Operational AI that actually pays back.
Most business owners have already tried AI tools and seen nothing move in revenue, hours, or error rates. The problem usually isn't the AI.
Why previous attempts stalled
You bought the tools. Your team tried the prompts. Nothing changed in revenue, hours, or error rates. The problem usually isn't the AI — it's that AI was dropped on top of messy data, undefined processes, and no ownership. We build the operating layer first, so the AI compounds instead of stalling.
Three things we build
In sequence — each rung earns the next.
1. AI Readiness
Data and process prerequisites first: CRM hygiene, defined workflows, routing logic, and ownership rules. AI built on clean, connected data compounds — AI built on mess stalls.
2. AI Implementation
Agents, copilots, and workflows wired into the CRM and operations your team already runs on. Human in the loop on every decision an AI touches. Not chatbot theater.
3. AI Enablement
Team training, SOPs, and guardrails so the systems get used after we leave. Adoption is part of the build.
AI Enablement Program — fixed scope, from $7,500. For teams that want to run AI themselves: training sessions for your team, playbooks and SOPs, governance guardrails (human-in-the-loop rules, data handling practices), and a prioritized build roadmap you execute internally. Every program ends with the roadmap — and we're here if you want help executing it.
Start here: AI Adoption Audit
AI Adoption Audit
A scoped diagnostic of where AI actually pays back in your workflows — with hour and dollar estimates, an honest account of why previous attempts didn't move the needle, identification of data and process prerequisites that are missing, and a prioritized build roadmap with fixed pricing.
Proof: BH Capital Funding
AI underwriting engine — BH Capital Funding
Underwriting review time went from 30 minutes to approximately 5 minutes per file. Approvals moved from days to 2–3 hours. Intake, parse, score, route, package, submit, and track — wired end-to-end.
Read case →Daniel Speiss co-founded BH Capital Funding. This case reflects work completed during that engagement. Metrics are operator-reported.
What changes for you
- Repetitive, rules-based work runs automatically — your team handles exceptions.
- Follow-up and routing happen without manual intervention, with humans on the decisions that matter.
- Internal knowledge is accessible in seconds, not buried in files and inboxes.
- AI adoption sticks because training and guardrails are part of the build.
When you need this
- You've tried AI tools and seen nothing move in revenue, hours, or error rates.
- A repetitive, rules-based process is eating your team's time.
- AI gets talked about in your business but never gets built into the operation.
- You want AI applied to operations, not a chatbot on a website.
Pricing for this service
AI Operations
Scoped by the number and complexity of workflows automated and the data-readiness work required. Managed AI operations available on retainer. Every engagement starts with a scoping call and a written plan.
Larger builds and multi-system implementations are quoted at $75,000+, scoped in milestones. Start with the AI Adoption Audit from $3,500 — credited toward a build that starts within 60 days.
Ready to scope it?
Book a scoping call and we'll map exactly where AI pays back in your operation, in what order, and what it costs.
Need this built? Book a Scoping Call.
Want it built and then run for you? See the managed retainer →