Accelerator Teams
The full-stack team your roadmap has been missing.
AYBI Accelerator Teams embed a full-stack data and AI team alongside your organisation, delivering value sprint-by-sprint while building your internal capability.
In plain words
Accelerator Teams give you a ready-made data team that works as part of your organization. Instead of hiring individual specialists or bringing in consultants project by project, you get the mix of data engineering, analytics and BI expertise your roadmap needs. The team works in fixed sprints against shared priorities, while helping strengthen the capability of your own people along the way.
Core capabilities
A delivery model built for momentum, continuity and capability that lasts.
PAINS AND GAINS BY ROLE
CEO
Strategy and Direction
Today
Your data strategy is real, but execution keeps slipping. Recruitment takes quarters. Consultants leave when the project ends. The ambition you committed to in the last strategy cycle has not moved
With Accelerator Teams
A full-stack data team, already formed, productive from day one, committed for three years and accountable against a roadmap you co-own. AI-ready from day one through AI Accelerate activation.
What it delivers
What it delivers: Value delivered every 3 weeks, measurable quarterly, compounding over a 3-year horizon. A data function that delivers against your strategy without you having to build it, and an AI runway that activates the moment you are ready.
CFO
Investment & Control
Today
Your data spend is a patchwork of freelancers, T&M invoices and surprise overruns. Wet DBA risk is real. You cannot forecast next quarter, let alone next year.
With Accelerator Teams
A fixed, predictable quarterly cost (€150-200k standard, €250k+ extended), billed quarterly in advance. Scale the team up or down within one contract. AI modules price separately through AI Accelerate when activated, no surprises.
What it delivers
Zero freelancer risk, zero hidden T&M overruns, zero Wet DBA exposure, zero surprise invoices. A line on your P&L that behaves, today and when AI comes on board.
CIO / COD
Landscape & Delivery
Today
You have senior data people who keep leaving because there are no peers. Your team is a collection of individuals plus a rotating cast of freelancers, not a function. Every AI vendor who pitches you wants to replace your team, not work with it.
With Accelerator Teams
A team that integrates with your existing people instead of competing with them. Programs successfully delivered at organizations with 70+ branches. A proven Data Operating Model that absorbs rather than replaces your team. AI capability added through AI Accelerate modules when the foundation is ready for it, not bolted on from outside.
What it delivers
Your senior data professionals finally have the peers they have been asking for. Retention goes up, because the work gets better. And when AI enters the roadmap, it enters the same team, not a parallel one.
Head of Data
Team & Execution
Today
You have been trying to hire a senior data engineer for nine months. The one you hired last year just left. Every quarter the data function shows up on your attrition risk list. On top of that, leadership keeps asking when AI use cases go live, while your team is still firefighting data quality.
With Accelerator Teams
The talent problem, solved as a service. No recruitment cycle, no retention battle, no onboarding ramp. AI agents and AI governance activated through AI Accelerate when the data foundation supports it, so your team ships AI use cases on ground that actually holds.
What it delivers
A data function that scales up or down inside a single contract. Zero open roles that you own. A clear path from stable data foundation to shipped AI use cases, without two separate teams.
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15 min
AI READINESS SCAN
3–5
USE CASES PRIORITIZED
Built on
AZURE, TRUSTFLOW AND YOUR EXISTING DATA FOUNDATION
Meet the team before you commit to the roadmap.
One session to scope the roadmap, the mix of skills it needs and how the team would fit inside yours. One session, no obligation. If it doesn't fit, we say so.
