# Ed Gandia

> Practical AI Advisor & Builder for B2B Companies. I find the information your team can't see. And build AI systems that turn it into better decisions.

Ed Gandia helps manufacturers, distributors, and multi-location service companies (typically $5M to $100M in revenue) build role-specific AI environments around the decisions that matter most. His thesis: most companies have a visibility problem rather than a data problem. The information their teams need to make better calls already exists — it's just trapped in spreadsheets, inboxes, SOPs, and people's heads.

Background: 30 years in B2B sales, marketing, and operations. Co-author of *The Wealthy Freelancer* (Penguin/Random House). Host of a podcast with 1.3M+ downloads.

## Core pages

- [Homepage](https://www.edgandia.com/): Overview of Ed Gandia's practical AI advisory and building work, the visibility problem most B2B companies face, the three engagement models, and the types of companies he serves.
- [About](https://www.edgandia.com/about): Ed Gandia's background, the visibility-vs-data thesis at the heart of his work, why he builds AI systems instead of just training teams on AI, and what makes his approach different.
- [How I Help](https://www.edgandia.com/how-i-help): The three-phase engagement model — AI Opportunity Assessment, Role-Specific AI Builds, and Quarterly Sprints — for B2B companies that want to build AI systems around the decisions that matter most.
- [Contact](https://www.edgandia.com/contact): Book a free 25-minute AI Opportunity Call to find where the biggest AI value might be hiding in your operation.
- [Blog](https://www.edgandia.com/blog): Practical insights on AI for B2B companies.

## Blog posts

- [Tariffs, Volatile Costs, Supplier Shifts: Why Your Decision-Making Process Needs AI Now](https://www.edgandia.com/blog/decision-making-process-needs-ai): Most AI conversations focus on speed: faster emails, faster reports, faster data pulls. But the bigger opportunity sits at the decision layer. Here's why your current process for making high-stakes calls might not keep up with what's coming.
- [Why PE's New Growth Targets Should Worry Every Home Services Operator](https://www.edgandia.com/blog/pe-growth-targets-home-services-operators): PE-backed companies now need 12% annual EBITDA growth, up from 5%. That puts massive pressure on your competitors to find operational gains they never had to look for. Here's why it matters even if you're independently owned.
- [Why Your Team Stopped Using AI, and How Role-Specific AI Environments Fix It](https://www.edgandia.com/blog/why-your-team-stopped-using-ai): Six months ago, your company bought 25 ChatGPT licenses. Today, one person uses it for emails. Three others opened it twice. Access was never the bottleneck. Here's what's actually missing — and how to build it.
- [AI Adoption Is Failing the Same Way CRM Did 25 Years Ago](https://www.edgandia.com/blog/ai-adoption-failing-like-crm-25-years-ago): In the early 2000s, companies bought CRM software and told their teams to log everything. Adoption was a disaster. 25 years later, companies are buying AI tools and telling their teams to 'just try it.' Same playbook. Same result.
- [How PE-Backed Distributors Are Using AI to Pull Ahead, and How Mid-Market Companies Can Compete](https://www.edgandia.com/blog/pe-backed-distributors-ai-mid-market-can-compete): Private equity firms have shifted away from financial engineering. They're now betting on AI-driven decision-making. If you're a $45M distributor competing with PE-backed players, here's how to compete without the seven-figure budget.
- [Why Generic AI Tools Fail Sales Teams, and What to Build Instead](https://www.edgandia.com/blog/why-generic-ai-tools-fail-sales-teams): Generic AI access doesn't stick. Role-specific systems do. Here's what your sales reps actually need — and why most rollouts never get there.
- [Where Should Your Company Start with AI? Find the Asymmetric Opportunity First](https://www.edgandia.com/blog/where-to-start-with-ai-asymmetric-opportunity): When companies ask where to start with AI, I'm always looking for the same thing: the asymmetric opportunity. High impact, low friction. That combination is rarer than you'd think — but when you find it, you've found your first move.
- [Why Most AI Pilots Fail in B2B Companies (And What to Do Instead)](https://www.edgandia.com/blog/why-most-ai-pilots-fail-in-b2b): Most B2B companies start their AI journey backwards — picking a tool first and then searching for a use case. Here's why that approach fails and what actually works.

## Optional

- [LinkedIn Profile](https://www.linkedin.com/in/edgandia/): Ed Gandia's professional profile with full work history and additional content.