WTD helps regulated teams capture the output, apply the right standard, assign a named reviewer, and preserve the signed record before the work moves forward.
The gap is rarely the model alone. It is the missing business record: what was reviewed, what rule applied, who approved it, and what happened next.
Monitoring tells you what happened, after the fact. WTD works at the decision point itself, where a person accepts, rejects, or escalates AI-assisted work and leaves evidence the team can reconstruct later.
WTD is an independent assurance practice for AI-assisted work in regulated teams. We help set up the review gate, version the standard, capture the evidence, and produce a signed, tamper-evident decision record. The goal is simple: make the human judgment visible, and make the record hold up when someone checks it later.
Regulated mid-market teams in lending, insurance, and legal, where AI-assisted work already affects customers, contracts, or controls. The firms below the tier-one model-risk regime, carrying the same exposure with little of the apparatus.
Regulators recently pulled generative and agentic AI out of formal model-risk scope, without removing the exposure that comes with it. The liability stays with you. The record should too.
Founded by a business analyst and technical product owner with 20 years in regulated banking and finance. For WTD, this is a practice, not a platform.
A practical review flow and signed record structure your team owns: decision records, evidence manifests, exception queues, and review briefs that show patterns over time.