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Home»Machine-Learning»Remodeling Buyer Service with AI-Powered Workflow Automation
Machine-Learning

Remodeling Buyer Service with AI-Powered Workflow Automation

Editorial TeamBy Editorial TeamOctober 28, 2025No Comments3 Mins Read
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IrisAgent has unveiled Good Working Procedures (Good OP), a groundbreaking AI platform that lets customer support groups design and automate SOPs utilizing plain English — no coding required. Empowering groups to work smarter and sooner, Good OP transforms customary procedures into clever, executable workflows that improve effectivity, accuracy, and buyer satisfaction.

IrisAgent Launches Good Working Procedures to Revolutionize AI-Pushed Workflow Automation for Buyer Service Groups.

IrisAgent, an innovator in AI options for customer support, introduced the launch of Good Working Procedures (Good OP) — a breakthrough platform that allows customer support groups to design, automate, and optimize customary working procedures (SOPs) utilizing plain English. Good OP permits organizations to seamlessly convert written directions into dynamic, executable workflows — all with out requiring any coding or technical experience.

Historically, constructing and sustaining customer support workflows concerned advanced coding, handbook configuration, and specialised technical information. Good OP eliminates these obstacles, giving customer-facing groups the ability to outline and automate their very own processes by intuitive, pure language directions.

Additionally Learn: AiThority Interview with Tim Morrs, CEO at SpeakUp

“Good OP places the ability of automation straight into the fingers of customer support professionals,” stated Palak Dalal Bhatia, CEO of IrisAgent. “Our mission has all the time been to make superior workflow automation accessible to everybody — not simply these with a technical background. With Good OP, groups can remodel static SOPs into dwelling, studying workflows that drive constant, high-quality service at scale.”

Constructed on IrisAgent’s proprietary AI automation engine, Good OP integrates with an organization’s current ecosystem — together with CRMs, ticketing methods, and cost instruments — to ship seamless operational intelligence throughout your entire customer support lifecycle. The system ensures compliance, manages escalations intelligently, and permits groups to simulate workflows in real looking environments earlier than going stay.

Good OP helps customer support groups:

  • Translate current SOPs into actionable, AI-powered workflows
  • Combine seamlessly with instruments like Salesforce, Zendesk, and cost or logistics methods
  • Guarantee compliance and auditability with built-in governance options
  • Take a look at, optimize, and refine procedures utilizing simulation environments earlier than implementation
  • Automate repetitive duties whereas preserving human oversight the place it issues most

By empowering non-technical employees to deploy and refine automated workflows, Good OP reduces dependency on engineering assets and shortens time-to-deployment. This not solely accelerates innovation inside service groups but in addition ensures that buyer experiences stay constant and compliant throughout each interplay.

“Customer support leaders in the present day are below immense strain to ship quick, correct, and empathetic assist — typically with restricted assets,” stated Palak. “Good OP bridges that hole, mixing AI precision with the flexibleness of human intelligence. Groups can now concentrate on fixing buyer challenges as an alternative of managing methods behind the scenes.”

The introduction of Good OP marks a milestone in IrisAgent’s ongoing mission to redefine clever automation for assist and operations. Early adopters have reported as much as 40% sooner decision instances and important reductions in course of errors utilizing the platform’s AI-based automation assistant.

Additionally Learn: Cognitive Product Design: Empowering Non-Technical Customers By way of Pure Language Interplay With AI-Native PLM

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]



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