Generic demos don't transfer
Watching someone summarize a sample PDF doesn't help a controller close the books. We teach on each team's actual tasks.
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- AI Enablement & Training
- AI Training & Workshops
AI training that changes how work actually gets done.
Hands-on AI workshops and programs for executives, business teams and engineers — built around your tools, your data policies and your real tasks. Vendor-neutral across ChatGPT, Claude, Microsoft Copilot and Gemini.
5 formatsfrom a 2-hour briefing to an 8-week program
7 role tracksleadership to engineering
30/60/90day impact check-ins
Team program · 4 weeksExample
Kickoff & baselineweek 1 · usage survey, task timing, policy refresher
Role workshopsweek 2 · finance, sales, ops and support tracks
Build labweek 3 · every team automates one real workflow
Showcase & metricsweek 4 · demos, playbook, before/after report
Why most AI training doesn't stick
Licenses go unused when training stops at the demo
One-off sessions fade
Skills decay without practice. Our programs build in labs, office hours and champions who keep momentum going.
Nobody measures it
We baseline before day one and report adoption, time saved and quality afterward — so you know what you got.
Formats
Choose the format that fits your goal
Every format is customized to your organization. Most clients combine two or three — for example, an executive briefing, team workshops and a champions program.
Executive briefing
What AI can and can't do for your business, where competitors are investing, governance essentials and a decision framework.
For leadership teams and boardsHands-on workshop
Guided practice on a team's real tasks with the tools you've approved. Everyone leaves with three workflows they'll use.
For one team or departmentTeam bootcamp
Weekly live sessions, take-home exercises and a build lab where each team automates a workflow end to end.
For teams ready to go deepAI champions program
Train internal champions to coach peers, run show-and-tells and spot the next use cases worth funding.
For scaling across the companyOngoing enablement
Office hours, new-feature briefings and refreshers as tools evolve — so skills keep pace with releases.
For organizations post-rollout
Role-based tracks
Curricula built for each function
Modules run 45–90 minutes and use examples from your own work. Pick tracks per audience; we tailor exercises after a short discovery.
Leadership
For executives who need to set direction, fund the right bets and govern AI responsibly.
Outcome: a one-page AI agenda for your function, with three funded pilots and owners.
- The AI landscape for decision-makers60 min
What's real, what's hype, and where value is showing up in your industry.
- Picking use cases worth funding75 min
An ROI-and-risk scoring exercise on your own candidate workflows.
- Governance without gridlock60 min
Policies, approvals and data rules that protect the company without killing adoption.
- Leading an AI-enabled team45 min
Role changes, skills planning and how to model good AI habits from the top.
Finance
For FP&A, accounting and controllership teams who live in spreadsheets and close calendars.
Outcome: an AI-assisted close checklist and variance-commentary workflow your team owns.
- Analyzing data with AI safely75 min
Uploading exports, asking the right questions and checking every number.
- Variance commentary & reporting60 min
Drafting management commentary and board narratives from your figures.
- Reconciliations & exceptions60 min
Using AI to explain mismatches and prepare support for review.
- Controls and audit readiness45 min
Documenting AI use so auditors and regulators stay comfortable.
Legal & compliance
For in-house counsel, contracts teams and compliance officers.
Outcome: a clause playbook prompt set and a review workflow with citations.
- Confidentiality and privilege with AI45 min
What can be shared, where, and how to keep privilege intact.
- Contract review with a playbook90 min
Hands-on first-pass review of real agreement types against your positions.
- Research you can cite60 min
Grounding answers in sources and catching fabricated citations.
- Policy and regulatory monitoring45 min
Turning new rules into summaries and policy-gap checklists.
Sales & marketing
For reps, sales engineers, marketers and revenue operations.
Outcome: a call-prep and follow-up workflow, plus a brand-voice assistant.
- Account research in minutes60 min
Building briefs from CRM data, filings and news before every call.
- Proposals and RFP responses75 min
Drafting from approved content and flagging what needs an expert.
- On-brand content at speed60 min
Encoding voice, messaging and compliance rules into reusable assistants.
- Pipeline hygiene45 min
Call notes to CRM updates and next steps, automatically.
Operations & HR
For operations managers, people teams and anyone who owns a process.
Outcome: one SOP rewritten and one recurring report automated per participant.
- Process mapping with AI60 min
Turning how work really happens into clear, improvable steps.
- SOPs, policies and reports60 min
Drafting and maintaining documents people actually read.
- Hiring and onboarding workflows60 min
Job descriptions, interview guides and onboarding plans — fairly and consistently.
