Multi-agent crews
Planner, worker and reviewer agents collaborate and check each other's output.
AI Agents
AI agents that do real work.
Chatbots answer questions. AI agents get things done: they read emails and documents, call your systems, make decisions according to your rules and ask for approval when it matters. Vymavix builds agents tailored to your processes — secure, auditable and GDPR-compliant.
What we deliver
Connected to your systems
Secure tool use via APIs: ERP (e.g. SAP, Microsoft Dynamics), CRM, email, Microsoft 365, databases.
Human-in-the-loop
Clear approval steps for critical actions — people stay in control.
Audit trail & logging
Every decision and action is recorded and traceable.
GDPR & EU hosting
Optional deployment in EU data centres, with a data processing agreement and data minimisation.
Measurable results
Every agent is evaluated against agreed metrics — before and after go-live.
Typical use cases
Invoice & document processing
Read incoming invoices, match them to purchase orders, flag variances and prepare approvals.
Customer service
Classify tickets, resolve routine cases autonomously and hand over complex ones with a summary.
Sales & CRM
Research leads, keep CRM data clean, draft follow-ups and prepare meetings.
Procurement & supply chain
Chase order confirmations, update delivery dates in the ERP and flag risks.
How we work
- 01
Discover
Understand your processes, data and goals — and find the use case with the fastest ROI.
Week 1 - 02
Prototype
A working proof of value on your real data, measured against clear metrics.
Weeks 2–4 - 03
Deploy
Securely integrated into your systems — with monitoring, guardrails and human-in-the-loop.
Weeks 5–8 - 04
Evolve
Continuous evaluation, improvement and new automations.
Ongoing
FAQ
What's the difference between a chatbot and an AI agent?
A chatbot answers questions. An AI agent pursues a goal, plans the steps and carries them out — fetching data, updating systems, sending emails — and checks the result.
Are AI agents safe enough for real business processes?
Yes, when built properly. We use least-privilege access, approval steps for critical actions, full logging and testing against real cases before an agent goes live.
How long does it take to build an AI agent?
A first working agent on your real data typically takes 3–6 weeks. Production rollout usually follows within a few more weeks.
Which systems can be connected?
Essentially anything with an API: ERP and CRM systems, Microsoft 365, Google Workspace, ticketing tools, databases and internal applications.
Let's talk about your project.
Tell us briefly where you stand. Within one business day you'll get an honest assessment and concrete next steps.