AI 30 / For teams and leaders
Turn your team into confident AI leaders.
In 30 days, help your people choose valuable work, build or improve AI workflows, measure the results, and lead adoption together.
For teams starting with AI or improving what they already use. Smaller cohorts welcome.
Start with a 15-minute call. Scope agreed before you commit.
$2,500 per seat · Volume discounts available Share the one-page summaryTraining leaders and staff at companies like
- Vercel
- LaunchDarkly
- Fivetran
- GitLab
- Calendly
- Amazon
- Nike
- Netflix
- Dell
- Salesforce
- Red Hat
- Peloton
- Stryker
- Worldline
- LegitScript
- Cash App
The change you are working toward
A shared way to work with AI.
Build from where your people are today. Choose clearer priorities, develop confidence, and make useful AI work easier to repeat and improve.
Alignment
Starting pointScattered experiments and competing priorities
What your team works towardShared priorities and clear success measures
Mindset
Starting pointUncertainty about what to trust or delegate
What your team works towardConfidence directing AI and checking its work
Skillset
Starting pointRepeating prompts and correcting the same mistakes
What your team works towardReusable instructions, examples, and saved feedback
Toolset
Starting pointTools without a dependable process
What your team works towardReviewed workflows with owners and measurable results
These are common starting points. We tailor the work to your roles, experience, and workflows already in use.
See the change in real work
An AI Chief of Staff.
Built around your team.
Bring the information scattered across your tools into a brief your team can check. Then use what you learn to improve the next run.
- 01
Give it the context
Use approved email, calendar, and project sources where your workspace supports connections, or bring permitted excerpts. Set your priorities and the decisions that stay with you.
- 02
Draft the brief
Bring priorities, risks, follow-ups, and specialist handoffs into a brief with source links. Ask it to flag missing owners, conflicting dates, and unanswered questions.
- 03
Use your judgment
Check claims against the sources. Resolve gaps, confirm owners and dates, and approve consequential actions before anything is sent or changed.
- 04
Save the correction
Keep your corrections and reviewed examples in reusable instructions. Make your team's standard clearer so you can test it on the next run.
- 05
Check the next run
Compare with the same inputs and quality checks. Record review effort and corrections, then decide what to keep, revise, or stop.
An illustrative workflow we can adapt together. Connections, specialist handoffs, and scheduling depend on your approved workspace and agreed scope.
The 4 Gears of AI Usage
Match the way you use AI to the work.
A question, a deliverable, an objective, or a recurring outcome. Choose the support each job needs and build on what already works.
Chat
Explore a question or an idea.
Assistant
Work toward a finished deliverable.
Agents
Delegate a multi-step objective with review points.
Loops
Track a recurring outcome and improve the next run.
Your people set the direction, define what good looks like, review the results, and own the decisions.
Other workflows we can adapt with your team
A connected sales pipeline
Prospect research, conversations, and your CRM
Relevant prospects, a record of conversations, and follow-up drafts ready for review.
Your team reviews outreach before sending.
An operations monitoring agent
Workflow alerts and approved operational sources
An investigation of an issue across your tools and a proposed fix for your team to consider.
Someone responsible approves any change.
From a past client program
30 leaders.
One shared foundation.
We worked with executives, managers, and analysts at a healthcare company on practical AI workflows and responsible use.
Read the healthcare case studyA separate, private three-week engagement. Your AI 30 scope and schedule are agreed in your proposal.
What changed for their team
Where they startedDifferent understandings of AI
What they builtA shared language, from executives to analysts
Where they startedUnclear connections to daily work
What they builtDepartment workflows tied to practical applications
Where they startedNo common framework for adoption
What they builtA company playbook and ongoing implementation support
Inside a past client's company playbook
This playbook was delivered in the separate healthcare engagement. Your cohort's deliverables are agreed in your proposal.
- AI usage policies and governance
- Department-specific prompt libraries
- Tool selection and integration guides
- Quality and validation checklists
- ROI tracking and success metrics
- Security and compliance guidelines
What your team can show by day 30
Work you can review.
Progress you can explain.
Keep the evidence behind the change, along with a method your team can apply to the next task.
- 01
A priority worth improving
A selected workflow with a clear scope, approved inputs, a useful output, and success measures tied to your team's work.
- 02
Instructions your team can reuse
Role context, examples, and review standards you can save, share, and adapt as your work changes.
- 03
A reviewed workflow run
A result checked against its sources, with corrections, unresolved gaps, and the review decision recorded.
- 04
A before-and-after comparison
Evidence of quality, total effort, and cost against a baseline, including the preparation, review, and rework behind the result.
- 05
An owner and a next step
A named owner, a review rhythm, and a decision to continue, change, or stop. Agree on the next priorities with your executive sponsor.
- 06
An adoption plan your champions can use
Name an internal champion, plan how colleagues will try the workflow and share feedback, and agree on how to check adoption.
