Three ways in.
An audit that maps where AI actually pays, a sprint that builds the highest-payback workflow, and managed services that keeps it healthy. Fixed prices, quoted in writing before we start. Not sure whether your problem needs an agent, an automation, or an integration? Sort the three in nine minutes.
The three services, side by side.
Price, timeline, and what each one delivers. The whole offer, one row each. Jump to any of the three below.
| Service | Price | Timeline | What it delivers |
|---|---|---|---|
| AI Readiness Audit | $3,500–$8,500 | 2 to 4 weeks | A workflow map and a phased plan you own. The handful of places AI actually pays. |
| AI Implementation Sprint | $12,000–$45,000 | 4 to 12 weeks | The highest-payback workflow built, tested in your operation, and handed to your team. |
| Managed Services | Monthly · no lock-in | Ongoing | Monitoring, maintenance, and new automations as the work changes. |
AI Readiness Audit.
We map your workflows, find where AI actually pays, and hand you a plan you own, whether or not you build it with us.
What it is
Two to four weeks inside your real operation. Not a survey. Not a maturity model. Not a slide deck about the future of work.
We start where the work actually happens. Where the time goes, where the money leaks, where a person is doing work a machine should be doing. We walk the workflows with the people who run them and put a cost on each one, so the plan rests on your numbers instead of someone’s framework.
What comes out is a phased plan you own outright. Build it with us, build it with another firm, build it in-house. The plan is yours either way, priced and sequenced so you can act on it without us in the room.
And sometimes the right call is to wait a quarter. When the numbers say so, the audit says so, in writing. You will not be talked into building something your own data does not support. What the audit contains — and deliberately doesn’t — is spelled out in the audit guide.
Who it’s for
Businesses of 5 to 100 people, $1M to $50M in revenue, past the point where the owner can hold everything in their head, and not yet big enough for a Fortune 500 budget.
An example build
Intake agent: qualifies the request before a person touches it. Reads the incoming email or form, asks for the details that are missing, and routes the job to the right person with a clean summary attached. The win: every request arrives qualified, summarized, and routed before a person reads it.
Illustrative builds, not client claims. What we’d actually scope is whatever your free assessment shows is worth automating first. If the audit finds something worth building, the Implementation Sprint builds it.
- A workflow map of your real operations
- The handful of places AI actually pays
- A phased plan you own outright
- A straight read on whether to build at all
Questions about the audit
01What is the AI Readiness Audit?+
Two to four weeks inside your real operation. We map your workflows, put a cost on each one, and hand you a phased plan you own, whether or not you build it with us.
02How much does the AI Readiness Audit cost?+
$3,500–$8,500, quoted as a fixed price in writing before work begins. The exact number depends on the size and complexity of your operation.
03How long does the audit take?+
2 to 4 weeks.
04What do I leave with?+
A workflow map of your real operations, the handful of places AI actually pays, a phased plan you own outright, and a straight read on whether to build at all.
05What if the audit says don’t build?+
Then it says so, in writing. Sometimes the right call is to wait a quarter. You will not be talked into a build your own numbers do not support. To gauge readiness before spending anything, run the 20-point readiness checklist yourself.
AI Implementation Sprint.
Agents, automations, and integrations, all tested inside your real operation, with your team trained to run them.
What it is
Small, working, tested. You watch it run and earn your trust before it touches anything that matters.
A sprint takes the workflows worth automating and builds the thing that fixes them. Agents that draft the repetitive decisions and route the judgment calls back to a person. Automations between the systems you already run. Integrations that pull your data into one source of truth instead of five systems that disagree.
One team runs it from kickoff to handoff. The advisor who scopes your sprint is the one who builds it; no junior team quietly takes over after you sign. Each workflow lands in about 90 days, because a project without a deadline is a project that dies.
And before any of it starts, you get the exact price in writing. It does not move after we start. Handoff means your team trained to run all of it, and ownership of all of it.
Who it’s for
Teams of 5 to 100 people, $1M to $50M in revenue, with workflows worth automating and named. Most arrive by way of the audit. Some already know exactly what they want built and skip straight to scoping.
