Decision context infrastructure for AI-native teams.

Developers and AI agents make implementation choices constantly — but the product, business, and technical decisions that should constrain those choices live in docs, tickets, and chat threads where no one retrieves them. DecisionOps makes decisions machine-usable so they surface where work actually happens.

Teams already make hundreds of decisions. The issue isn't decision-making — it's that decisions aren't accessible when developers and agents are implementing tasks.

Without DecisionOps, agents generate solutions without constraints, developers rediscover the same decisions repeatedly, and alignment between product and engineering erodes silently.

DecisionOps turns decisions into structured, queryable context that's available at development time.

DecisionOps captures decisions through two workflows — one embedded in development, one standalone.

For developers and AI agents working in an IDE:

 ① Install the DecisionOps skill in your IDE
   (works with any IDE that supports skills)
                    ↓
 ② Connect to the DecisionOps MCP Server
                    ↓
 ③ Every prompt is evaluated — when a decision
   is being made, DecisionOps captures it as
   a structured Decision Record automatically

Decisions made by developers and AI agents during coding — framework choices, architecture calls, dependency selections — are recorded as they happen, not after the fact.

For product, business, and cross-functional decisions that happen outside the IDE:

 ① Log in at app.aidecisionops.com
                    ↓
 ② Record the decision with context,
   scope, alternatives, and owners
                    ↓
 ③ Decision is immediately queryable
   by developers and agents via the
   Context API and MCP Server

Both workflows feed the same Decision Graph — so whether a decision was made in a sprint planning meeting or in a coding session with an AI agent, it's structured, versioned, and retrievable at development time.

Software engineering has DevOps.

AI engineering has MLOps.

DecisionOps ensures systems remember why they were built the way they were.