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Technology & communications
Give agents identities and connect AI outputs to inputs, actions, and human review.
AI work becomes easier to examine when you know which agent acted and which evidence was captured. Truthlocks provides identity and action records around the AI applications you connect.
Several agents can share tools, making it difficult to identify responsibility for an action.
Register separate identities and record assigned tasks, delegated permissions, tool references, and signed action receipts.
Follow a task’s recorded actions and compare them with the access your connected tools are configured to enforce.
An inspectable identity and action history for each participating agent.
A model score can circulate without the dataset or evaluation configuration that produced it.
Record model and dataset references, configuration fingerprints, the evaluation output, and the responsible reviewer’s recorded approval.
Check the report against its captured context and independently assess whether the evaluation is appropriate for deployment.
A reproducible reference point for discussing a model evaluation result.
An output may move into a business process without its review history following it.
Capture the agent identity, output fingerprint, source references, and the human acceptance, correction, or rejection event.
Inspect the captured evidence and review decision before using the output in a consequential workflow.
A clear record of the transition from generated output to reviewed work.
Put it into practice
Start with the capability your first use case needs. Add others as your process grows.
Register software agents, define their permissions, and connect their actions to a known identity.
Coordinate AI tasks and business processes with visible runs, defined policies, and recorded outcomes.
Organize agents, assign work, and review the actions and results they produce.
Define agent permissions, event capture, and review gates. Traceability depends on connected events and does not establish that a model’s answer is correct.
Use cases describe how to apply the platform. Your workflow may need APIs, external systems, and configuration; available features depend on your plan.
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