Your roadmap won't wait for the hiring cycle.
TaaS is a dedicated delivery squad on a monthly retainer: specialist engineers, AI practitioners, and delivery leads who ship continuously and adapt when your priorities shift. No recruiting overhead. No fixed-scope contracts.
Built For
One model that solves the top 8 AI roadmap challenges.
TaaS is for leaders who need specialist delivery now. They've exhausted the runway for a four-to-six-month hiring cycle, or they need capability the internal team doesn't carry.
You're running the roadmap and managing a growing execution gap.
Your team is strong but has limited bandwidth or skills gaps. Every delivery delay lands on your desk, so fixing the capacity problem has become your full-time job.
You have a backlog, but your hiring pipeline moves slower than your roadmap.
The features are scoped and the priorities are set. The problem is finding the right people fast enough.
You're accountable for data ROI. The engineering capacity to deliver it isn't there.
The gap is the muscle: the pipelines, the model infrastructure, the team that turns raw data into decisions.
You need to innovate without touching the systems keeping the business running.
Your core IT estate is stable and that's not changing. Using the same team for both puts both at risk.
Your AI pilot worked. Getting it to production is where everything stalls.
95% of AI pilots never reach production. Production integration and governance are a different discipline from building a demo.
You've closed the round. Investors expect traction. Your runway doesn't allow for a full hiring cycle.
You need senior technical leadership and a delivery team in weeks, not quarters.
You need a delivery partner. Not a consultancy that produces decks.
You need a team that integrates with your existing systems and owns the outcomes.
You're running a transformation programme and contractors aren't giving you accountability.
Individual contractors give you capacity, not ownership. When delivery slips, the problem lands back with you.
The Solution
Pay for expertise,
not a deliverable.
You retain a dedicated delivery squad on a monthly retainer. You set the priorities. We own solution design, delivery quality, and throughput. We're accountable for outcomes, not outputs.
Adapt without renegotiating
Shift scope on the fly or change your team composition without penalties or contract changes. Your retainer covers our team’s time and expertise, and how you use it is entirely up to you.
Continuous delivery without cliff edges
Your squad builds institutional context over time and keeps shipping as long as you need them. No arbitrary project end dates, and no knowledge walking out the door when a contract closes.
You own scope. We own execution.
You decide what gets built and in what order. We own solution design, delivery quality, and throughput.
How It Works
From first conversation
to active delivery.
What customers love most about our TaaS model is how seamlessly it scales — from one squad to six, with the same quality and coordination throughout.
Discovery & Scoping
Structured engagement to understand strategic objectives, tech landscape, team gaps, and delivery priorities.
Team Assembly & Contracting
We match roles from our verified bench. Profiles are presented, contracts are finalized, and onboarding materials are prepared. You approve the final composition.
Onboarding & Alignment
Access provisioning, tool integration, stakeholder introductions, and inception sprint to validate backlog, ceremonies, and Definition of Done.
Active Delivery
Full sprint cadence. Fortnightly steering reviews, weekly sprint demos, real-time Jira/dashboard visibility. We retain line management of all team members.
Continuous Optimisation
Monthly health checks assess composition, tooling, and velocity. Roles can be swapped, scaled, or supplemented. Quarterly business reviews align to strategy.
Model Comparison
Why TaaS over other
delivery models.
Three common ways to staff a technology programme. The difference is where the delivery accountability actually sits.
| Resource Augmentation | Fixed-Bid / Project |
TaaS — Mercurial Minds
Recommended |
|
|---|---|---|---|
| Shared Goals | Disconnected — resource cares about tasks, not your business KPIs | Conflicting — vendor wants to finish fast and cheap; you want quality | Unified — team dedicated to your product roadmap and long-term success |
| Delivery Ownership | Yours alone — if the resource underperforms, it's your management failure | Contractual — vendor owns the list, not the spirit of the product | Collective — vendor manages team performance and velocity so you don't have to |
| Scope Resistance | None — they'll do whatever you say, even bad technical ideas | High — every new idea is met with a Change Request and a new invoice | Adaptive — team expects evolution; they pivot with you without legal friction |
| Success Definition | Hours Billed — success is simply showing up and completing tickets | Milestones Met — checking boxes, regardless of market fit | Outcome Driven — high-velocity, high-quality product release |
The Problem
Fixed-bid AI contracts
create a specific trap.
Website delivery models break when you apply them to AI builds. Inputs change faster than any scope document can keep up with.
You commission an AI build on the best available model.
Scope defined. Price agreed. You're confident about the timeline.
Three months in, a better model drops.
Cheaper, faster, more accurate. These shifts happen every few months in the AI space.
Your provider delivers exactly what was scoped.
Built on a model that's now outdated. Technically complete. Actually a setback.
You're stuck.
Pay more to update. Accept outdated tech. Or start over. None of them feel right.
What this creates
Clients delay AI decisions waiting for the landscape to stabilise. They avoid committing and lose months of competitive advantage to analysis paralysis.
