StrategyResponsible AI & Bias Auditing

Trustworthy AI, independently audited.

Independent audits of fairness, robustness, explainability and privacy on existing models - and an embedded responsible-AI toolkit for new ones. We surface real-world harms before regulators, customers or journalists do.

Who this is for

Three signals you're ready for this work.

"High-impact model in production, no documented fairness review."

Quantified fairness audit with remediation plan in three weeks.

"Procurement, customers or regulators asking for explainability."

Model cards, SHAP/LIME tooling and counterfactual explanations.

"Drift suspected, no instrumentation in place."

Continuous monitoring with drift, bias and adversarial alerts.

Measurable outcomes

What clients see.

3 wks
Typical audit timeline per model
5
Dimensions covered: fairness, robustness, explainability, privacy, drift
100%
Findings ranked by severity, owner and remediation effort
0
Surprises in subsequent regulator or press review
Our proven approach

How we work.

01
Scope
3 days

Model, data, protected groups, performance baselines locked.

02
Audit
2 weeks

Fairness across groups, robustness, drift, explainability, privacy review.

03
Report
1 week

Findings ranked by severity, remediation playbook, model cards updated.

04
Embed
Ongoing

Responsible-AI checks in SDLC, continuous monitoring, periodic re-audit.

Deliverables

What you walk away with.

Concrete artefacts your board, your auditors and your delivery teams can all act on.

  • Fairness audit across protected groups and intersections
  • Robustness, drift and adversarial-test report
  • Explainability tooling (SHAP, LIME, counterfactuals) wired into the model
  • Privacy review and differential-privacy recommendations
  • Model card and data-sheet (regulator-facing)
  • Remediation playbook with severity-ranked actions
Anonymised example

European insurer · Pricing-model audit.

European insurer · Pricing-model audit

Identified and remediated indirect bias in a live pricing model before the regulator's scheduled review.

3weeks, scope to remediation plan
Common objections

Asked and answered.

What to expect

30 / 60 / 90.

Day 21
Audit complete

Findings, severity, remediation plan delivered.

Day 45
First remediations live

Top-severity issues addressed. Re-audit on the affected slices.

Day 90
Continuous monitoring on

Drift, fairness and robustness alerts running in production.

Why Kolomolo for Responsible AI & Bias Auditing

A delivery partner, not a deck factory.

Regulator-tested.

Audits structured for EU AI Act, sector regulators and procurement diligence.

Tooling-included.

We leave SHAP, LIME, drift monitors and model cards wired into your stack.

Independent.

Audit team is separate from any delivery work - no marking our own homework.

EU-data fluent.

Protected groups, GDPR constraints, sector rules applied correctly first time.

Find the issues before the regulator does.

Three weeks to a credible, evidence-led responsible-AI position.