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AI Agent Assist · Contact Center

An expert at every agent's shoulder.

Real-time suggestions, sentiment cues and post-call summaries across voice, chat and social — whispered to the agent, never heard by the caller.

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  • Live suggestions
  • Sentiment cues
  • Auto summaries
  • Omnichannel

Ramp time

−38%

Auto summary

Ready · 0.4 s

Agent workspace

Naledi K. · Inbound

03:21Live

Transcript

N
My data keeps dropping — third time this week.
I can see that. Let me check your account now.
A
N
I've tried restarting twice already.
Agent typing…

AI Assist

Sentiment↑ calmer
Whisper

“Offer the 3-day credit. She's a 4-yr customer.”

KB · #2214

Outage resolved 14:30. Northern suburbs affected.

Consent disclosed

3:21

AHT

4.8

CSAT

94%

Resolved

What the AI feeds

Six live signals, one quiet whisper.

New agents spend months learning the same objections, the same scripts and the same reasons callers sound upset. Agent Assist collapses that ramp into a live whisper they can act on, backed by deeper conversation intelligence.

Instant answers

Pulled from your knowledge base the moment the question lands.

KB · #4421

Free port-in is included on every plan, even the trial.

Suggested replies

Drafted on chat before the customer finishes typing.

Is the line still on?
Yes — your line stays on until port-in finishes.
AI drafting…

Sentiment cues

Visible the moment tone shifts — agent slows down or escalates.

Frustrated → calmer over 40s.

Objection handling

Pulled from your top reps — not generic call-centre patter.

"I hear you on price — let me show you what the loyalty plan saves you over a year."

— Top closer · 38 wins/mo

Compliance reminders

Caught before a risky phrase lands — not after it’s sent.

Reminder

Re-read consent disclosure before quoting any of the new tariff.

Auto call summary

Written the moment the line drops — no more after-call admin.

ReasonBilling query
ActionRefund issued · R420
OutcomeResolved · CSAT +1
Omnichannel

Whispers follow the conversation, not the channel.

Voice, SMS, WhatsApp, Messenger, Instagram, Telegram and Viber — the assistant sits inside the agent workspace and whispers in context, whichever channel the customer picked, with supervisor assist looped in.

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Voice · Inbound

02:14 elapsed · Lagos

Live
TA

Tunde A.

...the second invoice still hasn't cleared on my end.

Whisper · spoken cadenceConversational

"Acknowledge the wait, then offer the credit before they ask. Customer is on second call this week."

model · v3.6 (shared)Same context thread

WhatsApp · Active

Priya · 4 messages today

Live
PM

Priya M.

Hi! Did the renewal go through? I haven't seen a confirm.

Whisper · short, no fluffBrief

"Renewal confirmed 09:11. Send template TX-12 with policy + invoice link."

model · v3.6 (shared)Same context thread

Instagram DM

First-time DM

Live
KM

@kabelo.m

do you guys actually work weekends or nah

Whisper · matches platform toneCasual

"Yes — Sat 9–4, Sun on-call. Drop a number and we'll ping you."

model · v3.6 (shared)Same context thread
Parity acrossVoiceSMSWhatsAppMessengerInstagramTelegramViber
Data Boundary

Trained on your playbook, not the internet.

The assistant learns from your recordings, docs and QA-approved answers — all inside your tenant. Training data never leaves the environment. Add optional sentiment analysis overlays.

  • Recordings stay inside your tenant
  • Indexed only from internal docs
  • QA-approved answers, then promoted live
  • No outbound model training, ever
Recordings
KB articles
QA answers
SOP manuals
CRM history
Your tenant
Whisper to agent
No outbound training
No data leakage
PII Redaction

Data flows in. Nothing flows out.

Negative-sentiment moments · last 7 days

Pattern detected

25 noisy moments — none worth a coaching session.

Pattern

"Cancel" objection — losing 3 in 5 deals.

Coaching Signal

Supervisors see the pattern, not the noise.

When an objection keeps losing deals or a phrase keeps triggering poor sentiment, the dashboard lifts it out of the noise. Coaching starts on evidence rather than a hunch, served via the kind of low-latency pipeline the NIST measurement frameworks describe.

14

Patterns surfaced / week

< 24h

Time to flag a trend

3.2x

Coaching cycles, faster

+18 pts

Avg. sentiment lift

Customer Stories

Agents who pick up the phone already coached.✦

From first-day reps to senior closers, teams keep the AI whisper running because it pays back in shorter calls and softer escalations.

MK

Mpho Khumalo

Head of Service

Soweto Building Society

5.0

“Our new joiners hit senior numbers in their fourth week. Whisper is the difference — they're never alone on a hard call.”

Agent Assist
NP

Naledi Pretorius

Contact Centre Manager

Cape Wines Direct

5.0

“Sentiment cues caught two angry callers we used to lose to voicemail. Both stayed customers. Whisper paid for itself in a week.”

Agent Assist
SM

Sipho Maseko

Operations Lead

Kalahari Logistics

5.0

“Auto summaries dropped after-call admin from four minutes to forty seconds. Multiply that by a hundred agents and you have a new shift of capacity.”

Agent Assist
AR

Anika Reddy

Quality Lead

Durban Mutual

5.0

“Compliance reminders fire before the agent says the wrong thing — not after. Our QA fail rate halved in a month.”

Agent Assist
FAQ

What teams ask before turning it on.

Quick answers on privacy, deployment and where the AI fits next to your existing workflow.

On voice, the whisper is audible only to the agent. On chat, the agent reads each suggestion before sending it.

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Put an expert on every agent's screen.

Stand up Agent Assist on a single team this week. Train it on your own playbook, watch the whispers land in context, then roll it across the floor.

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No card requiredTrain on your own dataLive in under a weekCancel any time
TKOS — Tech Knowledge Open Systems

Africa's #1 Dynamic & Reliable Telecom Leader

Cloud phone, AI contact center and unified communications on one tier-1 SA telecom network.

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