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The $5 Million POC: How One AI Pilot Exposed the 88% Failure Rate Nobody's Talking About

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Manage episode 490979142 series 3563480
Content provided by Jonathan Kvarfordt and AI Business Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jonathan Kvarfordt and AI Business Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

www.gtmaipodcast.com www.aibusinessnetwork.ai www.gtmaiacademy.com

https://www.linkedin.com/in/anuraggoel2/

The Hidden Crisis: Why Your AI Investment Is Probably Failing (And How to Fix It)

If you're like most executives diving into AI, you're doing it wrong. Dead wrong. And the numbers prove it.

In this week's explosive episode of the Go to Market AI podcast, enterprise transformation expert Anurag Goel (Red Hat, Salesforce, Adobe) drops a truth bomb that should terrify every C-suite executive: 88% of AI pilots never make it to production. But here's the kicker – he also reveals exactly how his team turned a simple POC into a $5 million value driver.

The Problem Nobody Wants to Admit

Let's start with the uncomfortable truth. While everyone's racing to implement AI tools, Goel exposes the fundamental flaw in most approaches: "AI founders are so passionate about what they have built... they jump to the shiny object. Look at the features that my technology has. It's so cool. Guess what? Executive buyers don't care."

This isn't just philosophical musing. BCG's research backs it up – 68% of AI pilots fail to scale because companies skip the critical step of defining clear objectives and success metrics. They're essentially burning money on technology theater.

The Strategic Framework That Changes Everything

Goel's approach flips the script entirely. Instead of starting with tools (the mistake 90% of companies make), he advocates for a three-phase transformation framework:

Phase 1: Problem Archaeology

  • Dig past symptoms to find root causes

  • Map the actual business process (not the idealized version)

  • Identify where value is being destroyed, not just where AI could be added

Phase 2: The Hypothesis-Led Discovery This is where things get interesting. Rather than running blind pilots, Goel's team creates what he calls a "hypothesis business case" BEFORE touching any technology. In the energy company example he shares, they identified a million-dollar opportunity in incident resolution time – then exceeded it by 10% during the pilot.

Phase 3: Power Dynamics Navigation Here's the brutal reality: Your POC champion isn't your buyer. Goel emphasizes the critical transition from "proof of concept" to "proof of value" – packaging results in a way that speaks to economic buyers who control budgets.

  continue reading

70 episodes

Artwork
iconShare
 
Manage episode 490979142 series 3563480
Content provided by Jonathan Kvarfordt and AI Business Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jonathan Kvarfordt and AI Business Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

www.gtmaipodcast.com www.aibusinessnetwork.ai www.gtmaiacademy.com

https://www.linkedin.com/in/anuraggoel2/

The Hidden Crisis: Why Your AI Investment Is Probably Failing (And How to Fix It)

If you're like most executives diving into AI, you're doing it wrong. Dead wrong. And the numbers prove it.

In this week's explosive episode of the Go to Market AI podcast, enterprise transformation expert Anurag Goel (Red Hat, Salesforce, Adobe) drops a truth bomb that should terrify every C-suite executive: 88% of AI pilots never make it to production. But here's the kicker – he also reveals exactly how his team turned a simple POC into a $5 million value driver.

The Problem Nobody Wants to Admit

Let's start with the uncomfortable truth. While everyone's racing to implement AI tools, Goel exposes the fundamental flaw in most approaches: "AI founders are so passionate about what they have built... they jump to the shiny object. Look at the features that my technology has. It's so cool. Guess what? Executive buyers don't care."

This isn't just philosophical musing. BCG's research backs it up – 68% of AI pilots fail to scale because companies skip the critical step of defining clear objectives and success metrics. They're essentially burning money on technology theater.

The Strategic Framework That Changes Everything

Goel's approach flips the script entirely. Instead of starting with tools (the mistake 90% of companies make), he advocates for a three-phase transformation framework:

Phase 1: Problem Archaeology

  • Dig past symptoms to find root causes

  • Map the actual business process (not the idealized version)

  • Identify where value is being destroyed, not just where AI could be added

Phase 2: The Hypothesis-Led Discovery This is where things get interesting. Rather than running blind pilots, Goel's team creates what he calls a "hypothesis business case" BEFORE touching any technology. In the energy company example he shares, they identified a million-dollar opportunity in incident resolution time – then exceeded it by 10% during the pilot.

Phase 3: Power Dynamics Navigation Here's the brutal reality: Your POC champion isn't your buyer. Goel emphasizes the critical transition from "proof of concept" to "proof of value" – packaging results in a way that speaks to economic buyers who control budgets.

  continue reading

70 episodes

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