What to Actually Ask an AI Consulting Firm Before Signing (Bangalore 2026 Breakdown)

Most AI consulting engagements fail for one of three reasons: strategy disconnected from engineering, no post-deployment ownership, or use-case prioritisation driven by engagement size rather than client ROI. After evaluating the top AI consulting firms in Bangalore, here's a technical and practical breakdown of what separates firms that deliver production systems from those that deliver documents. The capability stack that matters Layer 1 — Strategy : Use-case identification, ROI modelling, roadmapping Layer 2 — Engineering : Custom model dev, LLMOps, agentic systems, MLOps Layer 3 — Deployment : Cloud-native infra, integration with existing stack Layer 4 — Operations : Drift monitoring, retraining pipelines, managed services Most firms are strong at Layer 1. The firms worth hiring are strong at all four — and own the handoffs between them. The questions that reveal actual capability 1. Show a production deployment (not a pilot) with measurable outcomes 2. Who owns model drift detecti