What follows describes the kinds of systems we integrate and the platforms our engagements have actually involved. It is a description of experience, not a vendor partnership or accreditation claim.
Process before platform
Technology magnifies the process it touches, good or bad. We design the way of working first, then ask the platform to support it. That is why the stack conversation starts with an Integration Architecture — systems, interfaces and data flows, approved and versioned — and a Data & Integration Foundation covering master-data ownership, quality rules, lineage and pipelines.
Without those two documents, a stack is a toolbox. With them, it is a backbone.
The layers we work across
Core business systems. Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Human Resources Information Systems (HRIS), finance and procurement. Engagements have involved Microsoft Dynamics and Microsoft Dynamics GP, SAP, Salesforce, Workday, Cognos and Laserfiche, alongside industry platforms including Trux and AMCS in waste and environmental operations.
Operations platforms. Transport Management Systems (TMS), Warehouse Management Systems (WMS), Enterprise Asset Management (EAM), dispatch, scheduling, job costing and project controls.
Field-to-office. Mobile capture portals, bilingual field apps, offline-capable inspections, photo check-ins and vendor portals for compliance uploads, timesheets and subcontractor scheduling.
Sensors and telemetry. Internet of Things (IoT) sensors, Programmable Logic Controllers (PLCs), Global Positioning System (GPS) tracking, Radio Frequency Identification (RFID), drone-based data collection and digital-twin feeds — wired where a reading should trigger an action, not to populate a dashboard.
Reporting and analytics. Business intelligence dashboards and a leadership reporting layer, each metric with a named owner, a defined source and a data-freshness Service Level Agreement.
Learning and enablement. Training and adoption platforms, including Workday, Docebo and Flex in past engagements, with role-based content built from Standard Operating Procedures.
Emerging. We have piloted the use of Google's AlphaEarth raw embeddings for terrain, water and vegetation change detection in mining contexts. This is an emerging capability offered as specialized consulting, not a productized service — we describe it as a pilot because that is what it is.
How we choose
Select the anchor platforms for master data, workflows and reporting. Configure for the target operating model rather than brand preference. Name the system of record for each domain, and publish the retirement plan with dates so dual entry ends and incident risk drops.
Then maintain control of the plan: lock the future-state blueprint and the key configurations, and use vendor expertise to implement your design rather than theirs.
What you get
An approved Integration Architecture, a Data & Integration Foundation with named master-data owners, an interface plan with owners and dates, a reporting layer with freshness commitments, and one Integration Roadmap & Timeline showing dependencies and legacy retirements.
See Enterprise Digital Transformation Services for the delivery model, and M&A Integration for how consolidation and retirement decisions get made after a deal.