Business workflow automation
Map a repetitive process, then replace the manual steps with reliable automations and human checkpoints.
AI workflows, support agents, and lead automation that keep your team in control.
Services
Each engagement starts with one workflow. We expand only after the first path is measurable and stable.
Map a repetitive process, then replace the manual steps with reliable automations and human checkpoints.
Triage tickets, draft replies, and pull order or account context — with escalation rules your team controls.
Agents that use your tools: CRM updates, knowledge retrieval, routing, and follow-up — not unattended chat.
Connect models to the systems you already run: helpdesk, Shopify, email, spreadsheets, and internal APIs.
Qualify inbound interest, route the right leads, and keep follow-up consistent without adding headcount.
Extract, classify, and move information so operations stop living in copy-paste and shared inboxes.
Benefits
Fewer hours lost to repetitive coordination
Faster response on leads and support without lowering the standard
A documented workflow instead of tribal knowledge
Guardrails, logs, and human review where judgment is required
A path to expand after the first workflow proves itself
Technologies
Proven model APIs for language, classification, and extraction
Orchestration for tools, retries, and human approval
Webhooks and APIs into CRM, commerce, and helpdesk systems
Retrieval from your own documents and product data
Monitoring so failures are visible before customers feel them
How it works
We do not drop a chatbot on your site and call it automation. The work is discovery, design, integration, and a measured launch.
We document the current path, systems, exceptions, and the metric that would prove the work is worth doing.
Triggers, agent tools, prompts, and approval rules are designed against real examples — not a demo script.
We connect the live systems, run edge cases, and keep a human in the loop until quality is stable.
Roll out in a controlled slice, watch the metric, then expand to the next workflow.
Use cases
Order questions, returns triage, catalog answers, and merchandising ops that currently sit in a queue.
Inbound qualification, meeting prep notes, and CRM hygiene after every conversation.
Document intake, status updates across tools, and internal knowledge assistants for policies.
Support deflection that feeds product insight, without handing the brand to an unsupervised model.
AI automation FAQ
Clear answers on scope, timeline, and how Orbitdor keeps people in control of automated workflows.
AI automation uses models, agents, and integrations to handle repetitive work — lead follow-up, support triage, document handling, and internal workflows — with human review where it matters.
Start with one workflow
We will tell you whether AI automation, a simpler integration, or a different service is the honest next step.
Learn more about the company on About Orbitdor or browse the blog.
Learn more about the people behind the work: what does a software engineer do?