AI Services Engineered for Enterprise Value Creation
A connected system of capabilities — from AI strategy to deployed business impact. Every service is designed to deliver measurable outcomes: EBITDA growth, operational efficiency, and lasting competitive advantage.
AI Strategy & Roadmaps
Most AI strategies fail because they start with technology, not value. We begin with your financial objectives — EBITDA targets, ROIC thresholds, and portfolio priorities — and work backwards to define the AI vision, use-case portfolio, and investment roadmap that will get you there.
The result is a board-ready AI strategy with a clear business case, prioritised initiatives, and a phased roadmap that balances speed-to-value with risk management.
Our Work Includes
AI Opportunity Assessment
Structured mapping of AI use cases across your value chain, scored by financial impact, feasibility, and strategic fit.
Business Case & ROI Modelling
Quantified financial models for each AI initiative — EBITDA impact, payback period, NPV, and ROIC — to support board and investor approval.
AI Investment Roadmap
Phased, prioritised roadmap with clear milestones, resource requirements, and decision gates — designed for PE timelines and enterprise governance.
Portfolio AI Thesis (PE)
AI-enabled value creation thesis for PE funds — identifying AI-driven synergies, platform opportunities, and technology due diligence frameworks.
Technology Due Diligence
AI-aware M&A technology assessments that identify value creation opportunities and risks before deal close.
AI Implementation & Execution
Strategy without execution is just a document. We stay in the room — working alongside your internal teams, managing vendors, and driving delivery from pilot to full deployment. Our hands-on model means accountability does not end when the slide deck is finished.
We operate with the urgency of a 100-day value plan and the discipline of a PE operating partner — moving fast, managing risk, and keeping the financial impact front and centre throughout.
Our Work Includes
Pilot Design & Proof of Concept
Rapid, low-risk AI pilots that validate business impact in 4–8 weeks before committing to full-scale deployment.
Solution Design & Integration
End-to-end AI solution architecture, vendor selection, and integration with existing systems and workflows.
Change Management & Adoption
Structured change programs that align leadership, train teams, and embed AI into day-to-day operations — not just IT infrastructure.
Vendor & Partner Management
Independent oversight of AI vendors, system integrators, and technology partners — protecting your interests and ensuring delivery accountability.
Post-Acquisition AI Integration
Rapid AI integration playbooks for PE-backed acquisitions — capturing synergies and building a unified AI operating model within the first 100 days.
AI Optimisation & Value Realization
Deployment is the beginning, not the end. Most AI value is captured in the months and years after go-live — through continuous improvement, performance tuning, and disciplined value tracking. We help you scale what works, retire what does not, and report financial impact with the rigour that boards and investors demand.
Our optimisation programs are built around financial KPIs — not model accuracy metrics — ensuring AI performance is always measured in the language of value creation.
Our Work Includes
AI Performance Monitoring
Continuous tracking of AI model performance against business KPIs — identifying drift, degradation, and optimisation opportunities.
Value Realization Tracking
Financial impact measurement frameworks that translate AI outputs into EBITDA, cost savings, and revenue metrics for board reporting.
Scaling & Expansion
Structured programs to expand proven AI use cases across geographies, business units, and functions — compounding returns over time.
AI Portfolio Rationalization
Audit and rationalization of existing AI investments — identifying underperformers, duplicates, and opportunities to consolidate or accelerate.
Data Engineering & Quality
Optimisation of data pipelines, governance, and quality frameworks to ensure AI models have the fuel they need to perform at scale.
AI Agents & Assistants
The next frontier of enterprise AI is not just automation — it is autonomous agents that reason, plan, and act on behalf of your teams. We help you identify, design, and deploy AI agents that augment human capability, eliminate bottlenecks, and create compounding operational leverage.
Every agent deployment is framed in business terms — cost per transaction, throughput improvement, revenue per agent — not technical benchmarks.
Agent Categories We Deploy
Operations & Workflow Agents
Digital workers that automate multi-step operational processes — procurement, finance, HR, and supply chain — reducing manual effort by 10–30% in targeted operational workflows, depending on process complexity and automation scope.
Research & Analysis Agents
Intelligent agents that synthesize market intelligence, competitive analysis, and financial data — delivering insights in minutes, not days.
Customer Engagement Agents
AI-powered customer service, sales support, and voice agents that handle complex interactions while maintaining brand standards and compliance.
Internal Knowledge Assistants
Enterprise-wide AI assistants that surface institutional knowledge, accelerate onboarding, and reduce dependency on individual expertise.
M&A Due Diligence Agents
Specialised agents for deal teams — automating document review, financial analysis, and risk identification across large data rooms.
