AI Workflows
AI automation for customer service
We build agentic AI workflows that help customer service teams keep up: sorting the inbox, drafting replies from your own knowledge base, keeping help pages current and spotting the issues that keep coming back. Customers still hear from a person.
What we build
Workflows that fit how your team already works
Inbox triage
Reads incoming messages, tags them by topic and urgency, and routes them to the right person or queue.
First-draft replies
Drafts a reply using your policies, past answers and help pages, for an agent on your team to check, edit and send.
Help page upkeep
Notices questions your help centre does not answer well, and drafts new or updated articles for review.
Recurring issue report
A weekly summary of what customers asked about most, what is getting worse, and what could be fixed upstream.
What stays with your team
The agent does the legwork. People make the calls.
- Every reply is checked and sent by a person on your team.
- Refunds, complaints and anything sensitive go straight to people.
- The agent learns your tone from your best replies, not from generic templates.
Every workflow is built on tools you already use and handed over with training. See how an AI workflow project runs, from the first call to handover.
Questions people ask
Will customers be talking to a bot?
Not unless you want them to. The workflows we build here support your team: the agent drafts, a person sends.
Which helpdesk tools does it work with?
Commonly shared inboxes in Google Workspace or Microsoft 365, and helpdesks such as Zendesk, Freshdesk or Intercom. We confirm connections during the workflow map.
How do you keep replies accurate?
The agent only works from your approved knowledge, cites where an answer came from, and is tested on real past questions before it goes anywhere near a customer.
Is your team drowning in the same questions?
Book a 30-minute call and we will show you what an agent could take off their plate.
Would your team rather learn to build these themselves? See AI training for employees.