The Spotlight: Autonomous Support

Ideas, playbooks, and real lessons from building autonomous support. Learn what works, what breaks, and how top teams scale CX with AI.

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Product

Automated Ticket Resolution | True Resolution vs. Deflection

Evaluate AI agents for autonomous resolution, not just deflection. See benchmarks, platform criteria, and what separates real resolution from productivity tools

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Engineering

Buy vs Build AI Customer Support | Clear Framework

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SLM ai agent playbook
Product

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

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For Support Teams

Playbooks and practical lessons for running support with AI - deflection, resolution, QA, escalations, and day to day workflows that keep quality high.

EXPLORE CONTENT FOR SUPPORT

For Engineers

Deep dives on building reliable support agents - integrations, tool calling, guardrails, evals, monitoring, and shipping safely in production.

EXPLORE CONTENT FOR ENGINEERING

For Innovation Leaders

Strategic guidance on adopting autonomous support - ROI, risk, security, change management, and how to scale automation across the business.

EXPLORE CONTENT FOR LEADERSHIP
OUR SOLUTIONS

The Support AI Library

Gaming support notification showing AI-resolved missing coins restoration for player account issues

Gaming

Built for fast-paced support where every second counts. Resolves rage-quit moments, detects player intent, and keeps gamers in the game.

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AI-powered plan upgrade confirmation interface demonstrating automated SaaS subscription management

SaaS

Understands your product, plans, and workflows. Automates onboarding, upgrades, and tech issues without ever missing context.

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eCommerce support notification showing AI-resolved shipping issue with replacement item and tracking

eCommerce

Tailored for high-volume retail. Resolves order issues, automates returns, and personalizes product help faster than humanly possible.

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Related Articles

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Insights

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 ...

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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...

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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 ...

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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...

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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 ...

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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 ...

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Engineering

Engineering Acceleration Playbook

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

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Insights

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.

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Product

Deep Research

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

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30% of tickets autonomously resolved within 90 days.
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Notch is an autonomous AI customer support platform built for outcomes, not effort. Designed to replace bloated teams and deflection tactics, Notch delivers enterprise-grade support resolution at scale, with the fastest time-to-value in the market

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