Applied AI

AI that works inside real operations.

We design AI-enabled workflows for complex business contexts and guide clients from early generative use cases to controlled action and agentic workflows — only where readiness, ownership and operational maturity are proven.

We do not treat AI as a separate technology track. We design AI as part of the operating model: connected to workflows, data quality, decision rights, approval flows, engineering standards and measurable adoption.

Start with the goal

We design around your data quality, business logic, process constraints, and decision flows. Reliable context is the foundation for reliable AI outcomes.

Move at the right pace

We move client by client to the right level for value, risk and operational maturity — not straight to the top.

Keep people in control

Critical decisions and critical actions require human approval. Transparency, explainability, and accountability are built into the operating model from day one.

Ready for production

We connect AI to workflows through approved skills, API and MCP boundaries, logging, monitoring, and rollback patterns so solutions hold beyond the prototype stage.

Scale only when ready

We scale from generative AI to controlled action and agentic workflows only when data, testing, governance, and operations are ready.

Move at the right pace

The maturity path

L1 · Internal GenAI

Search, summarize, draft and answer internal questions from approved knowledge. Low-risk productivity inside teams.

L2 · Operational GenAI

Prepare decisions in workflows: stock, campaigns, support, execution. Workflow owner and KPI are clear.

L3 · Client-facing GenAI

Product guidance, service and self-service with approved content and escalation. Confidence, brand and risk rules are tested.

L4 · Controlled action

AI prepares recommendations, tasks or changes; people approve critical actions. Decision rights and approval flows are live.

L5 · Controlled agentic AI

AI coordinates multi-step workflows across approved skills, APIs and systems. Logging, monitoring and rollback are in place.

Case studies

Proof in production

Selected engagements where applied AI moved from pilot to dependable, controlled operations — matched to each client's readiness, risk and decision rights.

Maxeda

Applied AI to automate packaging artwork creation, reducing manual design effort and accelerating production workflows.

Rent A Car / Enterprise

Modernized a legacy rental platform using AI, delivering a scalable, future-ready engineering architecture.

Growzer

Built an AI-powered ordering, forecasting and inventory management platform with intelligent menu engineering.

Bring us the challenge where data, risk, people and execution need to come together.

Define the path
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Wildstream group

Rijnkaai 100 – 12 B, 2000 Antwerpen