This release is a step-function improvement in how workflows run, how systems respond, and how reliable the platform feels end-to-end.
We’ve eliminated sources of inconsistency across execution, reporting, and integrations—tightening the system so workflows behave as expected, reports stay in sync, and connectors deliver with precision. The result is a platform that’s not just functional, but dependable under real usage.
🛠️ Major Improvements
Workflow Reliability & Execution
Workflows now execute with significantly greater stability across edits, reruns, and concurrent usage.
Deterministic behavior when running and updating workflows
Stronger handling of long-running and parallel executions
Reduced failure points and unexpected interruptions
Reports & Draft Experience
Reports now reflect workflow state with accuracy and consistency—without manual intervention.
Clear and reliable representation of draft vs. published states
Reports persist correctly without refresh or loss
Improved visibility into outputs generated during testing
Integration Improvements
Integrations now operate with higher reliability and tighter response cycles.
Consistent Slack delivery and structured message formatting
Faster, more responsive integration performance
Increased accuracy across connector-based data flows
AI Workflow Behavior
Workflow logic is now more stable and context-aware across iterations.
Predictable behavior when editing or rerunning workflows
Stronger retention of prior workflow context
More consistent and repeatable outputs across runs
UI & Experience
The interface has been refined to reduce friction and improve clarity across key workflows.
More cohesive layouts and visual consistency across pages
Improved spacing, alignment, and component structure
Smoother, more intuitive interactions across the platform
⚡ Performance Enhancements
Workflow & System Performance
Performance improvements ensure workflows scale with usage without degradation.
Optimized execution for long-running workflows
Faster response times across integrations
Stable performance across concurrent workflow activity
🔧 Infrastructure & Operations
System Stability Improvements
Underlying system upgrades reinforce reliability across all platform layers.
More consistent handling of workflows and reports
Improved coordination across internal system processes
Stronger performance under sustained and scaled usage
This release strengthens workflow reliability, improves connector stability, and enhances report visibility across the platform. We focused on ensuring workflows run consistently during long executions, improving accuracy across Slack and Microsoft integrations, and making reports easier to access and track. These updates make automation more dependable, connectors more responsive, and overall workflow performance more stable.
🛠️ Major Improvements
Workflow Intelligence
Enhanced Workflow Search Capabilities Workflows now support a hybrid of keyword and semantic search, enabling more precise information retrieval across your workspace. What’s improved:
Combined keyword + semantic retrieval
More accurate discovery across connectors
Stronger context grounding for workflow execution
Smarter Tool Orchestration The workflow engine now prioritizes existing tools and integrations instead of generating redundant API logic. Updates include:
AI agents detect available tools before generating new code
Improved orchestration across connectors
Reduced unnecessary code generation
More reliable and maintainable automation behavior
Platform Improvements
Workflow Execution Stability Enhancements improve reliability when running multiple or long-running workflows.
Improved handling of extended workflow executions
Workflows no longer disappear after browser refresh
More stable execution when running workflows simultaneously
Consistent workflow progress tracking
Reports & Drafts Experience The reporting experience has been refined to ensure outputs are always visible and accessible.
Draft reports consistently appear in the Reports tab
Notification badges now indicate new draft reports
Reports generated during workflow tests are now visible
Eliminated cases where draft reports disappeared during repeated executions
Integration Improvements
Slack Integration Stability Slack interactions are now faster and more reliable.
Improved handling of Slack API rate limits
Reduced delays in typing indicators
More reliable message retrieval and interaction
Microsoft Connector Improvements Fixes and enhancements across Microsoft integrations improve accuracy and consistency.
Improved Outlook email search accuracy
Resolved email categorization issues
Fixed Microsoft Teams notification inconsistencies
Enhanced OAuth token handling
🐞 Bug Fixes
Workflow & Automation
Fixed duplicate workflow creation issues
Resolved workflows disappearing after extended execution
Fixed unexpected steps when editing workflow time ranges
Addressed failures in workflows shared across workspaces
Fixed Gmail search failures during workflow verification
Resolved Google Calendar workflow test failures
AI Workflow Reasoning
Fixed incorrect detection of unavailable Jira and Slack tools
Removed unwanted Jira-related instructions in generated release notes
When we first launched Skills by xdge, it consisted of two core building blocks:
Workflows — structured, multi-step automation
Prompts — reusable reasoning units for search, analysis, and generation
Both were powerful. Both were flexible.
But neither had direct access to a stable, production-grade action layer. If a Workflow or Prompt needed to take action, post to Slack, update Salesforce, or create a document, the system dynamically generated the required tool at runtime.
