Observe.AI Launches Real-Time AI
By uniquely leveraging post-interaction insights and historical data, Observe.AI introduces highly contextualised real-time agent guidance, live supervisor coaching, and automated actions Observe.AI, the live conversation intelligence platform for contact centres, announced the launch of its new Real-Time AI product suite – designed to help agents succeed at every customer interaction and boost productivity with live […]
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By uniquely leveraging post-interaction insights and historical data, Observe.AI introduces highly contextualised real-time agent guidance, live supervisor coaching, and automated actions
Observe.AI, the live conversation intelligence platform for contact centres, announced the launch of its new Real-Time AI product suite – designed to help agents succeed at every customer interaction and boost productivity with live guidance, supervisor coaching, and automated actions for after-call work.
Agents live at the heart of revenue generation and CX. Their behaviours and conversational proficiency influence business outcomes, from objection handling and upselling to nurturing loyalty. Agents who successfully adopt “advocacy” language and facilitate “easy” interactions can reduce customer frustration rates by up to 82.5% and increase the chance of sales conversion by over 80%. Understanding how to navigate difficult call scenarios to save the sale or relationship – while the interaction is happening – is business-critical for agent work.
Observe.AI’s Real-Time AI introduces end-to-end conversation intelligence to the contact centre that maximises agent performance and productivity – before, during, and after customer interactions. Unlike other real-time solutions, Observe.AI leverages historical insights and agent performance data to personalise live guidance and coaching. This creates hyper-contextualized learning experiences for excelling in sales, CSAT, and compliance – tailored to the actual skill, behaviour, and knowledge gaps of each agent. Supervisors can guide agents in-the-moment to delight every customer, as well as course-correct when things go wrong.
Real-Time AI also bolsters the supervisor’s impact on team performance through live call intelligence and coaching. Supervisor Assist provides a bird’s eye view of all live customer interactions – including upsell opportunities, customer escalations, legal threats, and agent performance issues. This allows supervisors to gauge precisely what is happening in conversations, offer targeted support when agents need it most, and save the calls before they end.
“We believe agents are pivotal in transforming contact centre performance. When you coach scientifically on specific agent skills – instead of generic, one-size-fits-all coaching – your KPIs will fall in line,” said Swapnil Jain, CEO and Co-Founder of Observe.AI. “Observe.AI is changing real-time guidance by making it highly relevant to each and every agent, based on their actual performance data, so they are consistently coached in the right areas.”
Observe.AI customers have been using Real-Time AI to increase sales conversions by 10%, reduce hold time violations by 60%, and improve mini-Miranda script compliance by 95%. Customer American First Finance has reduced average handle time by 23%, increasing agent efficiency to take on 24% more customer calls.
“Observe.AI’s Real Time AI brings new levels of personalisation to agent coaching,” said Tom Nusspickel, Chief Operations Officer of American First Finance. “It expands our universe of data and insights that inform real-time guidance, so our agents can focus on what’s actually relevant to them rather than be bombarded with irrelevant alerts. We feel we’re better positioned to act quickly and precisely to improve the service we provide to our customers and financial partners.”
Real-Time AI also introduces a no-code Experience Designer for effortlessly deploying custom agent experiences and personalising the Real-Time interface for each agent or cohort. Furthermore, automated actions in Real-Time AI create consistent call notes across all interactions and improve CRM data quality.