Manufacturing AI Advisory

Plan AI you can trust, then prove it on the line.

A hands-on consulting practice that helps plant and IT/OT leadership design and deploy secure AI across production, quality and maintenance, from feasibility study to full rollout.

Laptop showing an AI production-planning co-pilot generating a monthly production report
Quality gates at every stage A measurable business case Working pilot in 4–8 weeks
3
Phases: Assess & Design, Pilot & Validate, Scale & Govern
4–8 wks
From scoping to a working pilot on one line
7
Manufacturing AI programs ready to scope against
From pilot to production

Three phases. Quality gates at every step.

01

Assess & Design

A scoping call and a short plant walk-through to pick one line, one asset or one workflow, define success metrics, and confirm data access.

02

Pilot & Validate

A working pilot on your line within 4–8 weeks, validated against the agreed metrics with a measurable business case.

03

Scale & Govern

Roll out across lines and plants with qualification protocols, audit trails and change-control governance.

How we work

How we work with plant leadership.

Validated Before Scaled

In regulated plants, trust is earned through qualification protocols, audit trails and traceability before a pilot touches live production.

Execution Over Slides

We prioritize working pilots on the actual line, with measurable OEE, quality and downtime impact, over strategy decks.

Engineering Partnership

We embed with plant IT/OT and quality teams, transfer capability and build long-term delivery discipline, not dependency.

Architecture

Everything runs inside your firewall.

Cameras and sensors feed edge gateways or line-side compute. Models, the copilot and the audit log live on your plant server or in your private cloud. Alerts and work orders flow back into the systems you already run.

Public AI services: nothing crosses this line. No server-side logging of proprietary parameters, no training on your production data, no third-party broker in the pipeline.

Data residency

Deployed where you decide.

AI that runs within your firewall, with your total control. On-premise or private cloud is your call, and we engineer for either.

Edge gateways

Inference next to the camera or sensor, for sub-second decisions at the station.

On-premise

Line-side compute

One compact node per line, running inspection, counting and monitoring together.

On-premise

Private plant servers

Central models, dashboards and the copilot, inside your own network and under your own IT policies.

On-premise

Private cloud

Your own cloud tenancy, inside your security perimeter, when that suits your IT strategy better.

Private cloud
Trust by design

Validated before scaled.

Privacy by Architecture

We engineer privacy into the foundation, not as a feature. Where your data lives is always your decision.

Responsible Innovation

Model accountability, cybersecurity and change-control governance are built into every deployment, audit-ready by design.

Built for the Shop Floor

We engineer for edge hardware and private infrastructure because that is where production happens.

See what private AI can do for your plant.

Book a scoping call today.

Book a scoping call