AI Operating Model

AI is an operating model problem, not a tech problem.

AI tools spread faster than the structures, skills and discipline needed to run them reliably. Automating a flawed workflow only scales the problem. Humatica defines how AI is organized, governed, owned and funded, so high value opportunities are identified and captured from pilot to full roll-out. Priority is given to use cases that deliver both near-term savings and long-term business model benefits.

Enable decentralized innovation and scale proven value.

AI application ideas come from the business and not just a central team. We establish the governance, guardrails and deployment process that allows safe local-build while ensuring successful scale-up of use cases across the enterprise.

Organize your proprietary expertise and data for competitive advantage.

Business value comes from combining AI models with the organization’s proprietary knowledge, unique expertise and data. We help companies to structure and operationalize their knowledge so it can be embedded in AI-powered processes and decision-making. Humatica co-delivers agentic workflows and the operating models to run them, not just recommendations.

Beyond efficiency.

Efficiency gains matter. But competitors with the same models will match them. We help clients go beyond savings to realize new capabilities, products and business models that AI makes possible while enabling greater speed, agility and reach.

Build capability that lasts.

AI systems require clear ownership, accountability and ongoing improvement. We embed decision rights, operating rhythms, measurement, change management and capability building so value continues to compound long after initial deployment.

For Private Equity partners

A repeatable framework to assess AI readiness, identify value creation opportunities, and build the organizational capability required to capture them. Prioritize investments that drive EBITDA during the hold period while strengthening the strategic equity story at exit.

For business leaders

The operating model and proof points to move from AI experimentation to business impact. Establish clear ownership, governance and deployment disciplines, focus resources on the highest-value opportunities, and build the organizational capability to sustain AI-driven EBITDA improvement over time.

Global safety equipment and services provider

The client wanted to leverage AI to improve how it sells complex products and services across its international network. Humatica supported the redesign of the commercial operating model to leverage AI to scale technical sales support to distributed field sales and customer service teams around the globe. Roles, governance, curated data flows and knowledge processes were designed to deliver fast results.

Impact: Topline growth through higher win rates. Efficiency savings delivering 0.5 percentage point EBITDA uplift.

Global B2C technology company

A private equity owned, international buy-and-build, the client wanted to build on AI to improve operational efficiency across its end-to-end operations, spanning supply chain, customer service and field service. Humatica assessed activities, roles and processes enterprise-wide to establish where AI could create the greatest impact and built a prioritised roadmap with agreed implementation actions.

Impact: A prioritised portfolio of AI-enabled initiatives with identified savings potential of 12% of annual operating cost over the short and medium term, and an agreed action plan owned by management.