The AI Business Labs Summit is a five-day working engagement that replaces tool evaluation with a decision. We map your entire company, establish control over your data, and build three to six working AI agents on your real workflows — supervised by your own employees, not by us. You leave with an operational map, working systems, and a prioritized answer to the only question that matters: which work in your business should be automated, and which should not.
Almost every company we talk to is somewhere in the same loop: a dozen browser tabs open, comparing one AI platform against another, trying to work out which one actually fits the business. Six months and several invoices later, nobody can point to the process that got measurably faster.
It isn't a discipline problem. It's a sequencing problem. Cross-referencing tools is a reasonable thing to do — it's just impossible to do well before anyone has mapped where the work actually happens in your company. Without that map, every tool looks plausible and none of them can be evaluated, so spending continues on instinct rather than evidence.
That's how AI budgets get spent almost aimlessly: not on bad tools, but on good tools bought in the wrong order. And it's why the payback question stays open indefinitely — you can't measure a return against a baseline nobody established.
The Summit closes that loop in a week. Not by recommending another tool, but by producing the map that makes the tool question answerable — and then building the first working systems on top of it while your team watches how it's done.
Every Summit produces two things that outlast the week: a documented AI strategy built for your business, and the AI Conductor — the operational map of your company and the decision layer built on top of it.
Guided walkthrough of mapping a company's AI strategy · 4 min · Turn sound on for the narration
There is no such thing as a generic AI strategy. A logistics operation and a professional services firm can buy the identical tool and get opposite results, because the work is shaped differently, the data sits in different places, and the compliance obligations aren't comparable. Your industry, your workflows, your team's actual capacity, and the regulations you answer to all change which automation is worth building and which is a liability. That is exactly what the AI Conductor maps for you — a strategy derived from your operation rather than borrowed from someone else's.
The Conductor holds what the week uncovered: your processes, the handoffs between them, where data enters and where it moves, and which tasks are candidates for automation ranked against what they're actually costing you today. It's the artifact that turns "we should look into AI" into a sequenced plan with an order of operations.
It's also what makes the tool question finally answerable. Once the Conductor exists, evaluating a platform stops being a comparison of feature lists and becomes a check against your own map: does this solve a mapped bottleneck, at a cost proportional to what that bottleneck is costing us? Most of the time, the answer is clear within minutes.
Both stay yours. The Conductor is designed to be extended by your team as your operation changes, so the map and the strategy built on it don't go stale the week after we leave.
Five days, your systems, your team in the room. Every day ends with something that exists — not a deck, not a follow-up item.
| Day | What Happens | What Exists By End of Day |
|---|---|---|
| Day 1 Assess & Map |
We complete the AI Readiness Assessment, then run mapping sessions department by department. Your operations leads walk us through the work as it actually happens — every process, every handoff, every workaround nobody documented. We quantify where time and revenue are going. | A single operational map of your company, replacing departmental assumptions. A first pass at which processes are automation candidates and which are not. |
| Day 2 Control the Data |
We inventory where your data lives, which systems hold what, who has access, and how information moves between them. Security and compliance requirements are established here — sized to your industry and your customers' obligations, not to a generic checklist. | A data and access map, documented security requirements, and the guardrails every agent built later in the week has to satisfy. |
| Day 3 First Build Lab |
Building starts. We take the highest-value workflow from the map and build it end to end alongside your team — connecting real data, defining the decision logic, and setting the escalation rules for when the work should go to a person instead. | Your first working agent, running on real systems. Your team has watched every decision that went into it. |
| Day 4 Second Build Lab |
We build the remaining workflows and turn to supervision: how an employee sees what an agent is doing, how they intervene, and how they extend it later. Your team leads more of the build on this day than the last — that transfer is the point. | The full set of 3–6 working agents, each with a named owner on your team who understands how to supervise it. |
| Day 5 Strategy & Handoff |
We assemble the AI Conductor from everything the week produced, then build the roadmap: what to automate next, in what order, and what each one is worth. We review model and logic-layer routing so your ongoing cost scales with value rather than usage. | The AI Conductor, your prioritized AI strategy and "build next" shortlist, and the take-home kit of every template built. |
Exact sequencing flexes to your operation — a company with heavy compliance obligations may spend more of the week on Day 2's work. The seven-day extended format exists for that reason.
