Who is building it
AIOG is a company in the making. It is unfunded. Nobody has been paid. The founding members below are building CAIO Playbook because they have each been the person asked to prove what AI returned, and none of them had a good enough answer.
The people
Every line below describes work completed before this product existed. Titles are listed where they are relevant and left out where they are not.
Accountable for the product and the company
Enterprise architecture
Thirty years as an enterprise architect and technology executive. Supported more than 300 private equity technology due diligence transactions. Thirteen years at a commodities exchange whose revenue went from under $1M to close to $1B. Holds a patent. MBA.
Commercial and adoption
Twenty three years running her own companies. Founder of a business coaching practice whose clients report revenue increases of 18 to 142 percent. Fractional chief revenue officer. National columnist on how businesses actually change the way they work.
AI, data and governance
AI and Data Director at a US bank. Twenty years transforming global financial institutions under regulatory scrutiny. Led a $100M data transformation and delivered $35M in new revenue at a Big Four firm. Former IBM Associate Partner. MBA, PMP.
AI enablement
Head of Agentic AI and Automation at a SaaS company, after twenty years in support and service delivery. Cut case backlog 60 percent, brought MTTR from six to eight weeks down to under two, and took NPS from 65 to 100. Founding member of an AI and ML centre of excellence serving more than 300 business units.
They helped build and shape CAIO Playbook
Technical resourcing
Twenty years in resource management and technical hiring, currently in resource management at Tech Mahindra after leading talent acquisition at Bank of America and CA Technologies. He finds and organises the engineering capacity this gets built with, which for an unfunded team is the difference between shipping and not.
Program management
Twenty years running delivery for Amazon, TCS, Cognizant and Dell. Senior program manager, PMP and Scaled Agile, with a record of multi business unit portfolios and the steering committees that decide what gets resourced and what gets cut. Here he owns what gets built next and when it lands.
Change and communications
Twenty years in marketing and communications, thirteen of them at Ogilvy running data driven programs for national brands. Has led an institutional rebrand and the adoption of new operating systems inside organisations that did not want to change. Part of the original group, and in the Booth cohort.
Platform engineering and AI governance
Vice President of Software Engineering for global payments platforms at JPMorgan Chase, where he led a $25M AI efficiency programme for fraud and sanctions screening and held six nines availability. Morgan Stanley and SWIFT before that. His working life is putting auditability and SLAs into production systems, which is most of what this product is. In the Booth cohort.
How the work began
An executive asks what the company got back for its AI investment. The person accountable for adoption has activity metrics, a working demo and a good story, and no way to prove any of it. Pad had watched that meeting from the diligence side of hundreds of technology transactions. Amit had watched it inside global banks. Gary had watched it as the person being asked. Michelle had watched it in the businesses she coached.
They met in 2026 in the University of Chicago Booth Chief AI Officer program, along with Nancy Schieber. Chief AI Officer is the fastest growing seat in the C-suite. IBM's 2026 CEO Study found 76 percent of surveyed organisations had one, up from 26 percent a year earlier. The room was full of people about to hold it or already doing the job without the title. What became clear there was that the job had no instrument. Technology was moving faster than anyone's ability to govern it, and the standard answer was another framework slide.
So the group started writing a playbook instead. A method for driving enablement and adoption across an organisation. The method needed somewhere to live, so they built one. Software to oversee AI projects and initiatives, track how far each department has actually moved, and hold spend and return against the organisation's stated north star.
Nancy stepped back from the day to day for other commitments and stayed in touch. Anil Kumar Bellamkonda and Sai Vedantham joined to build it, neither of them from the program. Aakash Handa, also in the Booth cohort, joined later still.
Where this actually stands
Unfunded. Nobody has been paid. It is being built toward customers and revenue, and we would rather say that plainly than imply otherwise.
It runs today. Access is by conversation while we work with our first design partners. Expect gaps in reporting and integrations before you expect polish.
It exists and we run it. We are refining it against real portfolios rather than in the abstract, which is why we want design partners.
If that is the stage you want to get involved at, contact us.