Governance & Compliance Agents
Monitoring agents that track AI model behavior, flag compliance risks, and generate audit-ready reports for regulators and boards.
Fractional Chief AI Officer
Executive-level AI leadership — without the full-time cost. We own your AI agenda end-to-end: strategy, governance, vendor selection, team capability, and ROI accountability. The accountability of a permanent CAIO at a fraction of the investment.
Who It's For
Organisations that need executive-level AI leadership but are not yet at the scale or risk profile that justifies a permanent Chief AI Officer.
Mid-Market & Growth Companies
Organisations scaling rapidly that need AI leadership to move fast — without the cost or time to hire a full-time CAIO.
Enterprises Without a CAIO (500–5,000 Employees)
Organisations with significant AI ambitions but no dedicated executive to drive them with the discipline, governance, and financial accountability that boards expect.
Post-Merger & Transformation Programmes
Organisations navigating major change — M&A integration, digital transformation, or operating model redesign — that need AI leadership to capture synergies and build a unified capability.
Boards Seeking AI Accountability
Boards and audit committees that want a named executive accountable for AI strategy, governance, and financial returns — not a committee, a vendor, or a slide deck.
What We Own
A Fractional CAIO is not a consultant who leaves a report behind. We sign model-risk policies, chair the AI governance board, and own KPIs — accountable for outcomes, not just recommendations.
AI Strategy & Use-Case Portfolio
Define and maintain the AI investment portfolio — prioritised by financial impact and aligned with board and investor expectations.
AI Governance & Risk
Design and chair the AI governance framework — model risk policies, compliance readiness, and audit-ready documentation.
Platform & Vendor Selection
Independent evaluation and selection of AI platforms, tools, and vendors — protecting your interests and ensuring fit-for-purpose decisions.
Team Capability Building
Assess, develop, and recruit AI talent — building internal capability that outlasts the engagement.
ROI Tracking & Board Reporting
Financial impact measurement and board-level reporting — translating AI activity into the language of value creation.
AI Operating Model
Design the AI operating model — roles, processes, governance structures, and ways of working that embed AI into the organisation's DNA.
Engagement Model
Structured for impact from day one. Flexible enough to adapt as your AI maturity grows.
Days 1–30: Rapid Diagnostic
AI maturity assessment, stakeholder alignment, quick-win identification, and governance baseline. Deliverable: 90-day AI action plan.
Days 31–90: Foundation & First Value
Launch priority use cases, establish governance framework, begin vendor evaluation, and build the AI operating model. First measurable outcomes.
Months 4–12: Scale & Compound
Expand successful initiatives, build internal capability, optimise performance, and report financial impact to board and investors.
Ongoing Advisory (Optional)
Transition to a lighter-touch advisory model as internal capability matures — maintaining strategic oversight without full engagement intensity.
What You Get
Clarity on AI Priorities
A board-approved AI portfolio with clear financial rationale and sequenced delivery.
De-Risked Execution
Governance, vendor oversight, and compliance readiness — reducing the risk of costly AI failures.
Measurable ROI
Financial impact tracking from day one, with board-ready reporting on EBITDA and ROIC contribution.
Internal Capability
A team that can sustain and compound AI value creation after the engagement ends.
The Business Case
A full-time Chief AI Officer in the US commands $350,000–$500,000 in base salary plus equity — and typically $500,000–$800,000 in total compensation including benefits and bonus. A Fractional CAIO engagement at $15,000–$30,000 per month represents a fraction of that total cost, with no permanent headcount commitment and full flexibility to scale up or down as your needs evolve.
For PE-backed companies, this means accessing board-level AI leadership within the investment horizon without the permanent headcount commitment.
100-Day Value Creation Plans
Inspired by the PE operating model, our 100-day plans deliver the measurable first-value outcomes that typically take 6–12 months to achieve through conventional programme approaches — as the launch phase of a broader 12–18 month transformation. Every day is accounted for, every milestone is tied to financial impact, and every decision is made with the urgency of an investor on a defined exit horizon.
Underpinned by the VANTAGE™ framework, our 100-day plans are designed for both PE-backed companies entering a new ownership period and enterprise leaders who need to demonstrate AI value to their boards quickly.
What a 100-Day Plan Delivers
Diagnose & Align
- AI maturity baseline
- Value-creation opportunity map
- Stakeholder alignment and governance setup
- Quick-win identification and prioritisation
Design & Launch
- AI roadmap and business case
- Pilot launch for top 2–3 use cases
- Vendor selection and integration planning
- Change management program initiation
Deploy & Measure
- Full deployment of priority use cases
- Financial impact measurement and reporting
- Governance framework operationalized
- Capability building and knowledge transfer