What we do.
Most companies do not lack AI ideas. They lack an owner who has already built the thing, will tell them what not to build, and will stay accountable for the result. Kinetic Agentic provides that owner in two forms.
Three roles, one accountable executive
Fractional Chief AI Officer
For a leadership team that knows AI matters and has pilots, vendors and opinions — but no owner.
- AI strategy tied to the P&L. Where AI changes revenue, cost or speed in this business, ranked — and what to stop.
- Model and vendor selection judged on your own tasks, not on benchmarks.
- An agent operating model with real governance: which work moves to agents, with what human checkpoints, permissions and audit trail.
- An AI use policy your staff can actually follow, and the literacy a leadership team needs to make these decisions itself.
Fractional Chief Technology Officer
For firms whose technology must scale, pass diligence, hold sensitive data, or be rebuilt AI-native.
- Architecture and build discipline: tests, review as the only path to production, immutable audit records.
- Security proportionate to the data and the work: access controls, encryption, logging and vendor due diligence sized to what the system actually holds — and the judgment to know when an independently attested environment is required and when it is not.
- AI-assisted engineering with the guardrails that keep quality up as speed rises.
- Partner and team structure, onshore and offshore; technical diligence for investors and acquirers.
Fractional Chief Product Officer
For companies that need a new product, a new revenue line, or reports and tools their own clients value.
- Contextual product design from the company's own assets, users and constraints.
- Evidence before build: demand tests, pricing tests, a de-risking ladder.
- Clickable proofs in weeks, not quarters.
- A roadmap and metrics a board can read.
How a fractional seat typically runs. A standing cadence of two days a month to one day a week, on call between. The first thirty days establish the facts — a listening tour, a systems read, an opportunity map ranked by P&L impact, a model bake-off on your own tasks — and end with a ninety-day plan presented to the CEO or board.
Working sessions, built from your material
For leadership teams and boards. Half a day to two days. No generic deck.
- What AI changes here — and what it does not. The business, function by function, with the honest P&L view.
- The bake-off. The leading models and tools run on your own tasks, side by side, scored on correctness, speed, cost, how much babysitting they need, and whether a client would trust the output.
- The agent operating model. Which work moves to agents, where the human checkpoints sit, what permissions and audit trail are needed, and what governance your staff will actually follow.
- Board literacy. What directors need to understand to oversee AI well: the questions to ask, the risks that are real, the vendor claims to discount.