Infrastructure development
Define requirements for networks, compute, storage and service recovery, and prepare a change plan.
AI Code · Architecture · Infrastructure · Automation
IT infrastructure, automation and applied AI
Design and modernisation of IT infrastructure, enterprise and industrial systems. Data integration, process automation and applied AI, with security and operational requirements taken into account.
Project deliverables
- 01Requirements
- 02Architecture
- 03Work plan
- 04Validation
The scope depends on the project.
01Architecture and infrastructureNetworks, compute, storage and IT service development.02Data and integrationExchange between enterprise and industrial systems.03Security and accessData protection and controlled use of enterprise AI.04Automation and AIWorkflows, assistants, video analytics and edge AI.
Projects we can help with
Infrastructure modernisation, systems integration, process automation and preparation for operations.
Data and process integration
Connect applications and sites, clarify data sources, access permissions and error handling.
Automation and AI delivery
Develop a use case, integrations and quality criteria, run a pilot or prepare an existing solution for operations.
Areas of expertise
Four groups cover six specialist areas, from infrastructure and enterprise architecture to industrial data, video analytics and secure AI applications.
Architecture and infrastructure
IT strategy, target architecture, networks, compute, storage and modernisation planning. Performance, availability and recovery requirements.
Data and integration
ERP, CRM, master data and workflow management; industrial telemetry, IT/OT integration and digital twins.
Security and access
Data protection requirements across infrastructure and integrations; permissions, DLP, audit and permitted actions in enterprise AI applications.
Automation and applied AI
Enterprise workflow automation, document search and agents; computer vision, inspections and local data processing at operational sites.
Project activities
Assessment, architecture design, piloting and implementation support. The scope and sequence are agreed for the project and take account of work already completed.
Assessment
Existing systems, data, dependencies and constraints.
Deliverable: A description of the current state and the issues to address.
Architecture design
Target design, implementation options, requirements and stages of change.
Deliverable: Architecture, decision rationale and a work plan.
Pilot and validation
Test selected solutions against an agreed set of scenarios.
Deliverable: Test results, limitations and required changes.
Implementation support
Integration, acceptance, documentation and preparation of the operations team.
Deliverable: Agreed validation activities and material for ongoing operations.
Insights
All insightsArchitecture analyses and practical material on infrastructure, data integration, automation and AI.
Planning IT modernisation: current state, target architecture and delivery stages
How to bound the challenge, compare architecture options and turn modernisation into an achievable sequence of changes.
RTO and RPO: objectives and IT service recovery testing
Recovery timing and data objectives, service dependencies, a worked example and a recovery-test report.
A DLP Control Plane for Enterprise AI: Combining Cloud and Local Models
An access architecture for cloud and local LLMs: data classification, user permissions, audit and control of agent actions.
Contact
Discuss your projectDiscuss automation and infrastructure
Tell us about your project or question. We can discuss the scope and form of support together.