It worked. It felt magical. But it wasn’t how production systems scale.
Today, we’re introducing Tools, a third dimension of Skills, launching with 100+ prebuilt, certified actions that Workflows and Prompts can now call directly.
The Original Model: AI Generating Tools at Runtime
In the first generation of Skills, execution worked like this:
You describe what needs to happen. The system reasons through it. If a required tool didn’t exist, the code generator would build it on the fly.
Under the hood, it would:
Interpret the API
Infer input/output schemas
Generate integration logic
Test execution
Retry if needed
Run safely
This unlocked enormous flexibility. We weren’t constrained by a fixed catalog of actions, the system could synthesize what didn’t exist.
But there was a structural cost.
Every time a Workflow ran, for every tenant and every user, parts of the execution layer had to be rebuilt in real time. Even with guardrails and validation loops, that introduced latency and variability.
Common workflows could take 10–15 minutes to complete. Results were correct, but execution wasn’t deterministic.
For enterprise systems, that distinction matters.
Introducing Tools as a Third Dimension of Skills
Until now, Skills had two dimensions:
Workflows — orchestration
Prompts — reasoning
That combination allowed teams to analyze and coordinate work across systems.
What it lacked was a persistent, production-grade execution layer.
Tools are that third dimension.
Instead of dynamically generating common tools at runtime, we:
Took the same reasoning engine used in dynamic generation
Ran it offline at scale
Put developers in the loop
Standardized schemas and I/O contracts
Hardened and QA-certified behavior
Implemented directly in our backend
The result: 100+ production-grade, prebuilt tools available out of the box.
Most importantly:
Workflows and Prompts can now call Tools directly.
Reasoning lives in Prompts. Orchestration lives in Workflows. Deterministic execution lives in Tools.
Architectural Shift: Prebuilt Core Actions + AI for Custom Logic
Here’s what changed structurally.
Previously
Skills = Workflows + Prompts
Actions generated dynamically at runtime
Tool synthesis embedded inside execution loops
Retry and validation inside code-generation cycles
Now
Skills = Workflows + Prompts + Tools
High-frequency actions implemented as backend services
Structured and standardized input/output contracts
Stable, repeatable execution paths
Code generator focused on long-tail and custom logic
Repeatable, high-frequency work is handled by certified backend Tools.
The AI generator is reserved for:
Custom glue logic between systems
Rare edge cases
Specialized transformations
Novel workflows that don’t justify a prebuilt primitive
This separation is intentional. It’s how you get speed and flexibility without sacrificing reliability.
10–15 Minutes to 1–2 Minutes: Faster, Predictable Execution
With Tools in place:
Workflow execution drops from 10–15 minutes to 1–2 minutes for common paths
Results are consistent across tenants and runs
Observability improves
Enterprise trust increases
Workflows feel faster because they no longer rebuild their action layer on each run.
Prompts become more powerful because they can now trigger deterministic execution directly, not just reason about outcomes.
AI moves from analysis to action without introducing variability into the system.
What’s Included in the 100+ Tool Launch
The first 100+ Tools focus on high-frequency, business-critical actions across the systems teams use every day.
Salesforce
Change opportunity stage
Update opportunity fields
Create or update tasks
Add notes or follow-ups
Jira
Add a comment
Change issue status
Reassign an issue
Update fields
Gmail
Add or remove labels
Draft an email
Send templated replies
Organize threads
Slack & Microsoft Teams
Post a message to a channel
Send direct messages
Trigger structured updates
Documents & Content
Create Google Docs
Generate Word documents
Structure documents from templates
Populate content dynamically
These are the actions that typically follow reasoning:
Analyze → Decide → Act
Now, those action steps are prebuilt, certified, and directly callable.
Browsable in skills.xdge.ai
Executable in app.xdge.ai
Tools aren’t hidden infrastructure. They are visible, discoverable building blocks inside Skills.
You can:
Browse the growing catalog at skills.xdge.ai
Understand each tool’s input/output contract
See examples of usage
Call them directly inside app.xdge.ai via Workflows or Prompts
This makes Tools durable assets, not ephemeral code generated during execution.
They are searchable. They are versioned. They are reusable across teams.
And because they’re standardized, every Workflow and Prompt can rely on deterministic behavior.
From AI to Infrastructure
The first version of Skills proved that natural language could orchestrate real work across enterprise systems.
This version makes it dependable.
AI can generate impressive results. Infrastructure delivers consistent outcomes.
