Pick a starting point. Most engagements begin with an audit or a review.

Before you automate anything, you need to know what's worth automating, what your team is actually capable of, and whether your infrastructure can support it. We start with an honest audit and end with an action plan your team can execute.

• Team capability audit — honest assessment of current skills, tooling, and where AI can genuinely help vs. where it creates risk
• Process and admin cost analysis — mapping repetitive, high-volume tasks that are real candidates for automation
• AI readiness score — a structured report on where your business sits today and what needs to change before you invest further
• Restructuring action plan — a prioritised roadmap covering what to automate first, what to upskill, and what to stop doing manually
• Efficiency uplift strategy — how to increase team output and reduce admin overhead without increasing headcount
• Error reduction review — identifying where human error is highest and where AI guardrails would have the most impact
• Prompt engineering readiness — equipping your team with the frameworks and discipline to get consistent, reliable output from AI tools, so performance doesn't depend on who wrote the prompt or how they were feeling that day
• Future time-saving projection — quantified estimate of hours and costs saved at 3, 6, and 12 months post-implementation

Continuous cost governance for AWS and GCP — from an initial spend audit to ongoing optimisation as your infrastructure scales.

• Full spend breakdown by service, team, and environment
• Rightsizing recommendations for compute, storage, and databases
• Reserved instance, savings plan, and commitment analysis
• Waste elimination: idle resources, orphaned storage, unused licences
• Tagging and allocation strategy so costs stay visible as you grow
• A prioritised action list, ranked by savings vs. effort — revisited quarterly

An independent health check of your cloud architecture — reliability, scalability, and operational risk.

• Architecture walkthrough against AWS / GCP Well-Architected pillars
• Single points of failure and scaling bottlenecks identified
• Deployment pipeline and infrastructure-as-code assessment
• A roadmap your team can action without hiring a full platform team

Ongoing, part-time cloud, DevOps/SRE ownership — a senior engineer on tap, without the full-time cost.

• Set day(s) per month, billed predictably
• Infrastructure changes, incident support, and platform improvements
• Direct Slack/email access — no account managers in between
• Knowledge handed over to your team as you go, not held back

Web applications built on modern, proven stacks — designed to run well in the cloud from day one, not retrofitted to it later.

• Modern front ends and robust back ends, chosen for your use case — not for trends
• CI/CD pipelines so every change ships safely and repeatably
• Cloud infrastructure sized for your actual traffic, with room to scale
• Security and observability built in from the start, not bolted on at the end
• Delivered with full documentation — your team owns it, not us

Practical security hardening for SMEs — closing real gaps, not chasing compliance theatre.

• IAM and access review — least privilege, no shared root accounts
• Network and exposure review (open ports, public buckets, secrets)
• Logging, alerting, and incident-response basics put in place
• Plain-English guidance mapped to common frameworks (Cyber Essentials, SOC 2 prep)