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Make Microsoft Copilot act across your systems

Microsoft Copilot is great at reasoning over Microsoft 365 content and orchestrating agents built in Copilot Studio. Copilot is strong across Microsoft 365 and connector-reachable apps, but acting in legacy, on-prem, or API-less systems needs a governed execution layer underneath. Upware is the harness that closes that gap.

Governed by policy & RBAC Full audit trail Outbound-only on-prem bridge No rip-and-replace
The wall

Microsoft Copilot can decide. It can't safely do.

Microsoft Copilot is genuinely good at reasoning over your organization's data and deciding what needs to happen next. The gap opens when that decision requires acting inside legacy, on-prem, or API-less systems that Microsoft doesn't own. Reaching those systems directly — through brittle connector glue or ad-hoc API calls bolted on afterward — trades one problem for a cluster of harder ones: writes that bypass governance, actions that can't be attributed to a specific user or policy, and an effectively unbounded action surface with no audit trail to speak of.

Brittle integration glue
Every system gets its own hand-built connector that breaks on the next change.
No governance
API keys and service accounts hand the agent more power than policy allows.
Unattributable actions
Writes land with no actor, no reason, and no audit trail.
Unbounded action
An open-ended agent acting directly — with no policy or verification around it — can take a wrong, irreversible action.
The harness

AI to learn. Deterministic to execute.

Upware learns the process once and encodes it as a mostly-deterministic workflow: system interactions replay exactly, and any LLM steps are wrapped in policy, verification, and audit — so execution stays governed and drift-proof.

O
Observe & Learn
Records the real workflow once, across every system it touches.
G
Generate
Builds the API, data flow, and logic automatically — no integration project.
E
Encapsulate
Wraps it as a governed AI skill over secure MCP or API.
R
Run
Executes deterministically — RBAC, audit, and scale built in.
FAQ

Common questions

Does Upware replace Microsoft Copilot?
No. Copilot stays as the reasoning and orchestration layer you already have. Upware sits underneath it as action infrastructure: it learns your cross-system processes, encapsulates them as governed AI skills over MCP or API, and gives Copilot a deterministic, auditable way to execute. The two are complementary — Copilot decides, Upware does the work safely.
How does Microsoft Copilot actually call an action in Upware?
Upware exposes each learned process as an AI skill via MCP or a standard API endpoint. Copilot (or an agent built in Copilot Studio) calls that skill the same way it would call any external tool. Upware's on-prem bridge handles the actual system interaction — replaying the recorded workflow deterministically, applying RBAC, and writing a full audit trail — without requiring the target system to have a native API.
What prevents Copilot from doing something wrong when it triggers an action in a real system?
Upware enforces policy-driven guardrails at the execution layer, not at the LLM layer. Every action runs through RBAC and a verification step before it touches a downstream system, and every interaction is logged to an immutable audit trail. Because Upware replays interactions deterministically rather than letting an LLM improvise at runtime, the range of possible outcomes is bounded and attributable — so a miscommunication between Copilot and the action layer fails safely rather than silently causing data writes that can't be traced.

Give Microsoft Copilot a safe way to act

See how Upware turns your agent's decisions into governed, audited execution.

Request a demo