AI Automation
AI agents and automation that do real work.
Chatbots, document processing and LLM-powered tools integrated directly into how your team already operates, whether that's your ERP, CRM, support desk or internal systems.
Talk to us about AI automationIntegrated, not a standalone demo
AI agents connected to your actual systems and data, so they produce usable results, not just a chat window.
Built with guardrails
Clear boundaries on what the AI can and can't do, tested against real scenarios before launch.
Measured on real outcomes
Time saved, tickets resolved or documents processed: tracked, not just assumed.
Technologies we use
- OpenAI / Claude APIs
- LangChain
- Vector databases
- Python / Node.js
What's included
- A use-case discovery session to identify where AI actually saves time in your business, not where it just sounds impressive.
- Design of the AI agent or chatbot, including what data it can access and what actions it can take.
- Integration with your ERP, CRM, support desk or internal tools, so the AI acts on real data.
- Document processing and data extraction, where unstructured documents need to become structured data.
- Testing and guardrails so the AI behaves predictably in edge cases, not just the happy path.
- Staff training and ongoing monitoring once the AI agent is live.
Our process
- 01
Discovery
We identify the specific, measurable task the AI should handle, and what data it needs access to.
- 02
Design & prototype
A working prototype tested against real examples from your business, not generic demo data.
- 03
Build & integrate
The AI agent is connected to your actual systems, with guardrails for what it can and can't do.
- 04
Monitor & improve
We track real performance after launch and refine the agent based on actual usage.
Frequently asked questions
What can AI automation actually do for my business?
Common use cases include customer support chatbots, document and invoice processing, internal knowledge assistants, and automating repetitive decisions inside your ERP or CRM.
Will the AI have access to our sensitive data?
Only what's needed for the task, with guardrails defined during the design phase. We review data access and privacy as part of scoping.
Do we need our own AI or data science team?
No, we handle the technical implementation. Your team just needs to be available for the discovery and testing phases.
What happens when the AI gets something wrong?
We build in guardrails, confidence thresholds and human-review steps for cases where the AI shouldn't act alone, and monitor performance after launch.
Can this integrate with the ERP or software you already built for us?
Yes, and it's often the most effective setup since the AI agent can act directly on data it already has access to.
Pricing
Pricing depends on the use case, the systems it needs to integrate with, and the volume of data or requests involved. We'll quote after a discovery session.
Tell us about your project.
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