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Observe.AI Named a Leader in the CMP Research Prism Report for Conversational IVR with VoiceAI

Observe.AI Named a Leader in the CMP Research Prism Report for Conversational IVR with VoiceAI

John McMullan

Director of AI Agent Marketing

Meet Observe.AI’s Agent Blueprint: Task Orchestration for Production-Grade Voice AI

Kolin Koehl

Affordable Care uses Observe.AI to balance empathy and efficiency across 400+ dental practices. AI voice agents handle routine calls while Agent Assist supports live staff, freeing time for complex care. The result: smoother workflows, confident agents, and better patient experiences.

How Affordable Care Uses AI Agents to Balance Empathy and Scale

Sharni Medina

Director of Customer Marketing

Modern ASR struggles with rare/OOV words in contact centers. Spot and Merge (SAM) uses LoRA adapters, phrase spotting, and dynamic merging to boost accuracy. It scales to large bias lists, improves rare word detection, and reduces WER without retraining.

How Observe.AI improves transcription accuracy for rare, domain-specific and out-of-vocabulary terms

Bramhendra K

Sr. Machine learning Scientist

Considering using an AI-powered summarizer tool in your call center? Learn about the hidden benefits for agents, managers, and operations

Hidden Benefits of Contact Center AI Summarizer Tools

Observe.AI

Leader in AI Agents for customer experience

Find out how can your contact center measure customer value and why should you choose AI tools to maximize that value.

Understanding Contact Center Customer Value & Why It Matters

Observe.AI

Leader in AI Agents for customer experience

Ready to level up your contact center with AI-powered tools? We’ve got all the best practices and AI solutions you need!

Contact Center Management Best Practices & AI Solutions

Observe.AI

https://www.linkedin.com/company/observeai/

AI call summaries can be factually correct yet still distort sentiment, tone, or key details. BlindSpot, Observe.AI’s new framework, uncovers and mitigates these hidden biases across five dimensions—helping contact centers ensure summaries are accurate, fair, and business-ready.

Mitigating Bias in AI Call Summaries: Introducing BlindSpot for Contact Centers

Kawin M

The launch of GPT-5 brings impressive reasoning and benchmark wins - but deploying it in live contact-center workflows isn’t a plug-and-play upgrade. Our study benchmarked 17 LLMs across six core NLU task categories, analyzing accuracy, reasoning, and latency.

What Does GPT-5 Mean for Contact-Center Tasks?

Ayush Kumar

Manager, Machine Learning

A deep dive into the architecture, strategy, and execution behind one of our largest and most complex data migrations to date.

How Observe.ai Migrated 1.8 Billion Documents with High Throughput and Zero Downtime

Rehmanali Momin

Rehmanali Momin

Software Development Engineer III

Driving Hyper-Growth with Contact Center AI ( with ERC and YourMechanic

Analytics-driven Coaching: The New Era of Contact Center Performance Management

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