I specialise in helping you turn unmanaged, inconsistent AI adoption into a capability that improves productivity, reduces drag and delivers measurable results.
Across recruitment, legal, accountancy and professional services, the same pattern keeps appearing: staff using AI tools informally, without support, tuned skills or consistency. Some teams move fast. Others avoid. Leadership has limited visibility into what is being used, where data is going or whether outputs can be trusted or where the money is going. The result is uneven productivity, rising compliance risk and an operational gap that widens every week.
Every engagement follows the same commercial logic: understand how the workforce is using AI today, identify where AI integration into workflows will generate the highest return, then embed or nuture ongoing support to keep it improving. The journey is designed to build internal champions and operational ownership, not dependency on external consultancy.
The starting point. A structured review of how AI is currently being used across the business, where usage is unmanaged or inconsistent, where the highest-value workflow opportunities are and what a realistic 90-day improvement plan looks like.
Role-specific AI enablement that builds genuine capability across the whole team, not just the people already experimenting. Focused on safe usage, operational consistency and measurable productivity improvement in day-to-day work.
See enablementPractical operational controls around AI usage, approved tooling, data handling and workforce standards. Built for SME reality, not enterprise bureaucracy. Designed to reduce compliance risk without slowing the business down.
See governanceIdentify the workflows consuming disproportionate time and rebuild them using AI and automation. Not tool installation. Operational redesign that produces faster throughput, more consistent output and a measurable reduction in manual overhead.
See redesignOngoing embedded support for businesses that want to keep improving rather than stop at the first implementation. Monthly governance, use-case development, team coaching, measurement and operational AI leadership without the cost of a full-time hire.
See fractionalFocused conversations around current AI usage, where it is happening informally, where governance gaps exist and whether there are realistic opportunities to improve productivity quickly. No commitment required beyond the conversation.
Individual, group or department enablement to build genuine AI capability and identify internal champions. Workflows, current AI usage, risks and bottlenecks mapped and prioritised. The output is a ranked view of where AI can generate the highest return.
First workflow improvements go live alongside the team. Governance is established. Staff are enabled in their specific roles. For businesses that want ongoing support, my Fractional AI Operating Partner retainer provides continuous improvement without the full-time cost.
You have different workflows, but the underlying pattern is consistent: staff using AI informally without support, high-value people doing low-value work and leadership under pressure to improve output without growing headcount. See all industries.
The goal is not staff who 'attended an AI training session'. The goal is an empowered workforce that uses AI safely, consistently and productively, inside workflows that have been designed to support it.
I help UK SMEs turn unmanaged AI adoption into a governed, productive workforce capability. That means understanding how your team actually uses AI today, identifying the workflows worth redesigning and embedding the operational support to keep it improving over time.
Over the last 17+ years I have led enterprise AI deployments across healthcare, defence, financial services, recruitment, hospitality and the public sector. I founded and scaled two AI startups, a fin-tech and a conversational AI platform, from startup to acquisition. I launched dkww to bring a depth of real-world AI implementation experience into SMEs without the jargon, complexity, cost or consultancy theatre that usually comes with it.
No junior consultants. No oversized delivery teams. No generic AI training sessions that change nothing. Practical workforce enablement, workflow redesign and embedded operational support focused on measurable business improvement.
The operational patterns below are drawn from real-world AI deployments across regulated, high-volume and commercially sensitive environments. See full engagements.
Conversational AI pre-screening across 10 to 15 structured topics. 73% reduction in unqualified applications reaching the recruitment team.
AI-driven concierge integrated with appointment automation, treatment guidance and measurable reduction in missed appointments.
HR AI assistant serving 100,000 employees across 75 countries. 43% reduction in central inbox traffic within a three-month proof of concept.
High-trust AI deployments handling over 80% of incoming citizen enquiries across housing, council tax, planning and local services.
AI HR assistant deployed across four countries in English, Dutch and German. Fewer than 13 escalations to human agents over 12 months.
High-volume WhatsApp and SMS AI-triage integrated with Reed and Indeed APIs. 30 to 50 screening calls per week eliminated, candidates directly into ATS.
Searchable institutional knowledge powering faster proposal drafting and more consistent client delivery across distributed teams.
AI-driven customer engagement reducing support tickets by 48% within the first 14 days of deployment across a global enterprise client base.