Episode Details

Field sales creates useful intelligence all day long.

Most CRM systems capture almost none of it.

Will Hamblin discovered that firsthand after leaving a twelve-year career in education and moving into door-to-door card-payment sales. He could visit a business, learn who handled its payments, discover when the current contract expired, hear exactly why the owner was not interested—and then watch most of that information disappear into a notebook, spreadsheet, or memory.

So he started building FieldSpot.ai.

In this episode of the AI Visibility Podcast, Jason T Wade talks with Will about designing an AI-powered sales platform around what actually happens in the field.

FieldSpot combines territory mapping, route planning, renewal intelligence, competitor tracking, voice notes, business-card capture, and AI-assisted outreach. The objective is not simply to store contacts. It is to preserve the context surrounding every real-world sales interaction and make that information useful later.

A central idea in the conversation is that a failed visit may be one of the most valuable interactions in the sales process.

A business owner who says “not interested” may also tell you which competitor they use, when their agreement expires, who controls the decision, and exactly when to come back. Captured properly, that rejection becomes future sales intelligence.

Will and Jason also discuss the connection between AI and data quality. AI can only personalize outreach based on what it knows. Field notes, territory history, competitor information, renewal timing, and previous conversations can give an AI system far more useful context than a conventional contact record.

They also examine a counterintuitive possibility: AI may increase the value of human, face-to-face selling. As inboxes and digital channels become crowded with automated messages, an actual person walking through the door may become more distinctive.

Will also explains how he went from having no traditional software-development background to vibe coding the first FieldSpot prototype, validating the concept, bringing experienced developers into the company, and expanding beyond the UK payments sector where the idea started.

• Why conventional CRMs miss field-sales intelligence
• Why a rejection can become a future sales opportunity
• Competitor and renewal-date tracking
• Territory intelligence and route planning
• Capturing information without slowing down the salesperson
• Voice notes, business cards, and mobile data collection
• Using field context to improve AI-generated outreach
• Why AI output is constrained by the data underneath it
• Vibe coding a working software prototype
• Building a technology startup as a nontechnical founder
• Recruiting technical partners through equity
• The limits of automated outbound sales
• Why physical sales interactions may become more valuable
• Taking FieldSpot into new industries and markets
• The future of AI-assisted field sales

Will Hamblin is the founder of FieldSpot.ai, an AI-powered field-sales CRM and intelligence platform.

Before building FieldSpot, Will spent twelve years in education and became a vice principal. He later entered field sales, selling card-payment services directly to businesses.

Will used AI tools and vibe coding to build the first FieldSpot prototype, then brought experienced technical partners into the company to develop the platform into a production product.

FieldSpot is built around territory intelligence, renewal timing, competitor tracking, mapping, route planning, mobile data capture, and AI-assisted sales workflows.

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

FieldSpot.a