One working AI agent for one defined process. In production within 2-4 weeks, with human escalation built in, fixed price upfront.
30 minutes, free of charge, no sales pitch
From healthcare to SMEs — we make AI practical and measurable.
Concrete numbers and cases from Capgemini's 2025 research and public reports from Klarna, JPMorgan and reMarkable.
54% of enterprises now run AI agents in production (Capgemini 2025). The experiment phase is over, and the SME window to lead early is closing.
Average ROI on production agents (same Capgemini research). Not a pilot promise, a measurable outcome on concrete processes.
Klarna replaced 700 full-time customer service roles with agents and then scaled back for the complex cases. The valuable lesson: escalation belongs in the design.
JPMorgan runs 450 use cases in production, reMarkable shipped one agent for one process in three weeks. That second one is the SME-realistic template.
Concrete numbers from our clients
AI-driven lead capture with email and WhatsApp automation, connected to CRM.
AI-driven intake module for vehicle photos. Automatic appraisal and faster processing.
Chat-driven AI assistant for the homeless. 8 aid organizations bundled into one access point.
From first conversation to a working agent in production, with measurement and knowledge transfer.
Together we determine which process is most suitable as a first use case: volume, rules, risk and feasibility at SME scale.
Scope, deliverables and deadline on a single page. You know upfront what you'll get, when, and what it costs. No open ended commitments.
We build the agent with clear escalation rules (human-in-the-loop where needed) and connect it to your existing systems. Live within 2-4 weeks.
Telemetry so after 2 months you can say with hard numbers what improved. Plus documentation, so your team can extend the system themselves.
No pilot without an end, no abstract advice. A concrete system that fully runs one process, with escalation built in and measurement from day one.
5 professionals from Groningen
AI Strategy & Business Optimization
AI Implementation & Innovation
AI Engineer
AI Engineer
AI Engineer
Enterprises that succeed don't pick one big roadmap, they start small: one clearly defined process per agent, with escalation to humans for edge cases. Klarna learned that even they had to scale back for the complex cases. JPMorgan chose 450 separate use cases instead of one mega project. The common thread: scope discipline and human-in-the-loop.
Not with a 50-page strategy or a Deloitte deck. With one defined process that takes a lot of time and has clear rules (customer questions, quote drafting, invoice classification, contract review). reMarkable built one working agent in three weeks. That is the SME-realistic template: one process, one agent, in production within 2-4 weeks.
Processes that are recurring, have clear rules, and where a mistake can be corrected before it reaches the customer. Concretely: first-line customer questions, quote drafting from templates, invoice classification and booking proposals, contract review against house rules, supplier confirmations. During the agent scan we pick the best fit together based on volume, rules and risk.
Pricing varies by scope. After the free 30-minute agent scan we know which process we'll automate and how much work it involves. You then receive a fixed-scope quote upfront, so no open ended commitments and no surprises later. An investment, not a cost: the return sits in time saved on the recurring task.
Once the quote is approved, the first working version is in production within 2-4 weeks, connected to your existing systems. We measure from day one, and after 2 months you'll have hard numbers on the KPIs we agreed upfront. No pilot without an end, just an agent that gets work done.
We design for that from day one. Every agent has clear escalation rules: as soon as the input falls outside agreed scope or confidence is too low, it goes to a human. That's exactly the Klarna lesson: agents are strong on the routine, humans stay essential for the edge cases. Human-in-the-loop is not a weakness of the system, it's part of the design.
30 minutes, free of charge. One process, one working system, fixed price upfront. Together we determine which use case is most suitable and what an honest estimate of feasibility and investment looks like.
