Responsible AI Audit Services
Auditing AI systems for real risk, not just theoretical concerns
Responsible AI concerns can feel abstract until you look at your specific system's actual data and decision logic - we review your particular AI implementation for concrete risks: biased training data, opaque decision logic, missing human oversight for high-stakes decisions.
The audit produces specific, actionable findings tied to your actual system, not a generic responsible-AI checklist.
Why generic AI ethics checklists miss the real risks
A generic responsible-AI framework applied without examining your actual data and use case produces theoretical findings that don't map to your genuine risk - what matters is whether your specific training data reflects real biases and whether your specific high-stakes decisions have appropriate human oversight.
We examine your actual system's data and logic, not just check boxes against a generic framework.
What's included
- A review of your actual training data and decision logic for concrete bias risks
- Assessment of transparency - can affected users understand why a decision was made
- Verification that high-stakes decisions have appropriate human oversight built in
- Specific, actionable recommendations tied to your actual system
Our process
1. Review your actual system
We examine your specific AI implementation, training data, and decision logic.
2. Assess concrete risks
We identify specific bias, transparency, and oversight gaps in your actual system.
3. Deliver actionable recommendations
You receive specific, prioritized recommendations, not generic checklist items.
Pricing
Pricing depends on the complexity of the AI system being audited and depth of review required. Range: Rs 60,000 - 280,000 - indicative, final quote after discovery. Request a quote or WhatsApp +92 324 2991303.
Industries we serve
Pakistani businesses deploying AI in decisions affecting customers, employees, or other stakeholders.