Most companies are spending on AI. Very few can show what they got for it.

We find what's actually costing you, prove it out before you scale, and operationalize only what earns its place.

The gap between AI spend and AI results is now the norm — even at the top

Among the world's 2,000 largest companies, two-thirds still can't show a measurable productivity gain from their AI investment, and a quarter have paused or scrapped deployments outright.

If the companies with the deepest pockets can't buy their way to results, the problem was never budget. It's that almost nobody stops to ask which specific piece of the business is worth changing — and proves it before spending.

Source: Cognizant Research, "Closing the AI execution gap," 2026.

No need too small

It usually looks like something small

A technician sits in the truck for eleven minutes reconstructing what the last tech did, because the notes are in three places and none of them are complete.

A quality engineer spends her Thursday rewriting a deviation report due to formatting and structure issues - not content.

A service contract lapses because the renewal sat in someone's queue during a busy week, and nobody found out until the customer called a competitor.

A loan officer works a pipeline she can't see the bottom of, so the follow-ups that would have closed happen a week late or not at all.

None of these show up on a P&L line. All of them are margin.

Stand behind it

We build from inside the work, not from the sidelines

Most AI advice comes from people who have never had to run the operation they're advising on. Mare & Oak is built the other way around — on the experience of owning the roadmap, shipping into production, and answering for the result when it mattered.

That experience is the foundation the firm stands on. Its founder spent a decade building the software businesses actually run on — leading a product portfolio across workflow, contact-center productivity, and AI, helping steer a quarter-billion-dollar pipeline and shipping platforms now in use on five continents. Mare & Oak brings that standard — built, shipped, and measured — to problems the size of yours.

How we work →

Say what you see, kindly

We're not here to sell you AI

You almost certainly don't need another platform. Microsoft, Google, OpenAI, and Anthropic have built the capability, and whichever one you're standing on is probably fine.

What's missing is the part nobody sells: knowing which piece of your operation is worth changing, proving it out before you scale, and making the change hold year over year.

That's product work. It happens to use AI right now because AI is currently the best instrument for it.

The instrument will change. The work won't.

Where we've gone deepest

We've built the most in four industries, so we walk in already knowing the workflows, the constraints, and the words your team uses. That depth comes from specializing — not from narrowing who we'll help. If your work lives somewhere else, tell us about it and we'll tell you honestly where AI can and can't move the needle.