Define what is allowed.
Validate tool arguments and apply configured policies to supported agent calls. Set boundaries around actions, resources, and sensitive operations.
Trust middleware for AI agents
Give your agents
clear boundaries.
Pramagent checks what your AI agents are allowed to do, brings people into important decisions, and keeps an auditable record of what happened.
Early access · Built for developer evaluations and controlled pilots.
PRAMAGENT / ACTION REVIEW
Example workflow
Agent requests:
Export customer records
Export customer records
toolexport_records
policy checksensitive data detected
next stephuman review
DECISION / HOLDHuman approval required
The request stays on hold until an authorized person reviews the action.
Decision recordedTrace → review → action
↳ Policies before supported tool calls
◎ People in the approval loop
⌁ Tamper-evident audit trails
01 / What is Pramagent?
A trust layer between
intent and action.
AI agents can call tools, move data, and trigger workflows. Pramagent adds explicit checks around those actions so your team can set limits, review exceptions, and understand the outcome.
Keep people in control.
Hold consequential requests for human approval. Give reviewers the context they need before an agent proceeds with a protected action.
Follow the evidence.
Inspect traces and policy decisions in one console. Tamper-evident audit records help you investigate what happened and why it was allowed or held.
02 / How it works
Make each action
accountable.
Connect Pramagent through the Python SDK or API. Configure the checks your workflow needs, then use the console to review decisions and evidence.
An agent requests an action.
Send supported tool calls through your Pramagent integration.
Your policies are applied.
Check the tool, arguments, and context against configured rules.
People review when needed.
Require an authorized decision for actions that need approval.
The decision leaves a trace.
Inspect the outcome and keep evidence for later investigation.
03 / Optional quantum workflows
Bring the same care
to hardware jobs.
Request a Bell attestation on IBM Quantum hardware, review its backend and shot count, and approve execution from the console. Track the provider job and inspect the resulting evidence.
Hardware access is configured for each pilot. Jobs require explicit approval and use your IBM instance's plan and quota.
Open your workspaceBELL ATTESTATION / ILLUSTRATION
Build with boundaries.
Operate with clarity.
Explore Pramagent, create an early-access account, and take the next step toward a controlled agent workflow.