Strategy that lives in your AI stack — not your slide deck.

Stratafy is the strategy ontology layer for AI-native enterprises and the firms that serve them.

Machine-readable mission, vision, principles, strategies, initiatives, objectives, metrics, decisions, and signals — persistent across engagements, queryable via MCP, and built so AI agents understand what your organisation is actually trying to do.

Strategy doesn't persist. AI agents can't reason against it.

Strategy lives in slide decks. Decks die in SharePoint folders. AI agents reconstruct strategic context from scratch every session, every engagement, every time — because strategy itself was never built to be read by anything but humans.

Stratafy fixes this by treating strategy as infrastructure. The mission, the principles, the objectives, the metrics, the decisions, the signals — captured once, persisted continuously, queryable by every agent, every team, every engagement that needs to know what the organisation is actually trying to do.

A schema layer for strategic state.

Stratafy persists every entity that defines an organisation's strategic state as machine-readable, queryable, composable infrastructure. Not a document. Not a dashboard. Not a deck. A structured ontology that makes strategy executable by AI agents without requiring those agents to reconstruct it on the fly.
Mission & Vision

The reason the organisation exists and the future it is pursuing. Captured once, referenced everywhere.

Beliefs & Principles

The convictions that shape decisions and the rules that constrain them. The cultural ontology of the organisation.

Strategies & Initiatives

How the organisation will compete and what it will actually do. Hierarchical, queryable, traceable.

Objectives & Metrics

What winning looks like and how it is measured. Connected to the strategies they belong to.

Decisions & Assumptions

The choices made and the bets they rest on. Reviewed when assumptions break.

Risks & Signals

What could go wrong and what the world is telling you. Continuously updated, routed to relevant strategies.

The architecture of AI-native strategy.

The Anthropic ecosystem is converging on a clear architecture for AI-native work. Foundation models reason. Persistence layers remember. Agent orchestrators execute. What's been missing is a strategy layer — the structured ontology that gives all of this a shared answer to what are we trying to do, and why. Stratafy is that layer.
Layer 4
Custodianship surface

Your team, your advisory firm, your fractional executive. The humans who own the strategy. Stratafy makes that ownership continuous instead of episodic.

Layer 3
Agent orchestration

Cowork. Agent OS. Custom deployments. Agents reason against Stratafy substrate to know what they're doing — not just how.

Layer 2
Strategic substrate · Stratafy

Mission, vision, beliefs, principles, strategies, initiatives, objectives, metrics, decisions, signals. Machine-readable. Queryable via MCP. Persistent across engagements.

Layer 1
Operational records

CRM, ERP, HRIS, finance, contract systems. Systems of record. Stratafy doesn't displace these — it gives them strategic meaning.

Built for the Anthropic ecosystem.

MCP-native by design. Live in the Anthropic Cowork marketplace. Architecturally aligned with Anthropic's persistent Memory tool and the broader plugin ecosystem.

Stratafy is the strategy schema layer that runs on top of Anthropic's persistence infrastructure, integrates with the Cowork agent runtime, and composes with the methodology of whichever advisory firm or internal team owns the strategic work.

Anthropic
Foundation models
Claude
Reasoning runtime
MCP
Open protocol
Cowork
Agent surface

What we believe.

Strategy is the meta-layer of every organisation. The agentic AI era will be defined by how well the meta-layer becomes machine-readable infrastructure. The firms and ecosystems that own the strategic context layer will own the next decade of professional services.

Read the full thesis

Ready to talk?

If you're building strategic infrastructure inside an enterprise, embedding it inside your firm's client work, or thinking about where Stratafy fits in your AI stack — we'd value the conversation.