Slack says one thing. Jira says another. Your AI agent ships a third.
Engineering decisions get scattered across closed tickets and Slack threads - unlinked, unstructured, contradictory. Your agents find fragments. Your engineers find different answers. Nobody knows which interpretation actually won.
Align captures decisions where they already happen, links them across every tool, and surfaces conflicts before they become production code.
Every decision your team has made, connected and searchable.
Decisions get made across every tool your team uses - Slack, Jira, GitHub, Confluence. Align captures them, links them, and surfaces conflicts before anyone ships code against the wrong assumption.
These conversations happen in every engineering org. Every week.
Your AI agents don't hallucinate. They reason perfectly - over decisions hidden in closed tickets, Slack threads, and meetings nobody transcribed. These questions used to cause slow rework. Now they become production incidents 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.
Your agents have everything except what your team actually decided.
Agents output exactly what you give them. Code, docs, and APIs are already structured and queryable - agents handle those reliably. The reasoning behind every engineering decision is not. It's scattered across tools, unlinked, and inconsistent. That's the gap Align fills.
Deterministic inputs your agents already have
- Code repositories
- API schemas and type definitions
- Test suites and CI logs
- Runtime traces and metrics
Structured. Queryable. The kind of relevant, up-to-date context agents need to operate well.
The context they don't have
- Why you chose Postgres over DynamoDB
- Why auth got rewritten in Q3
- Which decisions are already superseded
- What conflicts with what
Some of this lives in Confluence and Notion. Most lives in Slack threads, meeting notes, and ticket comments. Either way it's unlinked, unstructured, and the agent goes fishing across tools to stitch it together. Every query returns a different answer depending on which thread it finds first.
Align captures, structures, and links these decisions into a queryable graph. Your agents get reliable context about what was decided, why, and where the supporting evidence lives - the same kind of structured, trusted context they already have for code, finally extended to your team's reasoning.
Every agent that touches your codebase needs to know what your team decided.
Karpathy's framing: "you can outsource your thinking but you can't outsource your understanding." 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 is the understanding layer. Your agents can query it before they build. Your engineers can search it before they debate.
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. The decision they were about to break gets caught before the first line ships, not after deployment.
Find the decision that shaped this in seconds.
Decisions live in Slack threads, Jira tickets, meeting transcripts, and PR comments. Align connects them into a single graph with relationships already resolved - so "why was this built this way?" has one answer, not seven.
Built by engineers who've lived this problem.
We're engineers who've lived this problem - and built the solution we kept needing. A decade building CI/CD systems, observability pipelines, and developer productivity tooling at scale, watching the decisions that shaped those systems disappear into Slack threads, DMs, and meetings nobody transcribed.
The hardest part of building Align wasn't the AI. It was the connector graph - pulling truthful signal from the tools where engineering actually happens, and resolving the relationships between them. We built that first. That's why everything else works.
Connects where decisions happen
See what's already buried in your Slack and Jira.
The best way to understand Align is to see it working on your own stack. Book a 30-minute walkthrough and we'll show you what decisions are already buried in your tools - and what your agents are shipping against right now.
Up and running in 30 minutes.
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.
One answer, not seven.
"Why was this built this way?" One search. Engineers onboard in days. Agents stop shipping against the wrong assumption.
Shape the Product with Us.
We're working with a small cohort of engineering teams to shape what comes next. Founder access and white-glove onboarding included.
Full product access for teams helping us build the next version of Align. All integrations, direct founder support, weekly check-ins to co-author the roadmap.
- All integrations included
- Conflict detection
- Direct founder access
- Cloud hosted
- Founding-partner pricing locked in
For organizations with security, compliance, or air-gapped deployment needs. Self-hosted via Helm, SSO, and dedicated support.
- Everything in Early Partner
- Self-hosted or cloud
- SAML / OIDC SSO
- SOC 2 & ISO 27001 roadmap
- Decision spaces & cascade tracking
- Dedicated support & SLA
All early partners get all integrations and direct founder access. Pricing model will be co-developed with the founding cohort.
Go Deeper
The technical architecture behind the decision graph. How Align captures decisions across the SDLC, structures them with AI, surfaces conflicts and superseded decisions across tools, and gives your agents queryable organizational memory.
Read the Technical Whitepaper →