What this covers
Automation can mean rules-based orchestration, RPA-style tasks, or model-assisted workflows. We start from the job-to-be-done and data reality, then choose techniques that are proportionate and maintainable.
- Process mapping and automation opportunities
- Integrations between CRMs, ERPs, support tools, and custom apps
- LLM-assisted workflows with guardrails, logging, and human review where needed
- Analytics pipelines for reporting and operational metrics
Responsible delivery
We care about privacy, retention, and explainability appropriate to your sector. Prototypes are useful; production systems need ownership, monitoring, and clear failure modes.
- Data minimisation and access control patterns
- Evaluation criteria for model or prompt-based features
- Operational monitoring and rollback paths
Ideal when you need
- To remove repetitive manual work at scale
- Smarter routing, classification, or extraction from unstructured data
- A grounded roadmap from “AI ideas” to shipped features
