Business Guide

Your team already has AI access.
Now give them a method.

Most teams use AI like a search box and get search-box results. iCRAFT turns AI usage into a repeatable capability: shared prompt patterns per department, a rubric for quality control, and governance guardrails that keep usage responsible.

Department prompt playbooks

One high-leverage iCRAFT prompt per function — copy, adapt, and standardize. Each is tagged with its engine.

The half-day team workshop structure

A proven 3.5-hour format for onboarding a team of 6–25 to iCRAFT. Runs with nothing but this website and any AI tool your company has approved.

Baseline (20 min) — Everyone writes a prompt for a real work task, scores it in the Practice Lab, and records the number. No teaching yet.
The framework (40 min) — Walk the six engines with the plain-English questions. One bad-vs-better example per engine from this site.
Engine rotations (60 min) — Pairs rotate through 3 stations: their department's playbook prompt, the Prompt Builder, and a free-choice Lab challenge.
Break (15 min)
Real-work sprint (45 min) — Everyone re-attacks their baseline task with the right engine. New Lab score vs. baseline is the visible ROI.
Team prompt library (20 min) — Each person saves their best prompt; the team nominates 5 into a shared "approved prompts" document.
Governance close (10 min) — Agree on the five rules below. Assign one prompt-library owner.

Prompt governance basics

Data rule — no customer PII, credentials, contract terms, or confidential data in prompts to public AI tools. When in doubt, redact.
Verification rule — Analytical and Instruction outputs used in decisions or external documents get a human fact-check. Name the checker.
Attribution rule — AI-assisted deliverables are disclosed internally; a human owns every output.
Library rule — high-performing prompts are saved to the shared library with the engine tag and last-reviewed date.
Tool rule — use only company-approved AI tools; new tools go through whoever owns security/compliance.

Responsible AI use, in practice

Human in the loop — AI drafts, humans decide. Especially for HR, legal, finance, and anything customer-facing.
Bias check — for hiring, evaluation, or customer-segmentation prompts, require "present both sides" and review for skew.
Accuracy over speed — the Transformation engine's rule applies company-wide: core facts must survive every reformat.
Regulated content — compliance-relevant outputs (contracts, policies, security docs) are drafts until reviewed by the accountable owner.
Skill over dependence — train the method, not tool tricks. Tools change; the six engines don't.

Train your team on iCRAFT.

Dr. Beza delivers team workshops, leadership briefings, and train-the-trainer programs for organizations adopting AI.