Your AI roadmap is ready.
Delivery is the gap.
Most AI programs don't fail at strategy. They stall when it's time to execute. Hiring takes too long. Internal teams are stretched.
M.M. gives you a fully managed AI delivery squad — onboarded today, operational within days.
Process
From discovery to
first delivery cycle.
Designed to reduce delays, clarify ownership, and move your program into active delivery within weeks.
Discovery & Scoping
We assess program goals, internal systems, and delivery blockers. You receive a defined scope and team structure for approval.
Team Assembly
Roles are selected based on required capabilities and timeline. The team is onboarded immediately and operational within 2–4 weeks.
Onboarding
A dedicated Team Lead handles system access and workflow setup. An inception sprint confirms priorities and success metrics.
Active Delivery
Work runs in structured sprint cycles with clear ownership. M.M. remains accountable for performance while you retain full visibility.
Comparison
Resource Augmentation
vs. TaaS
A strategic look at what you actually buy and who owns the outcome.
See It In Action
Watch how TaaS
changes the delivery game.
Within 80 seconds, see how TaaS compares to resource augmentation and why the difference matters for your AI program.
- Why buying output beats buying hours
- What accountability looks like end-to-end
- How TaaS adapts as your program evolves
The Squad
The team that delivers
your program.
Every role purpose-built for AI delivery. Pre-vetted, immediately available.
Team Lead / Scrum Master
Owns delivery end-to-end. Manages sprint cycles, tracks progress, and escalates risks early.
Business Analyst / AI Consultant
Translates business objectives into clear delivery requirements and user stories.
AI Engineer
Builds LLM integrations, retrieval pipelines, and workflow automation.
ML Engineer
Develops models, training pipelines, and infrastructure.
Solution Architect
Defines system design, integration patterns, and infrastructure.
Data Analyst
Prepares and analyzes data for AI systems.
Security Specialist
Covers threat modeling, secure development, GDPR, ISO 27001, and SOC2.
Frontend Developer
Builds user-facing applications meeting performance standards.
Backend Developer
Develops APIs, services, and data pipelines.
UX / UI Designer
Delivers research, wireframes, and production-ready designs.
QA Engineer
Defines and executes test strategy across each sprint.
Why M.M.
Built for delivery.
Not for billing.
A team ready from day one, with clear ownership that holds as your program evolves.
Up and running in 2–4 weeks
We maintain a bench of verified specialists. Assembly begins immediately, no delays from hiring role by role.
Pre-assessed AI specialists
AI Engineers, ML Engineers, and Solution Architects assessed against current tools before any engagement.
One lead, full accountability
A dedicated Team Lead owns sprint commitments, quality standards, and every milestone.
Adapts as your program evolves
Roles added, replaced, or scaled as priorities shift, no contract renegotiation required.
Full oversight, zero micromanagement
You stay informed through steering meetings and live dashboards. Hands-off oversight done right.
Fixed monthly, no surprises
Pricing based on agreed team composition. No open-ended billing or lengthy renegotiations.
Trusted By
Teams that chose outcomes
over hours.
No commitment required.
We start with a conversation.
Tell us where you are. We'll tell you exactly what your squad looks like.