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What we do

Five capabilities. One question: will it change an outcome?

Plerosis works where business strategy, process and applied AI meet. Most engagements start with one capability and move into the next only when the evidence supports it.

01

AI Discovery & Opportunity Assessment

Find the opportunities worth pursuing before money is committed. We map the process and its economics, establish a baseline, and rank candidate interventions by value, feasibility, data readiness and risk.

You receive
A prioritised opportunity register, the baseline and assumptions behind each estimate, and a recommended next step for each opportunity, including “don’t pursue”.
Fits when
You know AI should matter to the business but not yet where.

02

AI & Automation Proofs of Concept

Test the riskiest assumption cheaply and quickly. Success criteria, scope and budget are agreed before anything is built, and the result is judged against them.

You receive
A working proof of concept, a measured result against the agreed criteria, and a clear recommendation to stop, refine or implement.
Fits when
An opportunity looks promising but the case for investment is unproven.

03

Revenue & Process Intelligence

Use your own data to find where revenue leaks, work stalls or decisions are made blind, then target automation and analysis at those points.

You receive
An analysis of the selected process or commercial flow, the quantified friction points, and the interventions that address them.
Fits when
Performance is below expectation and the cause is unclear.

04

Implementation & Integration Management

Turn a validated intervention into a working system. We define requirements, coordinate specialists and suppliers, manage integration and testing, and plan adoption.

You receive
A delivery plan, managed delivery, and handover with measurement in place.
Fits when
The case is proven and the work now is delivery.

05

AI Governance & Controls

Build data, risk, security and accountability controls into the intervention from the start, sized to the risk rather than added at the end.

You receive
A control framework for the intervention, clear ownership, and monitoring that shows whether it behaves as intended.
Fits when
AI touches regulated activity, customer outcomes or sensitive data.

Not sure which applies? Start with the problem.