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Solution
AI-driven supply chain transformation, operationalized.
We rebuild the operating logic that decides what gets made, allocated, stocked, and shipped: allocation and node design, demand sensing, inventory and working capital, planning and procurement, and fulfillment, run through a control-tower, single-pane-of-glass interface where every agent decision is inspectable. Twelve-week outcome-staked cycles, named senior experts orchestrating AI agents, value verified by your ROI-approving stakeholders.
No obligation. We pick up.
The pattern
Cost and working capital scale with complexity.
Every new SKU, channel, node, and supplier adds inventory, adds a planning step, and adds cash trapped on the balance sheet. The supply chain grows cost and working capital in lockstep with complexity: safety stock sized for a forecast that no longer holds, allocation rules nobody can explain, and fulfillment that misses the promise. The usual fix is another planning tool layered on top of the old logic, which moves the spreadsheet around without changing the decision.
And the AI work stalls. Demand sensing and allocation pilots prove out in a notebook and then never reach the live allocation engine or the fulfillment floor, because there is no operating interface to run them through and no operator who trusts a recommendation they cannot inspect. We close that gap: AI agents inside the live operation, surfaced through a control tower you can see into, on cycles that ship a verified outcome your finance and operations leaders can sign.
In operation
Where allocation, inventory, and fulfillment actually live.
What we rebuild
The surfaces that decide cost, cash, and the promise.
We rebuild the operating logic of the supply chain surface by surface, and tie it together through a control tower you can see into. Everything is a glass box: agent decisions are inspectable and traceable, never an opaque recommendation you have to trust on faith. Most programs combine two or three of the surfaces below into a single twelve-week cycle.
Allocation and node design
Rebuild the logic that decides what gets allocated where and which nodes carry what. AI agents tune allocation against real demand and constraints, so service level holds while inventory and cost come down, with every allocation decision inspectable in the control tower.
Demand sensing
Replace the static forecast with a live demand signal that reads orders, point-of-sale, and external signals as they move. Agents sense the shift early and feed it straight into allocation and replenishment, so you carry less to hit the same fill rate.
Inventory and working capital release
Free the cash trapped in the wrong inventory in the wrong nodes. Demand sensing and allocation tuned to real signal let you carry less safety stock at the same service level, releasing working capital off the balance sheet, instrumented against the live baseline.
Planning and procurement
Run planning and procurement as an agent-assisted flow rather than a monthly spreadsheet cycle. Agents draft the plan, size the buy, and flag the exceptions; senior operators own the judgment calls and the supplier relationships that need a human.
Control-tower, single-pane-of-glass interfaces
Build the operating interface that puts allocation, inventory, demand signal, supplier status, and fulfillment on one screen. A glass box, not a black box: every agent recommendation is inspectable, traceable to the data it ran on, and overridable by an operator.
Fulfillment
Rebuild the logic that decides how the promise gets kept: order routing, sourcing, and the trade-off between speed, cost, and service. Agents optimize fulfillment in the live operation so the customer promise lands without the cost of overstock or expedited freight.
Related domains
Programs usually span more than one.
Clients hire us to rebuild the supply chain and discover the working capital, the execution workflows, and the AI operationalization are the same problem from different angles. The mechanism is the same across all five problem domains: twelve-week cycles, named senior experts, AI agents on production workflows.
Supply Chain and Fulfillment Transformation
The parent domain. The multi-cycle rebuild of allocation, fulfillment, demand sensing, and the operating interfaces that decide whether the customer promise can be kept, framed beside our other four problem domains.
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Operational Resilience and Working Capital
The defense domain: Cycle-1 margin and working-capital recovery that protects the P&L this quarter against tariffs, demand shocks, and rate pressure. Often the fastest path to free cash trapped in inventory.
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Agentic Execution of Enterprise Workflows
Wire agents into the internal workflows that move money: order-to-cash, procure-to-pay, S&OP, and contracts, into the systems you already run. The execution layer behind a rebuilt supply chain.
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Enterprise AI Operationalization
Move AI out of pilots into the parts of the business that change the P&L. Named senior experts orchestrating AI agents on production workflows, with outcomes baselined and verified.
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Proof
Supply chains instrumented at Fortune 100 scale.
We have stood up instrumented operations and shipped production AI inside asset-heavy operators across real-world industries. The mechanism is the same in the supply chain: a named pod, agents owning the volume, and a baseline your stakeholders sign.
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Direct line
Rebuild the supply chain this quarter.
Twenty-five minute call. A Cycle 1 sketch tied to the allocation, inventory, and fulfillment in your operation right now. Baseline mechanics, named operators, the fastest path to released working capital. No slides, no obligation.
No obligation. We pick up.
Frequently asked