Start with a problem, not a technology. Look for workflows where your team is spending time on work that doesn’t require their judgement, the repetitive grind that AI can absorb. Don’t try to boil the ocean. Pick one use case, run a small pilot, and learn from it before scaling.

Not sure which problem to start with? That’s exactly what MindFrame’s AI assessment is designed to uncover. Read more about AI Readiness in our free guide.

AI readiness isn’t primarily about technology, it’s about clarity, ownership and culture. Ask yourself: Do we know where AI could help? Is someone responsible for figuring this out? Is our team open to change? If you can answer yes to those, you’re more ready than most. Check out our AI Readiness guide to see where you stand.

The failure rates are staggering: Over 80% of AI projects fail - twice the rate of IT projects without AI (RAND Corporation). But here’s the key insight, the problem isn’t the technology. Companies that skip the discovery work - figuring out where AI actually fits - end up wasting time and money on the wrong things. That discovery work is what our assessments are built around - so you don’t become one of those statistics. Read more about why most AI pilots fail before they start.

Strategy is figuring out where AI fits and what to prioritize. Implementation is building and deploying the solution. Many companies jump straight to implementation without doing the strategy work first, and 88% of AI proof-of-concept projects fail as a result (CIO.com). The companies that succeed invest in discovery first: mapping workflows, identifying quick wins and building a realistic roadmap before writing any code. Our assessments identify your highest impact opportunities and outline an action plan that you can execute immediately.

It depends on the complexity, but companies that get it right move faster than you’d think. 74% of executives report achieving ROI within the first year (Google 2025). The key is starting with quick wins - opportunities you can execute in 30-90 days - rather than trying to transform everything at once. Our assessments identify your highest impact opportunities and outline an action plan that you can execute immediately.

Start by addressing fears directly because many employees worry AI will replace them. Be clear about how AI will change their work, not eliminate it. The most successful implementations are hybrid. AI handles execution at scale while humans provide judgement, strategy and creativity. Involve your team early, give them opportunities to experiment and celebrate quick wins.

We help companies figure out where AI fits and what to do about it. We start with assessment and discovery - mapping your workflows, identifying quick wins, and building a realistic roadmap. Then we help you prioritize and plan. If you need implementation support, we can help with that too.

We work primarily with small and mid-sized companies - typically 25-500 employees - that know AI matters but don’t have the budget or bandwidth to figure it out alone. Our clients are usually led by busy operators who want clarity, not hype.

We’re former executives and operators who’ve built products and led transformations at companies from early-stage startups to Apple, Adobe and Autodesk. And we’ve structured our firm to bring executive level thinking to companies that don’t have enterprise budgets.