AI Operations Stack
Why it matters
Most organisations deploy AI agents directly into workflows without considering how they access strategic context, coordinate with each other, or escalate decisions that exceed their authority. The AI Operations Stack provides a repeatable pattern that prevents the multi-agent friction that emerges when agents pursue conflicting objectives without shared infrastructure.
How Stratafy addresses this
Stratafy is the strategic context layer of the AI operations stack — the infrastructure that gives AI agents access to organisational intent, priorities, and constraints so they can operate with strategic awareness rather than just task-level competence.
Strategic context layer
Stratafy stores strategy as structured, queryable data — mission, vision, strategies, initiatives, risks, assumptions, and decisions with explicit relationships. This is the layer that AI agents query to understand what the organisation is trying to achieve and why.
Coordination via MCP
The MCP server exposes tools, resources, and prompt templates that any connected AI agent can use. Agents query current priorities before acting, check constraints before deciding, and report outcomes that feed back into the strategic layer — coordination through shared context, not message passing.
Escalation via trust spectrum
Five operating modes from fully autonomous to human-controlled define what AI agents can do at each governance level. Routine metric collection runs autonomously. Strategic decisions require human judgment. The trust spectrum is the escalation policy built into the infrastructure.
Execution via co-working
Human-AI co-working is the execution mode where both contribute actively — AI provides analysis against full strategic context, humans provide judgment and priority calls. Each session enriches the strategic layer, making future co-working more effective.