Operating partner to discrete and process manufacturers, industrial distributors, freight networks, parcel and last-mile platforms, and third-party logistics operators applying AI across the production floor, the network, the field workforce, and the aftermarket.
We work with manufacturers, industrial distributors, freight forwarders, parcel networks, last-mile platforms, and third-party logistics operators on the engagements where AI is being applied against the supply chain, the production floor, the network operating model, the field workforce, and the customer commercial surface. We bring deep sector experience, primary architectural depth, and a delivery cadence calibrated to the operating rhythm of an asset-intensive business that cannot afford a twelve-month project timeline against an opportunity that closes inside the next two quarters.
Across the floor, the network, the field, and the aftermarket.
<p>Engagements in manufacturing and logistics divide across four planes that the operating model has to reconcile inside a single architectural posture. The supply chain and network plane carries demand sensing, supplier risk, inventory positioning, route optimization, asset utilization, and the planning function that holds them together across the manufacturing footprint and the transportation estate. The production plane carries quality, throughput, energy, and the maintenance regime through which equipment availability is governed. The field service plane carries scheduling, parts logistics, first-time fix, and the workforce productivity that distinguishes the durable franchise on the floor and in the field. The aftermarket plane carries service contract economics, parts pricing, and the digital channel through which a meaningful share of recurring revenue is now intermediated. We run engagements at all four planes, and the diagnostic that opens each engagement identifies which plane is the binding constraint in the business at hand.</p>
An assessment scoped against the asset-intensive operating model.
<p>The two-week assessment is scoped against six named workstreams that together describe the operating posture the architecture has to sustain. Supply chain and network economics, examined at the named flow level, with explicit attention to the working capital, the service-level, and the cost-to-serve trajectory across the most recent eight quarters. Production economics, measured against the named throughput, quality, and equipment availability metrics the operating committee uses to govern the floor. Technology estate, with a written inventory of the AI workloads in production, in pilot, and approved but not started, with explicit attention to the workloads that touch the operational technology environment. Talent posture, with a written assessment of your capacity to absorb the operating model the AI estate now requires across engineering, the field workforce, and the network operations function. Aftermarket and customer commercial posture, including the service contract franchise and the digital channel through which the franchise is intermediated. Operational governance posture, including the documented commitments your regulators, your customers, and your safety counsel expect to see honored across the next platform cycle.</p>
Readiness across the operational technology, the network, and the field workforce.
<p>The readiness instrument has six dimensions that the operating model has to satisfy before a workload is allowed near the floor, the network, or a customer-impacting decision. Data fitness for the production and network workloads, with explicit attention to the operational technology data layer, the historian estate, the telematics fabric, and the warehouse and transportation management estates through which a meaningful share of operating data now flows. Architectural posture against the convergence of information technology and operational technology, and against the integration points that govern your enterprise resource planning, transportation management, and warehouse management systems. Operating model maturity at the production engineering, network operations, and field service functions. Change management bandwidth across the floor, the dispatch center, and the field workforce. Aftermarket and digital channel readiness, including the service contract instrumentation and the customer commercial digital posture. Operational governance readiness, including the documented commitments under which the operating model now runs and the audit posture the safety and quality functions expect to see preserved.</p>
A roadmap structured against the asset, the network, and the value chain.
<p>The roadmap is structured against the named flow, the named asset class, the named lane, and the named aftermarket franchise, with each unit carrying named workloads, the architectural commitments the workloads require, the financial trajectory each workload is approved against, and the kill criteria the operating model adopts at approval. The financial trajectory is reconciled to the operating committee's quarterly cadence so that the program is governed against the same metrics the business discloses externally, and the rewrite trigger is calibrated to the asset utilization, the network density, and the service level the operating model is committed to sustaining across the next two cycles.</p>
Prototypes built against your own historian, MES, telematics, and field data.
<p>The architectural prototype is built against your own data, on your own substrate, with explicit instrumentation against the kill criteria written in the operating model rewrite. The prototype is delivered inside 72 hours of the kickoff. The wedge architecture is modified for the asset-intensive environment in two ways the operating model requires the architecture to honor. The integration layer is calibrated to your manufacturing execution system, the historian, the transportation management system, the warehouse management system, and the field service management estate through your preferred integration patterns. The orchestration layer is explicitly written to surface decisions in a form the production engineer, the dispatcher, or the field technician can validate, modify, or override before the decision propagates through the operating model and the customer commercial surface.</p>
Production stand-up across the floor, the field, and the network.
<p>Production stand-up runs from the close of the prototype through day 30, with the deployment sequence calibrated to the named flow, the named asset class, the named lane, or the named field region in which the workload sits. The institution owns the asset on its own balance sheet at the close of the stand-up, and the operating mandate is retained by us under the commission-and-operate structure for a defined period that the operating committee approves at the close of the stand-up.</p>
Examples of where the firm engages, and the kind of operating result the work targets.
Illustrative examples drawn from the firm’s engagement patterns. Figures shown are representative of the operating outcomes the firm targets within the engagement model. Tap a card to read the engagement.