AI Training

From casual AI habits to a real company capability.

Structured training for leadership and teams — practical tool use, safe practices, reusable workflows, and adoption you can actually measure. Not a generic productivity webinar, and not a promise about hours saved we can't back up.

Four matte-black forms of descending size connected by a single continuous thread, representing one consistent training standard running through every level of a company

The Gap

Self-taught AI use and disciplined AI use are not the same skill.

Most companies are running entirely on the first one. A few employees figured out prompting on their own; nobody decided what's safe to share, what should stay a human's job, or how anyone would know if it's actually working.

  • Every employee prompting differently, with no shared standard
  • No one checking outputs before they're trusted
  • No policy on what's safe to put into which tool
  • No way to say whether any of it is actually helping

What Training Actually Covers

A curriculum, not a keynote.

Every session is built around your team's real tools and real tasks — not a generic "AI for business" deck.

  • Choosing the right tool and model for the task
  • Prompt and context design, and using tokens efficiently
  • Grounding work in trusted material instead of the model's memory
  • Checking outputs and catching confident errors before they ship
  • What should — and shouldn't — be automated
  • Reusable workflows and templates, not one-off prompts

How We Measure Whether It Worked

What we track — never a number we promise in advance.

Adoption

Who's actually using the sanctioned tools weekly, not just who attended a session.

Task-level change

Specific, named workflows that got faster or more consistent — logged before/after, not estimated.

Less unsanctioned use

Fewer confidential pastes into consumer tools, tracked through reports and spot-checks.

Output confidence

Whether people catch bad outputs before they ship, sampled periodically.

Formats

Built to fit how your company actually operates.

Executive briefing

90 minutes. The exposure and risk picture, ending in a decision on direction — not a sales pitch.

Leadership workshop

Half a day. Ends with a departmental rollout plan your managers can actually run.

Employee workshops

Practical tool fluency plus a one-page acceptable-use card people actually keep.

Department-specific sessions

Sales, support, ops, or any team — 3–5 real workflows changed, working through your actual tasks.

Policy & governance orientation

What your company's AI policy actually says, explained in plain language.

Ongoing enablement

Office hours and standing support as tools and workflows keep changing.

Why Trust Us

Systems beat tools — including for how people learn to use them.

The same belief behind every Design Delulu system applies here: a repeatable standard beats ad-hoc habits. This is real, deliverable work today — training doesn't carry the infrastructure dependencies a full private AI implementation does.

  • 20+ years of systems and operations experience
  • Sessions built around your team's actual tools and tasks
  • Measurement built in from the start, not bolted on after
  • No productivity numbers promised without a stated method
More About Eric →

FAQ

Questions, answered.

How do we train employees to use AI safely?

Role-specific sessions covering what's safe to put into which tool, how to check outputs before trusting them, and a short acceptable-use card people actually reference — not a one-time slide deck.

How do we measure whether AI training is improving productivity?

By tracking specific, named workflows before and after, weekly usage of the sanctioned tools, and a reduction in unsanctioned use — not by promising a productivity percentage up front.

What's the difference between an employee teaching themselves AI and formal company training?

Self-taught use is inconsistent and often unsafe with company data. Formal training builds a shared, repeatable standard across the team — the same tools used the same safe way, with a policy behind it.

Do you train on a specific AI tool, or AI use in general?

Both — general skills (prompting, context, verification) that transfer across tools, plus role-specific workflows built around whatever tools your company has actually sanctioned.

Works Well With

Training lands best with something real to train on.

About the Author

Eric Barker

Eric Barker is a former Chicago agency owner with decades of experience in website design, SEO, branding, content strategy, and digital marketing, and now helps businesses build revenue-generating growth systems — and the training that makes internal AI adoption actually stick — through Design Delulu.

Ready to make AI use a company standard, not a habit?

The first call is about your team, your tools, and what training would actually look like — not a generic pitch.

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Send a message or book a call. No pressure, no jargon — just an honest conversation about what training would fit your company.

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