Your AI roadmap is not the problem. Delivery is.
Most AI programs don’t fail at strategy. They stall when it’s time to execute.
Hiring takes too long. Internal teams are stretched. Vendors add complexity instead of momentum.
M.M. gives you a fully managed AI delivery squad that's onboarded today,
and operational within days.
- End-to-end delivery ownership, not just resources
- Built to adapt as your roadmap evolves
What you get in the first 30 days is progress you can measure, not a team you have to manage.
M.M.’s Teams as a Service (TaaS)
How it works
From discovery to first delivery cycle, the process is designed to reduce delays, clarify ownership, and move your program into active delivery within weeks.
1
Discovery and Scoping
We assess program goals, internal systems, and delivery blockers. You receive a defined scope and team structure for approval.
2
Team Assembly
Roles are selected based on required capabilities and timeline. The team is onboarded immediately and operational within 2-4 weeks.
3
Onboarding
A dedicated Team Lead handles system access and workflow setup. An inception sprint confirms priorities and success metrics.
4
Active Delivery
Work runs in structured sprint cycles with clear ownership. M.M. remains accountable for performance while you retain full visibility.
Resource Augmentation vs. TaaS: A Strategic Comparison
Operational Area
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Primary Purchase
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Accountability
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Communication
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Turnover Risk
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Tooling & IT
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Success Metric
Resource Augmentation
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You buy "Time" (Hours Billed).
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You are responsible for success.
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You speak to every individual daily.
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You lose time/money if a hire leaves.
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You provide laptops, licenses, and access.
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Showing up and completing tickets.
Teams as a Service
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You buy "Output" (Outcomes).
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We are responsible for delivery.
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You speak to one dedicated Lead.
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We ensure seamless, instant replacement.
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We bring our own optimized tech stack.
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High-velocity, high-quality releases.
Download a free detailed e-brochure to see how TaaS differs from resource augmentation
The Team That Delivers Your Program
Team Lead / Scrum Master
Owns delivery accountability end to end. Manages sprint cycles, tracks progress, escalates risks early, and keeps work aligned with agreed outcomes.
Business Analyst / AI Consultant
Translates business objectives into clear delivery requirements. Defines epics and user stories and supports use case prioritization where needed.
AI Engineer
Builds AI-driven capabilities including LLM integrations, retrieval pipelines, and workflow automation. Moves from concept to working functionality rapidly.
ML Engineer
Develops and maintains models, training pipelines, and supporting infrastructure. Maintains model performance through monitoring and retraining.
Solution Architect
Defines system design, integration patterns, and infrastructure. Prevents rework by ensuring the solution is scalable, secure, and aligned with long-term requirements
Data Analyst
Prepares and analyzes data for use across reporting and AI systems. Surfaces insights that support product decisions and model performance.
Security Specialist
Applies security and compliance from the start. Covers threat modeling, secure development practices, and alignment with standards such as GDPR, ISO 27001, and SOC2.
Frontend Developer
Builds user-facing applications that meet design, accessibility, and performance requirements.
Backend Developer
Develops APIs, services, and data pipelines. Manages integration with internal systems and external platforms.
UX / UI Designer
Delivers research, wireframes, and production-ready designs to ensure the product is usable and consistent.
QA Engineer
Defines and executes test strategy across each delivery cycle. Ensures quality standards are met and reduces rework before release.
Why Choose M.M.'s Teams as a Service
Working with M.M means getting a team that is ready to deliver from the start, with clear ownership and a structure that holds up as your program evolves.
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FAQ's
How is TaaS different from staff augmentation?
Staff augmentation provides individual contributors and requires your team to manage coordination, priorities, and output.
TaaS is fully managed. M.M. assembles the full team, leads delivery, and owns execution end-to-end. You retain strategic direction and full visibility without managing day-to-day delivery.
How quickly can a team be operational?
Teams are onboarded immediately and reach full operating capacity within 2-4 weeks.
The Discovery and Scoping stage is completed first, typically within the first week. This is followed by team assembly and approval. By the end of onboarding, the team is working inside your environment and operating within your delivery cycle.
Do we need to manage the team on our side?
No.
M.M. handles sprint planning, coordination, performance management, and delivery. Your involvement is limited to strategic direction, sprint reviews, and product decisions.
What happens if the team is not delivering?
Delivery is tracked against agreed sprint goals and clear completion criteria for each task, defined at the start of work. These criteria define what “finished” means for every deliverable in the sprint.
Progress is monitored continuously through dashboards and reviewed in structured monthly sessions. Issues are identified early and addressed through team adjustments or process correction.
What if our requirements change mid-engagement?
Engagements are designed to accommodate change.
As priorities shift, team structure and workstreams can be adjusted without restarting the engagement or renegotiating contracts. Roles can be added, replaced, or scaled based on delivery needs.
How does pricing work?
Each engagement begins with a Discovery session to define scope, team structure, and delivery approach.
You receive a clear team model and pricing before commitment. Pricing is structured as a fixed monthly model based on the agreed team composition, with no open-ended billing.
- 4 Weeks to full team deployment.
- 100% Managed end-to-end.
- 1 Owner accountable for outcomes.