Call Centers

Cut call center workload by 40% in weeks.

Voice AI agents that book, qualify, and resolve — without a queue. Live analytics and reporting that the COO actually checks. Production-ready first release in 4–6 weeks, for the agreed scope.

A headset-wearing operator centred in a ring of light with a speech waveform behind.
−40%Inbound workload reduced
−94%Cost per automated tier-1 call
~0.4sTarget voice AI response
24/7Always-on coverage
What's broken

Sound familiar?

60% of calls are the same five questions

Your best agents spend their day answering balance, status, and reset requests. Burnout climbs, churn climbs, unit economics stay broken.

Out-of-hours coverage costs a fortune

Night shift premiums, third-party BPOs, dropped calls after 6pm. Weekend coverage is a coin flip.

QA happens on 1% of calls

Nobody knows what's actually being said. Sentiment, intent, churn signals — invisible. Coaching is guesswork.

Reporting lags two weeks behind

By the time you see a metric move, the campaign is over. Decisions get made on gut feel, not data.

What we ship

Production systems, not slideware.

AI voice agents

Natural-voice agents that handle tier-1 inbound and outbound. Book, qualify, resolve, transfer when needed.

AI customer support

WhatsApp, email, voice — one brain across every channel. Context shared automatically.

Live analytics dashboard

Real-time call volume, deflection rate, resolution rate, CSAT. The COO finally has a number to manage by.

100% call QA

Every call transcribed, scored, tagged. Sentiment, intent, churn-risk on every interaction — automatically.

Workflow automation

Tickets, escalations, follow-ups — wired into your CRM. No more agents copy-pasting between tabs.

Agent assist

Real-time suggestions, knowledge lookups, and next-best-action prompts for the calls humans still take.

Use cases

Where this moves the metric.

01

Inbound deflection

Voice AI handles 40–60% of tier-1 inbound. Agents only see escalations.

02

Outbound qualification

AI calls every lead, qualifies, books a meeting with the human team.

03

Save flows on cancellation

Cancellation calls trigger an AI save flow with personalised retention offers.

04

Multilingual support overnight

Switch language by detected accent. 24/7 coverage in 8+ languages without night shifts.

−40%
Target, not a result
What we'd aim at

Cutting tier-1 workload by 40%

What we'd design for: an operation whose agents spend the day on the same handful of repetitive tier-1 questions. We'd put a voice AI layer in front of the existing queue — triage, qualification, routing, CRM lookup — escalating anything it shouldn't touch. The target is 40% of inbound handled without an agent and out-of-hours coverage without new hires, measured as agent-handled tier-1 call minutes against a baseline we agree before starting.

Voice AITelephonyAnalyticsCRM
Productised offer

Call Center Automation Pack — scope locked, quote fixed against it.

  • Voice AI (inbound + outbound)
  • Live call analytics dashboard
  • Telephony + CRM integration
  • Custom workflows & escalation
  • Reporting & QA tooling
  • 4–6 weeks delivery

Timeline starts after scope lock and access readiness (systems, data, and security sign-off in place) — not from contract signature.

How we price

Ready to ship?

Tell us the problem. We'll come back with a real plan within 48 hours.