From BPO to APO.
Contact operations are shifting from human-executed and AI-assisted to AI-executed and human-supervised. 90% of organizations are piloting GenAI in customer service — yet 72% report no P&L impact (BCG, Sep 2025). The gap between pilots and production is where value is lost.
MORR deploys the production layer.
The math stopped working.
Meanwhile the market moves: TM has partnered with Scicom on AI-powered CX; Globe and PLDT are deploying agentic AI in the Philippines. The BPO that brings APO capability first wins the next generation of contracts.
Billing enquiry: 4–5 minutes → 90 seconds.
| Step | With MORR (AI-executed) | Today (human-executed) |
|---|---|---|
| Answer | AI answers instantly — no IVR maze, no queue | 3–4 IVR menus, 30–90s queue |
| Authentication | ~5s via ANI/voice — no account number recital | ~45s of name, account, verification |
| Data retrieval | ~3s API call — balance, payments, charges loaded | ~30s of CRM navigation |
| Resolution | 45–60s conversational, in Manglish/BM/EN, objections handled | 60–90s reading and explaining |
| Escalation | Full context passed — customer never repeats | Cold transfer, customer starts over |
| After-call work | Zero — AI writes the summary | 60–90s logging and notes |
~70% of billing calls resolved by AI
FCR moves from ~75% to 92%+ on automated categories. Agents keep the complex cases — pre-diagnosed, with context.
2% sampling → 100% coverage
Every interaction scored in real time: compliance flags, sentiment, churn signals, coaching insights. Your QA team shifts from listening to pattern analysis.
300–500 AI calls/hour
Renewals, win-back, surveys — a 5,000-contact campaign in 10–15 hours instead of two weeks. Proven at 72% show rate vs 40% baseline in Malaysia.
One governed stack, inside your estate.
Every agent, channel, and integration runs through the same five-layer architecture — intent routing, context management, escalation, and compliance guardrails enforced identically whether it’s one workflow or your whole floor. Model-agnostic underneath: OpenAI, Anthropic, Google, or custom — swapped per use case, never locked in.
100% QA coverage · real-time sentiment · customer 360 · coaching · root cause
Salesforce · Zendesk · Genesys · Avaya · HubSpot · billing · 700+ systems
Intent router · context manager · escalation engine · compliance guard
Inbound voice · outbound campaigns · document intelligence · QA analyst
Voice (Manglish/BM/EN/ZH) · WhatsApp · chat · email · social · portal
Decision gates at every step. No lock-in.
Diagnostic — 72 hours, free
Send 1,000 anonymized recordings under NDA. We return exactly which calls are automatable, projected savings, and how we'd deploy. No cost, no obligation.
Foundation — 8–12 weeks, fixed fee
Agent assist, 100% QA, call analytics on one workflow. KPI baseline agreed in writing; metrics review at week 4; go/no-go at week 8 against pre-agreed thresholds.
Expansion — 3–6 months, per-minute
Autonomous Tier-1, outbound AI, omnichannel. Spend expands only when the previous phase proved value.
Full APO — annual
Multi-agent operations, proactive CX, workforce redesign — your Tier-1 agents become AI supervisors, your QA analysts become pattern analysts. Headcount evolution, not elimination.
Built-in safeguards: API-first alongside Genesys, NICE, and Avaya — no rip-and-replace. Model-agnostic (OpenAI, Anthropic, Google, custom) — switch engines anytime. PDPA compliant, PII redaction, SOC2-ready posture. Your data stays yours.
Send us 1,000 calls. Get the truth in 72 hours.
The diagnostic tells you exactly which interactions can be automated, what it saves, and how we’d do it — grounded in your own recordings, not industry averages. NDA protected. Complimentary. If it doesn’t show meaningful savings potential, you’ve lost nothing but a file transfer.
Prefer a conversation first? 30 minutes, no pitch: WhatsApp us or write to hello@morr.my.
Request the diagnostic
Frequently asked questions
What is Agentic Process Outsourcing (APO)?
APO is the successor model to BPO: operations that are AI-executed and human-supervised, rather than human-executed and AI-assisted. AI agents handle Tier-1 volume end-to-end; humans supervise, handle exceptions, and manage complex cases with AI-prepared context. The commercial shift is from cost-per-seat to cost-per-resolution.
We already piloted GenAI and saw nothing. Why would this differ?
That is the norm, not the exception — 72% of organizations report no P&L impact from GenAI pilots (BCG). Pilots fail at integration, telephony, escalation design, and change management: the production layer. That layer is specifically what MORR deploys — with embedded engineers, decision gates, and your KPIs as the contract.
Does this replace our existing CCaaS stack?
No. MORR is API-first alongside Genesys, NICE, and Avaya. Voice agents join via SIP/BYOC; QA intelligence consumes your existing recordings; outbound runs on your numbers. No rip-and-replace, no migration project.
Can it handle Malaysian call traffic?
This is the moat: 85% intent accuracy on Manglish live production calls — Bahasa-English code-switching that global platforms handle at under 50%. Plus Mandarin, Tamil-English patterns, Hindi, and 100+ languages, at sub-300ms voice latency.
What happens to our agents?
Roles evolve rather than disappear: Tier-1 agents become AI supervisors, QA analysts move from 2% sampling to pattern analysis across 100% of interactions, team leads orchestrate AI+human teams. For a BPO, APO capability is also a revenue line — the AI-powered BPO wins contracts the others can't service.
Your competitors' diagnostic is already running.
72 hours. 1,000 anonymized recordings. A precise map of what's automatable in your operation and what it saves.
No pitch deck. A working demo, then a conversation.