Every team’s AI, one governed platform, now a $100M partnership.
A global growth and creative consulting firm with over $200M in annual revenue unified its AI onto one governed platform, then turned that platform into a $100M partnership.
Global scale. AI adoption running team by team.
A global growth and creative consulting firm, working across 15 offices for some of the largest consumer, healthcare and financial brands in the world.
AI had already proven its value inside the firm. It had never been unified into one platform.
Where the fragmentation was costing them.
Every team found real value in AI. But every team built it differently.
No shared platform
Multiple AI models operating independently, with different teams following different approaches for similar work.
Knowledge stayed local
Valuable consulting expertise developed inside individual engagements was difficult to reuse elsewhere.
Workflows evolved on their own
AI workflows developed independently across teams, limiting consistency across the consulting organization.
Governance became harder to see
Decentralized adoption made oversight and operational visibility increasingly difficult.
What a shared platform actually had to do.
Adding another AI tool wasn’t going to fix a governance problem. Four requirements mattered more than any single feature.
The firm didn’t need another point tool. To run AI across the whole organization, 4 things had to be true together.
Support every model, not one
Give consultants access to multiple frontier and open-source models through one governed interface.
Make institutional knowledge reusable
Surface the firm’s best frameworks and methodologies for every engagement, not just the one that created them.
Standardize without slowing teams down
Bring consistency to consulting workflows while preserving flexibility for different kinds of work.
Govern from a single layer
Role-based access, centralized administration and auditability, from day one.
One enterprise AI platform, built to operate the whole firm’s AI.
Working closely with the firm’s teams, Lyzr designed and implemented a centralized enterprise AI platform that serves as the operational layer for AI across the organization.
Deployed entirely inside the firm’s own environment.
No new infrastructure to stand up. The platform runs inside the firm’s existing environment, authenticated through its existing SSO.
Model access is provisioned per user permission. Every agent and application deploys inside the same environment, so governance and security stay aligned with the firm’s existing standards.
How the platform keeps output governed.
Every application built on the platform inherits the same governance backbone.
From individual tool use to a shared operating model.
Before: every team ran its own models, workflows and frameworks. After: one platform, common workflows, shared knowledge.
What changed.
The internal platform became the foundation for a three-year strategic partnership.
From platform to product roadmap.
The platform is now the foundation for a growing roadmap of AI-powered workbenches, starting with Campaign Marketing, Agentic Workflow Design, and Brand Management, extending the firm’s consulting expertise directly into clients’ hands over the life of the partnership.
Got a use case in mind?
Platform, engineers and governance all in. We’ll map your workflow against the same four tests this one had to pass.
