SERVICES / AI, Automation & Strategic Consulting
AI, AUTOMATION & STRATEGY
AI that earns its keep. Not just demo magic.
Microsoft Copilot and Gemini rollouts, Power Automate workflow automation, agentic systems and AI governance. We help you tell the difference between AI that moves your business and the kind that just looks impressive in a slide deck.
WHAT WE DO
From AI strategy to deployment to governance
Microsoft Copilot rollout
Readiness assessment, licensing optimisation, data governance prep, pilot deployment, training, adoption tracking.
Gemini for Workspace rollout
Google AI deployment across Gmail, Docs, Sheets, Meet, NotebookLM. Drive governance prep, permissions hygiene.
Automation pipelines
Power Automate and custom workflow automation for back-office processes, PSA integration, billing pipelines.
Agentic workflows
Multi-step agent systems connecting your PSA, ITSM, ticketing, billing and document management.
AI policy & governance
Acceptable-use policy, data classification for AI consumption, vendor evaluation framework, incident response runbooks.
Data readiness
Permissions audit, sensitivity labelling, DLP policy, SharePoint & Drive cleanup. AI is only as good as the data it can see.
vCIO & strategic advisory
Quarterly strategy sessions with leadership. Technology roadmap, vendor evaluation, M&A IT due diligence.
ROI measurement
Adoption analytics, productivity baselines, time-saved measurement. The hard numbers your CFO will ask for.
RAPID PROTOTYPING
Concept to working MVP in weeks, not quarters
A lot of good ideas die in the gap between "we should build this" and "we have a working prototype". We use modern AI-assisted development tooling to close that gap.
WHEN THIS FITS
You have a concept and you need it real
A product idea to test with real users; an internal tool to socialise across leadership; a fundable artefact for an innovation grant; validating an integration or AI use case before sinking engineering hours into it.
WHAT YOU GET
A real, working artefact
A deployed, accessible MVP at a real URL. Working core flow end to end with realistic data. Branded enough to demo professionally. A written summary of technical decisions. The codebase, in your account.
HOW WE BUILD FAST
Modern tooling, experienced engineers
Modern stacks (Next.js, Supabase, Vercel) optimised for fast iteration. AI coding assistants where they genuinely speed things up. Component libraries instead of bespoke UI. Hosted and deployable from day one.
1
Scoping (1 day)
Working session to define what the MVP needs to do, what it explicitly won't do, and what success looks like.
2
Build (1 to 3 weeks)
Short, focused build cycle with a daily progress link. We deliberately resist scope creep at this stage.
3
Trial (your timeline)
You put it in front of users, stakeholders, the board, or investors. We stay on standby for small adjustments.
4
Decide
Either the idea has legs and you commission a production build, or it has answered the question. Either outcome is a win, because you found out cheaply.
ADOPTION FRAMEWORK
Five steps from "we should try AI" to measurable outcomes
Most organisations get stuck between pilot and production. Our framework is designed to push through that gap.
1
Readiness
Data permissions, licensing, identity baseline, governance gaps.
2
Pilot
One team, one use case, eight weeks. Measure baseline, deploy, measure delta.
3
Governance
AI policy, training, vendor & data classification, audit logging.
4
Scale
Org-wide rollout with cohort sequencing, champion network, training programme.
5
Measure
Adoption, productivity, ROI tracked quarterly. Honest reporting, including where it didn't work.
FREQUENTLY ASKED
Common questions
Is this just Copilot deployment?
Copilot is a substantial part of what most clients want, but it's broader, Gemini for Workspace, Power Automate workflows, custom integrations, and bespoke AI agents.
How do we know where to apply AI?
We start with a discovery, workflow mapping, AI use-case identification, ROI modelling. The output is a prioritised roadmap.
What about AI safety and governance?
Governance framework, acceptable use policy, data classification, audit logging, DLP, all part of any AI implementation we deliver.
Microsoft Copilot vs Gemini, which is right for us?
Depends on your existing platform. M365 to Copilot, Workspace to Gemini. For specialised workflows we may recommend Claude or ChatGPT Enterprise.
What's a realistic ROI timeline?
For workflow automation, typically 3-6 months to positive ROI. For AI productivity tools, measured improvement in 30-60 days.
Are licenses included?
Engineering is included. Copilot licenses, Gemini, OpenAI and Anthropic API consumption billed separately at vendor cost.
HOW WE DELIVER AI
AI shipped against business outcomes, not theatre.
Practical agents and workflow automations scoped against measurable business outcomes, not science-fair demos. We start from a documented problem (handle X percent of tier-one tickets, classify Y type of inbound, summarise Z for the management team) and design the smallest thing that solves it. Integrations land into the systems your business actually runs on, Halo, the Microsoft Graph, GitHub, your CRM, your data warehouse, and we own the runbook for everything we ship.
An AI that fails silently is worse than no AI at all. Every workflow we deploy has observability built in, alerting on quality drops, drift, or unusual patterns, and a documented manual fallback path from day one. When the underlying model changes or a vendor deprecates an endpoint, we handle the migration before you notice.
Book an AI readiness session. Free, zero pitch.
One-hour workshop with our AI lead. We'll review your tenant, identify the highest-value Copilot or Gemini use cases, flag the governance gaps that need closing first, and send you a written readiness report.
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