Context
Useful AI adoption depends on more than access to a tool. Leaders need to choose suitable problems, teams need practical experience, and builders need clear boundaries for data, permissions and human review.
Our enablement services combine coaching, workshops and implementation around those needs. The programme below shows how assessment, enablement, building and governance fit together. You can discuss a focused requirement without committing to the whole sequence.
Solutions Partner across Modern Work, Security, Infrastructure and Data & AI
Agent design and deployment to Frontier Partner specialization standards
Brand visibility across an agreed set of queries and AI platforms
Engagement structures with documented productivity targets
Who we serve
We work with executive teams whose AI strategy needs structure, and with functional teams ready to move from AI awareness to AI capability with measurable outcomes.
What We Deliver
Every engagement follows the same shape, regardless of starting point. Assess to set the baseline. Enable to build the capability. Build to ship the artefacts. Govern to keep them safe over time.
Have a team, a use case or a programme in mind? Discuss your AI adoption plans
What We Deliver
From executive readiness through to deployed agents and AI brand visibility, with the governance and measurement designed in from day one.
01 · Executive Coaching
Most executive teams have used AI as a chat tool. Few have used it to interrogate a board pack, stress-test a strategy or rehearse a difficult stakeholder conversation. The shift is not technical, it is methodological: framing problems before solutions, defining the outcome before the prompt, and treating the AI response as a draft to challenge rather than an answer to accept.
Our executive coaching is a two-hour structured immersion delivered one-to-one or in small executive groups. The session uses a real business deck, your live strategic challenges, and a published prompting framework. Participants leave with a working approach, a reclaimed strategic-thinking calendar, and a credible point of view they can take to the board. Engagement is outcome-based.
02 · Team Enablement
Team-level AI adoption typically follows a Simulate, Solve, Reflect pattern. Simulate places the team in a structured AI-augmented scenario to rebuild prompting and cognition habits. Solve applies the new approach to real, pre-set functional challenges with reusable outputs. Reflect analyses how AI affected decisions, biases and team dynamics, with the function leader co-leading the reflection.
We deliver three-hour hands-on workshops for functional leadership teams of up to 10. Each session produces three GenAI-powered solutions to functional priorities the team brought into the room, with documented productivity targets and feedback on confidence, working practices and pace. Outcome-based engagement structure with team-level NPS as the success metric.
03 · AI Builder Enablement
Most professional users of AI plateau at chat. The next level is automation: workflows that run while the team sleeps, custom apps built with Claude or Microsoft Copilot Studio, and content tooling tailored to a specific business problem. The shift requires structured practice with the right tools, not theory, and is best delivered as project-based learning with shipped output.
We deliver builder enablement for marketing, operations, finance and customer-facing teams. Workflow automation on n8n. Custom apps and lightweight agents built with Microsoft Copilot Studio, Claude and the wider Microsoft 365 GenAI stack. Visual content generators, structured prompt libraries and reusable Notebooks. Each module produces a shipped artefact the team uses the next day.
04 · Agent Design
Microsoft has shifted to an agent-first platform with Copilot Studio for low-code business agents, Azure AI Foundry for engineering-led agents at scale, Agent 365 for visibility, and the Frontier Partner specialization to standardise governance. Without a governance regime, agents proliferate inside organisations the way bots and macros once did, with identity, audit and ROI implications.
We design and deploy agents on Copilot Studio and Azure AI Foundry to the Microsoft Frontier Partner specialization standards. Identity-bound through Microsoft Entra. Visible in Agent 365. Instrumented for ROI measurement, with quarterly review against the original use case. Decommissioning process documented for agents that no longer earn their place. Common deployments include invoice validation, internal-knowledge retrieval, structured-report generation and stakeholder-communication drafting.
05 · AI Brand Visibility
AI answers can vary by platform, query and time. An assessment records how your brand appears for a defined set of customer questions, including when alternatives are selected and whether the answer provides a useful route to your website or products. These observations provide a baseline for improvement; they do not guarantee future recommendations or citations.
We deliver AI brand visibility assessments across an agreed query set and selected platforms, such as ChatGPT, Gemini, Claude and Google AI Mode. Our four assessment layers are Discoverability, Persuasion, Competitive and Enablement. The output is an archetype classification, competitor benchmark and prioritised improvement backlog. Content, structured data, external references and product feeds are considered where relevant to the chosen platform and use case.
06 · AI Strategy
Board-level AI conversations need a credible position on opportunity, risk, governance and operating model. Without that, the AI investment debate stays anecdotal, the regulatory exposure is unmanaged, and the next platform decision drifts. A productised AI strategy engagement aligns the executive team, defines the policy framework, and produces a costed roadmap.
We deliver AI strategy as a fixed-scope engagement. AI use policy aligned to ISO 42001 readiness and the EU AI Act. Governance framework covering data, identity, agent lifecycle and audit. Decision intelligence design for regulated environments, including SOC 2 and TOGAF alignment. Costed 12-month roadmap with named owners and value milestones, written for the board and signed off by the executive team.
Why CloudCoCo
What sets our delivery apart, in measurable terms.
Modern Work, Security, Infrastructure and Data & AI designations, with Frontier Partner specialization-aligned agent practice.
Productivity targets and team-level NPS documented in the contract. Where measurement falls short of the agreed threshold, the engagement is restructured.
Each engagement leaves the customer with a shipped artefact, a reusable framework and a measurable change in operating cadence, not a slide deck.
Structured assessment across the four AI platforms customers actually use, with archetype classification and competitor benchmarking.
AI use policy, agent lifecycle, identity binding and audit trail considered before deployment, not bolted on afterwards.
Strategy, enablement, agent design and platform deployment delivered by one team or handed cleanly to your preferred implementation partner.