We agree on priorities and success measures together. Completed builds depend on scope, approved access, complexity, and participation. Where access is blocked, document the setup needed and the next decision in a worksheet.
Help the change take hold
Give your people a plan to use it.
A useful workflow needs people who will try it, shape it, and keep using it. Build an adoption plan around your colleagues, with an internal champion to lead the next step.
We teach, coach, and build agreed workflows with you. Your organization owns approvals, rollout, and ongoing operation. Additional implementation by our team is scoped and priced separately.
- 01
Name your champion
Choose someone who helps people try the workflow, answers questions, and keeps the sponsor informed.
- 02
Listen and act on feedback
Ask people what helps, what gets in the way, and what support they need. Use their feedback to improve how the team works.
- 03
Check adoption
Agree on who will use the workflow and how you will check use, quality, and results before expanding it.
Your team's next 30 days
Learn it. Try it.
Make it part of the work.
Four live sessions, practice between them, and people to help when you get stuck. We agree on the schedule and priorities with your team.
Week 01
Choose the work
Agree on priorities, approved tools, and a baseline for time, cost, and quality. Write the context and instructions your workflows need.
A clear brief and a starting measure
Week 02
Build and check it
Build or improve workflows around your team's real tasks. Test the outputs, missing information, and the decisions that need human review.
A workflow your team can review
Week 03
Put it into practice
Try the workflow with colleagues. Work with your internal champion to hear what helps, address concerns, and improve how people use it.
Team feedback and an adoption plan
Week 04
Measure. Decide. Keep going.
Compare results with the baseline. Review progress with your executive sponsor and decide what to continue, change, or stop, and who owns the next step.
Evidence and a plan for what comes next
Weekly implementation office hours: bring a workflow you've tried, the result, and a blocker. Work through next steps with us, with asynchronous help throughout the 30 days and recordings to revisit. Your sponsor gives participants time to practice and helps remove blockers.
The skills behind the results
Build with better judgment.
Hands-on AI practice and the leadership decisions that make it useful. We tailor the examples to your people's roles and experience.
01Give AI the context it needs
Hands-on practiceWrite a Chief of Staff brief you can use again. Include your role, priorities, approved sources, instructions, and what a good result looks like.
Leading your teamKnow where AI can help, where it can fail, and which decisions still need your judgment.
02Choose work worth improving
Hands-on practiceLook at the work that repeats in your calendar. Choose a task, then define what starts it, what goes in, what comes out, who checks it, and what done means.
Leading your teamCheck the value and risk before you start. Make sure your team is ready and someone owns the work.
03Choose an approved tool that fits the job
Hands-on practiceCompare tools against your task. Check which sources they can use, then plan a fair comparison with how you do the work today.
Leading your teamFind out what's getting in the way of adoption and what people need to try a different way of working.
04Set up, run, and review an agent
Hands-on practiceSave the setup and open it again. Review a draft, test what happens when information is missing or conflicts, and try a sample schedule where your workspace supports it.
Leading your teamMake a clear case for your sponsor and name the person who checks the work. Keep consequential actions with the person responsible.
05Use the results to improve the next run
Hands-on practiceCompare quality and total effort. Change one instruction and test again. Record whether to keep going, revise the workflow, or stop.
Leading your teamDecide who owns the workflow, when to review it, and how people can give feedback and make it better.
Bring the people doing the work and the people responsible for it on board.
The People Yes: Help colleagues see the value, try the workflow, and shape how they use it.
The Guardian Yes: Work with IT and security on approved tools, data permissions, and human review.
We use the Two Yeses and ADKAR frameworks to work through concerns, build confidence, and reinforce useful changes.
One program for your cohort
The training. The practice.
The support to use it.
8 hours of live training
Two-hour sessions where you build and review workflows while practicing the leadership decisions behind them. Recordings are available.
AI SOS playbook + adoption plan
Choose useful work, check the results, and plan adoption with a champion, team feedback, and clear measures of use.
Skill Spec templates + examples
Briefs and examples to define the instructions, approved sources, outputs, limits, and review checks for your workflow.
AI Leader™ certification
Certification that recognizes your team's AI leadership development.
30 days of implementation support
Weekly implementation office hours and asynchronous help throughout the 30 days. Bring attempted workflows, results, or blockers for coaching and next steps.
Lifetime methodology updates
Keep access to updates as our method evolves, at no extra cost.
Customized to your organization
Training shaped around the roles and priorities of company teams, industry groups, and member association cohorts.
On-site or virtual delivery
Choose the format that works for your leadership team.
Guided workflow building
Build and test agreed workflows with us using approved tools and data. Your organization owns review, rollout, and ongoing operation.
Executive debrief session
Review what changed, what the results are worth, and what's getting in the way. Agree on what to continue, revise, or stop.
People in your corner
Practitioners.
Educators.
