The tools are already in the building. The hours are still going out the door. Through AI productivity training, your team rebuilds the way its work actually runs and puts a number on what it gets back.
Operations, product and business professionals who want structured, measurable AI productivity in their daily work, with team workflows redesigned around it — not engineers writing code.
Whoever owns a process end to end and gets asked why it still takes as long as it did last year.
Specs, backlog and stakeholder updates fill most of the week, and most of that is drafting.
Documents, meetings and decisions, where AI is already used daily and never measured.
Most AI training teaches tools. This AI productivity program rebuilds the work around them: first your own role, then the work everybody shares, then a process the whole team runs.
Turning a rough idea into something a team can build from, in whatever document your role uses for it.
Learning objectiveWrite specs in a fraction of the timeA first version ready in minutes, so the day goes on the decisions that need you.
Certify Your TeamCross-team communication that takes minutes to produce and still carries the detail.
Learning objectiveHandle the reporting nobody enjoysStakeholders kept current without losing an afternoon to every update.
Certify Your TeamA review checklist for the points where output cannot go out the way it arrived.
Learning objectiveKnow where judgement is requiredNothing leaves your desk that a person should have checked and did not.
Certify Your TeamTake one real item from your own backlog and finish it as a spec before the session ends.
Learning objectiveLeave with a spec the team can useBack with the team the next morning, ready to build from.
Certify Your TeamThe recurring tasks of your role, captured once so nobody starts from a blank page again.
Learning objectiveGive the team one prompt libraryA shared starting point, so quality stops depending on who wrote the prompt.
Certify Your TeamFirst draft to final version, without losing the argument somewhere in the middle.
Learning objectiveFinish long documents fasterHours back on every report, with the quality the reader expects.
Certify Your TeamOne package that starts before the meeting and ends with actions that have owners.
Learning objectiveRun meetings end to endLess time around every meeting, and fewer meetings called to repeat the last one.
Certify Your TeamSharpening a decision with AI without quietly handing it the decision.
Learning objectivePut better evidence behind every decisionOptions, risks and counterpoints gathered in minutes rather than days.
Certify Your TeamReal examples of AI-assisted calls that failed, and the checkpoint that would have caught each.
Learning objectiveSpot over-reliance earlyThe warning signs in your own work, caught before a bad call reaches a customer.
Certify Your TeamBuild prep, notes and follow-up for a meeting your team actually has this month.
Learning objectiveProve it on a real meetingColleagues see the difference the next time the team sits down.
Certify Your TeamSteps, handoffs and bottlenecks written down as they happen, not as the process doc claims.
Learning objectiveMap a workflow and find the wasteSee exactly where the hours go before anyone changes a single step.
Certify Your TeamMarking every step honestly, so the redesign survives contact with the team.
Learning objectiveDecide what AI takes overThe team agrees on what changes before anything is switched on, so the redesign is not resisted.
Certify Your TeamRebuilding the flow so every routine step is specified for automation, with its owner named, and people keep the judgement calls.
Learning objectiveRun the new process from next weekFewer handoffs and less waiting, in a flow the team can run without you.
Certify Your TeamThe numbers you will be asked for, and the adoption metrics that show the change stuck.
Learning objectiveProve the savingA figure that holds up when finance asks how it was calculated.
Certify Your TeamFinalise the proposal with its impact estimate and rollout plan, and defend it in the room.
Learning objectiveGet the change approvedLeadership backing to take the new workflow beyond your own team.
Certify Your TeamEvery AI productivity exercise runs on a real process from your own team — a report, a handover, a weekly meeting — so what gets built is in use the week after. Each participant brings one, and nothing else needs preparing.
AI productivity work delivered to your team only, at your offices or live online, with the instructor working alongside the group throughout. No coding, no tooling project, nothing to install.
Every redesign leaves with a time and cost estimate built on your own numbers, and the AI productivity metrics that show whether the change is still holding weeks later. Finance gets a figure, not a promise.
The program is explicit about what AI gets wrong in everyday work — invented facts, confident errors, sensitive data pasted into prompts — and names who checks each one before anything leaves the team.
Two checkpoints test judgement and when to rely on AI, then a capstone presentation and a written rollout plan earn the certification, verified through Accredible and shareable on LinkedIn.
Prompts, checklists and templates for AI productivity — built in the room on your own tasks and kept by the team, so new joiners start from what already works instead of a PDF nobody opens.
Training that moves a team from using AI tool by tool to running a workflow that was rebuilt around it, with the time saved estimated rather than assumed.
21 hours in total across three modules, instructor-led on site or live online, scheduled around your team and workshop-based throughout.
Operations managers, product managers and owners, team leads and business professionals, rather than engineers writing code.
No. AI productivity here needs no coding and no tooling project.
A prompt library, a document and meeting package, and a redesigned workflow with its impact estimate and rollout plan, plus the certification for those who pass.
The AI productivity training is built for the group and priced on team size, level and timeline.
Strategy, workforce design and the economics of an AI-native organisation — for the people who set direction.
Learn More →Discovery, prioritisation and delivery for product teams shipping agentic features customers actually adopt.
Learn More →The full product path — discovery, prioritisation, roadmapping, and scaling a product organisation.
Learn More →Policy, oversight and rollout for engineering leadership governing AI across the development lifecycle.
Learn More →Your team leaves with one process rebuilt for AI productivity, the hours it saves counted, and the rollout plan to take it to the rest of the organisation.