Who We Serve
Valcreo Solutions works with three distinct client groups — each with different mandates, timelines, and definitions of success. Our engagements are tailored to your specific context, not repurposed from a generic playbook.
Enterprise Leaders (500+ Employees)
Boards, C-suite executives, and their teams at established enterprises who need AI to deliver measurable competitive advantage — not just operational efficiency. We help you move from AI experimentation to enterprise-wide transformation with the governance and financial discipline that boards demand.
Our enterprise engagements are built for organisations that have tried AI and are frustrated by the gap between promise and delivery — or those that are starting fresh and want to avoid the mistakes their peers have made.
The Challenges We Hear Most
"We've invested millions in AI tools but can't demonstrate ROI to the board."
Technology deployment without a value measurement framework leaves leadership unable to justify continued investment or scale what is working.
"We have dozens of AI pilots running but nothing at scale."
Pilot proliferation without a portfolio management discipline is one of the most common enterprise AI failure modes. Scaling requires different capabilities than piloting.
"Our board is asking for an AI governance framework and we don't have one."
Regulatory pressure, reputational risk, and investor scrutiny are driving boards to demand AI governance — but most enterprises lack the framework and accountability structures to respond credibly.
"We need an AI leader but our CAIO search has been running for 8 months."
The market for experienced Chief AI Officers is extremely tight. A Fractional CAIO can provide immediate executive-level AI leadership while the permanent search continues — or indefinitely.
How We Help Enterprise Leaders
Enterprise AI Strategy
Board-ready AI strategy with a prioritised use-case portfolio, financial business case, and phased roadmap — aligned to your corporate strategy and financial targets.
AI Governance Framework
Design and implementation of an AI governance framework that satisfies regulators, audit committees, and institutional investors — built for agentic AI, not just predictive models.
Fractional Chief AI Officer
Executive-level AI leadership on a part-time basis — owning the AI agenda, chairing the AI governance board, and reporting to the CEO and board with full accountability.
AI Transformation Programs
Enterprise-wide AI transformation with structured change management, capability building, and financial impact tracking — moving from pilot proliferation to scaled value creation.
AI Agents & Automation
Deployment of intelligent agents across operations, finance, HR, and customer experience — creating compounding operational leverage at enterprise scale.
AI Investment Optimisation
Audit and rationalisation of existing AI investments — identifying underperformers, eliminating duplication, and redirecting capital to highest-return initiatives.
What a Successful Enterprise AI Program Looks Like
A board-approved AI strategy with a clear financial rationale and sequenced delivery plan
An AI governance framework that satisfies regulators, audit committees, and institutional investors
A prioritised portfolio of AI use cases — each with a quantified business case and owner
A named executive (CAIO or Fractional CAIO) accountable for AI strategy and financial returns
An internal AI capability that can sustain and compound value creation after the engagement ends
Board-ready reporting that translates AI activity into EBITDA, ROIC, and competitive advantage metrics
3×
Average ROIC improvement on AI investments under our advisory
60–80%
Cost saving vs hiring a full-time Chief AI Officer
90 days
Time to board-ready AI governance framework
Growth-Focused Operators
Operating companies that need to move fast, demonstrate value, and build lasting AI capability within a defined performance horizon. We are your execution partner — not another consultant who leaves a report behind.
We understand the pressure of 100-day plans, leadership reporting, and the urgency of demonstrating EBITDA impact before the next board meeting. Our engagements are structured around your timeline, not ours.
The Challenges We Hear Most
"Our leadership wants AI-driven EBITDA improvement in 12 months. We don't know where to start."
The strategic plan promises AI-driven value creation, but translating that into an executable plan with measurable milestones is harder than it looks.
"We just completed a major transaction and need to integrate AI capabilities quickly."
Post-transaction integration is where AI synergies are most often lost. Without a structured approach, the first 100 days become a missed opportunity.
"We've deployed AI tools but aren't seeing the financial impact we expected."
Technology deployment without business process redesign and change management rarely delivers the promised returns. The gap is usually in execution, not technology.
"We need AI leadership but can't justify a full-time Chief AI Officer yet."
