COLLABORATION

From requirements to practical solutions.

Project and solution scenarios for a potential collaboration.

Manageable IT for a growing business

We can examine the management effort that grows with servers, people, devices and locations. By making inventory, dependencies, networking and access visible, we can turn priorities, ownership and migration steps into a shared plan.

  • Current-state assessment, inventory and service-dependency map
  • Prioritised infrastructure and improvement roadmap
  • Identity, endpoint and access model
  • Monitoring, maintenance and recovery plan
  • Technical documentation and team handover

From the production floor to ERP and reporting

We can design an approach that gives PLC, HMI/SCADA and shop-floor data a useful place in business applications. Together with the responsible teams, we can define data, access boundaries and integration points around the questions operations need to answer.

  • Shop-floor data inventory, ownership and shared definitions
  • IT/OT connectivity and integration design
  • ERP/MES and database data flows
  • Alert, transaction-status and error-tracking views
  • Production KPIs and reporting design

A coherent workplace, from people to devices

A new colleague’s account, device, applications and workspaces are parts of one process. We can consider Microsoft 365 communication and collaboration alongside account lifecycles, asset records and support workflows to improve both user experience and operational visibility.

  • Joiner, mover and leaver checklists
  • User / group / role and device profiles
  • Email, file and team-workspace operating model
  • Device assignment, licence and support records
  • User guides, training and knowledge base

An AI assistant connected to enterprise knowledge

We can design a source-linked assistant for knowledge bases, documents or business data, and an agent workflow that prepares defined tasks for review where needed. Start with its purpose, information access and permitted actions, then make answer quality, data protection and human oversight part of the pilot.

  • Requirements, user groups and AI use case
  • Copilot / RAG / agent approach and provider assessment
  • Data scope, access matrix and source-validation model
  • Tool permissions, human approval and action records
  • Quality, failure and misuse evaluation scenarios
  • Pilot findings, usage guidance and rollout plan

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