Expertise

Architecture, infrastructure and automation

IT strategy, infrastructure development, enterprise and industrial systems, computer vision and secure AI applications. The areas below describe the work involved and examples of deliverables.

IT infrastructure and modernisation

Planning for compute, networks, engineering infrastructure, data storage and service placement. Performance, availability, protection and recovery requirements are connected to application needs and operating conditions.

Deliverable: Target infrastructure requirements, a dependency map, an options assessment and stages of change.

Validation: Agreed load, failure and recovery scenarios, with measured results recorded separately from objectives.

Networks and site connectivity
Compute, storage and placement
Redundancy and recovery
Monitoring and modernisation planning

IT strategy and enterprise architecture

Connect business objectives, the existing technology landscape and development options. Define target architecture, an initiative portfolio, governance and platform requirements, including AI use cases.

Deliverable: Target architecture, requirements, decision rationale and a sequence of work with dependencies and owners.

Validation: Traceability between requirements and decisions; coverage of dependencies, assumptions and acceptance criteria.

Current and target states
Architecture principles
Platform and vendor assessment
Initiative portfolio and change planning

Enterprise systems, data and automation

ERP and CRM architecture, master data management and business workflows. Integration of open and commercial platforms and automation of office and engineering work, including agent-based use cases.

Deliverable: A systems interaction map, data and interface requirements, workflow descriptions and an implementation plan.

Validation: End-to-end exchanges, access permissions, duplicate and error handling, and workflow outcomes.

ERP and CRM
Master data and quality
Workflows and integration
Automation and agents

IT/OT, industrial data and digital twins

Integrate equipment, telemetry, industrial applications and analytics. Develop architectures for asset monitoring, time-series analysis, predictive diagnostics and scenario modelling.

Deliverable: A data-flow design, integration and information-quality requirements, automation boundaries and scenario validation criteria.

Validation: Data completeness and freshness, behaviour during connectivity loss, and traceability of findings and operator actions.

IIoT and telemetry
APM and time series
Digital twins
MES, SCADA and EAM integration

Computer vision and edge AI

Image and video capture, industrial and infrastructure inspections, remote asset monitoring and biodiversity observation. Processing on edge devices with connectivity, compute resources and operating conditions taken into account.

Deliverable: A processing architecture, device and model requirements, and a testing and update plan.

Validation: Quality on agreed datasets, processing latency, missed detections, false alarms and operation with limited connectivity.

Video analytics and specialist models
Jetson and edge devices
YOLO and detection models
Model deployment and operations

Secure AI platforms and agents

Enterprise applications using cloud and local models: document search, RAG, vector stores and agents. Data classification, approved processing routes, access permissions and control of tool calls.

Deliverable: An AI application architecture, data-processing and action policies, integration requirements and a validation plan.

Validation: Permitted and prohibited requests, retrieval access controls, tool restrictions, audit trails and failure handling.

Local and hybrid models
RAG and knowledge systems
Agent workflows
DLP, access and audit

Engagement formats

Consultation, an architecture engagement or participation in the client's IT function. Specialist contributors and partners are selected for the work involved.

Consultation

Discussion of technical questions, solution options and possible scope. Any further deliverables and support are agreed separately.

Architecture engagement

Target architecture, requirements and a change plan, with material for procurement, development and acceptance.

IT leadership support

Architecture and technical coordination on the client side: planning, collaboration with delivery teams and decision support within an agreed role.

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