Build lasting AI excellence. Not one-off AI projects.

Savvi's Center of Excellence (AI CoE) gives banks and credit unions a repeatable framework to prioritize, govern, launch, adopt, and scale AI across the organization.
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Why financial institutions
need
an AI CoE?

Most financial institutions recognize that AI is no longer optional. It’s a strategic necessity. But knowing that you need AI and being able to deploy and govern it are two very different challenges.

The Savvi AI CoE helps institutions solve three common pain points:

Limited Resources & Experience

No time, budget, expertise, or infrastructure to build a AI capabilities from scratch.

Disconnected Strategy

Difficulty linking business goals to actionable, high-ROI AI use cases.

Overextended Data Teams

A talented but capacity-strained teams that need proven tools and expert support.

What’s inside the AI CoE?

Savvi's AI CoE combines strategy, governance, technology, expertise,
and enablement into a single turnkey solution.

Ready for a better, safer, and scalable AI?

Let’s talk

Use Case Workshop

Education and Strategy - build the foundation for success.

We educate stakeholders, align business goals with AI use cases, and identify high-ROI opportunities through data discovery and prioritization.

AI CoE - Design & Governance

Framework for success - turn strategy into action.

We design your AI CoE framework, build executive buy-in with live demos and prototypes, while establishing governance and compliance guardrails.

AI CoE - Deploy & Monitor

Move from pilot to production.

We launch your AI and agent solutions, integrate them into your existing systems, and provide ongoing performance monitoring and optimization.

Together, these components help institutions move from AI curiosity to AI capability—quickly, securely, and with measurable ROI.

Why banks and CUs choose Savvi AI CoE?

Expert advisory from people who built AI for FIs

Our AI and banking experts help teams move from ideation to exploration to production with greater confidence.

A secure, low-code AI platform

Our AI platform is purpose-built for financial services to build and deploy models and AI agents.

A use-case library

Pre-built use case library from risk and compliance to growth and member engagement.

Governance and guardrails

Enterprise-grade security and compliance for regulated industries.

With Savvi AI, your institution can move from AI exploration to enterprise execution - quickly, securely, and at scale.

Common questions

  • Do we have to hire a data science team first?

    No. Savvi’s AI CoE is designed to work with your existing business and data teams - regardless of where you are on the AI journey. We focus on empowering teams with knowledge and practical advice on what works and what doesn't in financial institutions. And we can build on what you already have.

    If specific data science expertise is needed for particular use cases, Savvi’s forward-deployed engineers and professional services can fill the gap.

  • How long does an AI CoE engagement take?

    The Savvi Use Case Workshop can take 4 - 6 weeks, however we will only need 4-6 hours total of your team's time. The pilot phase typically lasts 4–12 weeks. Full deployment depends on your chosen use cases, key outcomes, and other dependencies.

  • Can Savvi AI CoE work with my existing systems and vendors?

    Absolutely. Savvi understands that change is more successful when it can work with existing systems and not create new management headaches. Our platform and architecture are flexible - built to plug into existing products and processes using our over 100 pre-built data and system connectors. Anything from Snowflake to SQL and everything in between.

  • Why should I trust Savvi AI?

    Because our team consists of former banking and enterprise AI leaders who know how to turn strategy into execution - we’ve built and scaled AI solutions inside financial institutions and leading brands.

    • Proven Expertise
    • Built for Financial Institutions
    • Strategy to Execution

Ready for a better, safer,
and scalable AI?

Let's talk