Example builds
An intake agent, invoice follow-up, an ops data sync. See a concrete before/after for each in what a build looks like.
Illustrative builds, not client claims. For a sprint we shipped, 14 agents across 7 departments, see the MARCUS case.
- Working agents built to your workflow
- Automations across your existing stack
- Integrations into one source of truth
- Your team trained to run all of it
Questions about the sprint
01What is the AI Implementation Sprint?+
A fixed-scope build of the highest-payback workflow your audit surfaced, typically 4 to 12 weeks, about 90 days per workflow.
02How much does an Implementation Sprint cost?+
$12,000–$45,000, quoted as a fixed price in writing before any work begins. For how that compares to the wider market, see What an AI Consultant Costs in 2026.
03How long does a sprint take?+
4 to 12 weeks, depending on scope.
04Do I need an audit first?+
Usually. Most sprints start with the AI Readiness Audit so the build rests on your numbers instead of a guess.
05What does a finished sprint look like?+
A working system your team actually uses. The closest published example is MARCUS: 14 AI agents across 7 departments we built for B:Side Capital, a regulated lender.
Managed Services.
We keep what we built healthy, watch what changes, and evolve the systems as your business does. Optional, never required.
What it is
Models shift. Vendors change their APIs and their prices. A workflow that ran clean in March can drift by September. Managed Services means someone is watching for that before it costs you anything: monitoring on every deployed system, maintenance when the ground moves underneath it, and new automations as the work itself changes.
A retainer should survive on usefulness, not paperwork. If we are not earning the fee in a given month, you should be able to act on that immediately. So you can.
And because you own everything we build, leaving is clean. No license to surrender, no hostage data, no exit fee. The month it stops paying is the month you stop paying.
Who it’s for
You could put a person on this. At 5 to 100 employees, most businesses should not. The retainer buys the watching without the headcount, and your team stays trained to run everything either way.
An example
Operations data sync: a build like this touches three vendors’ software, and any of the three can change without asking you first. Managed Services is the watch on all of it: the same job keeps showing the same status everywhere, even as the tools underneath it move.
We manage what we build, so the road here runs through the audit and the sprint. For a system we built and now run, see the MARCUS case.
- Monitoring on every deployed system
- Maintenance as models and vendors shift
- New automations as the work changes
- No lock-in: leave whenever it stops paying
Questions about managed services
01What are Managed Services?+
Ongoing monitoring and maintenance for what we build, keeping the system healthy after handoff. A monthly retainer with no lock-in.
02How much do Managed Services cost?+
A monthly retainer with no lock-in; the amount depends on what is running. The audit and sprint that lead here run $3,500–$8,500 and $12,000–$45,000 respectively.
03Is Managed Services required?+
No. It is optional, never required. You can run what we build yourself. The hire-or-engage math behind that choice is in AI Consultant vs. In-House Hire.
04Do you only manage what you built?+
The road here runs through the audit and the sprint, so yes. We manage systems we built and understand.
What a build looks like.
One concrete before/after per category. Illustrative, not client claims. Read these and you should be able to name the first thing you’d want built.
Intake agent
Before A new lead or application lands in an inbox and waits while someone re-keys it, runs the checks, and decides where it goes.
After The agent reads every submission, runs the checks, and drafts the reply, then hands a person finished work to approve, send back, or escalate.
Invoice follow-up
Before Overdue invoices slip because chasing them is nobody’s full-time job, and the awkward ones get put off.
After The automation tracks what’s outstanding, drafts each reminder in your voice on schedule, and flags the judgment calls for a person to send.
Ops data sync
Before The same job shows a different status in your CRM, your billing tool, and your project software, so no number gets trusted.
After One integration keeps them in sync, so every system shows the same source of truth and your team stops reconciling by hand.
Illustrative builds, not client claims. Patterns, not specific clients. For one we actually shipped, 14 AI agents across 7 departments for a regulated lender, see the MARCUS teardown.
Every path here starts with the same free 30-minute assessment. A senior advisor walks your workflows and tells you what is worth automating, and what is not. We reply within 24 hours.
A fixed price, quoted in writing before we start, and a straight answer within 24 hours.
— Christopher Myers, Founder