By introducing Tools as a certified execution layer inside Skills, we’ve shifted from dynamic generation everywhere to a structured, layered system:
Prompts handle reasoning
Workflows handle orchestration
Tools handle deterministic execution
Common actions are prebuilt and production-grade
Custom logic is generated only where flexibility is required
This is how AI platforms mature, not by removing flexibility, but by putting structure around it.
Scaling the Tools Layer
Today: 100+ prebuilt tools. Next: hundreds more.
We’re expanding across connectors and deepening capabilities inside each integration. The roadmap moves from dozens of apps toward 100+ apps and 1,000+ connectors.
The vision remains the same: Natural language as the control plane for enterprise systems.
What changed is the execution foundation.
If you’ve ever thought, “This should be automated.”
You’re right.
Now, Workflows and Prompts can call certified Tools directly and execute fast enough, and predictably enough, to depend on them.
This release focuses on reliability, automation stability, and meaningful UX refinements across xdge. We’ve resolved key issues affecting scheduled workflows, chat behavior, meeting status, and notifications while improving overall consistency across search, navigation, and editing experiences.
The result: workflows run when they’re supposed to, chat behaves predictably, and the product feels faster and more polished across the board.
✨ Improved User Experience
More Reliable Scheduled Workflows
Automation is now more dependable:
Scheduled workflows execute at the exact configured time
Scheduled runs no longer fail silently
Workflow status updates correctly after execution
You can trust your workflows to run without manual intervention.
Smoother Workflow Editing
Workflow editing is now clearer and more stable:
Renaming a workflow no longer causes unexpected regeneration
This release (Jan 15–31) focuses on strengthening workflow reliability, improving report accuracy, and refining the overall user experience across the platform. We’ve addressed key issues affecting workflow execution, report consistency, and integrations, while introducing improvements to notifications, Clips, and UI responsiveness. As a result, workflows run more reliably, reports are more accurate and complete, and the platform feels faster and more intuitive across all touchpoints.
🔔 New Features
Enhanced Notification System
Stay on top of workspace activity with a faster, clearer notification experience.
Real-time system and workspace notifications via the bell icon
Improved formatting for better readability and prioritization
More accurate delivery of important updates
Trial Expiration Email Alerts
Workspace admins now receive clear email notifications when trials expire.
Ensures visibility into subscription status
Provides clear next steps for renewal
🛠️ Major Improvements
Workflow Reliability & Execution
Workflows now execute more consistently, with improved handling of edge cases and integrations.
Fixed failures in Slack-based workflows and connector-driven steps
Improved handling of workflow execution states and transitions
Enhanced stability for workflows using multiple integrations (Jira, Google Docs, Salesforce)
Resolved issues with stale or inconsistent workflow artifacts
Improved workflow recovery and retry handling for failed executions
Reports & Data Accuracy
Reports are now more reliable, complete, and aligned with workflow outputs.
Fixed issues where reports required refresh to appear
Improved inclusion of data sources (e.g., Google Calendar events now reliably appear)
Resolved inconsistencies in report sections across integrations
Improved visibility and consistency of workflow-generated reports
Workflow Search & Integrations
Search and connector behavior is now more accurate and dependable.
Improved Slack activity and mentions retrieval in workflows
Fixed cases where connected apps were not properly recognized
Improved reliability of connector-based search results
Reduced failures across Jira, Gmail, and Salesforce integrations
Clips & Meetings Experience
Clips and meeting workflows are now more reliable end-to-end.
Clips now open automatically in a new tab after recording
Improved clip processing and playback reliability
Fixed issues with missing or corrupted recordings
Improved meeting bot reliability and transcript capture
UI & Experience
We’ve refined the interface to improve clarity, responsiveness, and consistency.
Improved layout and responsiveness across screen sizes
Fixed tooltip behavior, dropdown inconsistencies, and UI alignment issues
Improved chat responsiveness and reduced UI blocking issues
Standardized button styles, labels, and overall visual consistency
Reduced visual clutter and improved readability across pages
🐞 Bug Fixes
Workflow & Automation
Fixed workflow reports not appearing without refresh
Resolved app-switching issues that could break workflows
Fixed workflow plan getting stuck during generation in specific cases
Improved workflow debugging and execution visibility
Reports & Outputs
Fixed missing data in reports (including calendar events)
Resolved incorrect report sections appearing across integrations
Improved consistency when copying outputs (e.g., citation formatting fixes)
Integrations
Fixed Jira reconnect issues and connector inconsistencies
Resolved Slack workflow failures and search issues
Improved Gmail and Salesforce workflow reliability
UI & System Behavior
Fixed left-side chat UI getting stuck in certain scenarios
Resolved dropdown duplication and layout inconsistencies
Fixed icon, label, and alignment issues across the platform
Addressed onboarding and connector visibility issues
⚡ Performance Enhancements
Workflow & System Performance
The platform now performs more reliably across workflows, search, and integrations.
