AI Automation & Agents

LLM agents trained on product catalogs and past tickets to resolve first-touch inquiries autonomously.

Multi-step agent workflows from brief to publish-ready output with human approval gates.

Extract structured data from invoices, contracts, and unstructured sources at scale.

Automated qualification, enrichment, and outreach orchestration across CRM and communication channels.

Domain-specific assistants for ops, finance, and product teams built on your own data and policies.

We map the manual process in detail — inputs, steps, decision points, edge cases, and failure modes. AI automation only works well when the underlying workflow is thoroughly understood first.

We design the agent architecture, model selection, retrieval strategy, and human-in-the-loop checkpoints. Production reliability requirements shape the design, not just prototype feasibility.

Iterative build with testable outputs at each stage. We evaluate agent outputs against real examples from your operations, not synthetic benchmarks.

Production deployment with monitoring, escalation paths, and documentation. We train your team on how to maintain prompts, update knowledge bases, and adjust thresholds.