Practical training, hands-on workflow building, and ongoing support. We help your team use AI in everyday work, whether you’re getting started or improving the agents you already use.
We’ve trained leaders and staff from organizations including
Vercel
LaunchDarkly
Fivetran
GitLab
Calendly
Amazon
Nike
Netflix
Dell
Salesforce
Red Hat
Peloton
Stryker
Worldline
LegitScript
Cash App
8,000+ professionals trained across our programs.
The state of AI
Loud at the edges. Useful in the middle.
Most of the AI conversation pulls toward an extreme: hype or letdown, doom or utopia. The useful work happens in the middle, with a simple rule for sharing the work between your people and AI.
HypeUtopiaLet downDoom &gloomThe 10-80-10 rule
108010
PeopleAIPeople
The 10-80-10 rule
10%
People set the direction
Choose the task, gather the inputs, and define what good looks like.
80%
AI does the heavy lifting
Drafting, research, and the repeatable steps in between.
10%
People review and own it
Check the result, handle the edge cases, and own the outcome.
How we help
Clarity for your leaders. Capability for your team.
Successful AI adoption involves people, processes, and technology. We help you connect all three, around your organization’s priorities.
01
Give your team a shared foundation.
Useful when: Your people are experimenting with AI, but adoption is uneven.
Bring leaders and staff together around what AI can do, where it fits, and how to use it responsibly. We facilitate decisions and teach practical skills through your team’s real work.
Leadership alignment and facilitated workshops
Hands-on AI training for workplace teams
Practical playbooks, examples, and templates
02
Turn useful ideas into working workflows.
Useful when: You have promising use cases and need help implementing them.
Choose the work worth improving, then map, build, and tune AI workflows and agents alongside your team. Connect the instructions, context, and quality checks to the result you need.
Workflow discovery and prioritization
Custom AI workflows and agent co-building
Human review and clear operating boundaries
03
Help the new way of working stick.
Useful when: You’ve completed training and want the new habits to stick.
Keep applying what you learn with coaching, implementation support, and a place to work through obstacles. Help people build confidence, review results, and make the next improvement.
Implementation coaching and ongoing support
AI Mastermind sessions and peer feedback
Workflow review and continued improvement
The ROI of AI
Aim AI at a job. Skip the waste.
AI pays off when it saves time on a specific, recurring job, and that time helps your team make money or save it. So instead of asking “How can we use this tool?”, ask “Which job should this improve?”
Make moneySavetimeSave moneyWastetimetokensleaksJTBDJTBD
A job to be done
When a newsletter is approved, I want to post it on LinkedIn automatically, so I can drive conversions and traffic.
Find the job to be done
Save time, make money
Speed up recurring work that brings in revenue, like prepping prospect outreach.
Save time, save money
Take hours out of recurring work, like drafting the weekly board update.
Waste
Tool-first use with no clear job burns time and tokens, and can leak sensitive data.
Our work / Health tech
30 leaders. One shared language for AI.
A $75M health tech company needed a common foundation for AI adoption across executives, managers, and analysts.
We delivered a private, customized program connecting AI fundamentals to department workflows, a company playbook, and ongoing implementation support.
The client’s starting point and what the program helped them build
Where they started
What they built
Different understandings of AI
A shared language, from executives to analysts
Unclear connections to daily work
Department workflows tied to practical applications
No common framework for adoption
A company playbook and ongoing implementation support
Our platform / Longhand
From training to operational AI.
Longhand is our platform for building and running AI workflows. It connects practical AI skills with the repeatable work your team does every day.
The related enterprise classification case study shows the approach in action. In the workflow demo, agents research each item and propose a classification. Analysts review uncertain results, with their corrections captured as feedback for future runs.
Choose a focused program or talk with us about a private engagement. We’ll discuss your team, priorities, and timing, then confirm what the work includes.
AI 90 · For leadership teams
Team training and adoption
Build AI literacy and practical skills across your organization, with live training, custom tools built in the sessions, an executive debrief, and implementation support.
8 live training hours · 90 days of support Up to 30 leaders
Build and improve AI agents alongside us over 30 days. Bring work you want to automate, whether you’re starting fresh or expanding what you already use.
