Team Training & Workshops

Your team is already using AI. Quietly, and badly.

Right now someone on your payroll is pasting client information into a personal chatbot account and shipping whatever comes back. Training turns that liability into a team skill with standards.

Plan our first workshop

Built on your real workflows, capped at 12 people, remote or on-site.

The same task, before and after training Drag the handle

Untrained

The brief given to the tool:

"write a follow up email to the client about the delay"

What comes back:

Generic apology, wrong tone, invents a new delivery date. Sent as-is because it "looked fine."

Contract details pasted into a personal account. Nobody knows.

Trained

The brief given to the tool:

Context, the real constraint, a past email for voice, and what not to promise. Run in the approved workspace.

What ships:

A draft in the company's voice with accurate dates, reviewed against a two-minute checklist, then sent.

Ten minutes, on brand, and the data never left approved systems.

Formats

Three formats, one habit

Pick one or stack them. Every format ends with something your team built and kept.

Half day · whole team

Foundations Workshop

Everyone leaves able to brief a model properly, judge its output, and know the three rules that keep data safe. The floor rises for the whole company at once.

90 minutes · per function

Role Deep-Dives

Sales, support, ops, and admin each get sessions on their own workflows: the quote, the ticket, the report they actually write. Built from your audit findings when you have them.

Monthly · drop-in

Office Hours

A standing session where anyone brings a stuck workflow and leaves with it working. This is where skills compound instead of fading after week two.

What we actually teach

Four modules, zero demos on fake data

Briefing a model like you brief a person

Context, constraints, examples, and voice. Your team practices on their own backlog: the proposal due Friday, the awkward client reply, the SOP nobody wrote. The output improves in the room, on work that matters.

A shared playbook, not private tricks

The best briefs get captured into a team library organized by task, with your voice samples and no-go terms baked in. New hires inherit it on day one. When someone leaves, the skill stays.

Reviewing in two minutes, not twenty

A short checklist per task type: facts verified, tone matched, nothing promised that cannot be kept. Review is what separates teams that ship AI work proudly from teams that get caught by it.

The tasks AI should never touch

Pricing decisions, legal commitments, sensitive personnel matters, anything where a confident wrong answer costs more than the time saved. Knowing where the line sits is the mark of a trained team.

Guardrails

The one-page policy that prevents the headline

Every engagement includes a plain-English AI use policy, written for your business and small enough that people actually follow it.

Covered and encouraged

Drafting, summarizing, and rewriting inside company-approved workspaces.
Internal research and first-pass analysis, always verified before it travels.
Meeting notes and documentation, with named human owners.
Anything on the audit roadmap, using the team playbook.

Out of bounds, in writing

Client or employee data in personal accounts, ever.
Publishing AI output nobody reviewed, anywhere a customer can see it.
Feeding contracts or credentials into tools that train on inputs.
Presenting generated numbers as verified fact.

Where this sits

Strongest after the audit, durable with the retainer

Before: AI Readiness Audit Training built from your ranked roadmap lands on the work that pays, not hypotheticals. After: Maintenance & Optimization Retainer Skills need systems that keep working. The retainer keeps both current as models change.

Questions

What managers ask before booking

Is this a generic AI 101 course?

No. Every exercise uses your documents, your customers' questions, and your tone of voice. Generic demos are why the last training did not stick.

Part of my team thinks AI will replace them. Will they engage?

We address it head-on in the first session. The training is framed around removing the work people complain about, and skeptics usually convert the first time a tedious task drops from an hour to ten minutes with their name still on the quality.

Which tools do you train on?

The ones you already pay for. We are tool-agnostic: the skills are briefing, reviewing, and knowing when not to use AI. Those survive every tool change.

Remote or on-site, and how many people?

Both work. Hands-on sessions cap at 12 people so everyone ships something real during the session. Larger groups split into cohorts.

Book training

Every week untrained is a week of quiet risk.

A scoping call sets the agenda. Your first engagement includes:

A session plan built from your workflows, not a slide deck we reuse.
The team prompt playbook and two-minute review checklists, yours to keep.
A one-page AI use policy your leadership can sign off that week.