FEATURES / AI CHAT

Ask a question. Get an answer. Not a dashboard.

Engineering leaders shouldn't need to learn a query language or navigate twelve tabs to find out why the last sprint missed its target. Type a question in plain English. Gitrevio answers with data, context, and recommendations.

Like talking to your best-informed team lead

# Example conversation
> Why did Sprint 42 slip?
Sprint 42 delivered 68% of planned story points (34/50). Three factors contributed:
1. Auth service rewrite pulled in 3 unplanned tickets mid-sprint (+18 SP)
2. Two reviewers were out — median review wait time hit 31h vs your 8h baseline
3. CI pipeline failures spiked 3x on Wednesday after the Node 22 upgrade
> What would have happened without the unplanned work?
Without the auth tickets, the team had capacity for ~46 SP. Likely outcome: 92% delivery — within your normal range.
> Who should review the auth PRs this week?
Based on knowledge ownership and current review load: Sarah (owns 60% of auth code, 4h avg review time, 2 PRs in queue) or Marcus (30% ownership, 6h avg, 0 in queue).

Gitrevio's AI chat connects to every data source in your stack — GitHub, GitLab, Jira, Linear, time tracking — and reasons across all of them at once.

It doesn't just repeat numbers back to you. It identifies root causes, correlates signals across systems, and suggests next steps. Ask a follow-up to go deeper.

Every answer cites its sources. Click through to the underlying commits, tickets, or PRs if you want to verify.

No training required. If you can ask the question in a Slack message, you can ask it in Gitrevio.

100+ questions, four dimensions

Our AI is pre-trained on the questions engineering leaders actually ask. Not generic analytics — the specific, nuanced questions that drive decisions.

People
> Who are our attrition risks and what signals are triggering?
> How is the new hire on the platform team ramping compared to baseline?
> What happens to delivery capacity if we lose our most senior backend dev?
> Which engineers are showing signs of burnout?
Process
> Why are our sprint completion rates declining?
> Where are the review bottlenecks forming this week?
> How does our cycle time compare to 90 days ago?
> Which teams are over-committing and which are sandbagging?
> What's the realistic timeline for the auth rewrite? Show me p50/p75/p90.
> Why did our review time spike? Break down the causes.
Code
> Where is tech debt accumulating fastest?
> Which repos have the highest change-failure rate?
> What's the quality difference between AI-assisted and hand-written code?
> Show me the files with the worst knowledge concentration.
Business
> What's the fully-loaded cost of the payments rewrite?
> How would adding two engineers to mobile affect the Q3 roadmap?
> Generate a board-ready engineering health summary.
> Are we spending more time on maintenance or new features this quarter?

Answers with charts, tables, and drill-downs

Gitrevio's chat doesn't just return text. Ask for a velocity trend and get an interactive chart. Ask for a team comparison and get a sortable data grid. Ask for attrition risks and get a table you can filter, export, and share.

> Show me velocity trend for all teams, last 6 sprints
# Interactive chart (AG Charts)
Backend ██████████████████ 45 → 52 (+16%)
Frontend ████████████░░░░░░ 38 → 34 (-11%)
Mobile ██████████████░░░░ 28 → 36 (+29%)
Platform ████████████████░░ 41 → 44 (+7%)
# Drill down: click any team for sprint detail
# Export: CSV, PNG, or share link
> List all PRs in review for more than 48 hours
# Sortable data grid (AG Grid)
PR Author Reviewer Wait
#1847 Alex R. Sarah C. 68h
#1832 Lisa M. Marcus T. 54h
#1829 Tom K. Sarah C. 51h
# Sort, filter, group by column
# Click PR number to open in GitHub

Built on AG Charts and AG Grid. Interactive charts render velocity trends, burndown curves, health score breakdowns, and activity distributions. Data grids give you sortable, filterable tables for PRs, contributors, sprints, and alerts — with inline links back to GitHub, Jira, or Linear.

The AI decides the best format for each answer. A trend question gets a line chart. A list question gets a data grid. A single-number question gets a direct answer with context. You don't choose the visualization — the answer does.

Our chat and yours

Gitrevio has its own full-featured chat with rich output — charts, grids, drill-downs. But it also integrates into the tools you already use, so you never have to leave your workflow.

Gitrevio Chat
Full-featured web interface with interactive AG Charts, sortable AG Grid tables, conversation history, and shareable threads. The richest experience — charts you can hover, tables you can filter, answers you can drill into.
Slack & Teams
Type /gitrevio in any channel or DM the bot directly. Get answers inline — no context switching. Thread-aware follow-ups. Condensed output optimized for messaging.
MCP (Claude, Cursor, Windsurf)
Connect via our MCP server. Your AI coding tool gets full access to engineering intelligence — 21 tools, 50+ prompts, structured data it can reason about.
API
Programmatic access to every query the chat can answer. Build intelligence into your own tools, dashboards, or agentic workflows.

Why chat beats dashboards

Dashboards show you what someone pre-decided you might want to see. They can't answer the question you have right now — the one that just came up in your 1:1, the one your VP asked in the exec meeting, the one that's nagging you at 10pm.

Gitrevio's AI chat handles the long tail of questions that dashboards never will. It correlates data across systems, reasons about cause and effect, and adapts to your team's specific context.

You still get structured views when you need them. The chat renders interactive charts and data grids right in the conversation. The best of both worlds — the flexibility of natural language with the precision of data visualization.

# Dashboard vs Chat
Dashboard:
Sprint velocity: 42 SP
Cycle time: 4.2 days
PR throughput: 23/week
Now what?
Chat:
"Your velocity dropped 15% this sprint.
The main driver was 3 PRs stuck in
review for 4+ days — all assigned to
the same reviewer who was on PTO.
Redistributing reviews across Sarah
and Tom would have saved ~12 SP."
[📊 Velocity chart] [📋 Stuck PRs table]

Stop navigating dashboards. Start asking questions.

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