30 days of hands-on co-building One year of AI Mastermind support
Practitioners, educators, and people in your corner.
Tech Leaders was founded by Todd Larsen and Stephen Bates to help technical professionals grow as leaders. Our work brings that foundation in leadership development to the challenges of AI adoption.
Our founders and educator network bring experience in engineering, executive coaching, product, and organizational change. We facilitate, train, and coach alongside your team.
Todd Larsen
Co-founder · Engineering & AI implementation
Former Global Platform Engineer at Groupon and Founding Engineer at Digit. Brings product, engineering, and technical leadership experience to practical AI adoption.
Stephen Bates
Co-founder · Leadership & organizational change
Executive coach and leadership consultant with more than 25 years of experience in corporate training and developing technical leaders.
John Chapman
Coaching & team development
Former IT Applications Services & Development Manager at iPSL. Helps leaders and teams build confidence and turn learning into action.
Amelia Leigner
Product, marketing & growth
Fractional CMO for Tech Leaders and product and growth leader at Bottega8, with experience helping startups and AI companies launch and scale.
Nick Talwar
AI strategy & technical leadership
Former Microsoft technical leader and CTO and Partner at Bottega8. Advises executives and boards on AI strategy and implementation.
Matt Kirk
AI & machine learning
Engineering leader with experience at AugmentAI and Zeitworks, and author of the O’Reilly book Thoughtful Machine Learning.
Manju Abraham
Enterprise engineering & transformation
VP of Engineering at Bottega8 and former engineering executive at HPE and Delphix. Connects AI ambition with people, governance, and organizational change.
Whether your team is exploring AI or already building agents, we begin with the work you want to improve and what a useful result would look like.
01
Understand the work
Start with your priorities, the people involved, and what is already happening with AI.
02
Choose a useful starting point
Agree on the scope, a practical use case, and what a good result should look like.
03
Learn and build together
Apply the training to real workflows. Practice, build, and review with your team involved.
04
Support the next improvement
Use feedback, coaching, and agreed measures to improve the work and continue adoption.
Participant perspectives
What it’s like to learn and work with us.
Feedback from leaders and professionals who have taken part in our programs.
“With the help of this program, I can focus on building better solutions and significantly reduce the time I spend on repetitive tasks.”
Marco MonteiroProgram participant
“Tech Leaders will meet you where you are with patience, understanding, and real practical help.”
Pamela JohnstonSenior Business Strategy Consultant · Program participant
“Todd shows where the rubber hits the road because he's actively doing it for his companies at the exact same time.”
Brett P WilzbachProgram participant
Practical questions
A few things you may be wondering.
Have a question specific to your organization? Email Todd or book a conversation.
Can you help if our teams are at different stages with AI?
Yes. We work with leaders and teams who are getting started, as well as people already using AI workflows or agents. We start with your organization’s current experience and priorities, then shape the training and implementation work around them.
Do participants need a technical background?
No technical background is required for our AI training and agent co-building programs. We connect the learning to participants’ roles and recurring work. The tools, integrations, and technical requirements for an engagement are discussed when we agree on scope.
How do you approach responsible use and sensitive information?
Our training covers responsible AI use, output validation, and human accountability. Before applying AI to a workflow, we discuss your approved tools, data boundaries, access, and review requirements. Your organization’s policies and decision rights guide the work.
Can you work with our organization privately?
Yes. We offer private, customized programs for organizations, with on-site or virtual delivery. We discuss the participants, business priorities, delivery format, and support needs before defining the engagement.
How much time does an engagement take?
The scope depends on the participants and the work. Our AI 90 team program supports up to 30 leaders, with 8 hours of live training and 90 days of implementation support. Private workshops and implementation engagements are scoped with your organization. AI 30 is a separate 30-day co-building program for individuals. We confirm the scope and schedule with you before you commit.
Explore our thinking
Get a feel for how we work.
Start with practical examples, or explore how we can help at your next event.
In a 30-minute conversation with Todd, we’ll discuss your priorities, how your people use AI today, and where training or implementation support could help.