AI Support Guide

Overview

The complete guide to AI capabilities for customer support teams.

simpli.support is your complete guide to AI capabilities that help customer support teams work faster and smarter. Each capability handles one specific aspect of support operations, and this guide explains what they do, when to use them, and how they fit together.

What problems does it solve?

ProblemService
Tickets pile up unclassifiedTriage classifies, prioritises, and routes automatically
Agents spend time drafting repetitive repliesReply generates context-aware drafts matching team tone
QA reviews are manual and inconsistentQA scores conversations against configurable rubrics
Escalations come as a surpriseSentiment tracks customer health and flags escalation risk
Managers lack real-time visibilityPulse provides live dashboards with SLA monitoring
Help articles go stale or have gapsKB identifies gaps and flags outdated content
Agents repeat the same responsesMacro manages templates with variable injection

Who is this for?

You are a...Start here
Support agent wanting to understand AI toolsThe Ticket Lifecycle — see how AI fits into your workflow
Team lead or manager evaluating AI for your teamGetting Started with AI in Support — non-technical adoption guide
QA analyst looking to automate scoringQuality Improvement Loop — build a continuous improvement cycle
Director or VP building a business caseMeasuring Success — ROI framework and metrics
Anyone connecting to a helpdeskIntegration Overview — Zendesk, Freshdesk, Intercom, Salesforce, HubSpot

Design principles

  • Modular — Use one service or all of them. Each is independently deployable.
  • Shared foundation — All capabilities inherit common models, settings, and logging from a shared SDK.
  • API-first — Every service exposes a REST API. Integrate with your existing helpdesk or build a custom UI.
  • No vendor lock-in — LLM-powered capabilities use LiteLLM so you can swap between OpenAI, Anthropic, Azure, or any supported provider.

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