← Automation & Agentic Workflows
Overview
Agentic workflows combine language models with tools: search internal knowledge, draft responses, propose ticket updates - within policies you define. We design agents that are bounded by allowlists, confirmation gates for writes, and explicit fallbacks when confidence is low.
Where this helps
- Support and operations with high-variance tasks that aren’t fully scriptable
- Research-heavy internal roles needing synthesis over scattered sources
- Teams that piloted chatbots and need deeper integration into tickets/CRM
What we focus on
- Tool design - Read-only vs write tools; parameter validation; least privilege
- Orchestration - State, retries, branching, handoff to humans
- Evaluation - Spot checks, golden datasets, regression awareness as prompts/models change
- Safety - Injection resistance, sensitive data handling, audit trails
How we work
We start with one vertical workflow and measurable outcomes - handle time, error rate, employee acceptance - before broad rollout. Agents sit alongside process automation and AI implementation depending on where intelligence vs determinism belongs.