Your 500 engineers on Copilot
are writing against an architecture
none of them fully knows.
AI coding tools accelerate output by 40–60%. But they generate code without organizational context. Every AI-assisted sprint widens the gap between what your architecture actually is and what your engineers think it is. This is how Coherence changes that.
The Problem
The strategy-execution gap widens with every sprint.
Your product roadmap drifts from what's actually being built in the codebase. 70–90% of strategic initiatives fail — often because what strategy says and what engineering executes are two different things. AI tools make this worse, not better, because they compound speed without context.
| Before Coherence | After Coherence |
|---|---|
| Quarterly strategy reviews reveal misalignment | Misalignment flagged in real-time during sprint |
| "We have a lot of tech debt" (vague) | "These 47 functions have no business mapping" (specific) |
| QA bottleneck after every AI-generated sprint | Validation runs at engineering velocity |
| Copilot generates code without architectural context | Every AI tool grounded in the governed ontology via MCP |
AI Governance
The Copilot Amnesia Problem.
Copilot, Cursor, and Devin generate code without knowing your organization. They produce syntactically correct but structurally blind output. Coherence injects the structural reality of your organization into every AI agent via the Model Context Protocol. Every output is grounded. Every mutation is governed.
Structural Context Injection
The ontology provides persistent architectural context to every AI coding tool via MCP. Agents that attempt out-of-scope mutations are blocked. Engineers retain full control through their change-management process.
Function-Level Alignment
Tree-sitter AST parsing maps actual function-level dependencies across 9+ languages and cross-references them against your business strategy. Every code change is traced to a business concept. Or flagged as drift.
The Solution
Function-level strategy alignment.
Click on any service in the Transformation Map. Trace a feature request from the product roadmap down to the specific code functions that implement it. See which functions have no business mapping. See where team structure conflicts with architecture.
- AST parsing for 9+ languages. Function-level granularity, not just file-level
- Every deployment mapped to business requirements in real-time
- Socio-technical friction detection: where team structure conflicts with architecture
- What-If simulation: model a cloud migration, API deprecation, or team reorg before committing
- Every AI tool governed via MCP — Copilot, Cursor, Devin output grounded in the ontology
Get Started
Map your codebase to your strategy.
A guided Discovery Sprint ingests your repos, applies business concept mapping, and shows you exactly where strategy and execution have diverged. See the ontology working against your own codebase.
Target buyers: Chief Product Officers · CTOs · Engineering Leaders
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