Custom AI agents for the processes still stuck in inboxes and sheets.
30 min · Clear yes or no · First builds often live in 2–4 weeks
We map one painful workflow, then build an agent that runs it in your tools: intake, routing, updates, notifications, and the handoff when a human must decide.
Not a chatbot demo. A maintained system fitted to your rules, stack, and exception paths.
Operations managers, COOs, founders, and leads who still move work through shared drives, Slack threads, and late status checks.
If the work is repetitive, rule-based, and expensive when late, it belongs here.
Hours returned and errors avoided. Not “AI adopted.” Same path we use on travel, healthcare, and SaaS ops builds.
A production system. Chat can be one interface. The work is the workflow: tools, rules, logging, escalation.
Most first systems go live in 2–4 weeks after scope. Deeper integrations show up in the plan before you commit.
No. We fit the build to the stack you already run unless a gap forces a clean swap.
It escalates on thresholds you set. Edge cases go to a person with the full thread.
Hazvex builds custom AI agents for internal company workflows. We map a real process, integrate with your tools, add human escalation for edge cases, and deploy a maintained system. Typical first builds go live in two to four weeks and target measurable hours returned in ops, support, finance, or marketing ops.
One call. We say if it is worth automating and what version one looks like.