Apply Fully Powered AI technology to turn operational priorities into reusable AI workflows inside your portfolio companies. Capture the know-how they already have. Establish the capabilities they need next. Start with one implementation and expand where useful.
Built for the AI you already use.
Claude
Copilot
Gemini
For operating partners, value-creation teams and portfolio operations leaders, the job is turning an agreed priority into something a management team can use.
Choose a company, an operating priority and the person responsible for the work. We apply our technology to a defined capability, with the company's context, review criteria and decision points built in.
That might mean a more complete sales-to-delivery handoff, a way to prepare an operations review or the foundations for a new marketing function.
Fully Powered AI brings its own technology and the implementation work to make it fit. Existing expertise and missing capabilities have different starting points.
Fully Powered Studio turns a company's SOPs, informal routines and expert know-how into reusable AI workflows. Preserve the distinctions its experienced people make and put them into the preparation and checks.
Illustrative example · Sales to delivery
A services company captures how its operations lead checks a signed scope. The workflow prepares a delivery brief, highlights missing commitments and identifies exceptions for the lead to resolve before work begins.
We adapt general methods and reusable workflow foundations to a company's industry, goals and context. A new capability needs an accountable owner and a useful output to work toward; it can start without an existing SOP or in-house expert.
Illustrative example · An operations-review capability
Approved team updates feed a draft review brief: open actions, unresolved questions and decisions needed. Managers check the evidence, correct the brief and choose the next actions.
Review the work with the company that will use it. Expand where another implementation has a clear purpose.
Agree the inputs, prepared output and checks with the company's owner of the work. We build with invented data. Their person runs real work in their own approved workspace while we observe, without receiving or retaining copies of those records. Review the misses and refine the capability.
The team uses the workflows in ChatGPT, Claude, Copilot or Gemini, according to its setup and permissions. People review outputs and make the operating decisions.
General foundations can be adapted for another company. Private captured know-how is used only within the company's agreed access and sharing boundaries. Each implementation defines its context and access. The agreement sets out rights to use and adapt the deliverables and included technology.
Begin with a focused conversion, a direct implementation, a missing capability or ongoing improvement. A sprint is one option.
For work inside the investment firm itself, see Finance & investment.
We'll identify where our technology fits, who should own the work and what a useful first implementation could cover.