A three week program that teaches your existing team to build repeatable AI workflows, small internal tools, and multi-step automation themselves, with a verification step that catches AI mistakes before anything ships. Run privately for your company, tested against the public Operator Standard, so the capability stays with your team when the program ends.
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Sources: McKinsey State of AI survey, 2025. BCG, Where is the Value in AI, 2024.
Most companies have already bought AI. McKinsey’s 2025 State of AI survey found 88 percent of organizations now use AI in at least one business function, yet only 39 percent report any effect on enterprise earnings, and most of those put it below 5 percent. BCG’s research draws the same line: just 26 percent of companies have built the capability to get past proofs of concept and generate real value.
The gap is not the tools, and it is not your people. It is that nobody re-engineered the work. An employee with a chatbot open in a second tab is using AI. An employee who builds the workflow, wires it into your CRM and spreadsheets, and checks the output before it ships is operating it. The difference between those two is the difference your throughput chart is waiting for, and it is teachable.
Documented pipelines a colleague could pick up and run, not one-off prompts that leave with their author. Each recurring deliverable on the team gets a workflow with steps, tools, and quality gates written down.
Working apps for the team’s own bottlenecks: an intake triager, a report generator, a data cleaner. Built with AI assistance by the people who feel the bottleneck, not queued behind IT.
Direct AI agents through whole sequences end to end: gather, draft, format, file, notify. The person moves from doing every step to designing and supervising the run.
Your CRM, spreadsheets, APIs, and automation platforms. Leverage that lives inside your existing systems, not in a separate window nobody reconciles.
Every workflow carries a stated verification step, so AI mistakes get caught before customers, auditors, or the board do. This is the discipline that makes the other four safe to run at speed.
Your people stay the operators. AI multiplies their judgment and their output; it does not replace either. This program trains humans.
We scope it with you, teach your team to build, and certify who passes.
We map your team’s functions and the recurring work you want them able to engineer, then tailor the cohort to it. A short call, no obligation.
A three week program, run privately for your team, part time at 3 to 4 hours per week. Shared Operator Core, then role tracks mixed to your functions, taught by certified senior operators. Every session is your people building, not watching.
A capstone each person builds themselves, practicing on realistic work from their own function, then the same exam our public cohorts sit, graded against the public standard. Each person who passes is Multistaff Certified with a verifiable credential page.
This is not a lunch and learn with a certificate of attendance. The program trains to the Multistaff Operator Standard, the same published rubric our certified operators pass, and the exam can be failed.
Each person runs a current AI toolchain for their function and can justify every tool in it.
Repeatable, documented workflows and agent-assisted pipelines, not improvisation.
They know where models fail in their domain, nothing leaves their hands unchecked, and nothing confidential leaks into a model or a log.
A measured multiple on baseline output, demonstrated with real artifacts, not claimed.
AI multiplies judgment; it cannot supply it. Function seniority stays a prerequisite.
Async first and outcome based, so the leverage is visible to the people it reports to.
The three week program, run privately for your team, with tracks mixed to your functions and capstones each person builds themselves as practice on realistic work. It ends with a team certified to engineer its own workflows and tools, and a credential for each person who passes.
We do not promise a flat multiplier, because honest measurement always finds an uneven picture. What we can put in writing is what your company keeps when the cohort ends: people who can build, not deliverables somebody else made.
Certified and capable
People who engineer their own AI workflows
The skill to ship internal tools on demand
A verification habit on everything that ships
Illustrative examples of the kind of thing teams build in the program, not client engagements. We replace these with named results as cohorts finish.
An operations team lost every Friday assembling the weekly report by hand. In the program they build it themselves: a documented reporting workflow, a small tool that flags the unusual, and an automation with a human review before it ships. The kind of result it is built for: the afternoon becomes about twenty minutes, and any of three people can run it. They built it; they keep it.
A marketing team shipped content only when someone found a spare day. In the program they build a research, draft, and verify pipeline on their own calendar, with a human editor checking every claim before publish. Designed to move occasional output to a steady weekly rhythm with the same people. The pipeline belongs to the marketers who built it.
A support team answered the same twenty questions every week off a stale help center. In the program they build a workflow that mines resolved tickets into verified help articles, a tool that drafts a reply from them, and a hard rule that a human approves every AI-assisted reply. Recurring questions get answered, the rest go out faster, and a human stands behind each. The team owns it and keeps improving it.
You approved the AI spend and you want it to show up in the actual work, not just the tool list. This turns license cost into engineered capability your team uses every day, without adding headcount.
You own a team’s output and you can name the person who quietly figured AI out. This makes that person’s leverage the team’s standard instead of a private advantage, and gives you the verification layer that lets you trust the speed.
Training yourself rather than a team? The Academy runs individual cohorts: see the AI course.
Tell us about the team and we reply within one business day to set up a short meeting. No obligation.