The Spotlight: Autonomous Support

Buy vs Build AI Customer Support | Clear Framework

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LLM vs SLM for AI Agents: Notch’s Hybrid Playbook

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Notch Recognized as One of Tomorrow's Growth Companies for 2026

Tomorrow’s growth companies are built for real-world complexity, that's why.

Conversation Testing for AI Agents

Learn how Notch uses conversation testing to keep AI agents reliable, compliant, and consistent across versions, environments, and real customer interactions.

11 Questions Every Insurance CIO Should Be Asking About AI Agents

At an industry panel and a CIO workshop in New York, the same questions kept surfacing - not about whether to adopt AI, but how to adopt it without creating a..

Conversational AI in Insurance: From Chatbot to Autonomous Agent

Conversational AI in insurance is entering a different phase - what conversational AI actually means in Insurance?

Notch Named Among the 50 Most Promising Startups for 2026

Calcalist and CTech published their annual list of Israel's 50 most promising startups. For the 17th year running, the list maps where Israel's technology sec..

AI Customer Support Resolution Rate Benchmarks 2026

What does a good AI support resolution rate look like? Explore 2026 benchmarks by platform tier and industry, and learn why the definition matters most...

Best Practices for Deploying AI in Regulated Industries

8 best practices for using AI in regulated industries. Cover risk assessment, audit trails, bias monitoring, and compliance by design for insurance and ...

How AI is Shaping Customer Service for Financial Institutions

Learn how banks and financial institutions are using AI to resolve disputes, fraud, and servicing at scale, compliantly, with full audit trails...

How to Align AI Governance with Industry-Specific Regulations in 2026

Align AI governance with the EU AI Act, NIST RMF, and ISO 42001. A practical guide for insurance, finance, and healthcare organizations heading into 2026...

Resources

NAIC AI Systems Evaluation Tool

Discover how the NAIC AI Systems Evaluation Tool evaluates high-risk insurance AI. Explore Exhibits A to D and what regulators expect from your AI governance.

Engineering Personalized Trust

How Notch deploys production AI agents into insurance and financial services - with real authentication flows, enterprise IAM integration, and five-layer com...

We Raised $30 Million to Build the AI Operating System for Regulated Industries

On why we started in insurance, what we learned about production AI, and what comes next.

AI Chatbot vs. AI Agent: Customer Support Guide

Learn how AI chatbots use rule-based scripts while AI agents reason, execute actions, and resolve complex customer queries end-to-end without human handoffs...

AI Impact on Property & Casualty Insurance Support

Discover how AI in property and casualty insurance customer support is closing the gap between automation theater and real claims resolution at scale...

How to Scale Good Judgment Without Turning It Into a Macro

A practical framework for building AI agent templates that guide resolution - not just process compliance.

Ai in Life & Health Insurance Customer Support

Learn how agentic AI is replacing outdated chatbots in health insurance with autonomous systems that resolve complex member queries 24/7...

AI for Customer Support Peaks in Insurance

Find out how insurance carriers use AI to manage FNOL surges, billing cycles, and catastrophic events with automated triage, co-pilot tools, and proactive ...

How Car Insurance Carriers Use AI for Customer Support

How car insurance carriers use AI for customer support. Learn how AI resolves policy, billing, and claims inquiries while improving resolution rates and CSAT...

How to Write RFI Questions That Reveal AI Support Vendor Capability

Learn how to write RFI questions that reveal real AI customer support vendor capabilities. Compare architecture, automation, governance, and measurable ...

What AI Claims Document Analysis and Processing Should Deliver

From FNOL intake to fraud detection to straight-through processing, what AI document analysis should deliver across claims, underwriting...

How Will AI Affect the Insurance Industry

AI customer support beats traditional methods on speed, satisfaction, accuracy, and cost per ticket. Learn how hybrid models work and where humans ...

Evaluating AI for Insurance Policy Queries

Before your next AI vendor demo, map your query distribution and define pass/fail criteria. A skeptic's guide to evaluating policy query automation that ...

