Assure the AI
that acts
on its own.
Agents don’t just answer — they take multi-step actions with your tools, APIs and data. Qapitol validates the whole workflow: every tool call, handoff, approval, fallback and business outcome — and stops the steps that can’t be trusted to run alone.
When AI stops suggesting and starts acting.
A chatbot says something wrong and a customer is annoyed. An agent does something wrong and money moves, a record changes, an API fires. The failure mode shifts from embarrassing to consequential the moment AI stops suggesting and starts acting.
Agents don’t fail at the model. They fail in the seams — a tool called with the wrong argument, a handoff that drops context, a fallback path no one tested, an approval step that was supposed to gate a critical action and didn’t. The model can be right and the workflow still wrong.
For an agentic workflow to be signable, every link in the chain has to hold.
Tool calls
The agent uses the right tool, with the right inputs, for the right reason.
Handoffs
Context survives every transfer between steps and between agents.
Approvals
Human gates exist on the actions that need them, and actually block.
Fallbacks
When the agent is uncertain or fails, it degrades safely.
Outcomes
The workflow produces the business result it was supposed to, not just a plausible one.
Not the diagram. The execution.
Qapitol maps the workflow as it actually runs — not the diagram, the execution. We trace every tool call, every handoff, every decision point, and probe the failure paths: what happens when the tool errors, when the input is adversarial, when the agent loops, when a human should have been asked and wasn’t.
The output is a control-gap view of the workflow — where oversight is missing, where a fallback doesn’t exist, where an action fires without a record — plus the evidence that the gaps you’ve closed actually hold.