SingleComm

Real-time AI guidance for every agent conversation.

Real-time AI agent assist for contact centers. Contextual customer information, recommended responses, compliance flagging, and live coaching — all in the unified agent desktop.

ACTIVE CALL · AGENT VIEW
03:47
Sarah ChenGold · 3yr customer
3 prior contacts · CSAT avg 4.8
customerHi, I'm calling because my last bill was higher than I expected.
agentI can help with that. Let me pull up your account...
customerIt's almost double what I usually pay.

AGENT ASSIST · 98% confidence

Bill increased because of a one-time usage overage. Suggest: explain the overage clearly, offer the "Peak Protect" upgrade for $8/mo to prevent future surprises.

retention offerupsell path
intent: billing_inquirysentiment: concernedcoach-ready
Why agents keep agent assist

Real-time support that helps agents during every conversation.

Agent assist is the rare AI tool agents ask to keep. It transcribes, classifies intent, pulls policy, drafts the response, and writes the wrap-up — so the agent keeps the conversation and the platform does the paperwork.

For the whole team

Who Agent Assist helps

Agents

Get live guidance, recommended responses, and faster wrap-up.

Supervisors

See risk signals, coaching opportunities, and agent performance patterns.

QA teams

Review exceptions instead of manually sampling a small number of calls.

Compliance teams

Track risky phrases, required disclosures, and audit evidence.

Operations leaders

Improve training, consistency, productivity, and agent retention.

Capabilities

Real-time help, grounded in your playbook.

01 · Transcription

Sub-200ms partials over WebRTC

Live transcription with speaker diarization. Agents see what the caller said, re-read the phrase they missed, and the supervisor reviewing the call has the text in front of them by wrap-up.

  • Sub-200ms partial transcripts
  • Speaker diarization on voice
  • Transcripts available on-demand for QA
02 · Intent & retrieval

Policy grounded in your KB

Intent classification routes to the right playbook. Retrieval pulls from your knowledge base — not a foundation model's memory. Citations back to the source document, so agents can verify before they quote.

  • Intent classification per interaction
  • Retrieval grounded in your KB
  • Citations to the source document
What the AI might retrieve
Refund policy
Billing explanation
HIPAA disclosure script
Retention offer rules
Troubleshooting steps
Escalation procedure
Product or pricing details
03 · Next-best-action

Suggestions, not autopilot

The platform suggests the response or action; the agent decides. Applied credit, offer retention, escalate to supervisor — each with a one-click execution path that logs the choice for QA.

  • Suggested responses and actions
  • One-click application to the conversation
  • Full decision audit log
04 · Compliance guardrails

Flags compliance risks while the conversation is still happening

Real-time flagging of HIPAA-sensitive phrases, TCPA consent gaps, unscripted disclosures. Supervisors see risk in the moment, not after the recording has been archived.

  • Configurable compliance rules
  • Real-time supervisor alerts
  • Per-industry rule libraries
Risks flagged in the moment
Missing TCPA consent language
Unapproved disclosure
HIPAA-sensitive information mentioned
Payment information being spoken aloud
Required script not completed
Customer asks to revoke consent
Agent skips identity verification
05 · Wrap-up

Notes drafted before the call ends

AI-drafted disposition codes, wrap-up notes, and next-touch recommendations. Agents edit and sign, rather than compose from scratch — which cuts wrap time and improves note quality at the same time.

  • AI-drafted disposition and notes
  • Cuts wrap time measurably
  • Improves note quality and searchability
What the draft looks like
Call summary draft:Customer called about a higher-than-normal bill. Agent explained one-time usage overage and offered Peak Protect upgrade. Customer requested follow-up by SMS.
Suggested disposition:Billing inquiry — explained charge.
Next step:Send SMS follow-up with plan details.
06 · QA coverage

100% scored, not 3%

Your QA rubric applied automatically to every call. Human QA focuses on outliers, supervisors coach from patterns, and your sampling model becomes 'all of them.'

  • 100% automated QA coverage
  • Rubric-based scoring with human override
  • Exception queues for targeted review

How SingleComm Agent Assist works

  1. 01The customer starts a conversation.
  2. 02AI transcribes the interaction in real time.
  3. 03AI detects intent, sentiment, and key details.
  4. 04Relevant knowledge base articles or scripts are surfaced.
  5. 05The agent receives suggested responses or next-best actions.
  6. 06Compliance risks are flagged during the conversation.
  7. 07AI drafts wrap-up notes and disposition codes after the call.
  8. 08QA scoring and coaching insights are created automatically.
Why it matters

Agent assist earns its keep when agents notice they're doing more of what they came here for — helping the customer — and less of what they didn't — re-keying notes, hunting in the knowledge base, worrying about whether the compliance script covered the edge case. The best measure is retention: teams on SingleComm agent assist keep agents longer, because the job got better.

See how SingleComm Agent Assist coaches agents in real time.