How we work
How we work
Everything behind the short version on the home page: why now, the roles we source, our process, the industries we serve, the EU AI Act timeline and the questions buyers ask.
Why now
The problem
Tools are easy to buy. The people who make them work are not.
Most teams already have AI licences, a pilot or two and a backlog of ideas. What they lack is the experienced people to take one use case to production safely and prove it works.
Pilots stall without owners
A demo works, then nobody has the time or skills to harden, integrate and run it.
No evidence it is safe to release
AI agents change with every prompt, model and data update. Without evaluation, every release is a guess.
Regulation lands on full teams
AI Act duties for transparency, literacy and high-risk systems arrive while your best people are busy delivering.
Roles
Specialists for every stage of AI in production
AI agent engineer
Builds production agents: tools, RAG, orchestration, integrations.
AI QA & evaluation specialist
Turns AI quality into test suites, evals and release evidence.
LLMOps / AIOps engineer
Runs AI in production: monitoring, cost, drift, incidents.
MLOps engineer
Pipelines, model deployment and reproducible training.
Data & AI governance specialist
AI Act, AVG/GDPR, model risk, documentation and oversight.
AI security & red-team expert
Prompt injection, data leakage and unsafe tool use.
AI platform & integration engineer
Connects AI to your systems, cloud and data.
AI quality lead
Owns the quality strategy from pilot to scale.
How it works
From first call to a working expert in your team
Share the need
Tell us the role or outcome, seniority, time zone and start date. A 15-minute call or the form is enough.
We shortlist
Practitioners screen candidates with real agent, evaluation and ops tasks. We aim to introduce the first profiles within days.
You choose
You interview the people you like and make the decision. We agree scope, model and terms up front.
Day-one start
Your expert starts with an onboarding plan and early goals. We check in regularly so impact shows early.
Why AI AgentOps
Specialised, practical, close by
Vetted by practitioners
Screened by people who test and run AI agents in production, so you meet people who can do the work.
Only AI roles
We focus on AI engineering, quality, operations and governance. That focus is the whole point.
Europe and USA
Access to specialists across the EU and the US, with time-zone overlap planned in from the start.
Dutch-based
A Dutch company with Dutch contracts, AVG/GDPR care and engagement models that fit Dutch rules.
Impact from day one
Clear goals for the first weeks, so your team sees value early rather than after a long ramp-up.
Tools and people
If you need them, our own evaluation and testing toolkit comes with the expert.
Industries
Built for regulated, high-volume organisations
Banking & fintech
Credit and fraud models, customer agents, model-risk and AI Act evidence.
Insurance
Claims and underwriting assistants, pricing models, fairness and oversight.
Logistics & e-commerce
Customer-service agents, planning and forecasting, multilingual support.
Public sector
Responsible AI, transparency, algorithm registers and procurement-ready documentation.
Telecom & customer service
Conversational AI at scale, regression testing on every release.
Healthcare & life sciences
Documentation-heavy AI with privacy and safety at the centre.
EU AI Act
Deadlines that need people, not just policies
Transparency and AI-literacy duties are enforced from 2 August 2026. High-risk rules for Annex III systems follow on 2 December 2027. We provide the specialists who build the evidence: risk classification, evaluation, logging, human oversight and documentation.
- 2 Feb 2025AI literacy (Art. 4) and prohibited practices apply
- 2 Aug 2026Most rules apply: transparency (Art. 50) and enforcement start
- 2 Dec 2027High-risk rules for Annex III systems
- 2 Aug 2028High-risk AI in regulated products (Annex I)
Free AI Agent Readiness Audit
Answer a few questions and see where your team stands on AI agents: use cases, data, quality, operations and governance. It takes about five minutes.
FAQ
Common questions
What does AI AgentOps do?
Two things. We source and place vetted AI specialists in your team, from across Europe and the USA. And we deliver AI agent services: build, test and evaluation, operations (AIOps) and EU AI Act readiness.
Which AI roles can you source?
AI agent engineers, AI QA and evaluation specialists, LLMOps/AIOps and MLOps engineers, data and AI governance specialists, AI security and red-team experts, AI platform and integration engineers, and AI quality leads.
How fast can an expert start?
We aim to introduce the first profiles within days of a clear brief. The start date then depends on the candidate's notice period and your onboarding. Many specialists can start right away.
Which engagement models do you offer?
Interim, secondment (detachering), a project team around one outcome, and remote or nearshore work with EU or US time-zone overlap. We choose the model with you, with Dutch rules such as the Wet DBA in mind.
How do you vet candidates?
Practitioners who build and test AI in production screen every candidate with practical tasks in agents, evaluation and operations. You then interview the people you like and make the decision yourself.
Do you work outside the Netherlands?
Yes. We are based in the Netherlands and work with clients and specialists across Europe and the USA, remotely or on site.
What does it cost?
It depends on the role, seniority, location and model: a day rate, a monthly retainer or a fixed-scope project. After a short intake you get a clear proposal. There is no fee for the first conversation.
Can you help with the EU AI Act?
Yes. We help you classify your AI systems, close gaps in testing, logging, human oversight and documentation, and build AI literacy. We are not a law firm, so we work alongside your legal advisers.
Tell us who you need
Share the role or the problem. We reply within one working day.