AI Agents and Autonomous Workflows

AI Agents and Autonomous Workflows

Agents do more than chat. They plan, call tools, take actions, and work with your team under clear rules. We design safe agents that save time without losing control.

Agent use cases

Triage incidents, run checks, apply known fixes, and create clean notes.

Find companies, enrich contacts, draft first touch, hand to your rep.

Create ideas, set up A or B tests, monitor results, and report back.

Answer calls, verify identity, pull context, and resolve simple tasks.

How we build agents

Break goals into steps, keep short and long term memory, avoid loops.

Use OpenAI functions or similar to call your systems with clear schemas.

Scopes, rate limits, and human approvals prevent bad actions.

Tech stack

  • LangChain
  • OpenAI functions
  • Vector stores
  • Task queues and observability

FAQ

How do you control risk Scopes, approvals, limits, and full audit logs.

Where do agents run Your cloud or ours, containerized and isolated.

Can agents collaborate Yes. We design multi agent patterns with clear roles.

Primary CTA

Internal links

  • Link Generative AI development to
  • Link AI automation to

Image briefs

  • Agent planner loop with tool calls and human approval, WebP under 120 KB