Services
AI Development & Automation
This is custom build work — not a subscription to someone else's chatbot. We build AI tools that do a specific job in your business: qualifying inbound leads, answering calls after hours, drafting estimates, or handling a repetitive internal process. Projects run $4,000 to $15,000 depending on scope, with ongoing support at $650/month.
Most engagements start smaller than people expect. The best first build is usually one narrow, expensive problem.
Is a custom build actually the right answer?
Often it isn't, and we'll tell you. Plenty of what businesses want from AI is already available off the shelf for a fraction of the cost.
| What you want | The right tool |
|---|---|
| Follow up with leads automatically | CRM & Marketing Automation — off-the-shelf, $850/mo |
| Show up in ChatGPT and AI search | AI SEO — a visibility service, not a build |
| Write blog posts faster | Content Marketing — a person with AI tooling |
| Something specific to how your business works | Custom build. This page |
The test is whether an existing product already does it. If one does, buying it is cheaper than building it and we'll point you there.
A custom build makes sense if:
- You have a repetitive process consuming real hours every week
- Your requirements are specific enough that off-the-shelf tools don't fit
- The problem is expensive — missed calls, slow quoting, manual data entry across systems
- You have volume to justify it. Automating something that happens twice a month rarely pays back
Wait if:
- You're under $1M in revenue and the process runs a few hours a week. The payback is too slow.
- You can't describe the process precisely. If you can't write down the steps, it can't be automated yet.
- The underlying process is broken. Automating a bad process just produces bad outcomes faster.
What do we actually build?
| Build | What it does | Typical range |
|---|---|---|
| Lead qualification agent | Engages inbound leads immediately, asks qualifying questions, books or routes | $4,000–$8,000 |
| After-hours voice agent | Answers calls outside business hours, captures details, escalates emergencies | $6,000–$12,000 |
| Website chat assistant | Answers real questions from your actual service and pricing information | $4,000–$7,000 |
| Quote & estimate drafting | Turns intake details into a draft estimate for your review | $6,000–$12,000 |
| Internal process tools | Data movement between systems, document generation, reporting | $5,000–$15,000 |
| Review & response automation | Drafts responses to reviews in your voice for approval | $4,000–$6,000 |
Support is $650/month — monitoring, prompt and logic refinement, and adjustments as your business changes. Optional, but AI tools drift without it.
Why does after-hours call handling come up so often?
Because for most service businesses it's the clearest, most measurable win available.
A plumbing or restoration company gets calls at 11pm. Those calls go to voicemail, and the caller phones the next company on the list. The lost job is worth hundreds or thousands; the voicemail costs nothing to fix.
A voice agent that answers, captures the details, distinguishes an emergency from a routine request, and texts your on-call tech converts calls you're currently donating to competitors. It also feeds your Local Service Ads ranking, since Google factors responsiveness into LSA position.
We'll model the payback before building anything. If your after-hours volume doesn't justify it, we'll say so.
How do we build it?
- Process mapping. We document the actual steps, including the exceptions. This is where most of the value is created, and where most AI projects fail when it's skipped.
- Feasibility and payback. Hours saved or revenue recovered against build cost. If it doesn't pay back inside 12 months, we don't recommend it.
- Scope to the narrowest useful version. The first build should do one thing reliably rather than five things unpredictably.
- Build and test. Against real historical cases from your business, not invented examples.
- Human-in-the-loop by default. Most builds draft or route rather than act unilaterally. You approve before anything reaches a customer, until you're confident enough to loosen it.
- Deploy and monitor. Closely for the first 30 days, because real inputs are always messier than test cases.
- Refine. Ongoing, under the support retainer.
What could go wrong?
Worth stating plainly, because this is a field with more promises than delivery.
AI tools produce wrong answers confidently. That's why customer-facing builds are constrained to your actual documented information, and why we default to human approval on anything consequential.
Automating a broken process makes it worse. If your intake is disorganised, automation scales the disorganisation. We'll fix the process first or decline the build.
Tools drift. Models change, your services change, edge cases accumulate. Something built and abandoned degrades. That's what the support retainer is actually for.
Some builds don't pay back. We model it beforehand and we'd rather lose the project than build something you'll regret in six months.
Which industries is this strongest for?
- Plumbing and restoration — after-hours and emergency call handling, where response speed decides the job
- HVAC — seasonal call surges that outstrip staffing
- Law firms — intake qualification, particularly personal injury where case screening consumes real time
- Med spas — booking, rescheduling, pre-treatment questions
- B2B and SaaS — lead routing and internal process automation
Frequently asked questions
How much does custom AI development cost?
Projects run $4,000 to $15,000 depending on complexity, with ongoing support at $650/month. We'll quote after process mapping, not before — a quote given before understanding the process is a guess.
How is this different from your CRM automation service?
CRM and marketing automation configures existing platforms like GoHighLevel and HubSpot to do standard things well, at $850/month. This is custom development for problems those platforms don't solve. Most businesses need the first, not the second.
How is this different from AI SEO?
AI SEO is about getting your business cited inside AI assistants like ChatGPT — a visibility service. This is building AI tools that run inside your operation. Unrelated work despite the shared word.
How long does a build take?
Two to six weeks depending on scope. Process mapping is usually the longest phase, and rushing it is the most reliable way to build the wrong thing.
Will AI replace someone on my team?
Usually it removes the worst part of someone's job rather than the job. The builds that work best take over repetitive, after-hours or overflow work that nobody wanted to do anyway.
What if it gives a customer wrong information?
Customer-facing builds are constrained to your actual documented services, pricing and policies, and most are set to draft or route rather than respond autonomously. We tighten those constraints before we loosen them.
Do I own what you build?
Yes. You own the build, the prompts, the logic and the data. Third-party API costs — model providers, telephony — are billed to your accounts directly.
Can you work with tools I already have?
Usually. Most builds connect to an existing CRM, phone system or scheduling tool rather than replacing them.
Start with the process, not the technology
Tell us what's eating your week. We'll map it, model the payback, and tell you honestly whether a build is worth it — or whether an off-the-shelf tool does the job for a tenth of the price.
Schedule a consultation · (615) 669-0707
Written by Jared DeValk, founder of Nashville Digital. Last reviewed September 2026.