AI receptionist and missed-call recovery
Answer common questions, capture job details, send booking links, and follow up when the team cannot pick up. See the AI receptionist service.
AI consulting and automation, Layton, Utah
AI consulting for Utah businesses that need working systems, not another strategy deck.
Purpose Built AI identifies the expensive bottleneck, builds the solution, tests it, and stays accountable after launch. That may be an AI receptionist, a custom internal tool, a faster website, or a local growth system. The work starts with the business problem, not the technology.
Based in Layton, UtahReal client Kameo HealthPublished product Scout for SellersFixed scope before build
What we build
Four ways practical AI can remove friction from a Utah business
Custom software and workflow automation
Replace duplicated data entry, spreadsheet handoffs, and disconnected tools with a system built around the workflow you actually run.
Websites and local growth systems
Build a fast, mobile-first sales path with clear calls to action, real proof, local search foundations, booking, and measurable lead capture.
AI opportunity audit
Map the current operation, rank opportunities by business impact, and avoid paying for a build that does not solve a verified problem. The $497 audit is credited toward a build.
Shipped, not hypothetical
Proof from client work and public products
01
Kameo Health Wellness & Beauty
Rebuilt and launched a modern medical and aesthetics website with direct online scheduling, a live Google review count, Search Console setup, local visibility work, and ongoing technical support.
Visit the live client site02
The Pool Tile Blasters
Full website rebuild for a 5.0-rated Arizona pool tile cleaning company, including a mobile-first sales path, tap-to-call actions, and local search structure across an 11-city service area.
Visit the live client site03
Scout for Sellers
A market-research extension for online sellers, reviewed and published through the Chrome Web Store.
See the productHow the engagement works
Find the bottleneck. Build the fix. Verify the outcome.
1. Diagnose
Start with the missed calls, slow handoffs, weak search path, or repetitive work that is costing time or revenue.
2. Scope
Define the exact workflow, systems involved, data boundary, success measure, and fixed price before the build starts.
3. Build and verify
Test the real path end to end, including the forms, messages, booking flow, redirects, and monitoring that keep it reliable.
4. Launch and care
Hand off the system in plain English, then keep it current through a care plan when ongoing monitoring and optimization matter.
Utah service area
Local enough to understand the market, built to serve the whole state
Purpose Built AI is based in Layton and works with Utah businesses in person when useful and remotely when faster. One substantive Utah page serves the state; we do not publish thin copy-and-paste city pages.
LaytonOgdenFarmingtonBountifulSalt Lake CitySandyDraperPark CityProvoUtah statewide
Frequently asked
Questions Utah owners ask before an AI build
What does an AI consultant do for a small business?
We find the operational bottleneck first, then scope a practical system such as missed-call recovery, booking automation, a website assistant, custom software, or a local growth system. Every project receives a fixed quote before work begins.
Do you work only with businesses in Layton?
No. Purpose Built AI is based in Layton and serves businesses across Utah, with remote delivery available throughout the United States.
How much does AI consulting cost?
The AI Opportunity Audit is $497 and is credited toward a build. Published website packages start at $1,500, the Local Domination setup is $2,997, and care plans start at $150 per month. Custom work receives a fixed written quote.
Can you work with the software we already use?
Yes. The first step is to map the current workflow and tools. We recommend a new system only when it solves a verified need that the existing stack does not.
How do you handle sensitive business or customer data?
Data requirements are scoped before implementation. The architecture depends on the information involved, the systems being connected, and any industry obligations. We do not make blanket compliance claims.
Start with the real problem