AI agents that do real tasks.
AI agent development
In simple words: We build AI agents that do work for you, like researching companies, drafting emails and updating your CRM, with a person approving anything important.
Custom AI agents that plan steps and take real actions in your tools: research, qualify leads, update your CRM and follow up, with guardrails and human review.
For example: A sales team spent hours finding the right contact at each target company. Reps start each day with researched leads instead of a blank list. See how we did it ↓
The problem
Why teams come to us
Your chatbot can talk but cannot do anything, and your team still handles the same multi-step tasks by hand.
What you get
- A custom AI agent scoped to one clear business process
- Tool connections: email, CRM, Sheets, Slack, webhooks and APIs
- n8n and/or Python logic so the agent takes real actions
- Guardrails, approval steps and logging
- Setup notes and a test run on your process
- Optional FastAPI or multi-step agent system
Benefits
What changes for your team
Hours of manual work handled automatically
Consistent, logged actions
Human approval where it matters
Grows with your process
How it works
From first call to working result
- 1
Discovery call
A free 30-minute call to map your goal, sources, volume and where the result should land. NDA on request.
- 2
Sample first
We build a small working sample so you can check fields, format and quality before the full build.
- 3
Build & test
We build the full solution, test it on real data and edge cases, and share progress as we go.
- 4
Deliver & support
You get the result, the source code and short handover notes, plus fixes during the support window.
Example project
A lead research agent
- The challenge
- A sales team spent hours finding the right contact at each target company.
- What we built
- We built an agent that searches the web, reads company sites, verifies emails and writes qualified contacts to the CRM for a rep to approve.
- The outcome
- Reps start each day with researched leads instead of a blank list.
An illustrative example of a typical AI agent development engagement.
Use cases
Where this helps
Tech stack
Tools we use
FAQ
Questions about AI agent development
Which AI models do you use?
OpenAI GPT, Anthropic Claude, Google Gemini or open models, depending on your needs and budget.
Can the agent make mistakes?
Yes, like any system. We add guardrails, validation and human approval steps for important actions.
Do I need to provide API keys?
Yes, you provide keys and tool access so everything runs under your accounts.
Related services
Often combined with
Ready to talk about AI agent development?
Send a short brief or book a call. A senior engineer replies within a few hours.