Check AI outputs before they reach the real world.
If it can act, it needs a checkpoint. Corentis Shield sits between an AI output and a customer, system or workflow action.
Corentis Shield
The checkpoint in action
AI output
Draft a standard payment-pressure message after a hardship disclosure.
Corentis Shield check
Policy, risk, customer context, evidence needs and approval rules are checked.
Required next step
Human review and evidence capture before any customer communication proceeds.
Evidence recorded
Decision, reason, policy version, timestamp and review status are recorded.
Reason
Customer hardship disclosed. Collections-pressure wording conflicts with the configured vulnerability handling policy.
The checkpoint before the real world
AI creates an output
Corentis Shield checks it
Decision returned
Evidence recorded
Clear outcomes before action
Proceed
The output fits your rules.
Review
A person should check before the action continues.
Escalate
A specialist or supervisor should take over.
Block
The output conflicts with policy, risk or evidence requirements.
What Corentis Shield checks
Draft replies. Proposed actions. Workflow updates. Check before action.
How Corentis connects
Cloud API
Start quickly by sending AI outputs to Corentis Shield before action.
SDK / Connector
Add the checkpoint into agents, chatbots, CRMs and workflow tools.
Webhook
Use low-code workflows to check proposed actions before continuing.
Private gateway
For sensitive environments, run the checkpoint closer to customer systems.
For technical teams
Under the simple checkpoint is the control layer technical teams need: policy checks, approval routing and evidence records before AI outputs are used.
Example input
agent: complaints_ai output_type: customer_reply context: hardship disclosed, complaint open, missed payment draft_reply: "We are unable to pause collections at this time."
Example decision
decision: block reason: hardship disclosure and open complaint make the wording unsafe under configured policy next_step: human_review evidence_needed: hardship disclosure, complaint history, proposed resolution
Why this matters for funding and partners
The same mechanism can support assurance pilots, commercial deployments and benchmark generation. It is a product path and an evidence path.
Action-level control, not just risk documentation
Governance tools document AI risk. Prompt guardrails filter model behaviour. Corentis Shield focuses on the moment before an AI output reaches a customer, system or live workflow.