01

Gen2B | AI Operating Layer for Contact Centers

AI That Resolves Work — and Gets Smarter Every Week

Gen2B helps contact centers automate repetitive work across chat, calls, routing, QA, and follow-up — with self-learning powered by human-in-the-loop.

Punchline Reduce repetitive load without adding headcount.
Omnichannel Chat Self-Learning + HITL Smart Routing Call QA Voice AI Enterprise Deployment
75% avg AI resolution 82.5% peak AI resolution 99% routing accuracy 100% call analysis
[HERO COLLAGE PLACEHOLDER — combine real UI from 01_chat_inbox.png, 05_call_analytics.png, 07_voice_agent.png, and 03_routing_dashboard.png into a premium layered composition. Use rounded cards, soft blue glows, minimal UI callouts, and generous negative space. Make it feel like one connected operating system, not four separate screenshots. Blur all customer data.]
Kazakhtelecom Samruk-Kazyna KCell Punto Pago BI Group
02

Why Contact Center Leaders Buy

Contact Centers Are Still Paying Humans for Work AI Can Already Handle

More contacts. More channels. More SLA pressure. Same headcount.

Punchline Strip repetitive load before you hire more people to absorb it.

Repetitive L1 Load

Agents still spend valuable time on routine requests that should never hit the frontline.

Queue Chaos

Wrong routing, inactive chats, and manual triage slow resolution and damage customer patience.

QA Blind Spots

Supervisors sample a tiny slice of calls and still miss the real quality problems.

Dead Follow-Up

Missed calls and weak re-contact waste demand that was already expensive to acquire.

If the next step still depends on a human, the work is not automated.

03

Category Reframe

Most AI Tools Can Reply. They Still Cannot Run the Next Step.

Drafting answers is not the same as resolving customer work.

Punchline The buyer is paying for fewer manual steps, not better prose.

Reply AI

  • Drafts a message
  • Summarizes a chat
  • Suggests a tag
  • Escalates after the work is already delayed

Resolution AI — Gen2B

  • Answers with approved business context
  • Routes automatically
  • Triggers the next action
  • Scores quality, follows up, and keeps learning
04

Core Moat

Static Bots Decay. Gen2B Self-Learns With Human-in-the-Loop.

This is not a static knowledge base — it is a supervised learning loop that turns solved conversations into better future automation.

This is not “just a knowledge base.” It is a self-learning system with human approval built in.
Punchline Every approved conversation makes the next one faster, cheaper, and more accurate.
  • Agents or supervisors mark solved conversations worth learning from
  • AI extracts reusable answers, intents, tags, and workflow suggestions
  • Human reviewers approve, edit, or reject before anything goes live
  • Approved learnings are pushed back into chat and voice in seconds
Self-Learning Human-in-the-Loop Instant Updates
[SELF-LEARNING LOOP PLACEHOLDER — create a circular or infinity-loop diagram with 4 stages: 1) Solve conversation, 2) AI extracts reusable knowledge + intent + workflow suggestions, 3) Human reviewer approves/edits, 4) Updated automation goes live across chat and voice. This should be one of the signature visuals of the deck. Make it feel like a moat slide, not a support slide.]
05

Platform Overview

One System to Automate, Route, Score, and Recover

Start with one painful workflow. Expand across the contact center from the same self-learning core.

Punchline Land with one workflow. Expand from the same self-learning core.

Gen2Chat

Omnichannel AI support for routine customer demand.

Smart Routing + Triggers

Intent, queue control, and action execution in real time.

Gen2Call

100% call analysis with QA scoring, risk, and emotion visibility.

Gen2Agent

Live voice AI for inbound and outbound coverage.

Self-Learning + Data & Action Layer sits underneath every module.
[SYSTEM MAP PLACEHOLDER — place Self-Learning + Human-in-the-Loop as the central core. Connect it to Gen2Chat, Smart Routing + Triggers, Gen2Call, Gen2Agent, and external systems/workflows. If 11_platform_overview.png exists, use it as the base. Keep the diagram strategic and clean, not technical spaghetti.]
75% avg AI resolution 99% routing accuracy 100% call analysis
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Feature 01 | Gen2Chat

Deflect Routine Demand Without Breaking CX

Gen2Chat handles routine conversations 24/7 across WhatsApp, widget, and in-app chat — then hands off only when it should.

Punchline Resolve up to 82.5% of repetitive customer requests without adding headcount.
  • One inbox across WhatsApp, web, and in-app chat
  • Grounded responses from approved business knowledge
  • Proactive next-best-step suggestions
  • Controlled handoff to human agents with full context
75% avg AI resolution 82.5% peak AI resolution

Powered by the self-learning loop — so automation improves after go-live instead of going stale.

