Capability
Data & Systems Engineering
Systems integration and data unification for complex environments.
Tell us about your problem
Overview
The context needed to resolve an operational bottleneck is usually fragmented: a record in the ERP, a deviation in the QMS, and a supplier email thread. We engineer the APIs, pipelines, and integration layers that unify this data, so your teams and systems work from a single source of truth.
What We Build & What You Get
Capabilities and deliverables.
Technical Capabilities
Connections between ERP, MES, QMS, CRM, and supplier portals
Automatic data feeds: how data moves, in what order, and how it's checked
Software-to-software connections (APIs)
Pulling data out of documents and records
Reports, measurements, and alerts
Cloud migration and legacy system modernization
Deliverables
A written map of where the data really lives across your systems
Working connections that keep information current without copying by hand
Starting numbers, so improvement is measured, not claimed
Where We Fit
Not the focus here: The application built on top of the integrated data, see Product Engineering.
Not the focus here: The AI decision logic that consumes the unified context, see Agentic AI Engineering.
How We Engage
A scoped connection project, sized to the systems and data involved.
Exception-to-Action Engineering
Where Data & Systems Engineering fits the method.
Every engagement follows the same five stages. This capability carries the stages highlighted below.
Map the Problem
Exception Map + Baseline Sheet
Bring the Data Together
Context Map + Decision Rulebook
Human Approval
Human Approval Flow
Measure the Result
Measurement Report
Go Live
Action Layer
Implementation Examples
Related implementation examples.
Material nonconformance and supplier quality exceptions
A representative scenario based on a recurring bottleneck in mid-size manufacturing: incoming material fails quality inspection, requiring manual investigation across systems.
Read the blueprint
Supplier delivery exceptions and purchase-order mismatches
A representative scenario based on a recurring bottleneck in mid-size manufacturing procurement: a purchase order, receipt, and invoice don't match, or a supplier delivery arrives late or partial, and someone has to work out what to do next.
Read the blueprint
Production schedule disruptions and machine-down exceptions
A representative scenario based on a recurring bottleneck on the plant floor: a machine goes down or a material shortfall disrupts the production schedule, and a planner has to work out the impact and re-sequence the schedule under time pressure.
Read the blueprint
Order exceptions: failed payments, oversold stock, and shipping failures
A representative scenario based on a recurring bottleneck in mid-size commerce operations: an order fails somewhere in the pipeline (a payment hold, an oversold SKU, a carrier exception), and someone has to triage it across systems before the customer notices.
Read the blueprintProduct data out of sync: pricing, inventory, and catalog mismatches
A representative scenario based on a recurring bottleneck in mid-size commerce operations: product data drifts out of sync between the PIM, the ERP, and what customers actually see, creating pricing errors, overselling, and lost sales before anyone notices.
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Modernizing a legacy platform without a full rewrite
A representative scenario based on a recurring bottleneck for growing SaaS platforms: the codebase has outpaced its original architecture, new integrations take three times as long as they should, and AI features are effectively blocked, but a full rewrite is too costly and too risky to justify.
Read the blueprint
Reconciliation exceptions with a full audit trail
A representative scenario based on a recurring bottleneck in mid-market financial operations: a reconciliation run produces breaks that don't auto-match, and each one has to be investigated, resolved, and documented well enough to survive an audit.
Read the blueprint
Non-clinical scheduling and intake exceptions
A representative scenario based on a recurring bottleneck in healthcare administration: a scheduling or intake exception (a missing insurance verification, a conflicting slot, an incomplete form) stalls a non-clinical workflow until someone tracks down the missing piece by hand.
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Client intake-to-delivery handoff exceptions
A representative scenario based on a recurring bottleneck in professional services firms: a new client signs, but the handoff from intake to actual delivery stalls across disconnected tools, delaying billable work.
Read the blueprintFrequently Asked
Next Step
Have a problem for data & systems engineering?
Tell us what's happening in your operation. We'll help you scope the right first step.