AI operating system · Operations and supply
Operations that see deviations before they cost a shift
Shift and capacity planning, productivity tracking, deviation alerts, demand and procurement forecasts and supplier risk run through AI, inside the systems your operations team already works in.
Use cases
Where we start in operations
The cases below are the usual first candidates; the bootcamp picks yours by gain and data readiness.
- Planning: Shift, capacity and resource plans drafted from demand and constraints, adjusted by the planner.
- Deviation alerts: Downtime, quality and throughput deviations flagged as they appear, with the likely cause.
- Procurement and supply: Demand forecasts, spend categorization and supplier risk signals ahead of the order cycle, with the buyer deciding the order.
- Process documentation: SOPs, incident summaries and status reports written from the records the team keeps anyway.
- Workflow assistance: Checklists, hand-offs and routine requests handled with a person on every exception.
What we measure
The metrics agreed before the first pilot
Each pilot starts with a baseline; what we publish as a gain is what the pilot measured.
- Downtime and deviation response time
- Plan accuracy and schedule adherence
- Overall equipment effectiveness where it applies
- Procurement cost and supply disruptions
- Hours per week on reports and documentation
The path
Five phases, on your own data
Every phase runs with the people who own the function; nothing leaves your perimeter without a rule.
Phase
What happens
Pre-brief
One week: the ERP or MES, shift records and the supply plan in scope.
Bootcamp: why and where
Two days with the operations leads: where AI pays off from planning to procurement, and in what order.
Use-case labs
Four to six weeks on your own lines and orders: the cases that matter, tested.
Pilot sprint
Six to eight weeks: two to four pilots inside your planning and procurement systems, with a measured result.
Scale and governance
Two weeks: the rollout plan, the shop-floor data policy, the approved tools, the owner.
What the function keeps
An operating system, with an owner
We install
What it gives you
AI capability map and roadmap
Where, how and in what order, for 3, 6 and 12 months.
Operating cadence
A weekly pilot review and a monthly review of the function's AI metrics, each with an owner.
Roles and ownership
A named owner of AI in the function, champions in the team, and who signs off what before it reaches a customer, a candidate or a number.
Playbooks and prompts
The working cases documented so the next person runs them the same way.
Governance and guardrails
A usage policy, approved tools, data rules, human validation where the output needs it, a risk register.
KPI set and dashboard
Adoption, time saved, quality and cost per use case, on a dashboard in your own tools, reviewed monthly.
Trained people
The team runs the working cases without us by the end of the rollout.
Formats
Where to start
AI self-check
See whether AI in your functions has an owner, a policy and a measured result, with the first moves by email within a day.Free, inside the maturity assessment
Learn moreAI operating system for operations
Install AI in operations with owners, guardrails and a measured first pilot.Fixed fee. Request a quote
Request a quoteBootcamp for operations
Two days with the operations leads: the use-case shortlist and the first pilot plan.Fixed fee. Request a quote
Request a quoteFAQ
Questions leaders ask first
The pilots run inside the systems you already use; what leaves the perimeter and what stays is set in the data rules before the labs start.
Find where AI pays off in operations first
A discovery call about your processes, your data and the first pilot.
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