A contractual advisory offering for manufacturers navigating the AI journey — an honest readiness picture across IT and OT, an executable roadmap, and AI that is responsible, auditable, explainable, and secure at the forefront.
Four patterns we see across plants, supply chains, and service operations under pressure to "do AI" — each an argument for starting with advisory rather than procurement.
The vision demo wowed the ops review. Two years on it still watches one line at one plant — MES integration, guardrails, and unit economics were never scoped.
Engineers paste process specs into public chatbots; buyers draft supplier terms with them. Your process IP is leaving the building, ungoverned.
Customers, auditors, and regulators are asking where AI touches quality and safety decisions — questions with no owner and no evidence trail.
Decades of IT and OT grew apart: ERP here, MES there, tribal knowledge on the floor. Use cases get funded before anyone checks the data can carry them.
Four domains where AI moves real manufacturing numbers — working capital, throughput, cost of quality, and service margin.
Vendor rationalization, sourcing copilots, supplier risk scoring, PO workflow automation, and demand–supply scenario planning.
Machine-event triage, downtime root-cause copilots, shift-handoff summaries, and natural-language access to SOPs and maintenance history.
Deviation analysis, audit-ready document retrieval, complaint categorization, nonconformance trend detection, and regulated-workflow guardrails.
Proposal and quoting acceleration, field-service knowledge assistants, customer-issue correlation, and post-sale support automation.
A two-to-three-week, fixed-fee diagnostic that replaces optimism with evidence — and gives the board a defensible starting point. Structured interviews with plant, quality, sourcing, and IT leadership; technical deep-dives into the IT/OT estate; scoring against our manufacturing benchmark.
Interviews with ops, quality, sourcing & IT; artifact review
Deep-dives: data estate, ERP/MES landscape, OT security
Scoring, gap analysis, board-ready readout
Five phases, four executive gates. Investment tracks evidence rather than momentum — and nothing advances without the numbers to justify it.
Use-case discovery with the people who own throughput, quality, and spend — not just IT.
Portfolio ranked by value, feasibility, risk, and data readiness — across plants.
Pilot on one line or one category, with production criteria set on day one.
ERP/MES integration, OT-aware hardening, MLOps / agent-ops, and cost controls.
Monitoring, evals, and operator enablement — then plant-to-plant rollout.
Continue, redirect, or stop. Four gates between ideation and scale; each one is a real exit ramp, priced in from the start.
Three properties we engineer into every recommendation, architecture, and pilot — because in manufacturing, trust is contractual: customers audit you.
Human-in-the-loop on consequential calls — releases, dispositions, supplier awards. Bias and neutrality testing against your quality and sourcing mandates. Policy packs mapped to your reality: ITAR, export control, customer data.
For you: AI accelerates your engineers and operators — accountability never leaves them.
Append-only logs of every prompt, retrieval, and decision. Lineage from sensor and system-of-record to output. Evidence packs for customer audits, ISO surveillance, and regulators.
For you: When the auditor asks "why", you have the receipts.
Citations to SOPs, specs, and history on every AI answer. Decision traceability from output back to source and policy. No black-box recommendations in quality or safety workflows.
For you: No disposition you can't defend — to a customer or a regulator.
In manufacturing, AI's attack surface reaches the floor — new identities, new data flows between IT and OT, new paths to your process IP and your suppliers' terms. We treat security as the first gate every recommendation must clear, not a review at the end.
Find ungoverned use in engineering and procurement; convert it to protected paths.
Designs, recipes, and supplier terms — redacted, encrypted, least-privilege.
Non-human identity, scoped credentials, and full attribution of every action.
Input shielding, output filtering, and abuse and anomaly monitoring.
AI workloads on your side of the Purdue line — VPC, on-prem, or air-gapped.
Evals, red-teaming, and drift monitoring as an operating rhythm rather than an event.
Four fixed-scope engagements, each separately contracted with named deliverables. You re-decide at every gate — momentum is earned, never assumed.
Not observations — instruments. Each artifact is built to move a specific decision: fund, fix, pilot, or stop.
Where you stand — IT and OT, scored honestly against benchmark.
Ranked by margin impact and feasibility, with named owners and source systems.
A sequenced 90-day plan and 12-month arc, decision-ready.
Policies, human-in-the-loop gates, and audit posture defined before the first build.
Production criteria set from day one, with metrics, guardrails, and integration points.
Centre-of-excellence design, plant roles, and decision rights.
Where does AI move throughput, quality, or spend first — and what is it worth?
Is our IT/OT data estate ready? If not, what exactly is the fix?
Can we defend AI-assisted quality and sourcing decisions to customers and auditors?
What will it cost — and when does it pay back?
Who owns AI risk — corporate and plant — and how is it monitored?
Most AI advice comes from people who have never run a model in production — or stood on a plant floor. Ours comes from doing both.
We design, build, and operate production agentic-AI systems. Every recommendation arrives pre-tested against deployment reality.
We frame AI around throughput, sourcing, quality, maintenance, workforce enablement, and operating margin — not tech for its own sake.
Provider-agnostic across Bedrock, Vertex, Azure OpenAI, and on-prem. We optimize for your outcomes, not a reseller margin.
Enablement is the deliverable: your people, your operating model, your capability — stronger after every phase, independent at the end.
One 30-minute executive session is enough to scope your readiness sprint. Two to three weeks later: an honest IT/OT scorecard, a board-ready readout, and a clear decision on what comes next.
Scope a readiness sprint or email info@mteklabs.comResponsible · Auditable · Explainable · Secure from the floor up
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