Every Team's Knowledge.
One Query Away.
Teams create workspaces, connect their tools — GitHub, Confluence, Jira — and share them across the organization. Engineers, PMs, architects — anyone can query any shared workspace.
The Problem
Knowledge is everywhere. Finding it shouldn't require a meeting.
Knowledge Silos
Engineering knows the code. Product knows the roadmap. Architecture knows the guidelines. Nobody knows all three.
Meeting Tax
Need to understand another team's API? Schedule a meeting. Wait 3 days. Get a 30-minute window.
Stale Documentation
Confluence pages written 18 months ago. The code moved on. The docs didn't.
Create a Workspace. Connect Your Tools.
- Multiple integrations per workspace
Each workspace can connect GitHub repos, Confluence spaces, and Jira projects independently.
- Auto-generated code-maps
Connect a repo and get intelligent code-maps of every function, class, and dependency.
- Automatic indexing
Confluence pages and Jira projects are indexed automatically and stay up to date.
Workspaces aren't accounts — they're contexts. One team can have many workspaces, each connected to different repos, Confluence spaces, and Jira projects.
Create Workspace
novamart-commerce
Connect GitHub
novamart/commerce-api
Connect Confluence
novamart.atlassian.net/wiki
Connect Jira
novamart.atlassian.net/jira
Generate Code-Maps
47 functions mapped
Index Confluence
124 pages indexed
Workspace Ready
Share with your org
Cross-Team Knowledge, Zero Meetings
The analytics team needs to understand the commerce team's order events. Instead of scheduling a meeting or searching Slack, they query the shared workspace.
- Teams share workspaces with each other
No data leaves the org. Shared workspaces give cross-team visibility.
- AI understands code-maps AND docs together
Answers combine code structure, ADRs, and Confluence documentation in one response.
- Sources show workspace provenance
Every answer shows which workspace and integration each piece of information came from.
- Same knowledge base, different perspectives
Each team queries from their own context but accesses shared organizational knowledge.
Generate Documents From Your Codebase
Don't just find answers — create documents grounded in your organization's actual code and documentation. ADRs, runbooks, onboarding guides — all cited back to your sources.
- ADRs from existing code patterns and Confluence decisions
- Runbooks from incident history and infrastructure code
- Onboarding guides from scattered tribal knowledge across repos
- Technical specs from cross-service code analysis
Why This Matters
Generic AI hallucinates about your architecture. OutcomeOps generates from YOUR code-maps and docs — every claim cites an actual source you can verify.
Infinite Conversation Memory
No conversation limit. Reference findings from 30 questions ago. OutcomeOps chunks and indexes your research — nothing is ever forgotten.
- Deep research that builds on previous findings across services
- "Go back to..." and OutcomeOps knows exactly what you mean
- Perfect for architecture reviews, incident investigations, and onboarding
Why This Matters
Architecture investigations span 50+ messages across multiple services. Without memory, you'd re-explain context every 10 questions.
Technical Decisions Backed by Evidence
What's the real state of that integration? Pull insights from code-maps, Jira tickets, and Confluence specs. One query synthesizes what would take three meetings.
- Synthesize code analysis, Jira history, and Confluence specs
- Find patterns across services and team boundaries
- Make architecture decisions with evidence, not opinions
Why This Matters
Architecture decisions based on scattered opinions fail. Decisions backed by synthesized data from code, tickets, and docs succeed.
Analyzing code-maps, Jira tickets, and Confluence specs across both workspaces:
Risk 1: No idempotency keys. PaymentIntentService.java creates charges without idempotency. JIRA NOVA-2847 flagged this during PCI audit but remains open.
Risk 2: Webhook verification gap. The /webhook/stripe endpoint validates signatures but doesn't check event age. Replay attacks possible beyond Stripe's 5-min window.
Risk 3: Missing circuit breaker. The Confluence spec requires a circuit breaker (per ADR-0019) but the code calls Stripe directly without one.
One Platform, Every Role
Different questions. Same knowledge base. Instant answers.
Engineers
"How does authentication work across our microservices?"
Query code-maps and ADRs without interrupting the team that owns the service.
Product Managers
"What's the current state of the payment integration?"
Understand technical progress without scheduling standups.
Architects
"Does our OAuth implementation meet the guidelines in Confluence?"
Cross-reference code against architectural standards automatically.
Security & Compliance
"Which services handle PII and how is it encrypted at rest?"
Audit across all repos and documentation in seconds.
Integration Ecosystem
Connect the tools your teams already use.
GitHub
Repos, code-maps, PRs
Confluence
Spaces, pages, knowledge bases
Jira
Projects, issues, epics
Outlook
Email, calendar
SharePoint
Documents, sites
MS Teams
Channels, messages
Slack
Channels, threads
The Time Savings Are Real
Before
Need info from another team?
~1 week per cross-team question
After
Need info from another team?
~30 seconds
Make Your Organization's Knowledge Queryable
Stop losing knowledge to silos. Start sharing it across teams.