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Build a framework to scale AI responsibly

We build the strategy, governance and operating model to improve analytics and scale AI, starting with an AI readiness assessment.

// The challenge

Strategy and governance drift apart

Data, analytics and AI grow through separate teams and priorities, leaving decisions inconsistent and accountability unclear.

  • Priorities compete across teams
  • Governance varies by capability
  • Ownership and decision rights are unclear

// Our approach

One direction for analytics and AI

We assess the current state, define the future state and build the roadmap, with an AI readiness assessment as one input.

  • Strategy, action plan and roadmap
  • Governance and decision rights
  • Operating model and maturity

// Why Pivot Point Consulting

Governance that works in practice

We bring together healthcare AI strategy and analytics expertise with workflow knowledge so governance fits how the organization works. We help leaders set priorities, decision rights and ownership, and assess healthcare AI readiness.

Our teams work across analytics operating models, data platforms, native AI, AI platforms, predictive models and agents. That gives us a practical view of governance, from intake to monitoring.

// Success story

Results that speak for themselves

Real outcomes from our AI readiness assessment clients.

Read more success stories
Large academic medical center
Multipleacquired community hospitals

Success story · Analytics transformation

Academic medical center aligns KPIs across a growing health system

After the acquisition of multiple community hospitals, Pivot Point helped a large academic medical center integrate data, align KPI definitions and expand analytics capabilities across the enterprise while addressing unique local reporting needs.

// What we cover

Assess, strategize, govern, operate

Current state and maturity

Understand how data, analytics and AI capabilities work today, where gaps exist and what is limiting progress. We assess strategy, governance, operating model, data maturity, skills, processes and technology to establish a realistic starting point.

  • Current-state assessment
  • Analytics and AI maturity
  • Governance and stewardship review
  • Operating model assessment
  • Skills and organizational readiness
  • Gap analysis
Consultant and client at a laptop during an AI readiness assessment
// FAQs

Healthcare AI strategy & readiness FAQs

Our most frequently asked healthcare AI strategy questions, answered.

Have any questions? →

An analytics and AI operating model defines how strategy, governance, delivery and decision-making work across the organization. It clarifies roles, decision rights, intake, prioritization, accountability and how analytics and AI capabilities are managed over time.

//Work with us

Ready to align analytics and AI around a clear strategy?

Talk to us