Most enterprise AI development projects are slower than they need to be because teams are building foundational infrastructure that already exists. Deciding which models to use, building orchestration layers, implementing governance and monitoring, writing evaluation frameworks — these are solved problems that consume sprint capacity without producing business value. Catalyst Enterprise removes that overhead by pairing your team with Catalyst AI Partner, which has already solved these problems and knows how to apply them to your specific architecture.
The engagement runs in a structured engagement, with your development team pair-programming with Catalyst AI Partner throughout. From the first session, Your Personal Partner begins learning your codebase: your architecture patterns, your naming conventions, your testing approach, your deployment infrastructure, and the specific decisions your team has made about how to build. The duration scales to scope — five days delivers a targeted fleet capability, a full engagement delivers a complete production deployment with full Orion configuration. By the end of the program, Your Personal Partner has a detailed model of how your team builds software.
Production-Grade Compass Fleet Deployment
The primary output is working Compass fleet deployments — not prototypes or proof-of-concepts, but production-ready agent configurations running against your actual data and workflows. Catalyst AI Partner guides the configuration of the specific fleet capabilities your business has prioritized: the agent types, the data connections, the workflow integrations, and the output formatting required for your downstream systems.
The fleet configurations are built on Compass’s modular architecture, which means they compose incrementally. You ship the core capability within the engagement, and subsequent additions do not require rebuilding what is already working. The modular approach also means Catalyst AI Partner can continue to accelerate fleet expansion after the program ends, because it already knows your patterns and your codebase.
Orion Configuration and Infrastructure
The program also covers Orion configuration — the infrastructure layer that runs your Compass fleet in production. This includes Orion Runtime model routing configuration for your cost and quality requirements, Orion Governance rule setup for your regulatory and compliance environment, and Orion AI Meta Framework deployment on your infrastructure.
Getting Orion configured correctly for your environment is the difference between AI that works in a demo and AI that operates reliably at enterprise scale. The program covers the specific configuration decisions that matter for your workloads: model selection policies, quality thresholds, governance rules, monitoring setup, and alert configuration. Your team leaves with a running, configured Orion deployment — not a configuration guide to implement later.
Codebase Learning That Compounds
The acceleration effect compounds over time. Catalyst AI Partner learns your architecture during the engagement and continues to accelerate all subsequent projects — code reviews, debugging sessions, new feature development, and architectural decisions. Teams report that work expected to take weeks takes days once Catalyst AI Partner knows their stack, and that new engineers come up to speed faster because it can explain the codebase in the context of the decisions that shaped it.
This is the structural difference between a training program and a working engagement: after training, the team has knowledge. After this program, the team has a technical partner that knows their specific codebase and keeps getting more useful the longer it runs.
- Compass fleet configuration — build and deploy production-ready agent fleets against your data and workflows; modular architecture means incremental expansion
- Orion deployment — configure model routing, governance rules, and monitoring for your specific environment and compliance requirements
- Codebase learning — Catalyst AI Partner learns your architecture, conventions, and patterns from day one; continues to accelerate all subsequent projects
- Production graduates — teams ship real AI systems, not prototypes; the output is working code your business can deploy and measure
- Technical pair-programming — Catalyst AI Partner writes code with your team, reviews architectures, and debugs deployments throughout the engagement
- Cohort option — run with your full engineering team for maximum knowledge-building and the fastest transfer of codebase model across the team