AI training for teams
AI training for executives, managers and developers
Briebug's AI training teaches executives, managers and developers to use AI tools efficiently, keep company and customer data secure, and check AI output before it ships. Every participant starts with a shared half day, then takes the track for their role: one day for executives, one and a half for managers, three hands-on days for developers.
Who it is for
Your people already use AI. The question is whether they use it well, safely and in a way you can measure. Each role gets training at the level it works at.
Executives and business owners
1 day
Decide, fund and govern.
They leave with: A ranked list of AI uses worth funding, an AI policy with an owner, and the metrics you will accept as proof.
Managers
1.5 days
Set the workflow and the review standard.
They leave with: One team process redesigned with human approval points, a review checklist, and a 30-day measurement plan.
Developers
3 days, hands-on
Build with AI agents, and verify what they build.
They leave with: Rules files for your repository, tests that fail when the code breaks, and least-privilege access for every agent.
The shared foundation: a half day for everyone
Everyone starts here, in mixed groups. It gives the whole company the same data rules and the same habits before any role-specific work.
How AI tools work
Why a confident answer can be wrong, what the model can see, and why long sessions cost more.
The data rules card
Green, amber or red: classify any input in seconds and know which tool may take it.
Briefing, not prompting
A five-part brief: goal, context, constraints, what done looks like, and the evidence you want back.
Verify before you trust
Check every number, name, date and source. A search that found nothing proves only what it searched.
Core security awareness
AI-written phishing, cloned voices, MFA, device security, and how to report an incident in the first hour.
The three tracks
Every module pairs a short talk with an exercise on your own work. Nothing is a lecture you forget by Friday.
Executives and business owners
1 day
- Where AI pays and where it costs, scored on your own processes
- Risk, liability and compliance, with a data-leak tabletop exercise
- A one-page AI policy: approved tools, data tiers, owners
- Buying AI: a 10-question vendor and contract checklist
- Reading AI results honestly: what a fair before-and-after looks like
- Leading the change: the launch message to your staff
Managers
1.5 days
- Finding the right work for AI in one real team process
- Writing briefs that work, kept as team templates
- Reviewing AI-assisted work for the five common failures
- Safe use on the ground, with your team's own examples
- Workflow redesign with an owner and an approval point for each step
- Measuring and coaching: a baseline and a 30-day plan
Developers
3 days
- Agent mechanics and cost: context, tool calls, batching and subagents
- Repository rules loaded into Claude Code, Codex and Cursor
- Evidence first: reproduce the bug before any theory
- Test-driven work with an agent: red, green, refactor
- Checks that cannot fail: a mutation drill on your test suite
- Secure AI-assisted coding, including prompt injection
- Permissions, tools and MCP connectors with least privilege
- Review loops and delivery, from branch to merged with no bypass
Security built in, not bolted on
Every track uses one data rules card. Public material can go into any tool. Internal material goes only into the business plans your company approved. Regulated or secret data, such as customer records, credentials and contract terms, goes into an AI tool only through an integration your security team reviewed.
Developers practice the controls that matter most with AI agents: least-privilege access, no secrets in code or prompts, and treating fetched web pages and files as data, never as instructions. Briebug runs ISO 27001:2022 certified controls, and we teach what we practice.
Records your auditor can use
The program is designed to count as security awareness training. Your auditor decides whether it does, so you get what an auditor samples:
- A dated attendance record for each person
- Quiz scores against a pass mark, with a retake
- Signed AI and security policy acknowledgments
- The versioned module list for the session
What to expect
We teach in person at your office, in groups small enough for every person to do every exercise. A live online version is available with the same content in shorter sessions. This is the order it runs in.
Scoping call
We learn which roles you want trained, which AI tools your company uses, and what your data and compliance rules are.
Tailoring
We build the exercises on your approved tools and on examples your team scrubs of customer data. Developer labs run on your codebase where your policy allows, or on a Briebug sample repository.
Shared foundation
Every participant takes the same half day first, so executives, managers and developers share one vocabulary and one set of data rules.
Role tracks
Each group takes its own track. Every module ends in something the team keeps: a policy, a checklist, a redesigned workflow, a rules file or a merged change.
30-day follow-up
We review the numbers against the baseline taken before training, and the developers' capstone work, with each group.
AI training FAQ
Who teaches the training?
Senior Briebug engineers and leaders who use these AI tools on client work every day. The program is owned by Jesse Sanders, CEO and Enterprise Principal, and Kevin Schuchard, Director of Engineering, who keep it current as the tools change.
Which AI tools do you cover?
The labs use Claude, including Claude Code, Codex and Cursor. Where your company uses GitHub Copilot, ChatGPT business plans, Microsoft 365 Copilot or Gemini, we teach those too. We always teach the business plan your company approved, not a personal account.
Can the training count as security awareness training?
It is built to. It includes a core security module, a quiz with a pass mark, signed policy acknowledgments and a dated attendance record for each person. For your own audit, your auditor decides whether it counts, so we send the module list and a sample record to your compliance lead before the first session.
Is it in person or online?
In person at your office is the format we recommend, because the exercises work best around one table. A live online version is available, with the same content split into shorter sessions.
Do we have to share customer data with you?
No. Exercises use synthetic data and examples your team scrubs first. Developer labs run on your codebase only where your policy allows; otherwise they use a Briebug sample repository.
How is the training priced?
Per cohort, after a scoping call. The price depends on which tracks you choose, the number of people and where we teach. You get a fixed quote before you commit.
Train your team to use AI well.
A short call with a senior Briebug leader. Tell us who you want trained and which tools you use, and we will scope the program and give you a fixed quote.