Faster workflow execution and report generation
Improved responsiveness across workflow builder and reports
More stable performance across concurrent workflows
🔧 Infrastructure & Operations
System Stability Improvements
Underlying improvements ensure more consistent performance at scale.
Enhanced handling of workflow state transitions and retries
Improved reliability of connector interactions and data retrieval
Strengthened overall system stability across workflows, reports, and UI
🧹 Deprecations & Removals
Naming Update
“Deep Research” has been renamed to Workflows
Existing links continue to redirect, but updating bookmarks is recommended
This release focuses on improving workflow reliability, fixing data inconsistencies in reports, and refining the overall experience across workflows, search, and integrations. We addressed issues that impacted execution stability, report accuracy, and UI responsiveness, making workflows more dependable and outputs more trustworthy.
🛠️ Major Improvements
Workflow Reliability & Execution
Workflows now execute more reliably across complex steps and integrations, especially in cases involving multiple connectors or longer execution chains. These updates improve consistency and reduce unexpected failures during both creation and runtime.
Improved stability for workflows involving multiple integrations (Slack, Jira, Salesforce, Google Docs)
Reduced failures caused by app switching and connector inconsistencies
Improved handling of workflow planning and execution edge cases
Enhanced workflow recovery and retry behavior
Reports & Data Accuracy
Reports are now more complete, consistent, and aligned with actual workflow outputs. These improvements ensure that users can trust the data being surfaced without needing manual refreshes or verification.
Fixed issues where reports required refresh to appear
Improved inclusion of data sources (e.g., calendar events now reliably show)
Resolved inconsistencies in report sections across integrations
Improved accuracy of generated workflow outputs
Workflow Search & Integrations
Search and connector behavior are now more accurate and dependable across workflows. These updates improve how data is retrieved and ensure integrations behave consistently during execution.
Improved Slack-based workflow search reliability
Fixed issues with connectors not being properly recognized
Improved data retrieval across Jira, Gmail, and Salesforce
Reduced failures caused by connector misconfigurations
Workflow Builder & Chat Experience
The workflow creation and debugging experience is now smoother and more predictable. Improvements here reduce friction when building workflows and make it easier to identify and resolve issues during execution.
Improved workflow chat responsiveness and reduced UI freezing issues
Enhanced debugging experience during workflow execution
Improved handling of workflow plans getting stuck during generation
Better consistency when editing workflows and updating steps
UI & Experience
We’ve refined the interface across key areas to improve clarity, responsiveness, and overall usability. These updates create a more consistent and intuitive experience across the platform.
Improved responsiveness across large screens and layouts
Fixed dropdown, tooltip, and alignment inconsistencies
Standardized button styles, labels, and spacing
Improved visibility of key UI elements (icons, links, connectors)
Reduced visual inconsistencies across workflow and report pages
🐞 Bug Fixes
Workflow & Automation
We resolved several issues that impacted workflow execution and reliability, particularly in edge cases involving integrations and complex workflows.
Fixed stale artifacts appearing in newly created workflows
Resolved workflow failures caused by app switching
Fixed issues with workflow plan getting stuck during execution
Improved reliability of workflow-generated outputs across integrations
Reports & Outputs
Fixes ensure that reports are accurate, complete, and consistently reflect workflow results without requiring manual intervention.
Fixed missing data in reports (including calendar events)
Resolved incorrect report sections appearing across integrations
Fixed report visibility issues requiring refresh
Improved formatting when copying outputs
Integrations
Integration reliability has been improved across key connectors, reducing failures and improving consistency in workflow execution.
Fixed Jira reconnect issues despite active connections
Resolved Slack workflow search failures
Fixed GDoc → Jira ticket creation failures
Improved Salesforce workflow reliability
UI & System Behavior
We addressed several UI inconsistencies and interaction issues to improve the overall experience and reduce friction across the platform.
Fixed left-side chat UI getting stuck
Resolved duplicate dropdown rendering issues
Fixed chart editing inconsistencies in workflow edit mode
Addressed connector visibility issues in search
Fixed profile dropdown and tooltip behavior
Improved onboarding and homepage experience
⚡ Performance Enhancements
Workflow & UI Responsiveness
The platform now responds faster and more consistently during workflow interactions, especially in high-load or multi-workflow scenarios.