The Summit isn't a separate methodology. It's our standard method — Map, Control, Leverage, Strategy — compressed into a week and run alongside your team so they learn it by doing it, not by reading about it afterward.
We start where every engagement starts: every process, every handoff, every place work happens. Your team sits in this with us, because the people doing the work know where it actually breaks. By the end of the first day, the operation exists as a single map instead of a set of departmental assumptions — and the places where automation would create real value are separated from the places it would only add cost.
Before anything gets automated, we establish where your data lives, who touches it, and how it moves between systems. Cybersecurity and SOC 2 measures are designed here, sized to your company and your customers' requirements. This is the step that keeps the agents you build from becoming a compliance problem the moment they touch customer or regulated data.
Now we build. Working agents, connected to your real data, running on your actual workflows — scoped to what the map revealed rather than to what a platform happens to offer. Each one is built so an employee can supervise it: clear inputs, visible decisions, defined escalation when the work falls outside what the agent should handle on its own. Your team builds these with our engineers, which is the point.
The week closes with the roadmap: which processes to automate next, in what order, and what each one is worth. Tasks are matched to the right-sized model or logic layer, so your cost scales with the value delivered rather than with usage. You leave able to run and extend what was built on the team you already have — no new headcount required to keep it alive.
| Deliverable | What It Does For You |
|---|---|
| AI Readiness Assessment | An honest read on where your operation, data, and team actually stand — completed before the build labs begin. |
| A Clear AI Strategy | A documented strategy built for your industry, workflows, and compliance obligations — not a generic framework applied to your business. |
| The AI Conductor | The full operational map of your company, with automation candidates ranked by what they cost you today. |
| 3–6 Working Agents | Live workflows on your real systems, built to be supervised by your own employees. |
| Take-Home Kit | Every skill, playbook, and agent template built during the week — yours to reuse and extend. |
| Prioritized AI Roadmap | An org-wide "build next" shortlist in sequence, so the work continues after we leave. |
| 30-Day Support | Post-summit support plus one follow-up call, while your team is running the systems for the first time. |
The difference is immersion and where your team sits — not what gets built or what you take home.
$21,000
Five-day working format, delivered remotely.
$75,000
Senior engineers on-site, full immersion. Eight-seat minimum.
A seven-day extended Summit is available and priced per engagement. Both formats can lead into an ongoing retainer if you want us building alongside your team past the first week.
Both, deliberately. Pure training leaves your team with concepts and nothing running. Pure consulting leaves you with systems your team didn't build and doesn't fully understand. The Summit runs our four-step method on your real operation with your people in the room, so what gets built is production-ready and your team knows why every decision was made. The training is the consulting.
Usually not entirely. Once the AI Conductor exists, we can see which of your existing tools map to a real bottleneck and which are paying for capability you don't need. Some tools get kept and connected properly for the first time. Some get consolidated. Some get cut. The point of the map is that these become evidence-based decisions instead of guesses — including the decision to keep something you already own.
The people who actually do the work, plus whoever can make decisions about process. Operations leads and department owners are essential — they know where the handoffs break. A technical stakeholder helps for the data and integration work, but you do not need a team of engineers. The agents are built to be supervised by the employees who own the workflow, so those employees are the ones who should learn them.
That's what the supervision design and the take-home kit are for. Each agent has clear inputs, visible decision logic, and defined escalation paths, so an employee can tell what it's doing and step in when something falls outside its scope. You also get the templates and playbooks used to build them. The 30-day support window covers the period when your team is running the systems independently for the first time.
Same method, different shape. A full AI Business Automation engagement runs over months and delivers a complete automation build across your operation. The Summit compresses the method into a week, builds a first set of working systems, and transfers the capability to your team. Many clients use the Summit to establish the map and prove the approach, then move into a longer build from there.
That's expected, and it's what the first step handles. Most clients come to us knowing something is wrong before they can name it. The mapping work exists specifically to find where your time and revenue are actually going — you don't need to arrive with a shortlist. Bring the people who do the work and access to the systems they use.
One conversation is enough to tell whether the Summit fits your operation, and which format makes sense for your team.
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