AI Transformation

Choose the level of AI transformation your business needs.

Start by identifying where AI can create value, move into production implementation, or establish the architecture and governance required to operate AI across the organization.

01Essential

AI Strategy & Assessment

Understand where AI creates value.

A focused strategy engagement designed to assess AI readiness, identify valuable use cases, evaluate workflows, and create a practical implementation roadmap.

Starting at

9,000+

2–6 weeks

Best For

Organizations beginning their AI journey and needing a clear, commercially grounded foundation before investing in implementation.

Includes

  • AI readiness assessment
  • Workflow analysis
  • AI opportunity map
  • Implementation roadmap

Outcome

A prioritized AI strategy showing where AI can create measurable value, what should be implemented first, and what technical and operational foundations are required.

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02Most Popular
Advanced

AI Implementation

Deploy AI capabilities into operations.

A production implementation engagement focused on building AI-powered workflows, assistants, knowledge systems, automation, and integrations around real business use cases.

Starting at

24,000+

2–6 months

Best For

Organizations ready to move beyond experimentation and implement AI solutions that automate work or improve business operations.

Includes

  • AI assistants
  • Internal knowledge systems
  • Document automation
  • AI workflows
  • API integrations

Outcome

Production-ready AI capabilities integrated into the workflows, systems, and data where they can create measurable operational value.

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03Enterprise

AI Operating Model

Transform AI into a business capability.

A comprehensive AI platform engagement designed to establish the applications, data architecture, agents, retrieval systems, integrations, governance, and operational controls required to deploy AI at organizational scale.

Starting at

48,000+

6–18+ months

Best For

Organizations looking for a comprehensive, scalable AI operating system spanning applications, knowledge, automation, data, and governance.

Includes

  • Custom AI applications
  • RAG systems
  • Agent workflows
  • Data pipelines
  • AI governance

Outcome

An enterprise AI foundation capable of supporting multiple production use cases while maintaining security, governance, scalability, and operational visibility.

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