95% of GenAI pilots show zero measurable P&L impact.
THE METHOD
Our answer to that number.
The model usually works. What breaks is everything around it: strategy, data, governance, and adoption.
The Presidio AI Blueprint shows where AI creates value, how organizations should build and govern AI, and how to scale it safely. Start anywhere.
Clarify
Find where AI creates value. Prioritize the highest-impact cases.
Realize
Ship AI that works for you. Governed, deployed, built for your data.
Scale
Roll AI out across your organization without losing control.
Foundation
Data, infrastructure, and security hold up the building.
Change management
The people who have to use it daily are the changemakers.
CORE THEMES
The six questions every AI program runs into.
The governance gap
You can't govern AI faster than you deploy it, so the question is how you contain the risk without slowing down. Board accountability, policy architecture, and clear decision rights are what drive successful governance models.
From pilot to production
Plenty of POCs work out of the box, but almost none make it to production to a point where the business can rely on them. Getting to production takes a proven method, accelerators, and organizational decisions most organizations avoid.
Making the business case
Ninety-five percent of pilots show no P&L impact. This is where we put numbers against that: utilization, cost structures, and what CFOs ask before they fund the next phase of implementation.
Security in the age of agentic AI
Agents are non-human identities with privileged access executing at machine speed. Most organizations can’t yet see or control what those agents are permitted to do.
Data trust and private AI
AI is only as good as the data behind it and the control plane governs what each agent can access, sovereignty and consent included.
The human layer
Technology shifts faster than people can learn. Adoption, change management, and the reality that the team just mastered a model that is replaced by another in six months is something all organizations must face.
REPORT
The analysis behind the strategy.
AI Maturity Depends on More than Technology Capability: CIO Perspectives
Available now
Read the Gartner report: Our perspective.
An independent look at why most enterprises can’t scale AI, and what separates the 17% that can.
- Only 17% of organizations have high AI maturity. Gartner shows what those capabilities are.
- Governance and literacy gaps upstream are what stall AI at scale.
- What co-leadership between CIO and CxO takes to turn pilots into business value.
Voices
Meet your AI experts.
“The conversation has shifted from ‘Should we use AI?’ to ‘How do we change how we run the business to take better advantage of AI?’”
Rob Kim
CTO
“AI made inspiration the easy part. The hard part is the discipline to turn a promising idea into something that scales and sticks.”
Ali Tehrani
SVP, AI Strategy & Enterprise Architecture
“Most companies aren’t short on AI agents. They’re drowning in them. Value compounds only when those agents share context, governance, and a plan.”
Caitlin Schuman
AI Strategy & Advisory Consulting
“Security shouldn’t slow AI down. Done right, it’s what lets an organization move fast and embrace the digital future fearlessly.”
Justin Tibbs
VP, Cybersecurity
Ask about one of our workshops.
Two days with your team, focused on where AI creates value in your business. You leave with a prioritized set of use cases, a view of what’s possible, and a clear first move.