Choose your deployment model.
The Maxx Stacks intelligence layer ships in three models. Same platform. Different operational structure. Pick the one that matches your team's capacity, your organization's control requirements, and the outcomes you're targeting.
Three models. One intelligence layer. Your choice.
Every organization is different. Some have deep engineering capacity and want full control. Others are scaling fast and need a partner. Some want outcomes without the overhead. The intelligence layer is identical across all three — what changes is who operates it and how responsibility is divided.
Your team runs the Maxx Stacks intelligence layer. We provide the platform, documentation, onboarding, and technical support. You maintain full control of configuration, deployment, and day-to-day operation.
- Full MSIL platform access
- Onboarding & training program
- Complete documentation library
- Technical support SLA
- AI automation tool suite
- Agent deployment pipelines
Maxx Stacks and your team share operational responsibility. We handle platform operations, AI agent tuning, and performance monitoring. Your team drives business logic, decisions, and outcome definition.
- Platform operations by Maxx Stacks
- AI agent tuning & monitoring
- Business logic owned by your team
- Shared governance framework
- Regular intelligence reviews
- Dedicated operations contact
Maxx Stacks runs everything. AI agents deployed, monitored, tuned, and governed by our team. You define outcomes and review results. No internal AI team required.
- Full-service intelligence operations
- Agent deployment & governance
- Continuous monitoring & tuning
- Monthly outcomes reporting
- Dedicated intelligence team
- SLA-backed performance guarantees
What's included in each model.
Same platform. Same intelligence layer. The differences are entirely operational — who configures it, who monitors it, and who governs it.
Find your model in 30 seconds.
Three scenarios. One answer each. Walk away knowing which deployment model fits your organization right now — and where you'll likely be in 18 months.
Self-Operated gives your team the platform, tooling, and support — your engineers configure and run the intelligence layer on your terms.
Co-Managed splits operational responsibility so you can move at speed without building a complete internal AI team first.
Autonomous means Maxx Stacks handles deployment, monitoring, tuning, and governance — you focus on results, not operations.
NOT SURE? START HERE.
Every qualified organization receives a deployment recommendation as part of the access process. Tell us where you are — we'll tell you which model fits and what the path forward looks like.
Request Access →The intelligence layer never changes.
Regardless of which deployment model you choose, you're running the same Maxx Stacks intelligence layer. MSIL is identical across Self-Operated, Co-Managed, and Autonomous. The AI agents, the data connectors, the decision engine, the audit trail — all the same.
What changes is operational structure. Who configures the environment. Who monitors performance. Who tunes the AI agents. The underlying capability you're purchasing is constant.
This means switching models is a structural change, not a technical migration. Your data, agents, and configurations move with you.
Persistent intelligence layer with continuous data processing, pattern detection, and decision execution
Pre-built connections to CRM, ERP, data warehouses, and enterprise APIs — available in all models
Every AI agent action logged, timestamped, and retrievable — governance built into the platform
Boundary enforcement, escalation rules, and compliance controls baked into every deployment
Deployment FAQ.
Ready to deploy your intelligence layer?
Access is qualification-based. Tell us about your organization and we'll recommend the right deployment model for where you are today.