[SCREENSHOT PLACEHOLDER — 01_chat_inbox.png. Show an active conversation, AI reply area, intent tag, operator panel, and handoff control. Add 3 visual callouts directly on the screenshot: “Grounded answer,” “Intent tag,” and “Escalate with context.” Blur customer data. Make the screenshot card premium and large.]
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Feature 02 | Smart Routing + Queue Control

Route Every Contact to the Fastest Path to Resolution

Intent, priority, queue rules, and operator state are handled in real time — so customers do not get stuck with the wrong person.

Punchline Fewer wrong transfers. Faster handling. Better queue discipline.
  • Real-time intent and priority tagging with QueSMART
  • Automatic routing by team, queue, skill, or VIP rule
  • Auto-pause or redistribute missed and inactive chats
  • Operator status and workload awareness built into routing logic
99% routing accuracy
[SCREENSHOT PLACEHOLDER — 03_routing_dashboard.png. Show queue assignment logic, intent tags, operator statuses, redistribution or pause logic, and routing outcomes. Add directional arrows or small annotation chips: “Intent detected,” “Best queue,” “Auto-redistribute.” Blur sensitive data.]
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Feature 03 | Classifiers + Triggers

Turn Detected Intent Into the Next Best Move

Classification is only valuable if it changes the outcome. Gen2B turns detection into action immediately.

Punchline Capture hot demand before it goes cold.
  • Classify product interest, complaint risk, payment intent, and VIP status
  • Trigger alerts, tickets, assignments, callbacks, or WhatsApp follow-up
  • Route high-value opportunities to the best team in real time
  • Escalate sensitive cases before they become expensive failures
+15% lead conversion
[SCREENSHOT PLACEHOLDER — 04_trigger_builder.png. Show classifier logic, trigger setup, lead routing example, and outcome action. Visually stage it as Detect → Trigger → Convert. Add one annotation near the action point: “Best next move executed automatically.”]
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Feature 04 | Gen2Call

Stop Sampling Calls. Start Seeing Reality.

Gen2Call analyzes every conversation for quality, intent, script adherence, and operational risk.

Punchline Analyze 100% of calls instead of guessing from a random sample.
  • Speech-to-text and full-call understanding
  • Semantic classifiers plus keyword logic
  • Script adherence and compliance checks
  • Searchable transcript, summary, and call-level scoring
100% call analysis coverage
[SCREENSHOT PLACEHOLDER — 05_call_analytics.png. Show a wide analytics dashboard with transcript, score, semantic classifier outputs, and summary panel. Add 3–4 small callouts: “Transcript,” “QA score,” “Intent / risk,” “Summary.” This screenshot should carry most of the slide.]
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Feature 05 | QA Scoring + Emotion

Give Supervisors Leverage, Not More Manual Listening

Automatic scorecards, emotion detection, and risk flags focus human review where it actually changes outcomes.

Punchline Shrink manual QA effort and push supervisors into coaching, not hunting.
  • Custom QA scorecards by process, team, or campaign
  • Positive and negative scoring logic
  • Emotion analysis and profanity / escalation detection
  • Alerts for low-score or high-risk calls
[SCREENSHOT PLACEHOLDER — 06_qa_emotion.png. Show QA checklist or scorecard, emotion graph or timeline, flagged phrases, and alert state. Make the screenshot look supervisory and actionable, not just analytical.]
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Feature 06 | Gen2Agent

Put a Real AI Agent on the Phone

Gen2Agent handles inbound and outbound calls with natural low-latency conversation, live action execution, and follow-up built in.

Punchline Extend phone coverage without extending queue time or headcount.
  • Natural low-latency voice for inbound and outbound use cases
  • Answers grounded in approved knowledge
  • Can use tools and workflows during the call
  • Can trigger callback or WhatsApp follow-up instantly
<1 sec voice response latency
Legacy IVR makes customers work. Gen2Agent does the work.
[SCREENSHOT PLACEHOLDER — 07_voice_agent.png. Show live or simulated voice console with transcript, live response generation, action buttons, and callback or WhatsApp follow-up option. Add a subtle waveform or call timeline treatment. Make it feel fast.]
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Feature 07 | Missed Calls + Outbound Recovery

Recover the Conversations You Normally Lose

When calls are missed, unanswered, or overflowed, Gen2B shifts the journey into the next best channel automatically.

