Case studies

Customer Support

Customer Support Automation Platform

A multi-channel helpdesk built around automated triage, drafted replies and a managed knowledge base.

Suggested replies cut average resolution time by 40%.

  • Multi-Channel
  • Helpdesk
  • Knowledge Base
Support desk · Illustrative

01

The problem

  • A growing B2B company handled thousands of support tickets a month.
  • The tickets came in by email, WhatsApp, chat and API.
  • Response times had to come down.
  • Manual sorting had to stop.
  • Quality had to stay consistent as volume grew.

02

The system

  • Tickets, chat, email and WhatsApp share one helpdesk.
  • SLAs are tracked, with escalation and priority rules.
  • Support teams work through role-based workflows, with audit trails.
  • Customers track their own tickets on a portal.
  • Teams share canned responses, macros and templates.

03

Where the agents work

How BizBMS runs a system like this today, not a record of this client’s setup: agents do the work below, and nothing is paid, sent or landed until a person approves.

Illustrative operating model

Runs on its own

  • Biz sorts tickets by intent and sentiment.
  • Urgent conversations are flagged.
  • Replies are drafted from past resolutions and the knowledge base.
  • The knowledge base is searched by meaning, so answers come back fast.
  • Ticket summaries and handoff notes are written for the support team.

A person approves

  • Drafted replies before they are sent.
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A demo walks one job through Plan, Execute and Review, and shows where your people approve it.

04

What changed

  • Automatic classification cut first-response time.
  • Knowledge-base answers made resolutions more accurate.
  • Support grew without the headcount growing with it.
  • Faster, consistent replies raised CSAT.
  • Suggested replies cut average resolution time by 40%.

A BMS for your industry, run by agents.