Physical AI advisory

Make the deployment decision before buying the machine.

Adoption and deployment belong in one decision path: find a useful job, specify it, prove it on-site and design the operation around it.

Discuss an assessment
Decision path

Four decisions. Each can stop the next spend.

The work reduces uncertainty until the deployment decision is defensible. It is not a requirement to buy every stage.

01

Evaluate

Where could a machine carry useful operational load?

A ranked set of site and task opportunities—including the ones to reject.

02

Design

What exact job, platform and operating model should be tested?

A specified mission, success measures, safety boundaries and deployment design.

03

Prove

Does it work here under real operating conditions?

A measured site pilot and a clear go, adjust or stop decision.

04

Operationalise

What has to exist for the service to run every day?

Integration, ownership, response paths, maintenance and rollout gates.

Scope

Start where the uncertainty is.

If the use case is already clear, begin with platform selection or a pilot design. If the business case is weak, stop there.

01Opportunity and site assessment

Tasks, routes, constraints and a ranked opportunity map.

02Machine and vendor selection

Requirements, shortlist, structured trials and commercial trade-offs.

03Business case

Full deployment cost, measurable benefit, risk and sensitivity.

04Pilot and deployment design

Mission, site runtime, integrations, safety boundaries and ownership.

05Production operating model

Monitoring, incident response, maintenance, reporting and rollout gates.

Start with one site

Tell us the site and the work.

We will tell you what is worth testing—and what is not.