Madhav A.
Chief AI Officer | Production AI, AI Governance & ISO 42001
Most AI projects stall between a good demo and a system someone will run in production. I close that gap, then put governance around the system once it is live. I'm a Chief AI Officer at a 2,000-person IT group and an IIM Ahmedabad Executive Programme in AI for Business participant. I work in three steps: Build. Run. Govern. BUILD: AI that does a real job • Bilingual (English/Arabic) RAG wellbeing coach for a GCC enterprise: 23 nudge rules, wearable integration, safety escalation • Pharmacy operational-intelligence lakehouse for an EU SaaS company, with an n8n radar of 5 specialist agents • Voice coach in Norwegian, Swedish and English for a Nordic consumer-health app RUN: affordable to operate • One Azure cost audit saved €20K–32K a year on a single data platform • Took Claude from 5 to 22 seats across group companies in 4 months: about 1,700 pull requests in 90 days, with usage and data-security rules from day one GOVERN: safe enough to scale • Prepared an ISO/IEC 42001 certification application; wrote AI usage and data-security policies • Aligned AI governance to the EU AI Act, NIST AI RMF and India's DPDP Act WAYS TO START (fixed price, in my Project Catalog) 1. 2-week AI diagnostic → a 90-day roadmap you can fund 2. AI governance review → ISO 42001 / EU AI Act gap report and policy pack 3. Pilot-to-production sprint → your stuck pilot, hardened and live Earlier: GenAI transformation programmes across 20+ industries ($3M+ measured client savings), voice-AI pilots for about 19 customers, and an R&D team of 18 (8 granted patents). Before that, 8 years building and leading iOS, Android and web delivery (100+ apps shipped). Certified by Anthropic (Claude API, Claude Code, MCP, Agent Skills) and Google (Generative AI). Send me your use case and where it's stuck. I'll reply with the first three things I'd check.