MindMap Digital buying intent

Everyone in BFSI tells me the same thing: “We are already using AI.” Fair. But then I ask one question: 👉 “Which decision in your business is AI taking today without human intervention?” That’s where the room goes silent. Here’s the reality I see across most enterprises: AI is heavily used in analysis Somewhat used in recommendation Almost never trusted in execution Examples from real conversations: • Credit risk models exist → but final approval still manual • Fraud detection flags → but action taken by ops team • Next best offer is predicted → but campaigns still rule-based So AI is informing the business But not running the business Why this gap exists: 1. Ownership problem AI sits with data/tech teams But decisions sit with business teams 2. Risk appetite “No one wants to be the guy who let AI take a wrong decision” 3. Last-mile integration Models are built But not embedded into core systems (LOS, LMS, CRM, etc.) The shift I see coming (and already starting in pockets): AI moving from: “assistive intelligence” → “operational intelligence” Meaning: - Loan approvals in milliseconds (not queues) - Dynamic pricing based on live risk - Collections driven by AI-led prioritization - Claims processed end-to-end without human touch My learning after multiple enterprise deals: AI ROI is not unlocked at the model level. It is unlocked at the decision layer. Until AI starts taking decisions, it will always remain a cost center disguised as innovation. Curious to hear: Where is your org today — AI for insights, or AI for decisions?