It starts with you. One dedicated day with your leadership team, then four months with an AI consultant and an AI engineer until your agents are running.
Reading a summary of what AI can do has never once changed how a company operates. A few hours of doing it against your own inbox, your own board prep and your own numbers changes what you ask of everybody else.
Full page, with transcript →A day of training changes how a few people work. Changing how a company runs takes the four months after it. This is the whole path, and it starts with you and your leadership team in one room.
A dedicated day on site, every executive working on their own inbox, CRM and numbers.
$7,500Four months to turn the agents your team named into agents running your work.
One page per agent, and the deliverables agreed before anything is built.
Two hours every week, working the plan with your team.
Four hours a month on the custom integrations your agents need.
Two steps. Start with Step 1, and decide on Step 2 once you have seen your own agents named.
Every one of these ran on the team’s own calendars, inboxes, CRMs and numbers. The photographs are from the rooms. The words are theirs.
Margo McAuley, Executive Vice President and Co-Owner, built a tool that flags when a truck should be sold. About ten minutes, on trucks that cost $700,000 each.
Watch the reel →
Petty cash, REO schedules and a 20-year-old property spreadsheet, turned into working tools before the room emptied.
Watch the reel →
One question to start the day: how can AI take the routine work off our team members, so they spend their time where they make the biggest difference?
See the post on LinkedIn →
The time AI frees up goes to the coaching, culture diagnostics and leadership development that move the needle for their clients.
See the post on LinkedIn →“One of the most engaging and transformative sessions our team has ever had. Nick and KnowledgeNet had our franchise owners and sales leaders applying AI to their businesses before they left the room. Game-changing.”
David LeePresident, Vanguard Cleaning Systems
“I think the biggest factor is what you think you can do, multiply that by 10.”
Brett WilliamsEVP of Operations, Renovia
“It doesn’t feel shady or gimmicky. It’s just truly finding what’s valuable in our company.”
Devon BrewerOwner and CEO, SafeCare
“Nick’s presentation is both thought-provoking and highly practical and useful. He has a gift for talking about the many complexities and existential questions surrounding AI in a very accessible way. I’d put him up there with some of the best speakers we’ve had.”
Heather HaasOwner and CEO, ADVISA
“I spent all day yesterday on the end-of-month work, including payroll, reporting and forecasting, fine-tuning the automations so I can hand them off to my direct report.”
Leslie PhillipsDirector of Operations, ADVISA
“I actually had a sleepless night last night with some of the trends we uncovered in no time at all.”
Brian BloodManaging Partner, GraceBlood
“Just created my first app that I’ve wanted to create for quite some time. Did it in under 30 minutes.”
Kathie Callahan BradyPresident and CEO, FITCI
“I came out today with a handful of skills and automations… running automatically for me and saving me a ton of time.”
Tara DavisVP of Sales & Marketing, S&K Roofing
“I do use AI a lot, but you don’t know what you don’t know.”
Ben DavisPrefabrication Manager, Power Solutions
Seven hours, on site, your company only, up to ten seats. Every executive on their own machine, against their own week, and nobody leaves without something running.
A KnowledgeNet AI engineer with your ops or IT lead. Licenses, connectors, permissions and data checked, so on the day we verify instead of install.
Email, calendar, CRM, financials and files connected. Everybody on their own machine, working their own accounts. Nobody watches a demo of their business being run by somebody else.
Inbox triage, pipeline call prep, board deck assembly, month-end reconciliation. Each executive picks from their own week.
Automations written, saved and put on a schedule. Analysis and planning worked live on your own data. Then an application, or your first agents.
Each executive lists the work they want AI to take off their plate. That list is where Step 2 starts.
Every room ends with at least one thing live and on a schedule. If it does not, we have not finished.
What it can reach and what it can never reach, agreed before we arrive and reviewed with you in the room. It is the first question every room asks, so it is answered first.
Step 2, AI Implementation, is one engagement: $2,500 a month on a four-month commitment. One month to scope the work, then three months building it with your team.
Between the end of the training and the consulting kickoff, your AI consultant turns what each executive named into one page per agent. Then we agree the deliverables for months 2 to 4 with you: which agents get built, in what order, and what each month delivers. Nothing starts until you have signed off on that scope.
For three months, your AI consultant spends two hours a week with your team: progress against the deliverables you agreed in month 1, clearing what is blocked, and working with each agent’s owner to get it running.
Every week ends with one page: agents live, in build and blocked, hours returned, and the decisions we need from you.
Most agents run on the connectors set up during the training. When one needs more, such as a system without a standard connector, a custom API or a data pipeline, your AI engineer builds it: four hours every month for the three months.
Your people own every agent. An agent that lives only in a consultant’s hands leaves when the consultant does, so your ops or IT lead runs them after handover.
| Role | Their part |
|---|---|
| CEO | Sets the order and clears blockers |
| Department heads | Own their agents. Define the job, approve the output. |
| Ops or IT lead | Access and security. Runs the agents after handover. |
| AI Consultant | Two hours every week: works the plan and gets agents running with their owners |
| AI Engineer | Four hours a month: custom integrations, tested and handed over |
The technical day puts your engineers on one agent shipped into production against a real system of record: MCP servers, agent architecture, gates, evals and a rollback they have already performed once. Same day length, same price as Step 1.
An executive who has already changed the way they work does not have to be persuaded, and cannot be sold to. They set the standard for their own department because they have felt what it is worth. That is why this starts with you rather than in a pilot team.
A day is not enough to change a company. It is enough to change the people who can. The four months after it are how the rest of the company follows.
Start with the workshop. Most teams set up a short call to pick the date and the systems; if you already know, reserve the date directly. The four months after it are decided once you have seen your own agents named.
Seven hours, on site, your company only. Up to ten seats. Additional seats, or a second team on the same day, on request.
If nothing is running by the end of the day, we come back at no charge.
Card, bank transfer, Affirm and Klarna accepted.
Month 1 scopes the work. Months 2 to 4 build it with your team, with an AI consultant every week and an AI engineer every month.
A public workshop is Step 1 on its own: a free session in the morning, with an optional hands-on afternoon after it. Come see it before you bring your leadership team.
Every date →No. Infrastructure is put in place in the two hours of engineering before the day, or provided for the day. Your ops or IT lead spends those two hours with a KnowledgeNet AI engineer, three to five days ahead.
Email, calendar, CRM, financials and files, for each person against their own accounts. If you run on something else, say so on the call and we scope it before the day.
They are in the room before you are. Security and access are scoped in writing before we arrive: what the assistant can reach and what it can never reach. That document is reviewed with you on the day.
The people who run the company: you and your leadership team, up to ten. Not a pilot group, and not a mixed room of strangers. Each person works on their own machine against their own week.
At least one automation live and on a schedule per room, and each executive’s next agents named. If nothing is running by the end of the day, we come back at no charge.
No. The workshop stands on its own. Most teams decide on the four months at the end of the day, once they have named the agents they want.
$2,500 a month, on a four-month commitment: $10,000 in all. In month 1 your agents are documented and the deliverables scoped. In months 2 to 4, an AI consultant works with your team two hours every week, and an AI engineer spends four hours a month on custom integrations.
The two weekly hours with your AI consultant, plus time from whoever owns each agent while it is being built.