A Fractional CIO provides board-level technology leadership on a flexible, part-time basis — giving organizations access to strategic capability and transformation experience without the cost and overhead of a full-time executive.


The approach follows the Pareto principle: 20 % of the CIO’s time can deliver up to 80 % of the value — if that time is focused on what truly drives business outcomes. Many companies already have capable operational IT managers, but what’s missing is the strategic bridge between IT operations and business transformation. The Fractional CIO fills that gap — aligning technology investment, digitalization, and data initiatives directly with business priorities and value creation.

• Strategic Partner Beyond IT — Support the development and transformation of your business with an experienced executive who understands value creation, not just infrastructure.
• Strategy Definition & Execution Oversight — Define a pragmatic technology strategy aligned with business objectives, then ensure disciplined execution, governance, and measurable impact.
• Enable Controlled Digitalization — Provide guidance on “how to do digital right”: AI, data, automation, and modernization initiatives that are feasible, value-driven, and aligned with core processes.
• Bridge Between Business & Technology — Translate business goals into actionable digital programs, giving CEOs, CFOs, and COOs confidence in technology decisions.
• Independent Perspective — Bring an objective, vendor-agnostic view to architecture, sourcing, and investment priorities.
• Cost-Efficient Leadership — Access top-tier CIO experience on a flexible basis — typically 20 % of the cost, with up to 80 % of the impact.
• Scalable Engagement Model — From a few days per month to targeted transformation phases, adapting to organizational scale and maturity.

An Interim CIO provides immediate, senior technology leadership to guide organizations through critical inflection points — carve-outs, restructurings, cost-out programs, or digital transformations.


The mission is simple: stabilize, transform, and hand over stronger than before.

Unlike consultants who advise from the outside, an Interim CIO steps in as a full executive leader — assuming operational control, realigning teams and partners, restoring performance, and preparing the company for sustainable growth or exit readiness.

• Carve-Out Leadership — Execute complex separations from parent companies under tight timelines; design and deliver Day-1 readiness, stand-alone IT, and transition services (TSA negotiation, migration, and exit).
• Cost-Out & Turn-Around Execution — Drive restructuring and cost-reduction initiatives that lower IT OPEX and CAPEX while preserving service quality; establish sustainable benchmarks (typically ≤ 2 % of revenue).
• Transformation Under Pressure — Lead multi-year digital and organizational change programs across ERP, infrastructure, and business systems, aligning IT delivery to business value and EBITDA impact.
• Exit-Ready Operations — Prepare IT for due diligence and transaction readiness with documentation, KPIs, and robust governance.
• Rapid Stabilization & Recovery — Take control of critical operations, mitigate outages or delivery risks, and restore stakeholder confidence within weeks.
• ERP & Core-System Recovery — Refactor and stabilize key enterprise systems (ERP, PLM, OT, finance, trading) to secure operational continuity and performance.
• Vendor & Cost Optimization — Consolidate suppliers, renegotiate contracts, and install governance for transparency and value-for-money sourcing.
• Organizational Rebuild & Leadership Reset — Redesign IT operating model, define accountabilities, and recruit or coach leadership for long-term success.

On the buy side of a transaction, technology risk and separation complexity can make or break enterprise value.


This service provides fact-based IT due diligence and carve-out planning for private equity investors, portfolio operators, and corporate acquirers — combining deep operational experience with transaction discipline.

The goal: understand what you’re buying, what it will cost to separate, and how to achieve operational independence fast — without value leakage.

• Investment Risk Transparency — Deliver clear visibility of IT landscape, cyber posture, and technical debt to support valuation and risk pricing.
• Carve-Out Readiness Assessment — Identify dependencies on the seller’s systems, contracts, and personnel; quantify separation effort and stand-up complexity.
• TSA (Transitional Service Agreement) Design & Negotiation — Define the exact services, durations, and costs required for Day-1 continuity; ensure realistic exit timelines and cost control.
• Separation Roadmap & Budget — Build actionable 100-day and 12-month carve-out plans with realistic resource, cost, and sequencing assumptions.
• Target Operating Model Definition — Design a right-sized IT organization, service model, and governance structure for the standalone or integrated entity.
• Integration Synergy Modeling — Quantify cost synergies and system consolidation opportunities for roll-up or platform strategies.
• Cyber & Regulatory Compliance Review — Evaluate data-handling, access control, and critical vulnerabilities that could impact transaction risk or closing.
• Execution Oversight — Support the buyer post-close through vendor selection, TSA exit management, and IT transformation program setup.

Digital transformation and AI adoption succeed or fail based on one factor: data quality.
Without disciplined data governance, any automation, analytics, or AI initiative will produce inconsistent, unreliable results — turning strategic ambitions into tactical noise.

This service focuses on helping organizations establish the foundations for successful digitalization: data architecture, governance, ownership, and value-driven AI adoption.
The objective is not to “do AI for the sake of AI,” but to build a trusted, high-quality data environment that enables automation, insight, and decision-making with measurable business impact.

