Shivam.Consulting Blog
AI products, enablement & hiring
- AI Strategy (274)
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- Product Management Leadership (286)
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The AI Support Blueprint: From Zero Playbook to 75% Resolution and a Reimagined Team
Rolling out an AI Agent doesn’t just change workflows—it reshapes the team itself. I share how we went from no playbook to a functional AI Support…
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A Bold Bet on React: How Intercom’s Shift Unlocked Speed, AI Flow, and Developer Joy
Bold, pragmatic bets on platform choices can unlock compounding gains in speed, quality, and developer happiness. Intercom’s move from Ember to React shows how to reduce…
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Harness the AI Storm: My Playbook to Elevate Support, Win Executives, and Protect Teams
AI has changed support overnight, expanding expectations while raising the stakes for leaders and teams. In this playbook, I share how to harness AI’s momentum—becoming the…
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Fin 3 Unleashed: The best AI agent for complex customer support across every channel
Fin 3 raises the bar for AI-powered customer service by tackling complex queries end-to-end and extending coverage across Voice, Slack, and Discord. Procedures combine natural language…
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From Support to Sales: The Unified Customer Agent That Supercharges Your Entire CX
A single, unified Customer Agent can transform the entire customer journey—from first touch to renewal—by eliminating the chaos of competing AI Agents. In this perspective, I…
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A Practical Operating Model for GenAI Product Discovery
A practical operating model for linking customer evidence, GenAI evaluations, field pilots, decision rights, and production learning without slowing teams.
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Build vs. Buy in the AI Era: Proven Strategies to Master Product Decisions and Speed
As a VP of Product Management, I approach build vs. buy as a product strategy decision—especially in the AI era. In this piece, I share a…
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How Product Leaders Build Agency Without Lowering Ambition
A practical system to diagnose agency and ambition, set clear decision rights, and coach PMs toward bolder outcomes without taking ownership back.
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Building an AI-Era Product Operating Model That Can Learn
A practical operating model for giving AI product teams clear outcomes, faster evidence loops, proportionate governance, and a repeatable path to scale.
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