From data to decision. At scale.
AI Capacity Team
From a Time-Based Model to an Intelligence-Driven Value Model
Time & Materials IT outsourcing has reached a turning point. The rapid adoption of artificial intelligence, competitive pressure, the shortage of specialized talent, and the need to justify investment are redefining the role of technology partners. Simply providing hours is no longer enough. The market demands results, predictability, and the ability to accelerate through AI.
The AI Capacity Team addresses this challenge with a hybrid model that combines specialized human talent and AI agents. People define, validate, and ensure quality. Agents execute. Clients no longer pay for time; they invest in the value delivered.
How it works
AI Agents
They handle end-to-end high-volume execution, from coding and testing to documentation and delivery.
Specialists
They focus on development, business context, and strategy, under the leadership of senior architects.
Context Engineering
Dedicated specialists ensure AI agents work with the right data, in the right context, and with complete security.
Human in the loop
AI autonomy is managed strategically, with clearly defined boundaries. No deliverable progresses without the explicit validation of a senior team member.
Engagement Models
Three Engagement Models
Fixed Sprint
Per delivered module. Fixed price, defined acceptance criteria, and an agreed timeline established before work begins. Ideal for features, APIs, and integrations.
Continuous Capacity
By monthly volume. Subscription-based sprints with flexible client-led prioritisation and real-time delivery tracking. Ideal for continuous roadmaps.
Outcome Share
Outcome-based. Fixed base fee with KPI-linked incentives, regular performance reviews, and full alignment of incentives. Ideal for strategic transformation initiatives.
Onboarding Process
How to get started
The engagement begins in phases, with no upfront commitment.
1. AI Readiness Workshop
No commitment required. An AI and data maturity assessment, including a quick-win opportunities map and a prioritized roadmap.
2. Pilot Sprint
A real deliverable delivered by the squad. Demonstrates the model's speed, quality, and financial efficiency.
3. Strategic Partnership
Scale the Capacity Team to support the full roadmap, with defined SLAs and AI governance in place.
