Operating transformation for PE-backed companies
Digital and AI as the operating model. Not as technology projects.
DigitalAlpha rebuilds how companies operate, with AI as the way the work gets done rather than a tool bolted on. We redesign the work, build it production-ready, and hand your team the keys.
Strategy is not the operating model. We build the operating model.
Why DigitalAlpha
Alpha is the return earned above the benchmark. We named the firm for the standard we hold the work to.
Financial engineering is well understood and broadly competed away. Every mid-market fund knows how to structure an add-on and run a dividend recap, so none of it produces returns above the benchmark anymore. What is not competed away, because almost nobody does it well yet, is rebuilding the operating model around AI. That is the open field. DigitalAlpha is the return earned in it.
Above benchmark.
Returns measured against a risk-adjusted benchmark, not activity or output.
Months, not years.
Payback on some initiatives in as little as six months.
Underwritable.
Value creation concrete enough to put in the model before you commit.
DigitalAlpha is not a number you hit once. It is a slope you hold.
The shift
Most companies bought AI apps and kept the company they already had.
AI tools in every function, a little faster in a hundred small places, and exactly the same in every place that decides the multiple. Most transformation stalls because it lives next to the business instead of inside it.
Today’s reality
- AI apps in every function, the operating model unchanged
- Strategy decks that gather dust
- Pilots that demo beautifully and never reach production
- Capability rented from vendors, not owned
- Years to ROI, if ever
The DigitalAlpha shift
- Operating model, not AI apps
- The workflow rebuilt, not the tool added
- Production from day one, at deliberately small scale
- Your team holds the keys
- Payback in months, tied to a named operating outcome
The operating model
Four parts. Two face inward, two face the customer.
Workflows.
The unit of the rebuild. What information comes in, what the system may do, what good looks like, who checks it, who owns it. AI runs the routine pass. Your people handle the exceptions and own the result.
Customer journeys.
Your customers never see your workflows. They feel them. The same rebuild that changes how work moves inside the company changes what the customer experiences outside it.
Measurement.
Not more dashboards. A few honest numbers that prove the model works, wired down to the people held to them. Numbers that count what actually happened, not what was merely available.
Business model.
When the cost of routine work falls toward zero, pricing built on seats and hours leaves value on the table. The frontier is charging for the outcome.
How we work
The DigitalAlpha operating model gets built one workflow at a time.
Start with one high-value business problem.
One workflow, chosen because the value is large and the work is describable. Wedge discipline is the difference between a transformation that compounds and one that fragments.
Redesign the work around AI.
We do not automate what we cannot describe. First we write the workflow down until a stranger could run it. Then we decide what AI does inside it.
Build production-ready, not prototype theater.
Real data, real systems, real edge cases, deliberately small scale. The first production increment of the operating model, not a demo. Eight to twelve weeks.
Your team gets the keys.
The workflows, the logic, the data, the know-how. Use any vendor and any model. The operating model itself belongs to you. Your people run it, extend it, and build the next one.
The first rebuild is the hardest. The fifth is faster. The fifteenth is routine. That is how one workflow becomes an operating model, and how the operating model shows up in the multiple.
Where do you stand
Three questions to ask about any AI effort in your building.
Ask the team to draw the workflow it changes.
Not the tool. The workflow. If they can draw it, name its owner, and tell you which number moves when it works, they are rebuilding an operating model. If they reach for a product demo instead, you bought an app.
Ask what has to be rebuilt if the pilot works.
If the answer is “most of it,” you are funding theater.
Ask what happens if your main AI vendor doubles its price tomorrow.
If the answer is “we have a hard but real path to switch,” you own your operating model. If the answer is “we are trapped,” you do not.
Who we work with
Mid-market companies inside private equity portfolios, and the funds that own them.
Typically $50 million to $500 million in revenue: the companies enterprise AI vendors ignore and the big consulting firms over-serve. We work with the PortCo CEO who owns the P&L, the operating partner who owns the value creation plan, and the fund that wants the operating improvement to show up inside the hold.
Founder
John Williamson
Founder, DigitalAlpha
John is a digital and technology executive with more than 30 years leading transformation at scale across financial services, telecommunications, media, and automotive. He most recently served as Chief Digital, Innovation and Technology Officer at TBC, where he modernized the technology foundation and reimagined customer experience across its automotive service brands. Earlier he held senior leadership roles at Comcast and Verizon, leading major shifts to digital channels and large-scale e-commerce, CRM, and customer experience programs. He began his career in digital product and e-commerce at J.P. Morgan, Bear Stearns, and Citigroup. He holds an MBA from Columbia Business School, a BA from the University of North Carolina at Chapel Hill, and a U.S. patent for machine learning in global equity portfolio construction.
Contact
Get in touch.
If you’re exploring how AI can change the way your business operates, let’s connect.