We turn the manuals, procedures, and recorded sessions your firm already has into AI tutors. Each tutor checks what a person already knows, teaches only what is missing, and then gives them a harder case. Staff finish when they can handle the work, not when they reach the last slide.
The knowledge is there: in procedure binders, onboarding decks, recorded walkthroughs, and the head of the person who has done the job for years. What is missing is a way to teach it to each new person at the pace they need, and to check that it stuck.
A document cannot tell whether a reader understood it. A one-hour video cannot slow down for a new hire or speed up for an experienced one. So new staff ask the same questions of the same busy experts, and reach full speed slowly.
In a Gallup study, only 12 percent of employees strongly agreed that their organization does a great job of onboarding new employees.
Gallup, Why the Onboarding Experience Is Key for Retention (2019).
The same four stages for every module, so each person is taught from where they actually are.
The tutor starts with questions and short cases drawn from your own past work, not with a lecture. Answers show what the person already knows.
Your expert sets what each level must be able to do.The tutor explains only the gaps, using your procedures and your examples, and points to the source document for each answer.
Every explanation traces to a document your firm approved.When a person gets a case right, the next one is harder: an exception, a missing input, a client who pushes back. The tutor asks them to explain their reasoning before it gives its own.
Your expert writes or approves every case and its answer.Managers see who has reached each level, where people struggle, and which questions the material does not yet answer. Those questions go to your experts, and their answers improve the module.
Your managers decide when a person is ready for live work.The research is consistent on one point: AI helps people learn when it is built to guide and question them, and much less when it simply hands over answers. That is why every tutor we build asks before it tells, and why your experts set the cases it uses.
A second finding matters for any firm that depends on a few experienced people. When AI carries the practices of the best performers to newer staff, the newest staff gain the most.
In a randomized study, students using a purpose-built AI tutor learned more than twice as much as students in a highly rated active-learning class, in less time.
Kestin and colleagues, AI tutoring outperforms in-class active learning, Scientific Reports (2025).
In a study of more than 5,000 support agents, an AI assistant raised issues resolved per hour by about 14 percent on average, and by about 34 percent for the newest and least experienced agents.
Brynjolfsson, Li, and Raymond, Generative AI at Work, National Bureau of Economic Research.
Start small. Each step produces something your staff can use on its own.
Find out which of your existing material is worth turning into a tutor first.
From $3,500Fixed fee. 1 to 2 weeks. Credited in full toward a build that starts within 60 days.
One procedure or one part of a role, built and proven with your own staff.
From $7,500Fixed fee. 3 to 5 weeks.
Everything a new person in one role needs, from the first day to unassisted work.
Quoted after a short callFixed fee. 6 to 10 weeks, depending on the role.
Training that changes when your procedures change.
Quoted after a short callMonthly. Twelve-month term. Can be folded into a Fractional AI Lead plan.
When the knowledge lives with one experienced person rather than in documents, start with Key-Person Knowledge Capture. The knowledge base it produces becomes the source for the training.
Tell us about it and the material you already have. We will suggest the one module that would prove the value fastest.