Punchline Turn dead demand into reachable conversations.
  • Move missed or overflow calls into WhatsApp automatically
  • Restart the conversation with full context
  • Trigger callbacks when timing is bad
  • Keep outreach live without adding agent effort
63% outbound pickup rate
[SCREENSHOT PLACEHOLDER — 08_whatsapp_outbound.png. Show a clear sequence: missed call → WhatsApp follow-up → customer response → resumed journey or callback. Use arrows or timeline markers. Keep it practical and easy to understand in under 5 seconds.]
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Feature 08 | Data + Action Layer

Ask One Question. Trigger the Fix.

Gen2B turns natural-language questions into operational insight — then lets teams act on the answer immediately.

Punchline Cut the time between insight and execution.
  • Ask business questions in plain English
  • Generate reports without digging through dashboards
  • Spot trends in demand, quality, and escalation
  • Create tickets, alerts, or follow-up actions from the answer
[SCREENSHOT PLACEHOLDER — 09_talk_to_data.png. Show natural-language query input, generated answer, chart or report, and action buttons such as “Create ticket” or “Notify team.” Make it elegant and minimal, not dashboard-heavy.]
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Expansion Use Case | Soft Collection

Recover Payments Without Growing the Collections Team

Gen2B extends from support into reminder, follow-up, and soft collection workflows using voice, messaging, and action logic.

Punchline Turn outreach into measurable cash recovery.
  • Multi-step reminder and follow-up logic
  • Voice and messaging outreach in one journey
  • Route by response, promise-to-pay, or risk state
  • Escalate VIP or sensitive cases to the right person
67% actual payments rate
Expansion Use Case Not Core Category Story
[SCREENSHOT PLACEHOLDER — 10_soft_collection.png. Show campaign or journey view with outreach steps, statuses, payment outcomes, and result metrics. Keep the framing commercial and process-oriented, not aggressive.]
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Trust + Deployment

Move Fast Without Creating a Governance Problem

Deploy the way your organization requires — SaaS, private cloud, or on-premise — while keeping control of where data lives and who can access it.

Punchline Get AI speed without black-box risk.
  • SaaS, private cloud, or full on-premise deployment
  • Customer-controlled data environment
  • Access can be restricted even from Gen2B staff
  • Auditability and oversight for sensitive operations
SaaS Private Cloud On-Premise Customer-Controlled Data
[DEPLOYMENT DIAGRAM PLACEHOLDER — show 3 elegant deployment options: SaaS, Private Cloud / VPC, On-Premise. Include shield/governance indicators and simple arrows, but avoid technical clutter. The visual goal is trust and control, not architecture detail.]
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Production Proof

Production Numbers, Not Pilot Theater

Real results across automation, routing, QA, outbound recovery, voice, and payment workflows.

Punchline This works under live traffic, not just in a demo.
75% Average AI resolution in production
82.5% Peak AI resolution achieved
99% Routing accuracy
100% Call analysis coverage
<1 sec Voice response latency
+15% Lead conversion uplift
63% Outbound pickup rate
67% Actual payments rate in soft collection
Kazakhtelecom Samruk-Kazyna KCell Punto Pago BI Group

Results vary by workflow and deployment scope.

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Low-Friction Buying Motion

Start Where the Pain Is Highest. Expand Where ROI Proves Out.

The easiest AI purchase is one painful workflow. The best expansion is the rest of the contact center.

Punchline Start small enough to say yes. Expand fast enough to matter.
Stage 1

Land Fast

Start with Gen2Chat for most accounts. In fintech, lead with Soft Collection when payment recovery is the burning problem.

Stage 2

Add Control

Expand into Smart Routing, QA scoring, and full call visibility to give supervisors leverage and tighter operational discipline.

Stage 3

Scale Coverage

Layer in Voice AI and the Data + Action Layer to automate more channels and shrink the gap between insight and execution.

One painful workflow gets the deal done. The rest of the platform drives the expansion.
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Strategic Close

The Contact Center Does Not Need More Manual Steps

It needs one AI system that resolves, learns, routes, scores, follows up, and keeps improving after go-live.

Punchline Start with chat. Expand into the operating layer for customer work.
Resolve Learn Route Score Recover Scale
75% avg AI resolution 100% call analysis 67% payments rate

Gen2B | Contact center AI that gets better after go-live.

[FINAL ECOSYSTEM COLLAGE PLACEHOLDER — build a refined premium composition using real product UI from chat, routing, call analytics, voice agent, and workflow/action views. Show the system as one connected operating layer. Keep it cleaner and more strategic than the cover.]