
How to identify AI opportunities in your client book, scope solutions, price deployments, and sell to your clients. Grounded in frameworks from Dunford, Stark, Enns, Baker, and Quinn.
You don't sell AI by pitching AI. You sell it by recognising problems your clients already have -- and showing them you can solve them. Here are the eight most common signals and what to do with each one.
You don't need to pitch technology. You need to recognise the problem your client already has and match it to a solution.
Signal: You have 50-200 retainer clients and want to add a technology bolt-on to every package
Bolt-on deployment. Fountainhead builds a branded solution for your agency (lead capture, quoting, reviews, booking, customer portals) and you deploy it across your full client book. Each client gets their own instance configured to their business.
Timeline: Days per client. Full book rollout in 4-6 weeks.
"We're adding [lead capture / instant quoting / reviews management] to all client retainers. $500/month addition to your package, live within a week."
Bolt-on: $500/month added to each retainer. Wholesale: $200/month. Margin: $300/client/month. 80 clients = $24K/month new margin.
Signal: Client complains about admin, data entry, repetitive tasks, manual processes eating staff time
Custom build. Bespoke operational platform designed and built for that client's specific workflow. Voice ordering, quoting systems, booking automation, inventory management, data processing.
Timeline: 4-12 weeks (custom build)
"We can automate [specific process]. Based on your staff costs, this would save $X/month. Let me scope it."
Project fee ($15K-$60K) + monthly maintenance ($500-$2,000). Value-priced against labour savings.
Signal: Several clients in the same vertical asking for similar capability (loyalty, reviews, email)
Vertical bolt-on. Fountainhead builds the solution once, customised to the vertical. Then deploy across every client in that vertical. Examples: loyalty platform for hospitality clients, review management for trades clients, email automation for retail clients.
Timeline: 4-6 weeks to build; days per client to deploy
"We've built a [loyalty/reviews/email] system specifically for [industry]. Rolling it out to all our [industry] clients this quarter."
One build fee spread across multiple clients. Monthly per-client revenue. Margins improve with every deployment.
Signal: Trades, services, or consulting clients who quote manually, lose deals to faster competitors
Quote Estimator (bolt-on or custom). AI-powered instant estimates, professional proposals, lead capture. Can be deployed across all trades clients as a standard add-on.
Timeline: 2-3 weeks per client, or mass deploy across trades book
"Your competitors respond in hours. Your clients wait days. This gives instant estimates 24/7."
Project fee + monthly. Value-priced against lost deals from slow quoting.
Signal: Client has few Google reviews, doesn't ask for them, competitors have more
Reviews management (bolt-on). Embedded on their site, pulls Google reviews, drives new ones. Perfect for mass deployment across your full client book.
Timeline: 1 day per client. Full book in 2 weeks.
"You have 12 Google reviews. Your competitor has 180. We're rolling this out to all clients this month."
Monthly fee per client. Low cost, high perceived value. Ideal bolt-on.
Signal: Client mentions app, has specific mobile use case, needs something that doesn't exist as SaaS
Custom build. iOS app, web platform, or operational system built from scratch by an Apple Developer and Shopify Partner.
Timeline: 8-12 weeks (custom build)
"An app doesn't have to cost $200K. Here's what it looks like scoped to your specific use case."
Project fee + App Store maintenance retainer.
You don't need to understand AI to sell it. You need to understand your client's problems. The selling process is the same one Baker, Stark, and Enns teach -- applied to AI deployments.
During regular client meetings, listen for the signals in the opportunity map above. Don't pitch AI -- listen for problems that AI solves.
Three questions that cost nothing and immediately position you as an expert: Why this problem? Why now? Why hasn't it been solved before? The answers tell you whether this is a real opportunity or a tyre-kicker.
Before talking solutions, establish the financial impact. "How much does this problem cost you per year?" or "What's the value of each lead you're not capturing?" The number becomes the pricing anchor.
Bring the client problem to Fountainhead via email or your quarterly strategy call. Together we determine: existing platform that fits, customisation needed, or fully custom build. You receive a wholesale quote and timeline.
Every proposal to your client has three tiers. The middle option is what you want to sell. The top anchors high. The bottom gives a safe entry point. Round numbers. Never break down by hours.
The client isn't buying "a custom platform." They're buying "$X in captured leads per month" or "80% fewer order errors" or "3 hours of staff time saved daily." Frame every conversation around the business outcome.
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These are guide ranges, not fixed prices. Every deployment is priced based on value to the end-client, not hours of work. You set the retail price. Fountainhead charges wholesale. The margin is yours.
Wholesale cost is fixed at scoping. Ranges below reflect deployment complexity, not billing uncertainty.
| Deployment Type | Your Cost (Wholesale) | Suggested Retail | Ongoing (Wholesale) | Monthly (Retail) |
|---|---|---|---|---|
| AI Widget (standard) | $2,000 - $5,000 | $5,000 - $12,000 | $200 - $500/mo | $500 - $1,500/mo |
| Custom AI automation | $10,000 - $30,000 | $20,000 - $60,000 | $500 - $1,500/mo | $1,000 - $3,000/mo |
| Platform deployment (CafeWallet, Voice Barista, etc.) | $5,000 - $15,000 | $10,000 - $30,000 | $300 - $800/mo | $800 - $2,000/mo |
| iOS / mobile app | $20,000 - $50,000 | $40,000 - $100,000 | $500 - $2,000/mo | $1,000 - $4,000/mo |
All prices are indicative and subject to scoping. Custom builds are quoted per project. Fountainhead does not publish fixed pricing -- every engagement is value-priced based on the specific opportunity.
Every partnership starts with a conversation. Apply and I'll walk you through the opportunity map for your specific client book.