Give AI governed access to real business capabilities
MCP-native tool boundaries and versionable CLI Skills turn business capabilities into machine-readable, callable functions — so agents can act through governed interfaces, not hardcoded API glue.
Judgment is worthless without governed execution
AI judgment has no enterprise value unless it can call real business capabilities through governed, stable, machine-readable interfaces. The platform is API-first and cloud-native: every callable capability carries explicit inputs, outputs, constraints, failure behavior and governance boundaries across four domains — identity and entitlement, economic incentive, content and reach, and service and responsibility. Hardcoded integrations can’t express those boundaries safely.
MCP-native tools and composable CLI Skills
MCP (Model Context Protocol) describes tool boundaries, parameters and expected outcomes in a machine-readable format, so agents discover and use capabilities safely instead of relying on brittle hardcoded API calls. CLI Skills make those capabilities composable and versionable, and the platform connects into broader AI ecosystems — Microsoft Copilot, custom agents — as a governed execution node rather than a black box.
How it works
The mechanics behind ai frontier: mcp & skills.
MCP-native tool boundaries
Each capability is described in machine-readable form — inputs, outputs, constraints, failure behavior and governance boundary. Agents call it through MCP, which reduces misuse and makes every call governable.
Composable, versionable Skills
CLI Skills package business capabilities so they can be composed into workflows and versioned like software. Audiences and campaigns are built from live behavioral data via governed tool calls, not external data vendors.
Governed execution node
The platform plugs into broader enterprise AI ecosystems — Microsoft Copilot, custom agents — as a governed node. External orchestrators can invoke capabilities, but only within the boundaries MCP and the workflow layer enforce.
DEFACTO: 900+ audience segments built and activated internally through CLI-driven workflows — no external data vendor, with each campaign’s audience built from live behavioral data via governed tool calls.
Frequently asked
What is MCP and why does it matter to a CIO?
MCP (Model Context Protocol) is how agents discover and use capabilities safely. Instead of hardcoded API integrations, it describes tool boundaries, parameters, constraints and expected outcomes in a machine-readable format — reducing misuse, enabling governance, and letting the platform act as a governed node in a broader AI ecosystem.
Can this connect into Microsoft Copilot or our own agents?
Yes. The platform is API-first and exposes MCP-native capabilities, so it connects into broader AI ecosystems — including Microsoft Copilot and custom agents — as a governed execution node, with tool boundaries enforced on every call.
Do we need an external data vendor to build audiences?
No. DEFACTO built and activated 900+ segments internally through CLI-driven workflows, with each audience derived from live behavioral data via governed tool calls — no external data vendor in the path.
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