Episode Details

Most CRM software assumes selling happens from a desk.

Will Hamblin built FieldSpot.ai because his sales job did not.

After twelve years in education, including time as a vice principal, Will moved into door-to-door card-payment sales. In the field, he saw the same problem repeatedly: salespeople were learning valuable things every day—who a business used, when its contract renewed, who made the decision, why they said no—but most of that intelligence ended up in notebooks, spreadsheets, or someone’s memory.

In this episode of the AI Visibility Podcast, Jason T Wade talks with Will about turning those fragmented real-world signals into structured data that AI can actually use.

FieldSpot.ai combines territory intelligence, mapping, route planning, renewal tracking, competitor data, voice notes, business-card capture, and AI-assisted outreach into a CRM designed specifically around field sales.

A major idea in the conversation is deceptively simple: a “no” is still data.

A prospect who rejects you today may tell you exactly when to return, which competitor you need to beat, and what will matter when the contract comes up for renewal. The problem is not collecting more leads. It is preserving the context surrounding every interaction and making it available at the right moment.

Will and Jason also discuss why AI quality depends on data quality. Generic data produces generic automation. But when AI has access to actual notes from the field, account history, timing, competitor information, and local context, outreach can become significantly more relevant.

They also explore a potential irony of the AI era: as digital channels fill with automated outreach, showing up in person may become more valuable, not less.

Will also explains how he built FieldSpot’s first prototype without being a developer, used AI and vibe coding to prove the concept, recruited experienced technical partners, and started taking the product beyond its original UK payments market.

Topics include:

• Why traditional CRMs break down in field sales
• Capturing intelligence from unsuccessful sales visits
• Renewal dates as a sales signal
• Competitor tracking in the real world
• Territory mapping and route optimization
• Voice notes and frictionless data capture
• Turning field notes into personalized AI outreach
• Why AI is only as useful as the data underneath it
• Vibe coding a startup prototype without being a developer
• Recruiting technical partners through equity
• Why face-to-face sales could become more valuable in an AI-saturated market
• Designing software around how salespeople actually work
• Expanding a field-sales platform internationally
• Where AI-powered field sales goes next

Will Hamblin is the founder of FieldSpot.ai, an AI-powered CRM and field-sales intelligence platform designed for teams that sell in person.

Before starting FieldSpot, Will spent twelve years in education and became a vice principal before moving into field sales, where he sold card-payment services directly to businesses.

That experience exposed how much useful sales intelligence was being lost between visits. Will built the first FieldSpot prototype using AI tools and vibe coding, then brought in experienced technical partners to develop the platform further.

FieldSpot focuses on territory intelligence, renewal tracking, competitor data, route planning, mobile data capture, and AI-assisted sales workflows.

Jason T Wade is an AI Visibility Architect and founder of NinjaAI and BackTier.

Jason is also the host of the AI Visibility Podcast, where he examines how AI search, recommendation systems, autonomous agents, and emerging interfaces