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AI and Digital Transformation
CMS Group helps organisations move from AI experiments to governed, measurable capability. We secure the data foundation, redesign the workflows, train the people and apply the right model to the right task.
The problem
Most AI programmes do not fail because the model is weak. They fail because the organisation was not ready. Permissions are loose. Data is scattered. Processes are undocumented. Staff are unsure what they can use and what they must avoid. The result is familiar: enthusiasm, patchy adoption, inconsistent output and difficult questions from leadership.
CMS changes the starting point. We do not ask which AI tool you should buy first. We ask what work should change, what data supports it, what governance protects it, and how the business will measure success.
AI does not create advantage the moment it is switched on. Advantage arrives when your people know how to use it, your data is governed well enough to trust it, and your workflows are designed so the technology takes work off the business rather than adding another interface to it.
Our approach
We fix the plumbing before we apply intelligence. One layer connects systems and automates repeatable work. The next applies AI where it earns its keep.
Generative AI makes weak governance visible. If access is wrong, AI surfaces the wrong content faster. We prepare the tenant, protect the data and close the gaps first.
We interrogate the work, not the people. We find where time, error and duplicated effort actually live before any tool is chosen.
We fix the plumbing before we apply intelligence. The first layer connects systems, cleans data and automates repeatable work.
The second layer applies AI where it adds value: triage, research, drafting, analysis, search, routing and decision support.
Architecture
The right AI strategy does not bet the business on a single model. It chooses the right model for the right task, keeps the business logic outside the model, and preserves the ability to move as the market moves.
We work across the major model providers and can train and host private models where a use case requires it, subject to governance, security and commercial fit.
Copilot, Azure OpenAI and the Microsoft Graph
Strong reasoning, analysis and long-context work
Multimodal tasks across the Google ecosystem
Trained and hosted for client-specific needs
Microsoft 365 Copilot
Copilot earns its value when it reads context from your tenant with permissions intact. We prepare the ground so it answers from what a user is allowed to see, then we roll it out in phases with governance in place.
Meeting recall, drafting and triage inside the tools people already use.
Permissions-aware answers grounded in the documents a user is allowed to see.
Faster modelling, summarisation and pattern-finding across structured data.
Purpose-built agents that follow your business logic and guardrails.
Readiness and governance
Generative AI makes weak governance visible. If access is wrong, AI will surface the wrong content faster. We prepare the tenant, protect the data, train the users and prove the use cases before scaling adoption.
We make sure AI can reach the right data and not the wrong data, before it reaches deeper into the estate.
We close the gaps that AI would otherwise expose, then sequence access carefully.
We prevent unauthorised discovery of incorrectly secured information through permissions and labelling.
We prove the use cases on a controlled group before broad deployment, with DLP, Purview and phased rollout.
We also help clients separate safe use of corporate AI from personal or public AI, so people know exactly what they can use and what they must avoid.
Discovery and delivery
Four stages take a client from undocumented friction to measured, governed capability.
Understand before you walk in
We do the hard work upfront. We research the sector, gather internal context, survey staff and, where appropriate, mine the process. We identify friction before the first workshop.
Interrogate systems, not individuals
We run practical Art of the Possible sessions that demonstrate AI and automation against real workflow pain. We avoid language that makes people fear replacement, and we lead thought leadership, education and departmental engagement.
Extract the tribal knowledge
Group workshops surface ambiguity. One-to-one discussions with the right stakeholders extract undocumented knowledge and clarify what the room could not.
Hard ROI, not vendor claims
We fix data, automate flow and deploy AI or agents where useful. Then we measure: time saved, quality improved, risk reduced, cost avoided or revenue enabled. We use hard data, not vendor claims.
How we prioritise
We score every opportunity so investment follows evidence, not enthusiasm.
Priority score
(Time × Volume × Complexity) ÷ Feasibility
Hours consumed per instance of the process.
How often the process occurs across the business.
Cognitive load, number of systems and exception rate.
Data availability, API access, regulatory constraints and technical readiness.
Proof
We build operational technology, not slideware. These are our own platforms, running in our own operation.
Our proprietary Client Success Platform. A live view of applications, systems, sites, identities, tickets, security posture and strategic roadmaps, replacing spreadsheet lookups and manual work.
An intelligent call-handling system. It greets callers, captures the issue through AI-driven conversation and prepares a structured ticket, handing context to the service desk before the agent picks up.
Targets everyday user administration: joiners, leavers, role changes, access and licence requests, password resets and mailbox delegation. It interprets requests and moves work through structured workflows.
Practising what we advise
We use AI the way we ask our clients to use it: governed, practical and tied to real work. The point is not novelty. The point is better judgement, less friction and clearer outcomes.
We train our own team on model selection, prompting, context, review, deep research, agents, governance and data controls. We restrict AI usage to sanctioned corporate tools, with controls intended to protect against data leakage and GDPR risk.
We never send AI output to a client without human review, judgement and ownership.
An internal initiative that identifies practical improvements in AI, automation, workflow, reporting and process. It keeps our own practice sharp, so the advice we give clients is tested first on ourselves.
Services
From readiness to working capability, each service ties back to measurable commercial return.
Establish whether your data, security and people are ready before you invest.
Microsoft 365 Copilot prepared, governed and rolled out in phases.
Purview, DLP, sensitivity labelling and permissions, set up to be auditable.
Executive education and departmental enablement that turns curiosity into capability.
Find where AI earns commercial return, scored against a clear model.
Locate friction with telemetry and mapping before tools are chosen.
Connect systems, clean data and automate repeatable work end to end.
Agents that triage, research, draft and route, with guardrails and oversight.
Architecture that keeps business logic outside the model so you stay free to move.
AI built into how support runs, from first contact to resolution.
Detailed solutions
Each solution has its own page covering scope, approach and outcomes.
Know if the business is ready before you invest
Copilot, prepared and governed before rollout
Autonomous AI that gets work done
Custom AI on any model
AI embedded in custom software
Find your AI quick wins
Permissions-aware, auditable AI
Turn curiosity into capability
Book an AI readiness session with CMS Group. We will show you where the foundation is solid, where it is not yet, and what to fix before you scale.
100+ organisations on the model. Multi-decade partnerships, not transactional contracts.