Faster and more stable workflow execution
Improved responsiveness across workflow builder and reports
More reliable performance across concurrent workflows
Reduced latency in connector-based data retrieval
🔧 Infrastructure & Operations
System Stability Improvements
Underlying improvements enhance consistency, reduce edge-case failures, and support more reliable performance at scale.
Improved handling of workflow state transitions and execution flows
Strengthened connector reliability and data handling
Enhanced overall system stability across workflows, reports, and UI layers
2025 marked a turning point for the company. We evolved from an AI workplace search tool into a complete knowledge and automation platform, and reintroduced ourselves as xdge.
Throughout the year, we focused on delivering the following concrete outcomes for our customers:
Enterprise automation & actions – turning research and insights into executable workflows that transform ideas into actions. Orchestration, actions, code-generation, safe-mode previews & chat-based flow builder.
Speed that feels instant – search and assist fast enough to be used continuously throughout the day. A massively multi-threaded & optimized enterprise RAG stack.
Platform depth & breadth – ensuring users see value through the versatility & robustness of capabilities: Automations & actions, Skills Library, Salesforce & Jira query languages, web search, & the Microsoft stack.
Meeting intelligence without friction – capturing and operationalizing meeting knowledge without disrupting conversations. Meetings & Clips for synchronous and asynchronous note-taking.
The rebrand from Ayraa to xdgeAI - a new name & brand that goes beyond being just an AI assistant to being an end-to-end enterprise platform.
Below is a recap of what we shipped in 2025, organized around these themes. Together, these releases transformed xdge into a platform teams rely on every day to search, reason, and act.
Enterprise Automations & Actions 🤖
The most crucial product theme of 2025 was automation, not automation that suggests actions, but automation that does the work.
Workflows 2.0: Automatic Tool Creation (Flagship)
Our most significant product achievement of 2025 was the launch of Workflows 2.0.
This marked our transition from AI that answers questions to AI that builds and runs tools on your behalf.
Over the summer, our Workflows evolved dramatically. By September, Workflows 2.0 launched, allowing multi-step automations that can not only gather information but also perform updates and create records in other apps. We introduced a safe execution mode (“dry run”) so you can preview what a workflow will do before it makes any changes, giving you confidence and control. This paved the way for true “hands-off” automation of business processes.
Workflows 2.0 is now the foundation of the xdge platform and the lens through which future features are built.
Real Workflow Examples
Throughout 2025, we built and demoed powerful use cases that replace manual work:
Slack → Jira Automation: Using our workflow engine, we set up an automated process that listens for bug discussion in Slack and creates Jira tickets autonomously. No more forgetting to file a ticket – the system recognizes when a message describes a bug or task and logs it for you in Jira, complete with details.
Salesforce Data Sync: We deployed a workflow that monitors deal updates in Slack or email threads and updates Salesforce records accordingly. It even automatically moves opportunities through the pipeline stages. This kept CRM data up to date without having sales reps spend time on data entry.
Daily Team Report Generation: We launched an automation in November that pulls together activity from Jira and Slack to produce a daily progress report. It compiles what got done each day, what’s stuck, and key achievements, then shares it to a team Slack channel each morning. Managers no longer need to chase updates or assemble reports manually – they wake up to a ready-made digest of yesterday’s work.
Inbox Zero for Gmail: One of our new workflows (readied in December) uses AI to continuously triage your email. It analyzes incoming Gmail messages and auto-labels them into categories like Important, Needs Response, FYI/Notifications, or Spam. Frequent contacts and urgent content get flagged so you can focus, while routine notifications are tucked away. This helps busy professionals maintain inbox zero with minimal effort, as the AI skim-filters the noise and spotlights what matters.
“Replit for Work” – Custom Tools on the Fly
A highlight of our automation journey was unveiling dynamic tool creation in June, think of it as a “Replit for work”. This technology enables our AI to generate custom mini-apps or connectors on the fly within a workflow. If your process needs to interact with a system that isn’t pre-integrated, the AI can spin up a temporary tool or code to bridge the gap. This is cutting-edge agentic AI, and it means our platform can adapt to handle novel tasks without waiting for our engineers to build a custom integration. It’s a glimpse of how future-proof and flexible automation can be.
Speed That Feels Instant 🚀
In 2025, speed became a top-priority product. Our goal was simple: make xdge fast enough that it disappears into the background of daily work.
