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Guides, checklists, and tools to help your business make smart AI decisions.
A week-by-week 90-day AI pilot plan that gets real results. Covers kickoff, data prep, build, integration, training, launch, monitoring, and the go/no-go decision.
Read guide →A plain-English AI acceptable use policy template — who can deploy AI, what data is off-limits, disclosure rules, and audit requirements. Adapt in 30 minutes.
Read guide →Estimate your AI implementation budget by company size, project complexity, and goals. Real benchmarks for consulting, model API spend, infrastructure, and ongoing costs.
Read guide →Audit every data source before AI rollout. Rate accessibility, completeness, quality, freshness, and governance on a 1–5 scale. Fix data first, AI second.
Read guide →Step-by-step AI implementation checklist for businesses. 28 essential steps from planning through governance, with notes on what trips most teams up.
Read guide →Score your business on AI readiness in 15 minutes. 25 questions across data, team, leadership, budget, and operations — with a clear score band and what to fix first.
Read guide →Run the numbers on AI ROI in 20 minutes. Worksheet covers labor cost displaced, error-rate gains, revenue lift, and full TCO — with formulas, examples, and what to flag to your CFO.
Read guide →Compare AI vendors side-by-side with a 7-category, 100-point scorecard. Includes the exact questions to ask, red flags to watch for, and how to weight scores for your business.
Read guide →Everything you need to know about hiring an AI consultant — what to look for, questions to ask, red flags to avoid, how to evaluate proposals, and how to manage the engagement.
Read guide →The essential questions to ask any AI consultant or developer before hiring them. Covers experience, approach, technology, pricing, and red flags — with notes on what good answers sound like.
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