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Glossary · ACW

What is ACW?

ACW (After-Call Work) is the time a contact center agent spends on post-call administrative tasks after a customer interaction ends — writing notes, updating the CRM, setting follow-up tasks, finalizing dispositions, escalating issues. ACW is a component of Average Handle Time (AHT) and is one of the highest-leverage metrics for contact center productivity. AI-powered automation can reduce ACW by 40–60 percent by auto-generating call summaries, syncing to CRM, and drafting follow-ups.

ACW components

Typical ACW tasks:

  • Writing a call summary note
  • Updating the CRM contact or account record
  • Creating a ticket or case
  • Logging the call disposition (resolved, escalated, callback requested)
  • Sending a follow-up email or SMS
  • Processing any commitments made on the call
  • Updating personal task lists
  • Handing off to another team if escalated

In a traditional contact center, ACW runs 45 to 90 seconds per call on simple transactions, 3 to 5 minutes on complex ones.

Why ACW matters

ACW is the hidden cost of every customer call. It’s the time agents spend not talking to customers. In a contact center with 100 agents handling 500 calls each per day:

  • 50,000 calls per day × 90 seconds ACW = 1,250 agent-hours of ACW per day
  • At $25/hour fully-loaded agent cost = $31,250 per day on ACW alone
  • $11.4M per year in just post-call administrative work

Even modest ACW reductions drive major savings.

How AI reduces ACW

Modern AI-powered contact centers automate the bulk of ACW:

  • AI call summaries — generated the moment the call ends, with intent, outcome, action items
  • Auto-logged CRM activity — transcript, summary, and metadata post to the contact/account/ticket without manual entry
  • Auto-drafted follow-ups — SMS or email prepared with relevant context, agent reviews and sends
  • Auto-disposition — AI proposes disposition based on call content; agent confirms
  • Auto-created tickets — issues automatically escalated with full context
  • Smart wrap-up prompts — AI surfaces the right wrap-up fields based on the call topic

DialPhone’s AI Quality Management and AI Agent Assist together cut ACW by 50 percent on average.

Measuring ACW

Good contact center measurement includes:

  • Average ACW time per call
  • ACW as a percentage of AHT — typically 15–25% is healthy; over 30% signals process or tooling problems
  • ACW variance by agent — outliers often signal either training needs or workflow issues
  • ACW by call type — complex calls legitimately have higher ACW
  • ACW trends over time — catch regressions from process changes or tooling issues

Best supervisors review ACW monthly alongside Call Handle Time and First Call Resolution.

Reducing ACW — tactics beyond AI

  • Pre-fill what’s knowable — if a caller authenticates, pre-populate the record
  • Reduce disposition choices — 8 dispositions max, not 50
  • Embed ticketing inside the call flow — don’t make agents context-switch
  • Auto-end workflows on disposition — hitting “resolved” shouldn’t require navigating to 3 other tools
  • Templates for common follow-ups — pre-written SMS and emails for the 80% case
  • Integrated knowledge base — agents shouldn’t spend ACW looking up what they should have said
  • Remove ceremony — does the agent really need to update four fields? Or can three be inferred?

Process improvements alone can cut ACW by 20-30% before any AI tooling.

ACW and occupancy

Occupancy = (Call Time + ACW) / (Call Time + ACW + Available Time). High occupancy means agents are busy; low means they’re idle waiting.

Target occupancy is typically 85–90%. Above 90% agents burn out; below 80% is expensive idle time.

Reducing ACW raises effective capacity — the same agents can handle more calls — which either lowers headcount needs or improves service levels at the same headcount.

ACW and auxiliary codes

Many contact centers use “Aux codes” or “not-ready codes” for various non-call states:

  • ACW (after-call work)
  • Lunch
  • Break
  • Training
  • Coaching
  • Admin
  • Meeting

Tracking Aux code time by agent surfaces patterns — an agent with unusually high ACW is either struggling with the work or using ACW as a pseudo-break.

ACW by channel

ACW concepts extend beyond voice:

  • Voice — classic ACW (write notes, update CRM)
  • SMS — typically lower ACW; the message thread is the record
  • Email — variable, depending on how many follow-up actions
  • Chat — lower ACW; transcripts auto-save
  • Social — variable

Omnichannel platforms should measure and display ACW consistently across channels.

DialPhone ACW reduction features

  • AI Call Summary — post-call summary with intent, outcome, action items generated automatically
  • Auto CRM Logging — Salesforce, HubSpot, Zendesk records updated without manual effort
  • AI-Drafted SMS Follow-ups — templated drafts with context for common scenarios
  • Auto-Ticketing — escalations create tickets in the right system with full context
  • Integrated Knowledge Base — AI surfaces knowledge during the call, removing the search step
  • Unified Agent Desktop — one interface for all channels, no context-switching

Customers using DialPhone’s AI Contact Center report 50% ACW reduction at the tier with AI Agent Assist and AI Quality Management included (Professional plan and above).

Example

A 120-agent customer support operation averaged 90 seconds of ACW per call handling 500 calls per agent per day:

  • Before DialPhone: 90s × 500 × 120 = 1,500 agent-hours of ACW per day
  • After DialPhone Professional with AI Agent Assist + AI QM: ACW dropped to 42 seconds per call
  • New ACW: 42s × 500 × 120 = 700 agent-hours per day
  • Savings: 800 agent-hours per day × $25/hour fully loaded = $20,000 per day = $5.2M annualized

That ACW reduction alone justified the move to DialPhone Professional ($95/user × 120 users × 12 months = $136K annualized license cost).

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