Sub-Second Search
We began the year by overhauling our core search engine. In January, we launched an improved Recent Search mode that delivers near-instant answers for the last 90 days of data. By combining semantic retrieval with optimized keyword indexing, search now returns results in seconds across email, Slack, documents, and meetings.
We also introduced more intelligent ranking using Reciprocal Rank Fusion (RRF), ensuring the most relevant results consistently surface first. This reduced noise and made search behavior feel intuitive and predictable.
Faster App Performance
Beyond search, we aggressively optimized platform performance. By early Q1, page load times dropped by 43%, from ~3.5 seconds to under 2 seconds. Additional improvements later in the year, including smarter caching and progressive loading, made navigating Search, Chat, and Workflows feel fluid and responsive, on par with top consumer apps.
Faster AI Responses
Speed mattered just as much for AI assistance. By mid-year, we optimized our AI orchestration pipeline and model selection, dramatically reducing response times. Complex cross-tool questions like “What’s the status of Project X?” now return coherent answers in seconds, enabling a truly conversational workflow that keeps pace with how people think.
Instant Indexing
In September, we eliminated one of the most significant onboarding pain points: waiting for data to index. With pre-crawling, new integrations (Google Drive, Box, Confluence, etc.) now index the most recent 30 days of content within minutes. Teams can start searching immediately, rather than waiting hours or days.
Together, these enhancements made xdge incredibly responsive. Speed isn’t just a nicety; it drives usage. With sub-second searches and immediate answers, our platform became something teams rely on dozens of times a day to find information and get work done without interruption.
Platform Depth & Breadth 🏭
In 2025, xdge AI became more versatile and powerful
Skills Library & Templates
Perhaps our strongest initiative for rapid time-to-value was launching the xdge Skills Library. This is a public, searchable gallery (at skills.xdge.ai) of pre-built workflow templates, prompts, and “skills” curated by our team. We spent months developing and refining templates for everyday use cases in Sales, Engineering, Customer Success, and more. On November 17, we officially launched the library with an initial batch of certified workflows, including a Slack-to-Jira issue creator, the Gmail Inbox Zero triage bot, a Salesforce opportunity updater, and a daily team activity report generator. Instead of starting from scratch, new users can browse the Skills Library and deploy a ready-made workflow in minutes. It’s like having an app store for work automation, one that dramatically cuts down the time and expertise needed to get up and running. For example, a sales manager curious about xdge can grab a “Salesforce Pipeline Health Check” skill from the library and see it working with their data on day 1, without any complex setup. This library continues to grow, and it embodies our commitment to out-of-the-box value.
Salesforce & Jira: Live Business Querying with SOQL and JQL
Early in the year, we shipped Salesforce Integration v2, powered by native SOQL-based querying. Users can now ask natural-language questions about Salesforce data and get live answers, without building reports or dashboards.
Examples:
“Which enterprise deals over $100k are at risk this quarter?”
“What opportunities have been stuck in negotiation for more than 30 days?”
We extended the same capability to engineering teams with Jira JQL-powered querying, enabling questions like:
“Which high-priority bugs have been open for more than two sprints?”
“What tickets were created after last week’s incident?”
Behind the scenes, xdge translates intent into optimized SOQL and JQL, executes queries safely, and returns structured results instantly. Salesforce and Jira became conversational systems, not static databases.
Web Search, Built In
In 2025, xdge expanded beyond internal knowledge by introducing native web search, fully integrated into Assist, Deep Research, and Workflows.
Users can now combine internal company context with real-time external information, for example:
Market research blending internal sales notes with live competitor updates
Vendor evaluations enriched with current documentation and pricing
Research workflows that continuously monitor the web for changes
Web search in xdge is context-aware, citable, and composable into workflows, making xdge a true research and execution layer, not just a workplace search tool.
Microsoft Ecosystem Integration
We also completed full integration with the Microsoft ecosystem, a critical milestone for enterprise adoption.
xdge now supports:
Microsoft Outlook Email
Microsoft Outlook Calendar
Microsoft OneDrive
Microsoft SharePoint
Microsoft Teams meetings
Microsoft Teams chat
Teams can search and summarize emails, generate follow-ups from meetings, trigger workflows from calendar events, and combine Microsoft data with Salesforce, Jira, Slack, and Drive, all in one place.
For Microsoft-first organizations, this unlocked xdge as a unified intelligence layer across their entire stack.
Meeting Intelligence Without Friction 📈
Meetings contain some of the most valuable information in any organization, but capturing and using that information is usually painful. This year, we made meeting intelligence a seamless part of xdge without friction or third-party bots, so you can focus on the conversation while the AI handles the rest.
