We redesign processes, automate work and add intelligence where it creates measurable business value—so your existing resources can do more.
ExploreWhy Solutions ADI
Too much value is still lost in manual work, disconnected systems, delayed decisions and processes that were never redesigned for scale.
Our team understands both sides of the problem: the reality of the shopfloor and the technology required to improve it. Every engagement begins with outcomes—not software.
Our Value Architecture
Starting with customer value, we work backward to architect the processes, information, intelligence and digital capabilities required to deliver measurable benefits. This pull-based architecture ensures every digital element has a defined purpose.
We begin with the customer requirement—quality, delivery, responsiveness, reliability, flexibility or cost—and translate it into measurable business outcomes.
Customer need · Business benefit · Success measuresWe connect customer value to the manufacturing measures that influence it, including throughput, first-pass yield, lead time, OEE, downtime, inventory, productivity and cost of quality.
Operational KPIs · Value drivers · Performance ownershipWe define the required flow across production, quality, maintenance, engineering and supply chain—including roles, hand-offs, controls, standard work and exception paths.
Process flow · Standard work · Decision rights · ControlsWe define the data, context and traceability required at every process step, and how information should move between people, machines and systems without duplication or loss of meaning.
Operational data · Context · Traceability · System connectivityWe determine where visibility is enough, where rules can guide action and where analytics or AI can improve prediction, diagnosis and judgment. High-consequence decisions retain appropriate human oversight.
Analytics · Decision intelligence · AI assistance · Human oversightWe select the right combination of workflows, software, integrations, automation, connected equipment and simulation. Technology is pulled by the value requirement rather than pushed into the process.
Digital workflows · Integration · Automation · Scalable technologyWe embed performance visibility, exception management, feedback and ownership so the solution remains stable, learns from operating experience and can scale across lines, plants or processes.
Control plans · Feedback loops · Continuous learning · ScaleOur services
Eight connected capabilities. One business-first transformation partner.
We walk the value stream with your production, quality, maintenance and engineering teams to find the real constraint. Then we build a practical roadmap around measurable outcomes such as capacity, OEE, first-pass yield, lead time, cost and safety.
Discuss this capability ↘We remove avoidable steps before digitizing the work that remains—reducing re-keying, hand-offs and approval delays across SOPs, inspections, NCR/CAPA, ECR/ECO and other plant workflows.
Discuss this capability ↘We build focused web and mobile tools for production tracking, quality inspection, maintenance, traceability and operator support. A clearly defined application can move from agreed scope to production in 15 days.
Discuss this capability ↘We connect shopfloor and office workflows using machine or sensor data, digital Andon, alerts, RPA and system integration—moving essential administrative work toward reliable, zero-touch execution.
Discuss this capability ↘We turn ERP, MES, QMS and machine data into shift, line and plant-level visibility. Teams see OEE, downtime, scrap, FPY, MTBF and MTTR with the exceptions and loss drivers that need action.
Discuss this capability ↘We apply AI where human judgment needs better evidence: engineering knowledge, change-impact analysis, document intelligence, forecasting and anomaly detection—with source grounding, guardrails and human approval for high-consequence decisions.
Discuss this capability ↘We model lines, layouts, buffers, material flow and capacity so teams can test demand, staffing, scheduling and improvement scenarios before changing the plant or committing capital.
Discuss this capability ↘We strengthen daily management with digital Kaizen, loss trees, layered audits and closed-loop action tracking—so countermeasures become standard work and learning carries into the next improvement cycle.
Discuss this capability ↘Where we create value
Planning, OEE, dispatch, downtime, Andon and traceability
Inspection, NCR, CAPA, audits and defect intelligence
PM, breakdowns, MTBF/MTTR, spares and smart alerts
Inventory, suppliers, logistics and exception management
Training, skill matrices, tasks, communication and approvals
Change, drawings, standards and AI knowledge assistants
KPI trees, executive dashboards and decision intelligence
The way we work · DRIVE Value
DRIVE is our five-stage, manufacturing-focused method for moving from a real operating problem to sustained value. Each stage ends with evidence and a clear decision gate—so architecture follows the value case, not the latest technology.
Align leaders and frontline users on the business problem, customer need and baseline. Define the value charter using plant measures such as throughput, quality, lead time, cost, safety or working capital.
Gate output Value charter & success measuresWalk the actual process with the people who run it. Expose constraints, queues, rework, waiting, duplicate entry and decision gaps; then separate value-adding work from necessary and pure non-value-adding work.
Gate output Current-state value stream & constraintEliminate waste first, simplify the future state and choose the lightest suitable intervention—standard work, workflow digitization, rules-based automation, analytics or AI.
Gate output Future-state design & solution decisionTest with real users and representative plant conditions. Confirm business impact, usability, data quality, system behaviour and escalation paths; keep high-consequence decisions under human control.
Gate output Evidence, guardrails & scale decisionDeploy through a controlled pilot, train users and embed ownership in standard work and a control plan. Monitor results and feed operating lessons back into the process, system and models.
Gate output Sustained results & improvement loopOnce DRIVE confirms a focused need and an agreed scope, our rapid engineering team can take a digital application from requirement mapping to production deployment in 15 days.
How we can engage
Find high-value opportunities, quantify potential and build a prioritized roadmap.
Take one defined business pain point to a working application in 15 days.
Redesign, digitize and automate an end-to-end operating value chain.
Extend your team with continuous digital engineering and improvement capacity.
Contact us
Let's identify the one process where better flow, visibility or intelligence can create the most value.