Featured insights from the AskHandle team.
Most recent featured
2026-10-27 · Dustin Collins · 12 min read
Learn how to measure AI customer support performance using resolution rate, answer accuracy, customer effort, escalations, CSAT, and cost per resolution.
2026-10-26
Jessy Chan · 10 min read
Human-in-the-Loop AI in Customer Support | AskHandle" meta_description: "Learn when AI customer support needs human approval, handoff or oversight, and how to design reliable workflows without slowing routine requests.
2026-10-25
Katherine Holland · 10 min read
Learn how AI agents search CSV and Excel data with structured queries, exact matches, filters, calculations, and reliable data validation.
2026-10-24
Dustin Collins · 12 min read
Explore how AI agents connect to CRMs, booking and order systems through APIs, connectors and MCP, with secure permissions and reliable workflows.
2026-10-23
Aria Singh · 10 min read
Design AI fallback behavior with clarification, better retrieval, bounded answers, action stops, and human handoff.
2026-10-22
Dustin Collins · 10 min read
Build an AI-ready support knowledge base with authoritative sources, retrieval-friendly structure, testing, ownership, and maintenance.
2026-10-21
Nina Kimes · 8 min read
See what AI support agents can understand, retrieve, collect, answer, act on, route, and hand off, plus where authority should stop.
2026-10-20
Katherine Holland · 8 min read
Learn when an AI agent should use documents, structured data, live systems, or combined sources for accurate customer answers.
2026-10-19
Jessy Chan
Learn how knowledge sources, read tools, write tools, permissions, and result validation fit together in reliable AI agent workflows.
2026-10-17
Emily Henderson · 7 min read
Reduce AI hallucinations with better sources, retrieval, action validation, refusal rules, testing, and human oversight.
2026-10-16
Dustin Collins · 6 min read
Learn how to design a WhatsApp support workflow with clear jobs, business knowledge, thread state, actions, testing, and human handoff.
2026-10-15
Emily Henderson · 8 min read
Follow an AI support request from the first customer message through retrieval, action, waiting, handoff, resolution, and reopening.
2026-10-14
Dustin Collins · 8 min read
Learn how AI agent workflows combine routing, retrieval, tools, state, deterministic rules, waiting, stopping, and human handoff.
2026-10-13
Jessy Chan
Compare AI agents and traditional support chatbots by workflow, maintenance, flexibility, failure modes, and the jobs each handles best.
2026-10-12
Nina Kimes · 12 min read
Explore how AI agents manage customer communication through hybrid search, business data, conversation routing, controlled actions, and human handoff.
2026-10-11
Emily Henderson · 8 min read
Learn how to design AI-to-human handoff with clear ownership, context transfer, routing, availability handling, and measurable outcomes.
2026-10-09
Dustin Collins · 7 min read
See how WhatsApp AI agents understand requests, use business data, complete approved workflows, and hand conversations to people.
2026-10-08
Nina Kimes · 4 min read
Learn how AI agents handle customer support, use business knowledge, take approved actions, and hand off to people when needed.
2026-09-14
Emily Henderson · 3 min read
Model Context Protocol (MCP) is most useful when an AI assistant needs to work with real business systems—not just generate text from a chat prompt.
2026-09-14
Jessy Chan · 5 min read
Customers often start a support conversation before they are signed in. They may ask a general question, then need help with an order, subscription, account setting, or billing issue. In those moments, a chat experience can offer a secure login step and, after authentication, allow the AI assistant to use approved customer information to provide more relevant help.
2026-08-27
Jessy Chan · 5 min read
Omnichannel communication is a customer engagement approach that connects conversations across every channel a business uses—such as website chat, email, SMS, WhatsApp, social messaging, phone, and in-person support.
2026-08-10
Jessy Chan · 5 min read
A software ecosystem is a group of software products, services, developers, users, and partners that work around a shared platform or set of tools.
2026-08-09
Dustin Collins · 6 min read
Coding agents are replacing parts of software development: repetitive implementation, first-pass debugging, test scaffolding, and routine refactors. They are not replacing the human work of deciding what to build, why it matters, what risks are acceptable, and whether the result is truly ready to ship.
2026-08-08
Aria Singh
Data center location is not, by itself, a guarantee of privacy or security. A well-secured data center can exist in any region, and a poorly managed system can create risk anywhere. However, location matters because it determines which laws may apply to data, whether cross-border transfer rules are triggered, and what assurances a software provider must give customers about storage, access, and subprocessors.