First-Party Meeting Infrastructure
At the start of 2025, we made a big architectural change: we brought our meeting transcription bots in-house. Our Meetings v2 update replaced third-party services with xdge’s own proprietary bot. When you schedule a meeting (on Zoom, Google Meet, or Microsoft Teams), our bot joins to record, transcribe, and summarize, now with greater reliability and security since it’s all under our roof.
By November, we had fully migrated all meeting recordings to our own infrastructure, squashing a host of lingering issues (especially around MS Teams) and improving accuracy in speaker identification and note-taking. This gave us more control to innovate faster on meeting features without being held back by external dependencies.
Lower Costs, More Data
By owning the full meeting pipeline and optimizing our tech, we slashed the cost of transcribing meetings by 80% (from about $1 per hour of audio to just $0.20). These savings enabled us to consider offering transcriptions at disruptively low pricing. Our vision is to remove any barrier to recording and analyzing meetings – you shouldn’t have to think twice about hitting “Record” on an important call. We’d rather you capture everything (with consent) and let the AI surface the highlights, action items, and insights for you later. This strategy of potentially making text transcripts free (while charging for premium video/audio features) also drives virality: it encourages sharing meeting notes and AI summaries widely within and even outside your organization.
Botless Recording with Clips
We tackled the common concern: not everyone is comfortable with a bot in their meeting. In February, we pioneered a botless meeting recorder using a browser extension.
This approach captures audio clips (and even screen-shares) directly from your browser during a meeting, so there’s no visible bot participant.
By August, Clips graduated from QA into production as a lightweight way to record any conversation or demo, not just formal meetings. With one click, you can capture your screen and microphone, and our system will transcribe and analyze the recording. It’s like a stealth meeting recorder or a next-gen “Loom,” right inside xdge. Clips produces transcripts in as little as 20–30 seconds after you finish recording, and it provides AI-generated summaries and even a chat interface to ask questions about the recording.
This was a game-changer for users who want to save call notes, create walkthrough videos, or share knowledge asynchronously without scheduling a meeting.
Chat With Meetings & AI Coaching
Throughout the year, we improved the quality of meeting intelligence. Our transcription accuracy and speaker detection improved, and we enhanced the summaries to include key points, decisions made, and follow-up actions.
By July, we introduced chat with your meetings, the ability to ask our AI Assistant questions about a specific meeting transcript or recording. Instead of re-reading notes, you can query, “What did we say about Project Alpha’s deadline?” or “Who was tasked with the budget review?” and get an instant answer pulled from the meeting content. This turns your past meetings into a searchable knowledge base.
Later in the year, we launched AI Coaching, delivering role-specific feedback after meetings, for sales, engineering, leadership, HR, and Customer Success, grounded in real conversation data.
These AI Coaching prompts analyze your meeting transcripts and give you tailored feedback and tips. Unlike sales-only tools that coach reps on calls, xdge’s coaching covers multiple roles: sales teams get feedback based on proven frameworks like SPIN Selling and Challenger Sale, Customer Success managers receive tips on relationship building and retention, engineering leads get communication and delegation guidance, HR leaders see suggestions rooted in Nonviolent Communication and even Radical Candor, and executives get coaching aligned with leadership models like GROW. This all happens automatically after your meetings; it’s like having a specialized coach in every team meeting, offering pointers on what went well and what could be improved, customized to each discipline. And because it’s based on actual conversation data, the feedback is concrete and immediately applicable.
In short, xdge turned meetings into structured, usable knowledge. Instead of conversations disappearing into calendar history, xdge makes them part of your day-to-day workflows.
The Rebrand: from Ayraa to xdge
In June 2025, we introduced xdge, a new name that reflects a clearer, more ambitious direction for the platform.
xdge represents a shift toward a reasoning-enabled, agentic system built to sit at the edge of enterprise intelligence. It’s designed to connect knowledge to execution through search, meetings, and workflows, and to serve as a durable infrastructure that teams can rely on every day.
Alongside the rebrand, we launched a refreshed website focused on clarity. Core pages like Workflows, Search, and Meetings were redesigned with direct, action-oriented language, while the homepage and “Why xdge?” page clearly show how the platform’s core products work together. A late-November refresh sharpened the message further with modern visuals and positioning aligned to real customer pain points.
We also invested heavily in educational resources to support adoption. Throughout Q4, we released end-to-end product demo videos showcasing real workflows and use cases, published technical deep dives and white papers for champions and decision-makers, and added a continuously playing platform demo so visitors can see xdge in action immediately.
