Private equity

The platform is the thesis.

Value creation plans assume the software can move. Often it cannot, and nobody finds out until the second year of the hold. We modernise the platform, install governed AI delivery inside it, and report the change in numbers an operating partner can read without a translation layer.

Where it goes wrong

The diligence said the tech was fine.

Nobody can see inside the platform.

Post-acquisition, the technical picture is whatever the incumbent team says it is. There is no baseline, so there is no way to tell whether delivery is improving or the team is simply busy.

The roadmap depends on a rewrite.

Every plan routes through a replatform that keeps slipping. Rewrites are the most expensive way to buy optionality and the least likely to land inside a hold period.

The portfolio company cannot hire the depth.

Senior design and platform engineering are the hardest roles to fill and the easiest to lose. A six-month search is a quarter of the value creation window.

AI is a line item, not a capability.

Licences got bought. Individual output rose. Delivery frequency did not move, because the constraint was never typing speed.

Board reporting is assembled by hand.

Numbers arrive as a slide built the week before the meeting, which means they cannot be checked and cannot be trended.

A roll-up needs one platform, not four.

Integration is scoped as a migration, then stalls when the platforms turn out to share less than the thesis assumed.

What we do

Four things, in the order they usually matter.

Technical audit with a plan

Fixed scope, fixed price. We find the real constraints across architecture, test coverage, dependencies and delivery process, and write a prioritised plan with tradeoffs. No obligation to continue.

Platform modernisation

Not a rewrite. Test coverage first, then a smaller dependency surface, then modular boundaries. The team keeps working in the repository they already have. How that runs.

Governed AI delivery

AI delivery installed as rules, skills and checks in the portfolio company's own repository, with a traceable line from intent to release. See the mechanism.

Embedded design and engineering

Senior people inside the portfolio company's team, in its repository and standups, without the six-month search. Scale up when the plan demands it, down when it does not.

Evidence

Work that maps to a hold period.

These are enterprise and founder engagements, not portfolio mandates. They are here because the shape of the problem is the same: an existing platform, a fixed window, and a number that had to move.

425s to 127s

Booking time on an enterprise travel platform, alongside NPS 19 to 54. Deem

40%

Fewer dependencies on a production codebase, with meaningful test coverage generated in a day and the engagement paying for itself within one quarter. Innovative IDM

$3M raised

After launch, from zero to a production MVP in four months across web, mobile and PWA. Gritwell

Fit

Where this works, and where it does not.

This works when

  • The portfolio company runs a real software platform, not a website
  • The value creation plan depends on shipping something
  • There is an engineering team to work alongside, however stretched
  • Someone wants the delivery number measured rather than asserted
  • The hold has more than two quarters left

Probably not a fit

  • You want engineers by the seat rather than an outcome
  • The plan is a full replatform and the date is already fixed
  • The company has no engineers and no intention of having any

Questions

What operating partners ask.

Most of what slows a portfolio company down is structural: a platform that resists change, no test coverage, and a delivery process nobody has measured. Those are addressable in quarters, not years. We baseline the current state from the company's own Jira and Git history, fix the largest constraint first, and measure the change against that baseline rather than against a promise.
We build. The same team designs the system and ships it, embedded in the portfolio company's repository, standups and CI. The output of an engagement is running software and a documented decision trail, not a deck.
Both, with different reporting. The work happens inside the portfolio company alongside its engineers. The reporting is built so an operating partner can read it without a translation layer: cycle time, delivery throughput, and what changed since the baseline.
It stays. We work inside your repository, your CI pipeline and your cloud, so the platform improvements, the test coverage and the governance layer are yours by construction. Nothing is held in an Enspirit system that has to be handed back.
Standardisation is a design problem before it is an engineering one. We start by mapping what the platforms actually share, which is usually less than the thesis assumed, then sequence the integration so the highest-value common surface lands first rather than attempting a single migration.
A short, fixed-scope audit is the usual first step, and it can start within weeks rather than after a procurement cycle. It produces a prioritised plan with tradeoffs, which is enough for a sponsor to decide whether a larger engagement is worth funding.
Private equity

Have a portfolio company where the tech is the constraint?

Start with an audit. Fixed scope, fixed price, a prioritised plan at the end, and no obligation to continue.

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