- Automations without code75 min
Connecting AI to the tools you use with no-code automation platforms.
Customer support
For agents, team leads and support operations.
Outcome: a reply-drafting workflow and a knowledge-gap report for your help center.
- Faster, better replies60 min
Drafting from the knowledge base while keeping your tone and accuracy.
- Summaries and escalations45 min
Condensing long threads and handing off cleanly to tier two.
- Knowledge-base upkeep60 min
Finding gaps and drafting articles from resolved tickets.
- Quality coaching with AI45 min
Self-review against your rubric before a ticket goes out.
Engineering
For developers, QA and platform teams adopting AI coding tools.
Outcome: each squad ships a real backlog item with an AI coding agent, reviewed to your standards.
- AI coding agents in practice90 min
Delegation, planning and context engineering with Claude Code, Codex or Copilot.
- Repo conventions that guide agents60 min
CLAUDE.md and AGENTS.md files, test commands and architecture notes.
- Reviewing AI-written code60 min
Security, licensing and quality checks before merge.
- Building with LLM APIs90 min
Tool use, structured outputs and evals for your first AI feature.
Rolling out Claude specifically? See our dedicated Claude training & bootcamps
ChatGPT training
ChatGPT training for business teams
Rolling out ChatGPT Enterprise or Business? Our ChatGPT program turns licenses into daily habits — with the data-handling rules your security team expects.
- Delivered alongside a ChatGPT Enterprise rollout or on its own
- Every participant builds or adopts at least one team GPT
- Includes a one-page acceptable-use guide tailored to you
- ChatGPT fundamentals for work60 min
Clear briefs, examples and constraints; when to iterate and when to start over.
- Projects and custom GPTs75 min
Organizing ongoing work and packaging repeatable tasks for the whole team.
- Files, data analysis and images60 min
Analyzing spreadsheets, summarizing documents and creating visuals responsibly.
- Connectors and company knowledge45 min
Working with Drive, SharePoint and other approved sources without oversharing.
- Build lab: your team's first GPT90 min
Design, test and publish a GPT for a real workflow, with an owner and review date.
Included in every program
The foundations that make AI safe and useful
Prompting on real tasks
Briefs, context and examples that get usable output the first time.
Choosing the right tool
When to use a chat assistant, a custom assistant, an automation or nothing at all.
Data handling & responsible AI
What can be shared, bias awareness and your company's policies in plain language.
Verifying AI output
Spotting errors and fabricated facts, and checking sources before anything ships.
Redesigning workflows
Moving from one-off prompts to repeatable, shareable ways of working.
Sharing what works
Prompt libraries, show-and-tells and champions that spread good practice.
Measuring impact
How we prove training worked
Training is an investment, so we treat it like one. Every program starts with a baseline and ends with a report you can take to leadership.
- Baseline: tool usage, confidence survey and timing of key tasks
- Adoption: active users and depth of use from admin analytics
- Time saved: re-timed tasks and self-reported weekly savings
- Quality: sampled outputs reviewed against team standards
- Check-ins at 30, 60 and 90 days with recommendations
Delivery
On-site, virtual or hybrid — and you keep everything
On-site
At your offices or offsite, with hands-on labs and live Q&A.
Live virtual
Interactive sessions scheduled across your time zones — never pre-recorded lectures.
Hybrid
A virtual cohort with an in-person kickoff and a showcase day.
Materials you keep
Playbooks, prompt libraries, exercises and recordings for future hires.
FAQ
AI training questions
Do participants need technical skills?
No. Business tracks assume no AI or coding background. Engineering tracks assume normal developer skills and focus on applying AI to your codebase and workflows.
How is this different from free online AI courses?
Free courses teach features. Our programs use your tools, your data policies and your real tasks, so people leave with workflows they use the next morning — and we measure whether it worked.
Which AI tools do you train on?
Whichever your organization uses or is evaluating: ChatGPT, Claude, Microsoft Copilot or Gemini. Foundations modules are tool-neutral; hands-on labs run in your approved tools.
Can training be delivered in person?
Yes. We deliver on-site, live virtual or hybrid programs — for example, a virtual cohort with an in-person kickoff and showcase.
How large can a cohort be?
Hands-on cohorts work best at up to 25 people. Executive briefings and kickoff keynotes can be larger, and big organizations run several cohorts plus a champions program.
How do you measure training success?
We baseline tool usage and the time key tasks take before training, then track adoption, time saved and output quality at 30, 60 and 90 days.
Ready when you are
Let's put AI to work in your business.
Book a 30-minute strategy call. You'll talk to an engineer who ships production AI — and leave with a clear next step, whether or not we work together.