• 🔴 Do regulators and clients ask how your model makes decisions?
    We produce clear explanations, not black boxes.
  • 🔴 Do you risk bias or brittle performance across segments?
    We test fairness, robustness and data coverage by cohort.
  • 🔴 Do you lack a documented model risk file for audits?
    We deliver a governance pack aligned to emerging rules.
🔴 Will your next RFP or audit stall because model evidence is missing?
We give you test results and documentation auditors accept.
🔴 Are you optimizing accuracy while ignoring model risk?
We quantify risk so business can decide with eyes open.
💯 Practice Areas
ADG’s AI Audit tests bias, robustness and explainability, validates data lineage and creates a model risk file with remediation steps.

In 6-8 weeks you get defensible evidence for regulators, customers and your own governance.

🔸 Evidence of fairness, robustness and explainability.
🔸 A complete model risk file for audits and RFPs.
🔸 Clear remediation roadmap with owners.
🔸 Reduced regulatory and reputational risk.
🔸 Better trust with customers and boards.
🔸 Faster approvals for deployments.
How It Works
Scope & access
Pick models and use cases, set audit depth and get data/model access paths that don’t block engineers.
☑️ Talk with ADG
Lineage & data sanity
Verify sources, consent and preprocessing. Fix obvious data pitfalls that sink audits before modeling.
Bias & robustness
Test cohorts and attack inputs to reveal brittle spots. Quantify impact so fixes are prioritized, not debated.
Explainability
Produce global/local explanations and simple narratives that product and legal can actually use.
Risk to code
Log risks with owners and turn remediations into PRs and config, not slide decks.
Evidence pack
Minimal, versioned artifacts that re-run on demand. Engineers can regenerate without waiting for us.
Governance (optional)
Periodic re-tests, doc refresh and risk tracking aligned with release cadence.
What you pay for
  • Assessment
    2-3 models, gap map for data lineage, bias, robustness, explainability.
  • Full audit
    Deep tests, model cards, risk register, remediation roadmap.
  • Governance retainer
    Monitoring of risk items, document updates, periodic re-tests.

General transparency note

Pricing reflects two components where applicable:
  • ✅ Expert work
    Architecture, implementation, monitoring, reporting.
  • ✅ Resources
    Compute, storage, network and third-party tooling used to meet your SLAs
Final price depends on number and type of models, data size/sensitivity, access method and explainability workload.
We keep these components itemized so you see exactly what delivers the outcome.