How to reduce call centre costs by 40% with AI.

Most call centre outsourcing moves your volume to a cheaper location with the same manual model. Almanor AI's call centre outsourcing is different: we run your contact operations using a combination of specialist human operators and AI automation — and we use every interaction to build an increasingly capable AI system that handles more of the volume autonomously over time.

Within 90 days of operation, CallAgent — our purpose-built contact centre AI — handles 73% of routine interactions end-to-end without agent involvement. Human operators focus on complex enquiries, escalations, and the interactions where human judgment genuinely adds value. The result is a contact centre operation that costs 40% less and processes 4× the volume of a traditional outsourced model.

We operate across 30+ languages with domain-specific training for each market — not generic translation. Every interaction is monitored for quality, compliance, and resolution — 100% of volume, not sampled.

Looking for the full breakdown of levers that actually move the needle? Read our guide: How to Reduce Call Centre Costs — A Practical Guide →

First-contact resolution for product enquiries, account queries, order status, billing questions, and routine support requests — across voice, email, and live chat.

End-to-end complaint management with classification, routing, resolution tracking, and regulatory compliance monitoring — including FCA DISP and FOS referral management.

Outbound calling and messaging for collections, retention, appointment scheduling, and proactive customer communication — with AI-generated personalisation at scale.

Tiered technical support with AI handling Tier 1 resolution and intelligent escalation to specialist agents for Tier 2+ cases — with full context handover.

Contact operations across 30+ languages with domain-specific AI training for each market — not generic translation layers applied to an English model.

100% interaction monitoring for tone, compliance, resolution quality, and regulatory adherence — replacing manual sampling with systematic AI-driven quality assurance.

Banks, insurers, and fintechs with regulated customer contact requirements — complaints, account management, claims, and compliance-monitored interactions.

Outsourced contact centre operators running multi-client operations who need to reduce cost-per-contact while maintaining SLA compliance across accounts.

High-volume inbound operations with seasonal spikes — order enquiries, returns, complaints, and delivery management at scale without proportional headcount.