• Data Governance First — Define ownership, accountability, and data-quality standards across systems and business functions. Without this, digital and AI initiatives inevitably fail.
• Data Quality as a Strategic Asset — Build consistent, accurate, and timely data pipelines that become the single source of truth for reporting, automation, and AI.
• Enterprise Architecture Alignment — Map data flows and dependencies across ERP, CRM, PLM, and manufacturing systems to eliminate silos and duplication.
• AI & Automation Readiness — Identify AI use cases (forecasting, quality control, service automation, predictive maintenance) and assess feasibility, data maturity, and ROI potential.
• Data & BI Modernization — Design or refactor data warehouses, self-service BI, and reporting frameworks to enable reliable decision support.
• Governance Framework Implementation — Establish data councils, quality KPIs, metadata catalogues, and stewardship roles to sustain long-term integrity.
• Pragmatic AI Strategy — Move from experimentation to deployment: ensure data pipelines, model lifecycle, and validation processes are ready for scale.
• Outcome-Focused Roadmap — Combine quick wins (automation, RPA) with foundational improvements (data quality, master data, integration) to deliver visible results within 3–6 months.

Cybersecurity today defines operational continuity, regulatory compliance, and enterprise value.


For industrial and PE-backed organizations operating across Europe, new frameworks such as NIS2 make cybersecurity governance and resilience a board-level obligation. A single incident can halt production, trigger legal exposure, and erode valuation.

This service helps organizations build measurable, certifiable, and regulation-aligned cybersecurity maturity. Using ISO 27001, NIST CSF, and NIS2 as guiding frameworks, the focus is on creating defensible, auditable resilience that protects critical assets while keeping operations agile and cost-efficient.

• Comprehensive Maturity Assessment — Evaluate current posture against ISO 27001, NIST CSF, and NIS2 requirements; identify regulatory gaps and prioritize remediation.
• NIS2 Compliance Framework — Translate directive obligations (governance, supply-chain security, incident reporting, resilience) into actionable policies, controls, and reporting structures.
• Risk-Aligned Cyber Strategy — Focus investments on business-critical systems and processes, balancing security and productivity.
• Policy, Governance & Audit Readiness — Implement control frameworks, risk registers, and documentation meeting ISO 27001, NIS2, GDPR, and insurer expectations.
• OT and Industrial Security Hardening — Strengthen manufacturing and operational technology environments through segmentation, monitoring, and zero-trust architectures.
• Immutable Backup & Recovery — Deploy tested, ransomware-resilient backup and disaster-recovery strategies ensuring rapid recovery and minimal data loss.
• Simulation & Awareness Programs — Conduct Red/Blue/Purple-team exercises, phishing-resilience campaigns, and crisis simulations to maintain readiness.
• Certification & Continuous Improvement — Achieve and sustain ISO 27001 certification, demonstrate NIS2 compliance maturity, and maintain insurer- and customer-approved cyber posture.

Servitization is the strategic transformation from a product-centric to a service- and solution-oriented business model.


For industrial and manufacturing companies, this means evolving from one-off equipment sales to recurring, performance-based service revenues — offering uptime, efficiency, and lifecycle value rather than just hardware.
This service helps organizations design, digitalize, and scale their service business, combining operational experience with modern digital capabilities such as contract digitalization, IoT connectivity, and predictive analytics.


The result: stronger margins, higher customer retention, and a more resilient revenue mix.

• Business Model Transformation — Redefine offerings from product sales to outcome-based services (“power-by-the-hour”, “asset-as-a-service”) to create recurring revenue and long-term customer relationships.
• Contract Digitalization — Implement end-to-end digital lifecycle management for Customer and Material Service Agreements (CSA/MSA), including pricing, entitlement, and renewal processes.
• Field-Service Integration — Connect service execution with contract data, scheduling, and performance analytics to improve uptime and customer satisfaction.
• Asset Performance Management & Predictive Maintenance — Deploy IoT and data-driven insights to optimize service intervals, reduce downtime, and improve profitability.
• Digital Twin & Remote Monitoring — Leverage real-time operational data for performance tracking, simulation, and customer transparency.
• Margin Intelligence & Analytics — Introduce dashboards and KPIs to track contribution margin, service mix, and utilization efficiency.
• Change Enablement & Organization Design — Develop the structure, roles, and incentives required to support a service-oriented business model.
• Scalable Digital Foundation — Integrate PLM, ERP, and CRM data flows to support configurators, quoting, and customer-portal capabilities at scale.

Limited budget, but big AI ambitions?

Not every company can afford to hire a full-scale AI team or take the financial risks of experimenting with emerging technologies. But that shouldn’t stop you from innovating. CIOlogix offers a low-cost, high-quality Near-Shore AI Lab — your dedicated extension for AI research, development, and deployment.

Based in Chișinău, Moldova, our AI Lab combines affordability with European-grade standards, giving your business the power to:

• Prototype, train, and deploy AI solutions without high upfront costs.
• Access experienced data scientists, ML engineers, and analysts on demand.
• Collaborate seamlessly in your timezone — near-shore efficiency, no offshore headaches.
• Scale flexibly as your AI needs grow.

Why Moldova?

Our location gives you the best of both worlds — EU proximity, competitive pricing, and skilled technical talent.

With the CIOlogix AI Lab, you get AI innovation without financial risk — a smart, scalable path to building AI-driven capabilities for your business.