Mid-market organisations often lack the scale to justify a permanent CAIO — but still need executive-level AI accountability to satisfy boards and drive results.
How We Help Growth-Focused Operators
100-Day AI Value Creation Plans
Structured sprint methodology that moves from AI thesis to measurable EBITDA impact in 100 days — built for PE timelines and investment committee reporting.
AI Implementation & Execution
Hands-on delivery from pilot to full deployment — managing vendors, driving change management, and staying accountable until value is realised.
Fractional Chief AI Officer
Executive-level AI leadership on a part-time basis — owning the AI agenda, governance, and ROI accountability without the full-time cost.
Operational AI Transformation
AI-driven process redesign across procurement, supply chain, finance, and commercial operations — targeting 20–35% cost reduction and 10–25% revenue acceleration.
Post-Acquisition AI Integration
Rapid integration playbooks that capture AI synergies and build a unified operating model within the first 100 days of ownership.
Board & Investor Reporting
Financial impact measurement frameworks that translate AI activity into EBITDA, cost savings, and revenue metrics — in the language your investors expect.
A Typical Engagement Timeline
Week 1–2
Rapid Diagnostic
AI maturity assessment, quick-win identification, and stakeholder alignment. Deliverable: prioritised AI opportunity map.
Week 3–4
Plan & Align
100-day plan design, business case, governance setup, and investment committee presentation.
Month 2–3
Launch & Deploy
Pilot launch, vendor integration, change management, and first measurable outcomes.
Month 4+
Scale & Report
Expand successful initiatives, build internal capability, and deliver board-ready financial impact reporting.
20–35%
Operational cost reduction through AI-driven process transformation
10–25%
Revenue acceleration via AI-powered commercial excellence
100 days
Time to first board-reportable financial impact
Boards & Investors
Boards, investors, and PE funds that need AI to be a value-creation lever — not a risk factor. We help you build the investment thesis, conduct AI-aware due diligence, and design portfolio-wide programmes that move returns.
Our work with boards and investors spans the full investment lifecycle: from pre-deal technology assessment through to exit-readiness AI positioning. We speak the language of IRR, MOIC, and EBITDA multiples — not model accuracy or GPU utilisation.
The Challenges We Hear Most
"We don't know which portfolio companies are AI-ready and which are liabilities."
Most PE firms lack a consistent framework for assessing AI maturity across their portfolio — leaving value on the table and risk unquantified.
"Our deal teams are missing AI value creation in due diligence."
Traditional tech due diligence frameworks were not built for AI. Deals are being mispriced and synergies are being missed.
"We promised AI-driven value creation in our thesis but don't have the execution capability."
The gap between investment thesis and operational delivery is where most PE AI programmes fail. Strategy without execution is just a slide deck.
"Our LPs are asking about AI governance and we don't have a credible answer."
Institutional LPs and co-investors are increasingly scrutinising AI governance as part of ESG and risk management frameworks.
How We Help Boards & Investors
AI Investment Thesis Development
Build a differentiated AI investment thesis for your fund — identifying AI-native sectors, platform opportunities, and value creation levers that competitors are missing.
AI-Aware Technology Due Diligence
Pre-deal AI assessment framework that quantifies AI value creation potential, identifies technical debt, and surfaces integration risks before deal close.
Portfolio AI Maturity Mapping
Structured assessment of AI readiness across your entire portfolio — scored by financial impact potential, execution feasibility, and strategic urgency.
Value Creation Plan Design
100-day AI value creation plans that move from strategy to measurable financial impact — designed to demonstrate early wins and build momentum for the full programme.
Platform Company AI Strategy
AI strategy for platform companies that need to absorb add-ons efficiently — building a unified AI operating model that scales with each acquisition.
Exit Readiness & AI Positioning
Pre-exit AI narrative and documentation — helping you articulate AI-driven value creation to strategic buyers and secondary PE acquirers.
$50M–$200M
AI-enabled value identified per portfolio company
4–6 weeks
AI due diligence turnaround for active deals
100 days
Time to first measurable value creation milestone