Four stages. Each is independently valuable. You do not need to commit to all four.
Most teams move through four stages. Each stage adds value on its own. You can stop at any stage and still have a working, useful certification layer. Start with one function call; grow into a full trust layer when you are ready.
Every AI call that runs without certification is a decision you cannot prove later. Execution data is typically spread across multiple systems; reconstructing a decision after the fact often requires stitching together incomplete records. During an audit, a dispute, or an incident review, the absence of a self-contained record is the finding.
What you add: Add one function call next to your existing model call. Every AI inference produces a tamper-evident Certified Execution Record. Store it alongside your existing logs.
What changes: Every AI call now has a verifiable record. Auditors can confirm any single record in isolation.
Time to value: Under an hour.
What you add: Capture the evidence that fed each model run: tools called, documents retrieved, upstream decisions. Bind that context to the same record.
What changes: Records go from "model said X" to "model said X having seen exactly Y, Z, W." Audit value goes up significantly.
Time to value: Half a day for a typical app.
What you add: Group multi-step agent runs into a single verifiable artifact per session. Optionally register bundles with a NexArt node for independent attestation.
What changes: You can hand a customer or auditor one file per case, instead of a folder of individual records.
Time to value: One to two days.
Compare single records vs bundles
What you add: Ship the command-line verifier to your CI pipeline, your auditors, your customer success team, or your customers directly.
What changes: Certification value compounds when the verifier is in someone else's hands. Audits shift from "we say it happened" to "verify it yourself."
Time to value: Ongoing. Value compounds over time.
Observability tools show what happened. They do not prove it. The outcomes below describe what changes when proof exists.
Stage 1 takes under an hour. One function call, one certified record, stored in your existing database. No infrastructure change, no proxy, no middleware.
As scrutiny of AI systems increases, the cost of retrofitting evidence grows. Teams that instrument early capture every execution from day one. Teams that wait face gaps they cannot fill retroactively.
Want to understand the pieces first? See the NexArt Product Stack.