AI Solutions
Custom AI Agents for Regulated European Businesses
We build secure custom AI agents for specific business processes — inside your environment, with your data, configured for your industry.
AI Development Services Tailored to Your Processes
Every company is doing something with AI. Most of it isn’t working yet — not because the technology doesn’t work, but because nobody made it work for that specific organisation.
We take on that part and configure a custom-made AI agent tailored for your company’s processes and challenges. A dedicated engineer maps your operations, identifies what’s worth automating, and builds an agent that runs inside your actual environment — connected to your systems, configured for your permissions, monitored against outcomes we agreed on before we started.
When the agent is live, we don’t disappear. We run training sessions for your team, provide documentation, and stay available after go-live so the people who use it every day actually know how to get the most out of it.
How AI Agents Apply to Your Industry
Healthcare & Pharma
Challenge
Regulatory and quality documentation — SOPs, validation records, clinical guidelines, product specifications — is high volume, high stakes, and manually reviewed. The cost of working from the wrong version isn’t just operational. It’s a compliance and patient safety issue.
What an AI agent does:
Makes regulatory and quality documentation instantly searchable, surfaces the correct version with a source reference, and supports audit readiness by keeping a clear record of what was accessed and when.
Finance & Insurance
Challenge
Policy documents, compliance manuals, claims procedures — document-heavy, permission-sensitive, and updated constantly. Staff can’t find what they need quickly, so they either waste time or reach for tools that create GDPR exposure. The regulatory cost of acting on outdated information is real.
What an AI agent does:
Searches across the entire document library, returns cited answers from the correct current source, respects access permissions, and keeps everything inside your environment.
Transport & Logistics
Challenge:
Supplier contracts, customs documentation, compliance requirements, and operational procedures pile up across systems and geographies. Finding the right document at the right moment is hard — and in logistics, errors are expensive.
What an AI agent does:
Connects across your document repositories, makes supplier and compliance documentation searchable in seconds, and reduces the operational risk of working from incomplete or outdated information.
Agentic AI Development for Regulated Businesses
Problem-to-Solution Agent
A business department knows something is broken but can’t articulate it in a way IT can act on.
This agent runs a structured conversation — asking the right questions about the process, the data, the constraints, and the outcome. Then it produces a clear recommendation that can be handed directly to IT.
Knowledge Search & Q&A Agent
Internal documents are scattered, inconsistent, and hard to search. Staff resort to public AI tools because nothing internal does the job fast enough — which creates real compliance exposure.
This agent searches across your entire document library, returns cited answers from the correct source, and respects who is allowed to see what. Nothing leaves your environment.
Code Testing & Coverage Agent
AI coding tools have made development faster and test coverage a growing problem.
This agent reviews committed code, generates automated tests, integrates with your CI pipeline, and flags coverage gaps before they reach production.
It runs on every commit — not when someone remembers to check.
Pricing for each agent starts at €1,900 per month, with an initial setup from €20,000. Setup includes scoping, configuration, integrations, access controls, and deployment. The monthly fee covers ongoing operation, monitoring, maintenance, and continuous improvement.
Why Us
We assess before we build
Before anything is built, a dedicated engineer maps your operations. Sometimes the answer is a pre-built agent. Sometimes it’s something custom. Sometimes AI isn’t the right solution yet — and we’d rather say that early.
We define success upfront
Every engagement starts with agreed-upon KPIs — specific, measurable outcomes. We define what success looks like before we start and we make sure it stays after go-live.
We work in regulated environments
We have 20+ years building software for companies in finance, healthcare, and logistics. In these industries, a wrong answer has real consequences. Correct, source-grounded answers with human review aren’t a feature — they’re the requirement.
We take responsibility for the outcome
We monitor against the KPIs we agreed on at the start. If it drifts, we fix it. If your team needs help, we provide it. The engagement doesn’t end at deployment.
Our Success Metrics
How far we’ve come in 21 years of experience in building integrated teams for our partners.
31
Current active
clients
8
Years average client tenure
6
Clients in Fortune 500 Europe
94
2025 Net Promoter Score
270
Professionals in our team
How We Go from Problem to Production
01
Pre-Assessment
We start by defining success in specific, measurable terms — together. What the process should be like, what the expected outcome is, what KPIs we’ll be measuring.
02
Forward-Deployed Engineering
A dedicated engineer maps your operations —what are your systems, your data, and your constraints. The output is an honest plan: what to configure, how, and whether AI is actually the right answer for this process.
03
Integration
The agent is configured or built from scratch, connected to your systems, access controls set, tested against real data. The same engineering rigour we have applied for 20 years.
04
Training & Support
When the agent is live, we run training sessions for your team, provide full documentation, and stay available after go-live. We also monitor against the KPIs from step one — if the agent drifts or the process changes, we adapt it.
Your Data Stays Yours
GDPR compliant
Data is processed and stored in accordance with EU regulations.
EU AI Act ready
We support risk classification and compliance documentation for every use case.
ISO 27001 certified
Our security and data governance practices are designed to meet the standards required in healthcare, banking, and more.
EU hosting options
Deployed in your environment or ours, never on public infrastructure without your sign-off.
Frequently Asked Questions About Custom AI Agents
We’ll tell you before anything is built. Part of the forward-deployed engineering phase is an honest assessment of whether AI is actually the right answer for this process. If it isn’t, you’ll get a clear picture of why, and what would need to change before it makes sense.
No. The point of how we work is that we take on the technical complexity. You need someone who understands the business process well enough to help us map it and someone with the authority to make decisions. Technical capacity on your side is not a requirement.
You own your specific deployed instance and everything configured for your company. Proxiad SEE can build similar agents for other clients based on the same R&D, but nobody else gets access to your data, configuration, or deployment.
Yes — that’s central to how we work. We connect the agent to your actual environment: your document repositories, your authentication systems, your existing tools and workflows. We don’t build in isolation and hand something over that needs a separate setup to function.
We stay involved after deployment. We monitor whether the agent is delivering against the KPIs we agreed, run training for your team, provide documentation, and remain available when the process changes or the agent needs adapting. The engagement doesn’t end at go-live.
Several factors: the complexity of the process being automated, how many systems the agent needs to connect to, the volume of data it works with, the level of compliance documentation required, and whether we’re configuring an existing agent or starting from scratch.
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