AI Training

Role-Based

Hands-On Labs

Standards & Governance

Your team knows AI exists. We teach them how to actually use it.

Hands-on workshops where people build real outputs — not watch demos. We focus on the habits that drive adoption: better prompting, better evaluation, better automation design, and better governance.

Request a Workshop Transformation Services

Sessions combine instruction, live examples, and "do it now" labs. Everyone leaves with output they can use the next day.

By Function

We train teams by role so they learn the tools and patterns that matter in their daily work.

Every session is built around the workflows your people already do — not abstract prompt theory. Marketing learns to ship content. Sales learns to research accounts. Ops learns to automate the boring stuff.

📣

Marketing

Produce a week of content in a single session. Ship faster without sacrificing quality.

Content ops and creative iteration
Audience research and insight synthesis
Brand-safe output with tone controls
Repurposing: long-form → social → email

🎯

Sales

Research 50 accounts in an hour. Personalize outreach at a scale that wasn't possible before.

Outbound personalization at scale
Account research and competitive intel
Follow-up systems and CRM enrichment
Proposal and RFP acceleration

🔬

Research

Synthesize 100 pages into key insights in minutes. Turn raw data into structured reports.

Synthesis, tagging, and insight extraction
Reporting automation and formatting
Literature review and trend analysis
Survey analysis and thematic coding

⚙️

Operations

Automate the tasks your team hates. Reports, tickets, and internal requests — handled.

SOP automation and documentation
Ticket triage and routing logic
Internal knowledge copilots
Process monitoring and alerts

Approach

Training that changes how people work — not just what they know.

Most AI training teaches concepts. Ours teaches habits. People walk out with live outputs, reusable templates, and a shared operating system for how AI work gets done.

Built around real output, not slides

Every workshop is structured around live "do it now" exercises where participants produce actual deliverables using their own data, tools, and workflows.

Participants leave with work they can use immediately
Exercises use real company data and brand guidelines
Instruction → example → lab → review cycle
Small cohorts for hands-on attention and feedback

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Designed for adoption, not just awareness

We don't just teach prompting — we build the habits, templates, and evaluation loops that make AI usage stick across teams.

Reusable templates

Prompt libraries and output checklists the whole team can use from day one.

Evaluation rubrics

Review criteria so AI output gets better over time, not worse.

Shared standards

Clear rules for data use, approvals, and escalation triggers.

Adoption tracking

Usage dashboards showing who's using AI, time saved, and ROI.

Add Governance Talk to Training

Formats

Workshops that fit how your teams actually learn.

From half-day intensives to multi-week programs, every format is designed around real workflows with measurable skill lift.

⚡

Half-day intensive

A focused sprint on one function or workflow. Ideal for getting a team productive with AI fast.

3–4 hours, one team or function
Instruction + 2 live lab exercises
Participants leave with templates and outputs
Best for: quick wins and proof of concept

🔥

Multi-day workshop

Deep training across multiple functions with cross-team collaboration and shared standards.

2–3 days across 2–4 teams
Function-specific tracks + joint sessions
Standards, templates, and evaluation rubrics
Best for: company-wide AI adoption launch

🚀

Ongoing enablement

A structured cadence of workshops, office hours, and skill tracking over 6–12 weeks.

Weekly or biweekly sessions
Progressive skill building with assignments
Usage dashboards and adoption metrics
Best for: sustained transformation programs

Operating System

Training is not enough without a shared operating system.

We help you define how AI work gets done, who owns what, and how quality is verified — so adoption scales without breaking things.

Prompt standards

Reusable templates, tone rules, and output checklists your whole team can use.

Evaluation loops

Rubrics and review processes that keep quality high as usage scales across teams.

Governance rules

Policies for data use, approvals, and escalation triggers that legal will approve.

Adoption metrics

Usage, time saved, quality lift, and cost reduction tracking across all teams.

Build Your Operating System Transformation Services

Process

From kickoff to measurable adoption in weeks.

Every engagement follows a clear path: understand your workflows, design the right sessions, train your people, and measure what changed.

Before the workshop

We don't show up cold. Every engagement starts with understanding what your teams actually do so training is relevant from minute one.

Stakeholder interviews to identify highest-value workflows
Audit current AI usage, tools, and pain points
Design sessions around real deliverables your teams produce
Prepare company-specific examples and exercises

After the workshop

Training doesn't end when the session does. We make sure what people learned sticks — and that leadership can see the impact.

Template library

Every participant gets a prompt and output library customized to their function.

Follow-up sessions

Optional office hours and Q&A sessions 2–4 weeks post-training.

Adoption report

Usage and impact data showing what changed after training.

Escalation path

Clear next steps to add governance, workflows, or ongoing enablement.

FAQ

Common questions about AI training.

Who should attend?

Anyone who does knowledge work: marketing, sales, research, operations, support, strategy. Sessions are designed by function so content is always relevant.

Do participants need AI experience?

No. We calibrate each session to the group's starting point — from teams that have never used AI to power users looking to level up their automation skills.

How is this different from online AI courses?

We train on your workflows, your data, and your tools. Participants build real deliverables during the session — not hypothetical exercises from a generic curriculum.

Can you train remote teams?

Yes. We run workshops both in-person and virtually. Virtual sessions include live labs, breakout exercises, and the same hands-on format as in-person.

What's the typical group size?

8–25 people per session for hands-on workshops. For keynote-style sessions we can accommodate larger groups, but lab exercises work best in smaller cohorts.

How does training connect to transformation?

Training drives adoption of the workflows and standards we deploy. Many clients pair training with our transformation services for roadmap, deployment, and governance.