Through these efforts, we drastically shortened the time between signing up and seeing results. Whether it’s deploying a pre-built workflow from the Skills Library, experiencing instant search, or watching a demo tailored to a specific use case, teams can move past setup quickly and start benefiting from xdge right away. Our goal is for teams of any size, from a 5-person startup to a 5,000-person enterprise, to feel value on Day One and grow value in the days and weeks that follow.
Enterprise & Security Readiness 🔐
In 2025, we strengthened xdge’s enterprise security and compliance foundation to support broader adoption across regulated organizations.
We achieved SOC 2 Type II certification, validating that our security controls are consistently enforced over time, and completed CASA v2 compliance, ensuring our Google Workspace integrations meet strict data protection standards. We also published a formal Security Whitepaper outlining our security architecture, encryption practices, and data handling model.
These milestones ensure xdge can be deployed with confidence in enterprise environments.
Looking Ahead 🔮
In 2026, we’re shifting from “capability expansion” to outcome depth. We’ve built a powerful platform—now we’re going to take the most important use cases and go deep enough that teams get turnkey solutions they don’t need to build in-house.
Here are the outcomes we’ll be focused on next:
Turnkey, end-to-end workflows for high-value use cases We’ll take our most-used workflows and harden them into complete solutions—fully integrated, fully automated, and ready to deploy.
Inbox Zero, built inside-out: not just triage, but a complete system for prioritization, follow-ups, routing, and closure—so your inbox stays clean without constant manual effort.
End-to-end sales automation: a tightly integrated motion that keeps your CRM and pipeline updated automatically. Opportunities get checked and progressed, tasks are created when deadlines approach, nudges are sent at the right time, Slack/email chatter gets captured into the opportunity record, and follow-up emails are drafted based on meeting next steps and live deal context. The goal: sales ops that runs itself, without every team assembling custom workflows.
RFP response automation: we’ll automate the workflow of responding to RFPs—pulling the right internal context, drafting responses, and packaging outputs so teams can move faster without reinventing the process each time.
Expanding into small business and solopreneur workflows We’re increasingly seeing demand beyond large enterprises—especially from small teams and operators who need automation even more because they don’t have staff bandwidth. We’ll build for use cases like staying on top of inbound customer messages (e.g., Facebook Messenger and SMS-style text inquiries), responding quickly, tracking follow-ups, and keeping customer communication organized across channels.
Connector scale: from dozens to thousands Today, we support dozens of connectors. In 2026, we’re aiming to reach hundreds to thousands—potentially through partners—so xdge can plug into far more systems without waiting on bespoke integrations.
Tools: expanding the Skills Library beyond workflows and prompts We’ll be launching Tools as a new capability that extends the Skills Library from workflows and prompts into certified, reusable action primitives—specific operations inside connectors that can be reliably called in automation.
For example, beyond searching and retrieving content from Google Docs or Microsoft Teams, tools will enable actions like:
Creating a Google Calendar event with attendees
Posting a message to a Microsoft Teams channel or thread
The key shift: instead of “vibe coding” connector logic on the fly via the “Replit for Work” approach, we’ll generate and ship these capabilities in advance in a certified, production-ready form. Over time, this becomes hundreds (and eventually thousands) of tools that dramatically reduce the time it takes to build and run automations.
That’s the focus for 2026: fewer DIY builds, more turnkey outcomes—powered by deeper workflows, broader connectors, and a certified tools layer that makes automation dramatically easier to deploy at scale.
Overview This release delivers significant stability improvements across xdge, an upgraded notification system, smoother workflows, improved meeting reliability, and UI refinements across all screen sizes. We worked with key issues impacting Clips, workflows, and meeting bots, while introducing enhancements that make xdge faster, clearer, and more intuitive to use.
🔔 New Features
Enhanced Notification System
Real-Time Bell Notifications
Stay on top of activity without checking multiple places. The new in-app notification center provides clearer, faster alerts:
Critical system events now appear instantly in the bell icon
Team activity notifications keep you updated on workspace actions
Redesigned formatting makes every notification easier to read
Trial Expiration Email Alerts
Workspace admins now automatically receive an email when a 14-day trial expires, ensuring complete visibility into subscription status and next steps.
✨ Improved User Experience
Automatic Clip Access
Once a Clip recording is complete, xdge now:
Opens a new tab automatically
Navigates directly to the newly created Clip No more hunting for your recording — you’re taken straight to your content.
