The decision graph for engineers and AI agents.
Engineering decisions die in Slack. AI agents ship code anyway. Align is the decision graph that links every decision across the tools your team already uses - so the why behind every choice lives where engineers and AI agents can find it.
Tag @align in any conversation. Decisions captured where they already happen. No templates. No docs to maintain.
One Decision Graph. Every Tool. Humans and AI.
Decisions get made across the tools your team already uses. Align captures them, links them, and surfaces conflicts in real time - so engineers and AI agents query the same source of truth.
Engineering Intent Gets Lost
Your AI agents don't hallucinate. They reason perfectly - over stale decisions buried in Slack threads, DMs, and meetings nobody transcribed.
Three questions every scaling engineering org hits. They used to cause slow rework. Now they become production code at AI speed.
"Why does this work this way?"
The person who decided left 8 months ago. The reasoning is buried in a Slack thread nobody can find. The ticket no longer matches the original decision. Temporary exceptions became permanent architecture.
"Didn't we already decide this?"
You did. Three months ago. But it was buried in a ticket, the ticket was closed, and now two teams are having the same debate with different outcomes. People thought they agreed but didn't.
"Show us your decision trail."
Your auditor wants it. Your new joiner needs it. Your AI agent is shipping code without it. Right now, producing it means weeks of archaeology across 15 tools.
Why Now?
AI agents are already shipping wrong code at scale. Replit AI deleted a production database in 9 seconds. Cursor rm -rf'd 70 files despite explicit instructions not to. Amazon's own Kiro nuked a Cost Explorer environment to "fix a bug." Ten documented incidents in 18 months. Zero postmortems. The category is forming this year. The question is whether you have a decision graph before your auditor - or your AI agent - asks for one.
Why Me?
Built by Thomas Knee, a London-based Staff Engineer in Test at Accelerant. Over a decade architecting CI/CD systems, observability pipelines, and developer productivity tools for organisations running mission-critical software - and watching the why behind engineering decisions disappear in Slack threads, DMs, and meetings nobody transcribed. So he built Align. The hardest part wasn't the AI. It was the connector graph - getting truthful decisions out of the tools where engineering actually happens, and linking them. He built that first. That's why the AI part works.
Give Your AI Agents Organizational Memory
Your agents have code context, doc context, and API context. They have zero decision context - why things were decided, what conflicts with what, and which choices are already obsolete. Align fills that gap with structured decision memory your agents can query and your engineers can search. One graph. Full organizational context.
CLAUDE.md for your org
A CLAUDE.md tells one agent how one repo works. Align gives every agent a queryable decision graph across your entire org - every tool, every team, every conflict.
Check before you build
Before writing code, agents query Align for relevant decisions and known conflicts. Drift gets caught before the first line ships, not after deployment.
One graph, every tool
Decisions live in Slack threads, Jira tickets, meeting transcripts, and PR comments. Align connects them into a single graph with relationships already resolved.
Connects where decisions happen
Find Any Decision. Across Any Tool.
Connect in minutes. Tag @align in any conversation and it captures, links, and tracks the decision across your entire SDLC, from conversation to production.
AI analyzes every connected tool and surfaces hundreds of buried decisions in minutes. No manual entry. No archaeology.
See Align in Action
How It Works
Connect in minutes
Add Align to your existing tools across your entire SDLC. OAuth setup takes minutes. No workflow changes, no training needed.
Capture in seconds
@align in chat, /align in comments. Align only processes
conversations you explicitly invite it into. AI extracts
the decision, detects conflicts, and tracks supersessions automatically.
Find answers immediately
"Why was this built this way?" One search. One answer. Onboard engineers in days, not months.
Gets More Valuable at Scale
The more teams connected, the more cross-team patterns Align discovers. Hidden conflicts, duplicate efforts, and strategic drift that no single team can see.
Simple, Transparent Pricing
Start free. No credit card. No workflow changes.
Full product access. All integrations, 3,000 decisions/month, and direct founder support.
- Up to 50 users
- 3,000 decisions / month
- All integrations
- Conflict detection
- Direct founder support
- Cloud hosted
For growing engineering teams. Graduated pricing that decreases as your team grows.
- Unlimited users & decisions
- All integrations
- Conflict detection
- Email + chat support
- Cloud hosted
Self-hosted or cloud. Decision spaces, cascade tracking, and organizational intelligence.
- Everything in Team
- Decision spaces (team/dept scoping)
- Strategic decision cascade tracking
- Self-hosted or cloud
- SAML / OIDC SSO
- SOC 2 & ISO 27001
- Dedicated support & SLA
All plans include all integrations and direct founder access. View detailed pricing breakdown →
Go Deeper
The technical architecture behind the decision graph. How Align captures decisions across the SDLC, structures them with AI, detects cross-tool drift, and gives your agents queryable organizational memory.
Read the Technical Whitepaper →