What is SAIGE?
SAIGE is a capability model and service suite that helps organizations plan, build, and scale AI in a structured and practical way. It guides decision-makers through every stage of the AI journey, whether they’re just getting started or working to embed AI into daily operations.
The model is built around 18 core AI capabilities, covering strategy, readiness, operations, governance, and adoption. These capabilities help assess current maturity, identify gaps, and shape AI initiatives that are scalable, ethical, and aligned with real business needs.
The challenge with enterprise AI Initiatives
Most organizations start their AI journey with big ambitions, but 80% of AI projects end in failure. That’s twice the failure rate of non-AI tech initiatives. And even when projects are completed, 75% of businesses don’t see a return on their investment.
Why does this happen so often? Poor alignment with business strategy, weak communication, limited infrastructure, and unrealistic expectations are just some of the reasons.
Too often, AI projects are launched without a solid foundation. SAIGE helps address some of the most common challenges, like:
Projects that aren’t tied to clear business goals
Poor communication between technical and business teams
Prioritizing cutting-edge tools over solving business needs
Ignoring feasibility and limits of current AI tech
No infrastructure to support deployment at scale
SAIGE helps close these gaps and gives organizations a clearer path forward.
The SAIGE Capability Model
SAIGE consists of 18 core capabilities spanning the full AI lifecycle—strategy, governance, delivery, and adoption. It offers a structured, enterprise-grade approach to embed AI in a way that is responsible, scalable, and results-driven.
The capabilities are organized across three domains:
AI Strategic Elements
Define leadership vision, business alignment, and cultural readiness.
AI Governance & Measurement
Ensure ethical, secure, and performance-oriented implementation.
AI Center of Excellence
Enable agile delivery, cross-functional collaboration, and internal capability building.
What SAIGE Offers
SAIGE offers a clear, staged approach to AI success. Each service is designed to support a key part of the AI journey. Whether you’re just getting started or scaling across the enterprise, there’s a way forward.
Readiness scan
This diagnostic helps you understand where your organization stands today. It evaluates AI maturity, strategic alignment, and key risks. Best suited for early-stage teams or leadership groups that need a clear starting point.
Blueprint
This service is designed for building a targeted AI strategy. It connects your AI plans to corporate goals and regulatory requirements. The outcome is a structured roadmap with priority use cases and investment areas.
Engine
The Engine sets up the operating model and governance needed to run AI at scale. This can include launching internal AI hubs or Centers of Excellence. It supports rollout, capability-building, and long-term value tracking.
Spark
Our series of discovery workshops help you identify and refine AI use cases. These sessions reduce trial and error by connecting business goals directly to technical exploration.
Adoption
Getting people to use AI is just as important as building it. The Adoption service supports change management, user engagement, and leadership alignment so that AI becomes a core part of everyday work.
Orchestrator
Orchestrator helps manage AI initiatives across the business. It brings structure to vendor oversight, timelines, risk management, and delivery. Ideal for organizations juggling multiple AI projects.
Academy
Academy sessions build internal skills across executives, managers, and technical teams. They’re designed to increase confidence, improve understanding of AI concepts, and reduce reliance on external consultants.
Launchpad
Launchpad is focused on running pilots and MVPs that show real value before scaling up. It helps build stakeholder confidence, speeds up internal learning, and avoids overcommitting too early.
Impact Lab
Impact Lab creates a dedicated space for AI innovation inside the organization. It provides a structured environment for testing ideas, exploring new approaches, and scaling what works. It’s well suited for teams that want to stay competitive without taking unnecessary risks.
Readiness scan
This diagnostic helps you understand where your organization stands today. It evaluates AI maturity, strategic alignment, and key risks. Best suited for early-stage teams or leadership groups that need a clear starting point.
Blueprint
This service is designed for building a targeted AI strategy. It connects your AI plans to corporate goals and regulatory requirements. The outcome is a structured roadmap with priority use cases and investment areas.
Engine
The Engine sets up the operating model and governance needed to run AI at scale. This can include launching internal AI hubs or Centers of Excellence. It supports rollout, capability-building, and long-term value tracking.
Workshops
A structured discovery series to identify and shape AI use cases with measurable business impact. Outcome: Clear alignment between technical feasibility and organizational priorities.
Services
Facilitate cultural integration and organizational readiness to support AI at scale. Outcome: Increased adoption, reduced friction, and accelerated time-to-value.
Orchestrator
Structured program oversight to manage multiple AI initiatives with full visibility. Outcome: Reduced delivery risk, improved accountability.
Academy
Customized training for executive, business, and technical teams to build internal AI literacy. Outcome: Empowered teams with reduced reliance on external consultants.
Launchpad
Design and support the launch of AI pilots and MVPs. Outcome: Early validation, stakeholder alignment, and scalable prototypes.
Impact Lab
Establish an internal AI innovation hub supported by a diverse ecosystem of partners. Outcome: Controlled experimentation, accelerated innovation, and repeatable success.
A Structured Engagement Model
SAIGE engagements are structured into practical phases. Each stage helps move from big-picture vision to hands-on execution. Here’s what the process typically includes:
Discovery and Assessment
This phase builds a clear picture of where your organization stands today. It lays the groundwork for everything that comes next.
What’s included:
- Kickoff sessions to align on goals and expectations
- Focused workshops to gather input from key teams
- An AI maturity assessment covering current capabilities
- A gap analysis to understand where pain points are and what’s holding progress back
- A summary of findings tied to potential business outcomes
AI Strategy and Roadmap
Once there’s a clear view of the current state, this phase defines the direction forward. It results in a practical strategy and roadmap to follow.
What’s included:
- A documented AI strategy linked to business goals
- A prioritized list of initiatives based on value and feasibility
- Initiative briefs that show what each idea could look like in practice
- An updated view of your capability needs and areas for investment
- A step-by-step roadmap to guide early and future efforts
Building the AI Operating Model
With a roadmap in place, this phase sets up the structure to deliver consistently. It ensures AI is repeatable, measurable, and embedded into day-to-day work.
What’s included:
- Execution of quick wins and high-impact pilots
- Medium- and long-term plans for capability building
- Design of roles, governance, and delivery structures
- Tracking progress through agreed value metrics
- Reporting that highlights wins and uncovers gaps
Driving Adoption
Even the best strategy falls short without internal adoption. This ongoing phase helps people across the organization engage with AI meaningfully.
What’s included:
- Change management plans that support new ways of working
- Leadership alignment to reinforce adoption
- Practical incentives that support the right behaviors
- Tools and touchpoints that make AI easy to use and access
- Regular check-ins to track engagement and skill growth
Fast-Track your Projects with AI Catalyst
For teams looking to move fast or test new ideas, AI Catalyst offers additional hands-on support:
Set up internal AI hubs
Co-develop solutions with expert teams
Rapid prototyping and pilot design
Host hackathons to surface new ideas
Explore our 18-point AI capability framework and see how SAIGE can transform your organization.
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