Deep Learning meets Insurance
Artificial intelligence is the enabler for disruption.
Customer expectations around what insurance represents and how it’s purchased are changing the competitor landscape within the insurance industry.
Most insurers today are faced with intense competition from new digital-first players offering alternative experiences and built on different business operating models.
Customer experience and personalisation are now critical for creating high-growth businesses.
Operational efficiency will be a key lever for success as processing and decision making speeds transform customer expectations.
Today, most insurance firms do not have an infrastructural ability to analyse or automate unstructured communications data at scale.
re:infer’s Deep Learning platform unlocks the value in an insurer’s communications data.
In the direct channel, re:infer automatically classifies the intents, sentiments and emotions contained in multi-channel communications (chat, voice, emails, social, feedback). re:infer builds a real-time picture of the customer’s experience, their wants and needs.
In the broker-underwriter channel, re:infer extracts actionable client intelligence that drives cross-sell opportunities and actionable product feedback.
In claims, re:infer classifies, routes and processes claims descriptions in minutes rather than days.
In operations, re:infer can automatically discover and identify inefficient manual processes that are ideal candidates for automation.