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Make Amazon Q act across your systems

Amazon Q is great at answering questions and automating tasks across AWS and connected business apps. Amazon Q connects to many apps, but governed, auditable execution in legacy and compliance-heavy systems needs an execution layer purpose-built for it. 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

Amazon Q can decide. It can't safely do.

Amazon Q is good at reasoning across AWS services and connected business apps — it can surface the right answer and decide the right next step. But deciding what to do and safely doing it across systems it doesn't own are two different problems. Wiring Amazon Q directly to those systems via ad-hoc API calls just creates a new class of risk: brittle integrations that break without warning, writes that can't be attributed to a specific policy or user, and no audit trail when something goes wrong.

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 Amazon Q?
No. Amazon Q handles the reasoning — it understands your question, determines intent, and decides what action should be taken. Upware handles the execution layer: it turns that decision into a governed, deterministic action against the target system, with full RBAC and an audit trail. They work together, each doing what it does best.
How does Amazon Q actually call an action through Upware?
Upware exposes each learned workflow as an AI skill over MCP or a standard API endpoint. Amazon Q invokes that skill the same way it would any tool call. From there, Upware's on-prem bridge replays the interaction deterministically against the target system — no API required on the system side — and returns a structured result back to Amazon Q.
What prevents Amazon Q from doing something it shouldn't?
Upware enforces policy at the execution layer, not just at the model layer. Before any action runs, Upware checks the calling identity against RBAC rules, applies any pre-configured verification steps, and logs the full action to an immutable audit trail. Even if Amazon Q decides to attempt something out of scope, Upware's governed execution layer blocks or gates it before it reaches the underlying system.

Give Amazon Q a safe way to act

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

Request a demo