Guides
How to make a team
AI-native.
Long, specific and free to read. Written by the people who run the training, for the person who has to make it happen.
By team
One guide per team.
Guide · Sales teamsHow to make your sales team AI-nativeThe workflows, tools and 12-week plan TAI Labs uses to make a sales team AI-native: account briefs, CRM updates and follow-ups built on your own process, with a seller reviewing every output.Guide · Marketing teamsHow to make your marketing team AI-nativeHow TAI Labs takes a marketing team from an approved customer insight to campaign copy, image and video concepts and a test plan: the workflows, the creative tools, the brand-voice skill and the plan.Guide · Operations teamsHow to make your operations team AI-nativeHandovers, reporting, triage, approvals and an internal knowledge assistant: the connected workflows, tools and 12-week plan TAI Labs uses to make an operations team AI-native with people in control.Guide · Product teamsHow to make your product team AI-nativeFrom a customer question to a prototype worth testing: the research synthesis, briefs, prioritisation and prototyping workflows, the tools, and the 12-week plan TAI Labs runs with product teams.Guide · Engineering teamsHow to make your engineering team AI-nativeCoding agents on your own repository, custom MCP connections, evaluation sets and engineering standards as skills: the plan TAI Labs runs with engineering teams, and why it never measures adoption per developer.
Across the company
The playbooks.
Playbook · Company-wide rolloutHow to roll out AI across a company in 90 daysThe 90-day playbook TAI Labs uses to roll AI out across a company: discovery, one pilot team, champions, the internal knowledge and training system, the one-page policy and the executive readiness report.Playbook · Cost and budgetingHow much does corporate AI training cost?What corporate AI training costs in 2026 by format, what moves the number, TAI Labs' indicative ranges for a 20-person team, and why the comparison that matters is what the team still has a year later.Playbook · ROI and measurementHow to measure the ROI of AI trainingA baseline on real tasks, a like-for-like comparison and assessed work: the measurement method behind TAI Labs' executive readiness report, the measures per team, and the numbers to be suspicious of.Playbook · Knowledge systemHow to build an internal AI knowledge system your team actually usesCapture the knowledge that is not written down, link every claim to its evidence, review before you publish, make privacy visible, and turn approved knowledge into learning: how TAI Labs builds Prometheus.Playbook · Choosing a providerHow to choose an AI training provider for your teamThe four formats compared honestly, the twelve questions to ask any AI training provider and what a good answer sounds like, and when TAI Labs is not the right choice for your team.
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