What we deliver
- Process automation (RPA) and workflow orchestration
- AI assistants, copilots, and chat interfaces
- Document intelligence and data extraction
- Responsible AI guardrails and governance
Approach
- Discovery: map high-ROI use cases, data, and constraints
- Design: select models, prompts, and architecture patterns
- Build: implement automations, integrations, and safety rails
- Pilot: measure accuracy, latency, and user satisfaction
- Scale: productionize with observability, CI/CD, and ops
- Govern: model/version lifecycle, policies, and auditability
Sample use cases
- Knowledge search and Q&A with retrieval-augmented generation
- Intake triage for support, HR, and finance requests
- Document classification, redaction, and summarization
- Back-office automations across CRM/ERP and ticketing tools
Tools & technologies
- Azure OpenAI / OpenAI, semantic caching, embeddings, vector stores
- LangChain, Semantic Kernel, Prompt Flow, LlamaIndex
- Power Automate, UiPath, Zapier, Make
- Python, Node.js/TypeScript, .NET; REST/GraphQL integrations
Outcomes
- Reduced cycle time and error rates for repetitive work
- Improved customer and employee satisfaction
- Measurable ROI with transparent guardrails and controls