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CRM / HRM / ERP & AI Automation
AI agents connected to your systems and data
An AI agent does a defined job: answers customer questions from your documentation, qualifies leads, prepares a report, or handles a routine request across your tools. We build agents with clear limits so they help your team without acting beyond what you allow.
What we build
AI Agent Development: what you get
- Support and internal-question assistants grounded in your documents
- Sales and lead-qualification assistants connected to your CRM
- Agents that read email or tickets and prepare drafts or actions
- Tool connections through your existing APIs
- Approval steps for sensitive actions, with logs of what the agent did
- Testing on real examples before launch and monitoring after
This is a good fit if…
- Your team answers the same questions repeatedly
- A routine process spans several tools
- You want AI to prepare work for people to approve, not replace them
Typical uses
- An assistant that answers staff questions from your handbook
- A first-reply agent for common customer questions that hands off the rest
- An agent that prepares weekly reports for a person to approve
How it works
A simple process, no surprises
- 1
Discovery
We pick one narrow job for the agent and gather the documents, systems and examples it will use.
- 2
Scope and plan
We write down what the agent may do, what needs approval and how mistakes are caught.
- 3
Build and review
We build it, test it against real questions and tasks, and tune it with your team.
- 4
Deliver and support
We launch to a small group first, watch the logs, then widen access as quality holds.
Technologies we use for this
- LLM APIs
- Retrieval over your documents
- Python / Node.js
- REST APIs
- Vector search
- Monitoring and logs
Reviews
What clients say
★★★★★
“They took a task my team repeated every week and turned it into a single button. Clear communication throughout, and the handover documentation meant we could use it straight away”
FAQ
AI Agent Development: common questions
Can an agent make mistakes?+−
Yes. We design for it: answers are tied to your sources, uncertain cases go to a person, and risky actions need approval.
Will our data be used to train public models?+−
We choose providers and settings that fit your data requirements and agree this before building.
Which tasks are a good start?+−
Narrow, repeated tasks with clear right answers, such as answering questions from existing documentation.
Related services
Need ai agent development?
Tell us one repeated task you would like an assistant to handle. We will suggest what is safe to automate.
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