We design, build and run AI agents that handle work your team does by hand today: answering customers, processing documents, updating records, following up on leads. Each agent works inside your tools, follows the rules you set and asks for approval when it should.
What we do
- Customer-facing agents
- Back-office agents
- Human approval built in
An agent is worth building when a task is frequent, follows a pattern you can describe, and still needs judgment that a simple rule cannot capture.
That describes a large share of operational work: reading an email and deciding what to do with it, checking a document against a purchase order, answering a question from the knowledge base, chasing a missing piece of information. Until recently, only a person could do it. Today a well-designed agent handles most of these cases and passes the rest to your team with the context already gathered.
We build agents for production, not for demos. That means a clear scope, access limited to what the agent needs, tests on your real cases before launch, and monitoring once it is live. You can see every action an agent takes, and why it took it.
A good fit if
- Your team spends hours each week on the same type of request or document
- You are hiring to keep up with volume rather than to grow
- Response times suffer in the evening and at weekends
- You tried a chatbot and it could not actually do anything
Agents that answer your customers on your website, by email or on WhatsApp, using your own documentation and order data.
- Answers based on your content
- Order, booking and account lookups
- Hand-over to a person with the full conversation
Customer-facing agents
Agents that answer your customers on your website, by email or on WhatsApp, using your own documentation and order data.
- Answers based on your content
- Order, booking and account lookups
- Hand-over to a person with the full conversation
- 01
Week 1
Pick the right task
We review candidate processes with your team and choose the one with the best mix of volume, value and feasibility.
- 02
Weeks 1 to 2
Design the agent
Goal, tools, permissions, approval points and success metrics. Everything is written down and validated with you.
- 03
Weeks 2 to 5
Build and test on real cases
We build the agent, connect it to your systems and test it on past cases until it reaches the agreed accuracy.
- 04
Weeks 5 to 6
Supervised launch
The agent works on live cases while your team reviews its output. Its autonomy grows step by step.
- 05
Ongoing
Monitor and improve
We track accuracy, volume and time saved, and adjust the agent as your processes change.
Models
- OpenAI
- Anthropic Claude
- Mistral
- Open-source models
Agent frameworks
- LangGraph
- LangChain
- OpenAI Agents SDK
- Custom orchestration
Channels
- Website chat
- WhatsApp Business
- Slack
- Microsoft Teams
Systems
- Odoo
- HubSpot
- Salesforce
- Zendesk
- Shopify
- Custom APIs
- 01
Repetitive requests handled day and night, without extra hires
- 02
Faster replies to customers and colleagues
- 03
Fewer manual errors and less rework
- 04
A complete record of every action taken
- Agent specification: goal, scope, permissions and metrics
- A working agent connected to your systems
- Test set and accuracy report
- Monitoring dashboard and action log
- Documentation and team training
- A tuning period after launch
No. A chatbot answers questions. An agent can also act: look up an order, update a record, create an invoice, send a follow-up. Many of our agents never chat with anyone at all. They work in the background on documents and requests.
Further reading
Related services
Book a free audit. We will look at your processes and recommend the service with the fastest return.