Service

IT & AI Solutions

Cloud, security, data, automation and applied GenAI — implemented with enterprise governance, controls and operational readiness.

AR

Architecture & integration

Design solutions aligned to enterprise constraints: security, compliance, cost and integration.

AI

Governed AI adoption

Practical GenAI use cases with guardrails to avoid security debt and operational risk.

OR

Operational readiness

Runbooks, monitoring, ownership and incident preparedness — not just deployment.

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Enterprise patterns. Evidence-based delivery. Run-ready outcomes.

Placeholder visual
Architecture • Guardrails • Run readiness
Replace with a target architecture / AI governance diagram later.

Offerings

Modular capabilities delivered individually or combined into an enterprise programme.

Cloud foundations

Landing zones, identity, network patterns and platform standards.

Examples: reference architecture, IAM baseline, network design

Security uplift

Controls, hardening and detection aligned to enterprise risk posture.

Examples: access governance, logging, security baselines

Data platform modernisation

Data pipelines, governance and analytics enablement.

Examples: data architecture, lineage, stewardship model

Automation & orchestration

Workflow automation to reduce manual effort and error rates.

Examples: integration flows, runbooks, exception handling

Applied GenAI

Use-case driven AI adoption with policy-aligned guardrails.

Examples: copilots, access controls, logging & review

Operational monitoring

Reliability improvements with metrics, alerts and incident readiness.

Examples: SLOs, dashboards, incident playbooks

Delivery framework

A repeatable, governed approach from assessment to run.

1

Assess

Current state, constraints, risk posture and target outcomes.

Outputs: assessment summary, risk register

2

Architect

Target architecture aligned to governance and operational needs.

Outputs: target architecture, standards, integration plan

3

Deliver

Implement with testing evidence and stage gates.

Outputs: build artefacts, test evidence, deployment plan

4

Operate

Stabilise with monitoring, ownership and improvement cadence.

Outputs: runbooks, monitoring, CI backlog

FAQ

Common enterprise questions.

Do you support hybrid environments?

Yes — cloud, on-prem and hybrid designs with consistent governance.

How do you handle security and compliance?

Security is embedded through controls mapping, access governance and evidence capture.

What is the first step for AI initiatives?

Start with use-case prioritisation, data classification and guardrail definition.

Ready to scope this service?

Share objectives and constraints — we’ll respond with a clear delivery approach.

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Discovery → Delivery → Run