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AI and software development — solutions built around your process
Transparent document cards connected to a coral data core
AI AND SOFTWARE DEVELOPMENT
AI built around your process, not the other way round
RAG, LLM integrations with CRM and ERP, agents with limited permissions, automations and internal applications.
Process before technology
We start by defining what needs to improve: response time, cost of service, decision quality or access to knowledge.
Only then do we choose the model, architecture and integration approach. That way we don't build a solution nobody will use.
| Problem | Typical solution | Metric |
|---|---|---|
| Knowledge buried in documents | RAG + source citations | Time to find an answer |
| Manual data entry | Extraction and validation | Error count and operation time |
| Long handling time | Agent + handover to a human | First response and resolution rate |
How we work
- We define the business goal and data constraints.
- We assess which tasks are a good fit for AI and which are not.
- We build a prototype on real content.
- We ship the integration, safeguards and monitoring.
- We measure the impact and extend the solution.
Security from day one
- Permissions scoped to tools and data, not the whole system.
- A human approves high-impact actions.
- Logs of questions, sources and actions.
- Prompt injection tests and a shutdown plan.
Have a process that eats up time?
Describe it. We'll check whether AI can shorten it, what it will cost and how to secure the rollout.