Insights
Product, design, AI, and engineering perspectives from our team.
Agentic AI vs RPA: Workflow Automation for Professional Services
RPA breaks the moment a contract, ledger discrepancy, or compliance document doesn't fit the script. Agentic AI handles the judgment-heavy, exception-prone work in between — with human approval gates and audit trails built in, not bolted on.
Custom AI Agent Development: Architecture and Use Cases
AI agents are autonomous software systems that plan, use tools, and execute multi-step tasks — a significant step beyond standard LLM calls. This guide covers the core architectural patterns, industry use cases, data prerequisites, and what a responsible commissioning process looks like for teams considering custom AI agent development.
Agentic RAG: When Retrieval Needs Reasoning
Standard RAG works well when one retrieval pass is enough. Agentic RAG is the architecture for problems that require planning, iterative retrieval, and reasoning over results from multiple sources. This post covers the patterns, the platform options, and the real engineering trade-offs.