Engineering Acceleration Playbook

How we built a personal operating system and a framework for leading engineering teams when AI changes the speed of everything...

AI vs Traditional Customer Support

AI customer support beats traditional methods on speed, satisfaction, accuracy, and cost per ticket. Learn how hybrid models work and where humans still matter.

Deep Research

Analytics shows what happened. Insights spot patterns. Deep Research helps you prove why - using conversation context plus metadata, with no code.

Notch Joins Microsoft Azure Marketplace

Notch joins Microsoft Azure Marketplace to accelerate fully autonomous customer support on Azure - with enterprise-grade governance, global reliability, and...

Enterprise AI Supervision

See how Notch delivers enterprise-grade AI supervision with deterministic guardrails, full audit trails, RBAC, SSO/SCIM, versioned rollouts and rollback, encr..

AI Agents vs Agentic AI

Vendor demos blur "AI agents" and "agentic AI," but the difference decides whether you automate replies or resolve customer issues end-to-end. Learn the 2026...

RBAC for AI Agents

AI agents are now acting autonomously across enterprise systems. Learn how Role-Based Access Control (RBAC) ensures safe automation, limits risk, and enables...

The Future of AI in Customer Service

How AI is transforming customer service into proactive, autonomous resolution. Discover what separates productivity tools from platforms that really solve pr...

Customer Service AI Metrics

Learn which AI customer service metrics actually matter in 2026, from Automated Resolution Rate to Agent Score, and why tracking wrong KPIs hurts your support.

How AI Is Transforming FNOL & Claims Handling

How can AI transform FNOL from a friction-filled bottleneck into an automated claims launchpad? What separates true FNOL resolution from basic automation?

Why Using AI Insurance Claims Processing Makes Sense

Learn why AI insurance claims processing delivers faster resolution, cost savings, and higher straight-through rates, and how to evaluate platforms...

Versioning AI Agents in Production

Notch treats AI agents like software: branch changes, run smart conversational tests, validate updates, and merge to production. Every configuration is versi...

Escalation Pathways in Conversational AI

A practical guide for regulated industries (insurance, healthcare, banking) on when conversational AI should reply safely, offer handover, or force escalation.

Guardrails and Escalations for AI Agents in Regulated Industries

How we build layered safety systems in insurance and finance. Insurance and financial services operate inside dense rulebooks, Here is how Notch builds layer...

Challenges & Risks of AI in Insurance Customer Support

The key challenges insurers face and the guardrails that distinguish reliable automation from liability. Insurance AI carries unique risks from claims handli...

Conversational AI in Insurance (Evaluation Guide)

Framework for evaluating conversational AI platforms in insurance. Compare resolution rates, compliance capabilities, and integration requirements for automat..

Voice

Tackling Turn Detection in Voice AI: Overcoming Noise and Interruption Challenges

Turn detection is a key challenge. This article discusses a practical, engineer-focused approach to voice AI detection.

60 AI Disruptors

We’re excited to share that Notch has been named one of the AI Disruptors 60, a new honoree list curated by Greenfield Partners and unveiled live at TechCrunch.

We Just Opened Notch’s New York Office - Here’s Why That Matters

Notch opens a new office in New York to accelerate AI support solutions in finance, insurance, and travel.

What Does Flexibility Mean in CX AI Platforms? How to Evaluate True Flexibility

"Flexibility" means different things to different vendors, and what works brilliantly for one organization may require significant adaptation for another.

Buy vs Build AI Customer Support | Clear Framework

Should you build your own AI agents? Notch's CLEAR framework breaks it down across confidence and compliance, edge cases, effort, TCO, and real-world mistakes.

LLM vs SLM for AI Agents: Notch’s Hybrid Playbook

Notch product team breaks down why SLMs are ideal for repeatable agent tasks and how a hybrid SLM plus LLM pattern improves speed, cost, and reliability.