Your best engineers are stuck.
On document work.
Every hour your team spends on merchant onboarding docs, compliance alerts, or contract reviews is an hour not spent on Agentic Commerce, Dynamic ID, or your next breakthrough.
Where your engineers work now
Where they should be working
This is not an AI problem.
This is a priority problem.
You have €150M+ R&D budget. You can build this yourself.
But should you?
→ Month 1-2: POC works on 10 test documents
→ Month 3-4: Edge cases explode
→ Month 5-6: Security review, compliance, stagnation
→ Month 7+: "Other priorities", project on hold
Meanwhile, your best people aren't working on what makes Adyen great.
90 days
Production-ready. Your team learns alongside.
We exist because enterprise AI projects fail.
And we know why.
Knowledge
How others approach it
Generic AI consultants that do everything
How we approach it
Only document intelligence. 50+ projects. 500+ edge cases seen.
Execution
How others approach it
Advisory reports, your team has to build
How we approach it
We build embedded in your team. Working code in 4 weeks.
Handover
How others approach it
Vendor lock-in
How we approach it
Your team learns along. After 90 days you can continue yourself.
We have:
→ 500+ documented document edge cases with solutions
→ Pre-built integrations with compliance databases (World-Check, Dow Jones)
→ Evaluation frameworks that guarantee 99% accuracy in production
→ Fintech-specific knowledge: KYC/AML per jurisdiction, PEP screening patterns
A generic AI consultant has to figure this out.
We've already done it.
From document to decision.
In production. In 90 days.
Discovery & MVP
What happens
- Access to your systems
- Data audit
- Working MVP on 1 use case
Deliverable
Functional prototype processing real documents
This is what we build for you
Merchant Onboarding
The Problem
Every new merchant costs 2-4 hours of manual document verification. 47 document types. Manual data entry. Errors. Delays.
Our Solution
AI agents that classify documents, extract data, validate against external sources, and route accordingly.
Results
- 80% automatic processing
- 15 minutes per merchant (was 2-4 hours)
- <1% data entry errors (was 12%)
Click to expand →
Compliance Alert Triage
The Problem
95% of PEP/sanction alerts are false positives. Your analysts spend 90% of their time clearing nothing. Adyen's own target: 90% automation.
Our Solution
AI agents that enrich context, assess probability, and auto-clear 90% with audit-ready dossiers.
Results
- 90% alerts auto-cleared
- Analysts focus on the 5% that matter
- From 45 minutes to 3 minutes per alert
Click to expand →
Contract Intelligence
The Problem
Nobody knows what's in your contracts. Pricing agreements scattered. MFN clauses unknown. Renewal dates missed. Millions at risk.
Our Solution
All contracts indexed, searchable, with proactive alerts. "Which merchants have MFN clauses?" → Answer in 30 seconds.
Results
- Query time: 2 weeks → 30 seconds
- No missed renewals
- Pricing conflicts detected upfront
Click to expand →
Dispute Automation
The Problem
Chargeback disputes: data from 6 systems, tight deadlines, inconsistent responses, low win rates. 4 hours per case. 8% missed deadlines.
Our Solution
AI agents that automatically collect evidence, generate responses, and predict win probability.
Results
- 20 minutes per dispute (was 4 hours)
- 0% missed deadlines
- Win rate: 45% → 62%
Click to expand →
No theory. This is what we've built.
Challenge
Roadside assistance workers must decide in <2 minutes based on 50+ document types of policy terms.
Our Solution
AI agents framework for real-time decision support.
7 months
to production
<3 sec
query response
97%
accuracy
85%
field adoption
Relevant for Adyen
Same pattern — complex decision, scattered data, time pressure, high volumes.
300+ organizations per year through The AI Group. Enterprise-grade. Production-proven.
- AFAS
- ANWB
- Wolters Kluwer
- TravelEssence
- The Onion Group
- AMI Kappers
- InShared
- Meijers Verzekeringen
- Heijmans
- Act Legal Netherlands
No buzzwords. This is what we use.
What everyone has (commodity)
- → GPT-4, Claude, Gemini
- → Vector databases
- → LangChain, LlamaIndex
What we have (our edge)
- → 500+ edge case library with solutions
- → Accuracy evaluation framework (99%+ guarantee)
- → Pre-built compliance integrations (World-Check, Dow Jones, Chamber of Commerce API)
- → Fintech-specific knowledge (KYC/AML per jurisdiction, PEP patterns)
The technology is commodity.
The integration experience is not.
Not a casual consultation.
A concrete 2-hour session where we:
- 1Identify your top 3 document/data pain points
- 2Quick assessment: which has highest ROI?
- 3Technical feasibility check
- 4Create concrete proposal outline
Output: Prioritized use case + solution direction + timeline.
If there's no fit, we'll tell you.
Prefer to call first?