Custom AI agents that do real work in your business.
We build AI agents, MCP tools, and workflow automation into the systems you already run. They qualify the 8 PM lead, book the job, and write it into your CRM while your team does the actual work. Then we stay on and keep them running.
- Custom-built agents, not no-code duct tape.
- Works inside your CRM, calendar, phones, and billing.
- We keep running it after launch. No handoff-and-disappear.
Where agents save the most hours first
Lead intake and qualification. Scheduling and dispatch. Follow-ups that actually go out. The numbers that move themselves from one system to the other instead of through somebody’s keyboard. The rule: if a task is repetitive and lives across two or more systems, an agent can probably own it.
For teams re-typing the same job into three systems and chasing leads after hours.
One person is the integration layer.
Every job gets re-typed into three systems. Every lead waits on whoever is least busy. The glue-work grows with the business.
Agents take the glue-work.
Each agent owns one workflow — intake, dispatch, follow-up — wired into the systems you already run through MCP tools.
Rules you set. Limits they keep.
Every agent runs inside boundaries you control, with a human pulled in the moment one is actually needed.
First agent live in 2–6 weeks
AI agents, MCP tools, and workflow automation
Agents built around how your shop actually works. They watch what happened (a call, a form, an invoice), decide what’s next, and do it: update the CRM, send the text, book the slot, flag the one that needs a human. MCP tools connect them to the systems you already run.
Works with the tools you already use
Your CRM, phone system, calendar, spreadsheets, and accounting stack: connected through their own APIs. We replace the manual glue between tools, not the tools your team already knows. Nobody migrates anything.
Why this beats no-code tools and big agencies
No-code platforms hand you a subscription and the upkeep. Big agencies hand you a deck and a junior team. We ship a working system, watch it run, and fix problems before you see them, because automation that works is software, and software needs an owner.
First working agent ships in 2–6 weeks — one workflow you can watch working.
Barefoot Towing
Entirely custom roadside assistance platform that revolutionized local emergency response with real-time GPS tracking, smart dispatch, and customer journey mapping.
Kutta
AI-powered data visualization platform transforming how businesses interact with their information.
Voice Call Agent
An AI phone agent that answers every call, qualifies the lead, and books the job — 24/7.
Map the workflow
One working session to find the process bleeding the most hours or leads. You get a real scope and a real number before any code.
Ship the agent
The first working agent ships in 2–6 weeks, depending on what it connects to. One workflow first, so you can watch it work before you bet more on it.
Keep it running, then expand
We watch it, tune it, and keep it running as the shop grows. Once the first agent earns its keep, the next workflow is already mapped.
What can AI agents actually do for a small business?
Real, shipping use cases: answer and qualify inbound leads, triage support requests, schedule and dispatch jobs, chase invoices, move data between your CRM, calendar, and accounting tools, and draft follow-ups for human approval. The rule: if a task is repetitive and lives across two or more systems, an agent can probably own it.
How much does a custom AI agent cost?
Published 2026 guides put simple single-workflow agents at roughly $5K–$30K and complex multi-system builds at $50K–$150K+; we scope to the workflow, not the buzzword. Most engagements start with one high-leverage process, ship in weeks, and expand from there. Running an agent in production also carries a monthly operating cost (model usage, monitoring, tuning), which we quote up front as part of the operate phase.
Will this work with the systems we already use?
That’s the entire point. We build agents and MCP tools that connect to your existing CRM, phone system, calendar, spreadsheets, and accounting stack via their APIs. We don’t make you migrate platforms to get automation.
What’s the difference between an AI agent and tools like Zapier or RPA?
Zapier-style automation and RPA follow fixed rules: same trigger, same steps, every time. An AI agent can read context, make judgment calls, and handle the messy 20%: a garbled voicemail, an ambiguous email, a schedule conflict. Most real systems we build combine both: deterministic plumbing plus agent judgment where it pays.
How long does it take to get a working agent?
The first working agent ships in 2–6 weeks depending on what it connects to. We deliberately start narrow (one workflow you can watch working), then expand once it’s proving itself in your operation.
What is MCP and why does it matter for my business?
MCP (Model Context Protocol) is the open standard that lets AI models securely use your business systems as tools: read your calendar, query your database, update your CRM. Building on MCP means your agents aren’t locked to one vendor’s model and your integrations keep working as the AI layer improves.
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60-minute call · weekdays 9 AM – 4 PM ET