Frame the decision
Align on the operating constraint, sponsor, decision deadline, and economic boundary.
Industrial AI opportunity sprint
Turn plant-level friction into one pilot operators can trust.
For manufacturers and industrial-services companies that need to rank AI opportunities against plant economics, system constraints, and the reality of frontline work.
Best fit: Industrial businesses with roughly 100–2,000 employees, or portfolio operators comparing opportunities across multiple companies.
Two weeksFixed scopeStarts at $7.5KNo software commitment
Executive decision record
Opportunity shortlist · week 02
01Pilot candidate
Maintenance troubleshooting and knowledge capture
02
Quality investigation and defect-response support
03
Planning exceptions and operational decision support
ValueFeasibilityLearning speed
01The decision
Which constrained workflow can produce measurable operating value without depending on a multi-year data transformation?
These are common signals that the opportunity-selection problem is ready for a bounded executive sprint. They are prompts for diagnosis, not claims about your organization.
01
Critical knowledge sits with experienced operators and is hard to scale.
02
Quality, maintenance, or planning decisions depend on fragmented signals.
03
Promising pilots fail to account for integration, adoption, or plant-level economics.
02The engagement
A decision sprint, not an open-ended transformation program.
The work is deliberately bounded around opportunity selection and pilot design. That creates enough resolution to make a real investment decision without pretending every unknown has disappeared.
Build the evidence base
Combine company context, operator input, and comparable deployment evidence. Mark what is observed, transferable, or still assumed.
Rank the opportunity set
Compare options on value, feasibility, adoption, risk, and learning speed—not presentation quality.
Design the proof
Turn the leading opportunity into a pilot workflow and a 90-day executive action plan.
03What leaves the room
Useful artifacts built around one executive decision.
Every output shares the same evidence trail, assumptions, and operating constraints. You do not receive a pile of disconnected slides.
Three ranked opportunities
A decision-ready shortlist scored against value, feasibility, evidence, risk, and time to proof.
One pilot-ready workflow
A bounded operating design with actors, handoffs, data needs, controls, and success measures.
A defensible 90-day plan
Build-versus-buy guidance, ROI assumptions, risk treatment, sequencing, and executive decisions.
04Manufacturing lens
The common method is tested against context-specific constraints.
The vertical overlay changes the evidence standard and operating questions—not the engagement into a new product.
01
Plant economics and measurable operating constraints
02
OT, ERP, and data-access realities
03
Frontline adoption and safe fallback paths
04Evidence standard
Every recommendation keeps its receipts.
We distinguish observed evidence from transferable patterns, working assumptions, and unknowns. That makes the recommendation easier to challenge—and safer to act on.
ClassMeaningConfidence
Observed
Direct company or deployment evidenceHighTransferable
Comparable context with explicit differencesMediumAssumption
Working hypothesis to test in the pilotOpenUnknown
Decision-relevant gap that remains unresolvedOpen30-minute fit review
Bring us the decision—not a polished brief.
Tell us where the operating question is stuck. We will assess whether the sprint is the right shape, what evidence already exists, and what would need to be true to proceed.
- A named operating problem or decision
- An executive or functional owner
- A reason the decision matters now