Your team alongside ours.
Experience in AI, engineering, product, leadership, and organizational change. We confirm your facilitator team when we scope the program.
Meet the facilitatorsIn partnership with Bottega8
Todd Larsen
Co-founder · Engineering & AI implementation
Stephen Bates
Co-founder · Leadership & organizational change
John Chapman
Coaching & team development
Amelia Leigner
Product, marketing & growth
Nick Talwar
AI strategy & technical leadership
Matt Kirk
AI & machine learning
Manju Abraham
Enterprise engineering & transformation
Preview the approach
See what you will learn.
Two short explainers introduce how we choose useful work, build workflows, and keep human review.
AI-First Fundamentals
An explainer on choosing useful work, defining a result, and comparing tools.
AI Tools and Workflows
An explainer on workflow steps, context, and human review.
For companies and cohort organizers
Build your cohort.
Bring a company team, a department, or leaders from across the business. Industry groups and member associations can organize a cohort for their members. Start with a smaller cohort if that fits your priorities.
$2,500 per seat · base price
Volume discounts quoted by cohort size. Tell us who you want to involve. We'll confirm your cohort's investment, scope, format, and timing in a proposal.
Measure the whole job.
Compare the same work before and after AI, then decide what to keep, change, or stop.
- Quality
- Does the result meet the same standard? Record what it missed or got wrong.
- Total effort
- Count preparation, review, corrections, and unexpected problems alongside the AI run.
- Cost and adoption
- Include program, tool, implementation, and support costs. Check whether people keep using the workflow.
Time saved creates capacity. Cash savings and ROI also depend on actual costs and financial effects.
Plan your team's investment
Use your expected headcount. Smaller cohorts are welcome.
Final pricing is quoted for your cohort. This estimate is not a checkout or commitment.
Opens an email draft with your seat count. Review and send it from your email app.
Talk through your cohortBefore you bring the team
A few practical
questions.
Who is AI 30 for?
Company-sponsored teams, leaders, and domain experts, plus cohorts organized by industry groups and member associations. Bring people who want to put AI to work and help colleagues use it well. Smaller cohorts are welcome. We agree on the seat count and scope with your company or member organization, whether participants are starting with AI or improving workflows already in use.
How much does it cost?
The base price is $2,500 per seat. Volume discounts are quoted by cohort size. We confirm the total investment, participants, delivery format, and scope in a team proposal before you commit. The seat calculator shows the base investment before any volume discount; it is not a final quote.
How do the 30 days work?
The program includes eight hours of live training in four two-hour sessions, with practice between sessions, weekly implementation office hours, and asynchronous implementation help throughout the 30 days. Bring workflows you have tried, results, and blockers to office hours for coaching and next steps. We agree on the schedule with your team and close with an executive debrief. Recordings are available.
Can we start with a smaller cohort?
Yes. Bring the people who will put the work into practice and a sponsor who can help remove blockers. We will scope the cohort around your team rather than require a 30-person group. Include your expected seat count in the proposal request.
Do participants need to code or be new to AI?
No coding background is required. Newcomers learn how to provide context, direct AI, and review its work. Participants already using agents can bring their workflows, improve the results, and work on adoption. We tailor practice to participants' roles and experience.
What will our team have at the end?
Reusable instructions, workflow briefs, reviewed outputs, quality checks, and a comparison with your starting process. An adoption plan names your internal champion, a way to gather and act on team feedback, and measures of use. Your team keeps the playbook, templates, recordings, AI Leader certification, and lifetime methodology updates. The executive debrief sets owners and next steps. Completed builds depend on scope, access, complexity, and participation.
Who leads implementation and adoption?
We teach, coach, and build agreed workflows with your participants. Your organization owns approvals, rollout, and ongoing operation. Your internal champion helps colleagues try the workflow and acts on their feedback. Additional implementation by our team is scoped and priced separately in your proposal.
Can you work with our company tools and data?
We tailor the program to your industry and roles and deliver on-site or virtually. Sessions are conducted under NDA. Use only tools, sources, and information your company approves. We agree on permissions and reviewers with your team; integrations and scheduling depend on your approved workspace. Tool subscriptions, API usage, and any additional implementation are agreed in the proposal.
How do we measure the return?
Start with the same task and quality standard before and after AI. Count preparation, review, corrections, program costs, tool costs, and implementation effort. Track whether people keep using the workflow. Reclaimed time is capacity; cash savings and ROI also depend on actual costs and financial effects. We review the evidence with your executive sponsor.
What happens after day 30?
Your team keeps the work, recordings, certification, playbook, templates, and lifetime methodology updates. Live and asynchronous implementation support cover the 30-day program. We use the executive debrief to agree on ownership and next steps; any further support is scoped separately.
Bring the work you want to improve
What could your team
put to work in 30 days?
Tell us about your people, priorities, and timing. We'll work out a useful next step together.