Understand the handoffs
Trace the people, records, systems, decisions, and exceptions affecting the customer promise before choosing a solution.
Software · Cloud
Data · AI

Where a system transition affects an AI-assisted task, selected old and new records can be compared before its operating evidence changes. Users check whether a delivery-risk summary or proposed order entry still means the same thing. Your Supply Chain Digital Transformation Roadmap connects this Parallel Running work to useful AI for mid-market manufacturers in Oakland.
Start with work your people need to improve, such as investigating a delivery risk or checking an incoming purchase order. We assess the evidence, compare practical options, and lead approved changes through your complete Digital Transformation Roadmap.
Trace the people, records, systems, decisions, and exceptions affecting the customer promise before choosing a solution.
Governed Data, integration, workflow, automation, and AI connect the people and systems required to keep the customer promise.
Compare the proposed application with the current task, including review time, corrections, exceptions, and ongoing cost. Agree who checks the evidence and who retains authority to act.
Testing a replacement in isolation may miss how it handles everyday transactions and exceptions. Parallel validation can compare selected old and new results before the operating path changes. We establish what to compare, which record remains authoritative, and how to avoid duplicate orders, shipments, or financial actions. For U.S. mid-market manufacturers, improvement work must fit established systems, daily production, and competing investment priorities. We phase integration, testing, and employee practice through the Roadmap rather than assuming an ERP replacement or a dedicated transformation team.
Solution family
Operating location
Decision basis
Destination
These signals guide the assessment. We establish the cause and the effect on daily work before recommending a change.
Testing has not covered representative business cycles or exceptions.
Differences between old and new results have no assigned owner.
Running both systems could create duplicate real-world actions.
Metrotechs examines operating risk and the practical burden of running a comparison.
Identify orders, quantities, prices, balances, and decisions needing verification.
Separate approved rule changes from unexplained discrepancies.
Confirm authority, external actions, employee capacity, and provider comparison options.
Parallel running is one option rather than a universal requirement.
Use representative transactions where isolated testing can establish required evidence.
Evaluate selected shadow or parallel processing with duplicate actions prevented.
Consider a pilot or phased move when comparison burden is disproportionate.
For a manufacturer based in Oakland, California, the assessment follows the actual operating footprint: plants, warehouses, suppliers, customers, and delivery partners wherever they work. We establish who maintains the records, which handoffs depend on them, and how changes to Parallel Running would affect daily work across that footprint.
Demand, planning, purchasing, supplier records, and approvals that shape the Oakland manufacturing supply chain.
ERP workflows, inventory, quality, work orders, and shop-floor decisions that need a dependable operating record.
Customer, product, pricing, order, fulfillment, delivery, and service work that must stay connected to the same system.
Governed Data, Cloud infrastructure, reporting, practical AI, and exception handling that help teams improve the flow over time.
Metrotechs coordinates comparison work, employee participation, and the transition evidence. Client leaders approve which system controls live work and when the results justify moving forward.
Specify compared workflows, source records, external actions, and the live operating path.
Agree expected differences, tolerances from business evidence, and investigation ownership.
Plan representative cycles, employee effort, technical resources, dependencies, and costs. Prepare staff to distinguish comparison records from live work, log differences, and avoid duplicate customer or supplier actions.
Establish exit conditions, unresolved issues, recovery options, and client approval authority.
Illustrative scenario: a replacement handles selected order examples differently, but the team has not distinguished timing from pricing-rule differences.
We confirm approved pricing rules and the records used for comparison.
Providers classify differences and demonstrate corrections or approved intentional changes.
Metrotechs reviews representative results; leadership decides against agreed acceptance conditions.
Intended outcome: understood differences and evidence supporting a safe transition decision.
Comparison conditions must reflect the consequence of each result.
Representative work and important exceptions are covered.
Differences are explained, corrected, or explicitly approved.
Duplicate external actions and conflicting live records are prevented.
Exit, recovery, and unresolved-issue decisions have accountable approval.
Useful AI in daily supply chain operations is the goal. Supply Chain Digital Transformation connects the people, processes, systems, and data that make these illustrative applications possible. A focused application can progress while wider changes are phased through your complete Roadmap. We include source records, access, employee review, training, operating ownership, and a workable fallback in the approved scope.
Where a system transition affects an AI-assisted task, selected old and new records can be compared before its operating evidence changes. Users check whether a delivery-risk summary or proposed order entry still means the same thing. This can expose misleading differences before employees depend on a changed answer. Parallel validation needs a clear authoritative record and safeguards against duplicate transactions; it is a transition technique, not an AI feature.
Compare known records, expected answers, exceptions, and user review effort across both arrangements against the accepted baseline. Differences go to the responsible owners, who retain the existing operating path until reconciled evidence supports a change without duplicate orders or commitments.
Customers should see one authoritative status and action path while internal systems are being compared.
Metrotechs creates and manages your complete Digital Transformation Roadmap in Launchpad. You and participating providers use the same workspace for research, analysis, shared evidence, responsibilities, decisions, and progress. Launchpad supports the engagement; your operational AI application runs in the systems approved for that task. Communication, process change, training, and employee practice are part of the plan.
We assess the operation, develop the complete Roadmap, assemble and lead the delivery team, and govern approved work through implementation, training, adoption, and acceptance. We can develop and integrate solutions alongside appropriate providers.
Systems integrators, developers, and other providers are accountable for their Roadmap assignments, resources, and staffing. We coordinate dependencies, review progress and evidence, and address issues with the delivery team.
You approve priorities and changes, retain operating authority, and support employee participation. Employees contribute operating knowledge, testing, learning, and practice. We agree who owns the changed process and its ongoing support.
These framework stages explain the work and handoffs the Roadmap may need to improve.
No universal method is appropriate. Providers assess feasible comparison arrangements; the plan limits manual effort and prevents duplicate operating actions while collecting representative evidence.
Some approved rule or timing changes create legitimate differences. Define expected results and acceptable variation from business requirements, with unexplained discrepancies investigated before acceptance.
Where a system transition affects an AI-assisted task, selected old and new records can be compared before its operating evidence changes. Users check whether a delivery-risk summary or proposed order entry still means the same thing.
Start with a supply chain task your people need to improve. We assess the operation, compare options, create and manage your complete Digital Transformation Roadmap in Launchpad, and assemble and lead the delivery team through implementation, training, adoption, and acceptance. Useful AI in daily supply chain work is the goal of this transformation. A focused application can progress while wider changes are phased. Launchpad supports our research, shared evidence, decisions, and coordination.
Free intake provides orientation and a preliminary Readiness Snapshot. Your complete client-specific Roadmap and governed delivery belong to the managed engagement.