The board has asked. A competitor just moved. You're 60 days from an investor call. You need a defensible answer — not a deck of guesses. We use your real artifacts to surface what AI would accelerate, and what it would expose.
They're interview-driven. They end in a slide deck with recommendations that could apply to any company in your sector. They feel credible in the room and sit in a folder three months later.
The real question isn't “should we do AI?” Everyone is doing AI. The question is: where would we amplify strength — and where would we amplify dysfunction — if we deployed today?
That question requires evidence, not surveys. It requires looking at what you actually have — your processes, your data architecture, your roadmap, your code — and telling you the truth about what's there. That's what this offering does.
The AI Readiness & Roadmap assessment uses the client's own materials — code, processes, roadmap, data architecture — to produce a clear-eyed picture of where AI would accelerate strength and where it would surface dysfunction.
This is not an interview-driven engagement. We don't ask your team what they think is ready. We look.
Most organizations believe they're further along this curve than they are. We tell you where you actually are — and build a defensible, sequenced path forward from there.
The productized entry point. Built, structured, and in active client engagements today. It delivers a prioritized action agenda — not a list of things to consider, but a ranked set of moves with clear rationale.
AI as a productivity tool for individual work
AI embedded in team workflows and processes
AI informing decisions at an operational level
AI operating autonomously as an agent within defined guardrails
A clear assessment of where AI would accelerate what's working — and where it would accelerate what isn't
A prioritized action agenda with sequenced, defensible next steps
A shared language for the AI conversation at the leadership level — evidence-backed, not narrative-driven
A framework your team can use to evaluate future AI investments against real organizational readiness
“The board has asked what our AI strategy is and we don't have a credible answer.”
“A new CIO/CTO/Chief Transformation Officer just came in and needs a defensible baseline in 90 days.”
“A competitor announced an AI initiative and the CEO needs a response — not a copycat.”
“We have an inherited AI program that's stalled or over-budget and we don't know why.”
“We're approaching an M&A close and the two organizations have wildly different AI maturity.”
Buyer levels — This engagement typically enters at the C-suite — CEO, COO, CIO, CTO, Chief Transformation Officer, Chief Data Officer — and is operated day-to-day with VP and Director partners.
A Fortune 15 healthcare organization was already working with PCG in a different capacity. Their leaders watched PCG deliver work at a speed and quality level that didn't match what they expected from a consulting team.
They asked: “How are you delivering Big 4-level work this fast?” The answer was AI-native delivery — using AI in the actual work, every day, not as a talking point.
AI Readiness & Roadmap was what they asked for first. The engagement gave their senior leadership team a framework — crawl, walk, run, fly — and a clear-eyed picture of where they stood. It changed the conversation internally about what AI-native transformation actually required.
This engagement became the foundation for a multi-year anchor relationship. Client name not disclosed per PCG confidentiality policy.
This certification represents a codified, third-party-validated operating approach to AI-native delivery — including the EDGE™ framework, workflow redesign methodology, and responsible AI use standards. It answers the question buyers are really asking: Is your approach sound?
AI Readiness & Roadmap is the natural entry point to the full PCG AI practice. Once you know where you stand, the next questions are governance and process — how do you operate AI responsibly at scale, and how do you change the way work actually happens?
The question isn't whether AI will transform your industry. It's whether you'll lead that or react to it.
One built on your real artifacts — processes, data architecture, roadmap, code — instead of interviews and surveys. Interviews tell you what your organization believes; artifacts tell you what's true. The difference is a defensible answer instead of a deck of guesses.
