AI agents development
AI agents that do the work. Inside your systems, under your rules.
We build agents that read, decide and act across your tools, with people approving the steps that matter. You start with one workflow and a pilot that has to prove its numbers.
Is this for you?
An honest check before we build.
A good fit if…
A repetitive workflow eats hours every week.
The work spans several tools and systems.
You need proof before a bigger budget.
Your data can’t leave your own environment.
Probably not for you if…
A simple automation would do the job.
You want a chatbot demo, not a working system.
Nobody can tell us how the work gets done today.
You need it live by next Friday.
The service
Reason
Act
Hand off
What we build
01
Knowledge
Knowledge agents
Answer questions from your documents, with sources cited.
02
Workflow
Workflow agents
Run multi-step processes across your CRM, ERP and inbox.
03
Customer
Customer-facing agents
Support, triage and booking, with a person stepping in when needed.
04
Multi-agent
Multi-agent systems
Specialist agents working together on complex, long-running work.
Use cases
01
Finance
Invoices and expenses
Extract, match, flag and post to the ERP.
02
Support
Ticket triage and replies
Sort, answer from the knowledge base, escalate the rest.
03
Sales
Lead research and CRM upkeep
Enrich, qualify and log, without the copy-paste.
04
Operations
Document-heavy back office
Contracts, compliance checks, reports and handovers.
Data security
Your data stays yours.
Where it runs
Your cloud region of choice, private cloud or on-premises.
Open-weight models for fully private setups.
No training on your data. Ever.
Everything runs in your accounts.
How we keep it compliant
GDPR, HIPAA and SOC 2-aligned practices.
EU AI Act readiness where it applies.
Role-based access for every tool an agent uses.
Full audit logs, and a person in the loop for sensitive steps.
Engagement
A pilot with numbers. Then you decide.
Before we start, we agree on one workflow, a fixed price and the numbers the pilot has to hit. The cost depends on how complex the workflow is, how many systems it touches, how clean the data is and where it needs to be hosted. If the pilot misses its targets, you’ve spent a pilot budget, not a project budget.
From kickoff to a measured pilot.
Fixed pilot price, agreed upfront.
Tech stack
01
Models
LLMs
OpenAI, Claude and Gemini via API, or Llama, Mistral and Qwen hosted privately.
02
Orchestration
Agent frameworks
LangGraph, CrewAI, OpenAI Agents SDK, and MCP for tool access.
03
Data
Retrieval and memory
pgvector, Qdrant, rerankers and document parsing.
04
Quality
Evals, guardrails, ops
Langfuse, Ragas, guardrails, FastAPI and n8n, on Docker and Kubernetes in AWS, Azure or GCP.
Process
Small scope. Real data.
Measured at every stage.
Case studies
Agents in production, and what changed.
FAQ
What’s the difference between an AI agent and a chatbot?
How much does an AI agent cost?
How long does it take?
Can it run in our own environment?
How do you handle security and compliance?
Which systems can it connect to?
What if the agent makes a mistake?
Who owns what you build?
