You want to move faster with AI, but progress stalls when teams are stretched, skills are limited, and strategy and execution don’t meet.

Our AI Collaboration as a Service plugs expert support directly into your workflows, helping your team deliver real outcomes without heavy programs or rigid contracts Right here. Right now.

One‑team

model

Our experts work alongside your frontrunners as part of your AI function

Just‑in‑time expertise

Activate roles, tools, and accelerators only when you need them

Faster

delivery

Move from idea to execution without bottlenecks

Proactive guidance

We help shape what’s next, not just what’s scoped

Scalable

support

Adjust pace, scope, and focus areas as your journey evolves

You’ve got the ambition. Here’s how we turn it into motion.

How it works?

Collaborative kick-off

The engagement begins with a collaborative discovery kick-off where we work together to align on your priorities, capabilities, and desired outcomes. In this stage, our teams jointly uncover high‑value opportunities, define what success looks like, and build a shared understanding of your AI vision – ensuring we start with clarity, alignment, and a focus on delivering meaningful impact.

Joint team set up

We form a hybrid taskforce that brings together your frontrunners and our AI experts into one integrated team. With clearly defined roles, governance structures, and working rhythms, this joint team ensures the perfect blend of domain expertise and technical depth enabling informed decisions, faster progress, and a truly collaborative build‑out throughout the engagement.

On-demand activation

We activate specialized expertise, accelerators, and reusable components as your needs evolve, allowing your teams to scale AI capabilities dynamically. This flexible model ensures that the right skills, whether AI engineering, architecture, UX, or use‑case design, are brought in at exactly the right moments, accelerating value while avoiding unnecessary overhead.

Guidance + enablement

Throughout the engagement, our expert will provide ongoing guidance to shape the AI roadmap, ensuring alignment with governance standards, and recommend next steps. At the same time, enablement activities equip your teams with the knowledge, tools, and practices needed to operate and extend the solutions. As capabilities mature, ownership is gradually transitioned through structured handoff, ensuring that you can independently maintain, evolve, and scale the AI initiatives.

AI in Action – Right here. Right now.

Your AI is moving, but is your data keeping up?

Data readiness for AI

Give your AI what it needs to work: clean, governed, real-time data.

A governed, real‑time data fabric that unifies data in motion + data at rest into one trusted, shared semantic layer. Fresh context, single access, safe write‑backs, and end‑to‑end lineage. So every app, dashboard, and AI agent operates on clean, consistent, accountable data.

Why it matters

• One fabric of truth – aligned definitions, fewer reworks, faster decisions
• Always‑fresh context – insights without the stitching or delay
• Safe, auditable write‑backs – integrity preserved for AI and automation
• Built‑in governance – clear ownership, reduced compliance risk.

How it helps

• One business language across teams – faster, aligned decisions.
• Fresh, reliable context for AI/agents – no stale data, no fragmentation.
• Unified, real‑time access (no stitching, no batch delays).
• Safe, auditable write‑backs with full lineage and policy‑as‑code.

Our experts

    Joakim Wahlqvist

    Joakim Wahlqvist

    Global Head of Data & AI, Sogeti

    Jidnyasa Kudalkar

    Jidnyasa Kudalkar

    Go-To-Market (GTM) Lead for Global Data & AI portfolio

    Prithvi Krishnappa

    Prithvi Krishnappa

    Practice VP for Data and AI at Sogeti USA

    Eddy Visser

    Eddy Visser

    Lead Data & Data Platform