Fixed-bid optimises for output. Outcomes are someone else's problem.Proven Delivery
Three engagements.
Three pivots. Zero restarts.
When priorities shift mid-engagement, TaaS teams adapt without contract disputes or knowledge loss.
Upgrading Lebara's chatbot to a multilingual AI customer service agent
What started as a digital experience rebuild became a wholesale platform change. The team identified the existing chatbot was a dead end, made the case for a switch, and reshaped the programme. Under TaaS, they were accountable for the outcome — not the original scope document.
Download the case study →One tribe. Three ventures. Zero rehiring.
A single Mobility Tribe carried delivery across Zemcar, Grip Mobility, and an Uber-related engagement. Three pivots, no contract restarts, no team rebuilds. When the engagement changed, the tribe adapted without restructuring or knowledge loss.
Local execution for a tier-1 telecom BSS overhaul.
Qvantel needed experienced Pakistan-based teams to support Jazz's Ericsson DBSS transformation. M.M. provided business analysis, infrastructure, NFR, and development squads across seven domains — without Qvantel building a permanent team from scratch.
Commercial Model
One monthly retainer.
No fixed packages.
Every TaaS engagement is scoped at the end of Discovery. Team size, role mix, and duration all shape the final number. There are no standard tiers because no two squads are the same.
Final pricing is confirmed after the Discovery & Scoping session, with no obligation to proceed.
- Resource level and seniority mix
- Engagement length
- Squad size and role composition
- Domain complexity and compliance requirements
Scoped to your squad size, role composition, and engagement duration.
Delivery Capabilities
We don't just advise on AI.
We ship it.
Eight delivery capability areas. Every squad is drawn from the same verified bench, shaped around the actual work required.
Full-Cycle Software Engineering
Frontend, backend, mobile, APIs, microservices, cloud-native builds across Telco, Fintech, and Enterprise platforms.
Human-Centered Product & UX Design
User research, wireframing, prototyping, design systems, accessibility, and interaction design.
Continuous QA & Automation Testing
Manual testing, automated suites, regression, performance, and security testing running in parallel with every build cycle.
Agile Project & Delivery Leadership
Scrum mastery, sprint planning, backlog management, stakeholder alignment, and risk escalation.
Data, Analytics & AI-Driven Solutions
Data pipelines, ML model development, AI integration, analytics dashboards, and business intelligence.
Customer Success & Support Operations
Post-launch support, user onboarding, helpdesk operations, feedback loops, and SLA management.
Scalable IT Infrastructure & Cloud
Cloud architecture, DevOps, CI/CD pipelines, infrastructure-as-code, monitoring and observability.
Intelligent Automation & RPA
Robotic Process Automation, document processing, workflow orchestration, and legacy system integration.
Live Builds in our AI Delivery Practice
AI products being built
right now by our squads.
HR Recommendation Engine
Medium squadAI reviews CVs, performs initial assessments, and recommends matched roles at scale.
AI Audit Solution
Complex squadAnalyses digital asset performance, conducts health checks, and generates anomaly-flagged reports.
Legal & Procurement Contract Agent
Medium squadReviews legal and compliance documents, flags breaches, and advises on remediation.
Meeting & Insights Hub
Complex squadVoice-based AI assistant that captures meeting intelligence and acts as a personal knowledge base.
AI Assistant for Compliance
Basic squadReviews documents and contracts for regulatory compliance, preparing audit-ready outputs.
AI Office & Task Management
Medium squadManages administrative workflows, assigns tasks, tracks progress, and surfaces blockers automatically.
Specialist Bench
220+ specialists.
Every role your squad needs.
Squads are built around the actual work, with the right specialisations for the right phase. Every role has a clear delivery accountability.
- ML Engineer
- LLM Engineer
- AI/ML Architect
- Prompt Engineer
- Data Engineer
- AI Product Manager
- iOS Developer
- Android Developer
- Backend Developer
- Frontend Developer
- Full Stack Developer
- QA Engineer
- DevOps Engineer
- Solution Architect
- Project Manager
- Scrum Master
- Development Head
Internal delivery support behind every squad
Four dedicated roles that never appear on your invoice but underpin every engagement.
Engagement Manager
Senior M.M. contact for the client's executive sponsor. Oversees commercial relationship, escalation path, and quarterly business review facilitation.
Delivery Director
Owns quality across all TaaS engagements. Conducts team health checks, reviews delivery metrics, and manages bench performance.
Talent & Bench Manager
Maintains the verified talent bench, manages onboarding and offboarding of team members, and coordinates rapid role swaps when needed.
AI & Technology Practice Lead
Internal advisory on emerging tools, AI frameworks, and best practices. Runs internal knowledge-share and tooling library across all active squads.
Client Experience
Hear it first from our clients.
"M.M. operated as an extension of our team, bringing the right mix of architecture, digital delivery, and customer experience capability. Their Teams as a Service model gave us access to specialist expertise at the right time — and the flexibility to reshape the programme as our priorities evolved."
