Deployment support

Diagnose. Recover. Stabilize.

One program moves a costly Physical AI deployment from evidence to recovery and reliable operation. Start with a paid diagnostic. Proceed only when the problem, intervention, economics, responsibilities, and acceptance test can be defined.

Stage 1 · Deployment diagnostic

The diagnostic begins after scope and data access are agreed. It fits a defined robot workflow entering a pilot, acceptance test, or live operation. Timing depends on site access, operating windows, and available evidence. Final scope, fee, payment terms, and delivery-cost boundaries are confirmed in writing before work starts.

What you receive

• Deployment baseline: the task and environment boundary, available measurements, dependencies, and evidence gaps.
• Technical findings: observed faults, likely causes, and tests needed to confirm them.
• Prioritized action plan: proposed interventions, dependencies, responsibility, and indicative effort.
• Pilot acceptance checklist: agreed metrics, representative test conditions, review owners, recovery, and handover requirements.
• Decision review: a walkthrough with your team covering next steps and remaining uncertainty.

See a sample report outline

Qualification before a proposal

This is most useful when a Physical AI or intelligent-robot product has a defined workflow, a responsible owner, access to operating evidence, material economic impact, a budget path, and a deployment decision within 90 days. Common starting points are integration blockers, inconsistent task completion, recurring stops, unsafe or slow recovery, acceptance delays, and unclear service requirements.

This practice does not provide general factory optimization or open-ended maintenance staffing. Industrial robotics work is accepted when it tests or improves a robot product, deployment method, or reliability model relevant to Physical AI.

A high-level description is enough for the first conversation. Detailed logs, layouts, and commercial information can follow through an agreed channel once scope and confidentiality requirements are established.

From deployment diagnosis to implementation

The diagnostic is a standalone engagement. Your team can implement the findings, or we can scope a production-recovery program together. If the problem is already understood, we can start by reviewing your evidence and defining the intervention directly.

Stage 2 · Deployment-recovery program

For a bounded robot workflow with an agreed baseline, the planning starting point is a three-month program. Site access, engineering complexity, partner capacity, and production windows determine the final schedule.

Phase	Work and deliverable	Decision gate
Define	Confirm root-cause evidence, scope, owners, cost, and acceptance tests	Approve the intervention and production window
Implement	Execute agreed changes, review test evidence, and track unresolved issues	Confirm readiness for a controlled production trial
Validate and hand over	Compare results with the baseline under agreed conditions; document recovery procedures and remaining issues	Customer acceptance and handover

I lead technical scoping, review, and coordination. Where a project needs additional controls, vision, robot, or local field specialists, the proposal identifies the required roles and confirms availability before commitment. Your team owns site access, production authorization, and customer acceptance. Equipment suppliers retain the responsibilities agreed in their contracts.

Equipment purchases and major third-party work are separately identified. Every proposal defines included assets, support hours, change control, payment milestones, and acceptance responsibilities. Operational targets are agreed against evidence and the conditions we can control.

Discuss a deployment recovery program

Stage 3 · Reliability support after handover

For teams that need continuity after implementation, we can agree a three-month support block covering scheduled reliability reviews, a prioritized issue backlog, and bounded remote troubleshooting. Covered assets, response windows, included hours, site visits, and escalation responsibilities are written into the scope. An extension follows a review of the remaining need.

Discuss ongoing support

Questions before we start

What does it cost?

The fee depends on the process, complexity, site access, and specialist work required. Share a brief to establish fit; scope, deliverables, payment terms, and fees are agreed before a paid engagement begins.

Can the work begin remotely?

An initial review can use your description and available data. The proposal will identify any on-site work required and the access needed to complete it.

Do you guarantee a particular savings figure?

Any performance target needs an agreed baseline, operating conditions, and a technically supportable intervention. The diagnostic makes those assumptions visible before implementation commitments.

What if we already know the problem?

We can discuss a directly scoped intervention. The first step is to confirm the evidence, responsibilities, and acceptance criteria rather than repeat work your team has completed.

What if the use case is not yet defined?

The core program is not ready to start. First select a customer workflow and identify the decision that field evidence must support. A short introduction can establish whether there is enough scope for a paid diagnostic.