What we do
Generative AI integration
Language model features inside existing products and back-office tools, designed around a specific task rather than a generic chat window.
AI agents and orchestration
Agents that read, decide and act across your CRM, ERP, inboxes and databases, with explicit permissions and an audit trail for every action.
Retrieval-augmented generation
Answers grounded in your own documents, records and policies. We design chunking, indexing and citation so people can verify what the system says.
Intelligent process automation
Document extraction, classification, routing and approvals that replace copy-and-paste work between tools.
Evaluation and guardrails
Test sets, quality metrics, cost tracking and fallback paths, so a system can be measured and improved rather than trusted on faith.
Typical use cases
- Lead qualification and enrichment before a sales rep ever sees the record
- Invoice, contract and onboarding document processing with exception queues
- Support triage, drafted replies and knowledge lookup for agents
- Weekly reporting summaries generated from live operational data
- Internal search across policies, manuals and product documentation
Technologies
- Python
- Node.js
- LLM APIs (provider-agnostic)
- Vector search
- Workflow engines
- Webhooks and queues
Deliverables
- Use-case assessment and data review
- Working integration in a staging environment
- Evaluation set and quality report
- Runbook for monitoring and cost control
Delivery process
Discover
We map the process as it actually runs, not as the org chart describes it, and agree on the measures that matter.
Planning a ai & automation project?
Send us the context, the systems involved and the deadline.