DEPLOY ASSESSMENT · 6 QUESTIONS
Find your
deployment model.
Three deployment models. One right answer for your organization. Answer six questions about your team, maturity, and requirements — and get an immediate recommendation with full explanation.
MODEL A
Autonomous
Maxx Stacks manages everything. You define outcomes.
MODEL B
Co-Managed
Shared operations. Expert support meets internal ownership.
MODEL C
Self-Operated
Your team owns configuration and operations end-to-end.
TAKE THE ASSESSMENT
Deployment Assessment
Six questions.
One clear answer.
Select the option that best describes your organization. Your answers are weighted to recommend the deployment model best suited to your current situation.
Q1 OF 6
How large is the team that will own and operate your AI deployment?
No dedicated AI team — this would be owned by existing operations or IT
1-3 people with some AI or automation experience
4-10 people, including engineers and operations specialists
10+ people with dedicated AI engineering capability
Q2 OF 6
How would you describe your organization's current AI maturity?
We are just starting — no AI in production yet
Experimenting — a few pilots but nothing at scale
Scaling — AI in multiple functions with defined governance
Operating — AI-native operations with active intelligence systems
Q3 OF 6
What is your target deployment timeline?
As fast as possible — we need results within 30 days
60-90 days — we can be deliberate but urgency is real
3-6 months — we want to implement thoughtfully
6+ months — this is a strategic long-term investment
Q4 OF 6
How would you describe your organization's internal AI capacity?
We have no internal AI expertise — we need full support
We have business experts but limited technical AI capability
We have technical capability but limited AI operations experience
We have strong AI engineering and operations teams
Q5 OF 6
What level of control over your AI configuration is most important to you?
We want full Maxx Stacks management — outcomes matter more than control
We want shared control — collaborate on key decisions, delegate execution
We want primary control — Maxx Stacks advises, we decide and operate
We want full ownership — complete control over every configuration
Q6 OF 6
What is the primary driver for your deployment decision?
Speed — we need the fastest path to operational AI
Capability — we want access to Maxx Stacks expertise
Learning — we want to build internal AI capability over time
Control — we want to own and govern our own AI stack
YOUR RECOMMENDATION
ALL DEPLOYMENT MODELS
Deployment Models
Three models.
One right fit.
A
Autonomous Deployment
Maxx Stacks manages the full intelligence and automation stack on your behalf. Your team defines outcomes; our team configures, operates, monitors, and optimizes. Best for organizations that need immediate capability without the overhead of building an AI operations team.
BEST FIT WHEN
No dedicated AI team
Fastest time-to-value
Outcome-focused, not control-focused
Budget for managed operations
B
Co-Managed Deployment
Shared operations between your team and Maxx Stacks specialists. You define strategy and own key decisions; our team handles configuration, monitoring, and technical operations. Best for organizations building internal capability while maintaining expert support.
BEST FIT WHEN
Small AI team forming
Building internal capability
Shared governance important
Mid-range timeline flexibility
C
Self-Operated Deployment
Your team owns configuration, management, and optimization of the platform. Maxx Stacks provides the technology, documentation, and enablement resources. Best for organizations with strong internal AI capability that want full ownership of their intelligence stack.
BEST FIT WHEN
Mature AI team in place
Full operational control required
Longer implementation timeline acceptable
Strong internal governance
FAQ
Common questions about deployment models
Self-Operated: Your team owns configuration, management, and optimization of the platform. Maxx Stacks provides the technology and enablement. Co-Managed: Shared operations between your team and Maxx Stacks specialists. Autonomous: Maxx Stacks manages the full intelligence and automation stack on your behalf.
Six questions. Under five minutes. The questions cover team size, AI maturity, budget, timeline, and internal capacity. Your answers generate an immediate model recommendation with explanation.
Yes. Deployment models can be transitioned as your team's capability and confidence grows. Many organizations start Co-Managed and transition to Self-Operated as they develop internal expertise, or to Autonomous as operations scale.
When the assessment indicates strong alignment with more than one model, the recommendation will explain the trade-offs and decision factors. A consultation call with a Maxx Stacks solutions architect can clarify the best path based on your specific context.
NEXT STEP
Know your model. Begin your deployment.
Request access and a Maxx Stacks solutions architect will confirm your deployment recommendation and outline the next steps.