Production AI agents
- Orchestrated steps with audit trails
- Human-in-the-loop where risk demands it
- Same delivery model beyond plant pilots
Industrial AI
Industrial AI Pilot For One Plant Workflow
We scope a fixed-price industrial AI pilot around one operational bottleneck—exceptions, intake, triage, or document routing—with live system integrations, supervisor review gates, and logs your plant team can defend. Educational cost and package detail lives in our pilot guide; this page is how AUOTAM delivers the work.
One plant. One workflow. Measurable proof.
Plant-wide “AI transformation” fails because nobody owns the first win. We start with a named workflow, a systems list, a success metric, and a supervised run—then decide whether production expansion is justified.
- Fixed-price pilot typically in the $8K–$18K band for a bounded plant workflow
- Integrations to the systems operators already use—not sample-data demos
- Human review on consequential writes; audit trail on every automated step
How an industrial AI pilot runs
Delivery stays boring on purpose: map, build, measure—then decide. Expansion is a separate decision after the pilot proves the workflow on plant data.
Map the bottleneck
Shadow the current plant process, list systems and exception types, and freeze scope plus success metrics before build.
Build the pilot slice
Connect integrations, stand up review queues and logging, and test against real plant records—not only clean samples.
Measure, then decide
Run the supervised window, score the agreed metric, and produce a written expand / revise / stop recommendation with handoff notes.
What we optimize for
Plant-realistic scope
One line, one queue, or one document loop—not a multi-plant roadmap disguised as a pilot.
Supervisor control
Review gates where inventory, quality, or customer commitments can move; operators keep ownership of consequential decisions.
Pilot → production path
Deliverables include known failure modes, runbooks, and what must change before wider rollout—not a vague “phase 2” slide.
Industrial AI pilot FAQ
What is an industrial AI pilot?
An industrial AI pilot is a fixed-scope, fixed-price engagement that proves one plant workflow can run with live system integrations, human review gates, and an audit trail—before any multi-plant or full production commitment.
How much does an industrial AI pilot cost?
AUOTAM typically scopes industrial and operational AI pilots in the $8,000–$18,000 range for a bounded workflow over 4–8 weeks, depending on integrations, review requirements, and compliance needs.
How do I start an industrial AI pilot with AUOTAM?
Book a free 30-minute workflow review at https://auotam.com/book. Bring one plant bottleneck and the systems it touches; AUOTAM returns a fixed-price pilot outline before any commitment.
For the full package and cost checklist, read the industrial AI pilot package guide.
Related reading
Related reading for this page
- Industrial AI pilot package guideWhat a first plant pilot should include, cost ranges, and partner checks.
- Custom AI agent cost (canonical)Broader build and run ranges after the pilot proves the workflow.
- AI agents practiceHow production agents are orchestrated beyond the first plant slice.
- Vet an AI implementation partnerQuestions, red flags, and proof to demand before you sign.
Plan your first industrial AI pilot
Bring one plant bottleneck and the systems it touches. We will outline scope, integrations, success criteria, and a fixed-price pilot before any commitment.