Vikas Goel

Blog

Notes from the engineering side of AI

Essays by Vikas Goel on AI agents, Voice AI, self-evolving systems, and the gap between AI demos and AI in production.

6 min read

India's GCCs Have the Agentic-AI Mandate. Most Will Still Miss It.

India's 2,100+ Global Capability Centers now have the board mandate to lead on agentic AI — 83% are scaling GenAI, 58% are piloting agents. But a GCC is structurally optimized for delivery and cost arbitrage, and agentic AI rewards the opposite muscle: owning outcomes, buying not building, and running eval + governance in production. Here's the operating-model climb from cost center to AI-first, and the specific gap most GCCs will fall into.

  • GCC
  • Agentic AI
  • India AI
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5 min read

Voice AI Agents Hallucinate. In a Regulated Call, That's a Compliance Incident.

A voice AI agent that hallucinates a balance, a policy limit, or a payoff amount hasn't made a cute mistake — in banking, insurance, or healthcare it has created a spoken, recorded, actionable liability. The fix isn't a better model or a sterner prompt. It's an architecture: retrieve the authoritative record, verify it against policy, then speak — or refuse. Here's how reliability actually gets engineered into a regulated voice agent.

  • Voice AI
  • Conversational AI
  • Enterprise AI
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6 min read

Deterministic AI Agents: How to Beat Hallucination on the Problems That Actually Matter

Ordinary AI is confident — which is fine until the problem is hard, contested, and expensive to get wrong. Then confidence without the ability to doubt itself becomes the danger. Here's why autonomous agents hallucinate on high-stakes problems, why a bigger model makes it worse, and the architecture that makes an agent trustworthy: argue, ground, verify, refuse, show.

  • Autonomous Agents
  • AI Hallucination
  • Deterministic AI
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6 min read

Why 95% of Enterprise AI Pilots Die — and the Operating Model of the 5% That Ship

95% of enterprise AI pilots show no measurable P&L impact — and it's almost never the model's fault. A pilot and a production system are different disciplines. Here's why pilots die in the gap between them, and the specific operating model the surviving 5% share: one owner, buy-not-build, eval discipline, a production harness, and ROI baselining.

  • Enterprise AI
  • AI Pilots
  • Production AI
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