Neuron7 Unveils Complete Service Intelligence Stack: Predict, Automate, and Improve

Building on 5.8 million hours of proven uptime, Neuron7 launches predictive maintenance, a no-code agent builder, and the industry's first AI-readiness scoring platform for service organizations

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SAN JOSE, Calif., April 8, 2026 — Neuron7.ai, the leader in Service AI Agents for  Fortune 1000 enterprises, today announced the general availability of Predictive Service Intelligence capabilities, a Low-Code Agent Builder, and the industry's first Service AI-Readiness Score. The three additions represent a major expansion of the company's Resolution OS platform. The announcement follows Neuron7 customer NCR Atleos's (NYSE: NATL) public disclosure of 5.8 million hours of additional ATM availability delivered in 2025, a milestone powered in part by Neuron7's agentic service AI platform.

The Service AI Challenge: Beyond Pilots, Beyond Troubleshooting

Enterprise service organizations have spent decades optimizing the break-fix cycle: faster dispatch, better troubleshooting, more knowledge articles. The larger opportunity lies in predicting issues before they generate a work order. According to PwC research, while 79% of companies are adopting AI agents, fewer than 4% are achieving significant financial benefits. Most AI for service remains in pilot stage, bolted on top of stale knowledge bases and limited to reactive troubleshooting.

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The cost of staying reactive continues to grow. Technicians receive confident-sounding AI answers that send them down the wrong diagnostic path. Device logs flood in with thousands of signals and no separation of alarm from noise. The institutional knowledge that could prevent the next failure walks out the door with every retirement. The industry needs AI that moves beyond troubleshooting what's broken today and starts predicting what will break tomorrow.

Neuron7 Resolution OS: The Operating System for Service Expertise

Neuron7's Resolution OS is purpose-built for complex service environments including medical devices, high-tech equipment, and industrial systems. The platform creates a living Service Resolution Graph that captures expert knowledge from thousands of people, data sources, and service interactions. Unlike retrieval-augmented generation (RAG) systems that sit on top of static knowledge bases, Neuron7's AI creates, enhances, and compounds service expertise with every resolution, building an intelligence layer that grows more accurate over time.

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These new additions deliver intelligence across the complete service continuum:

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• Predictive Service Agent: Built on a simple principle: what else can be done on today's service call to prevent tomorrows? The new predictive service agent maps the full cause-and-resolution timeline across the installed base. By piggybacking a preventive task onto an existing truck roll, it eliminates a future dispatch at a fraction of the incremental cost.

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• Low-Code Agent Builder: Lets service leaders design and deploy AI agents grounded in Neuron7's resolution intelligence rather than RAG-based LLMs running on incomplete knowledge. Configure agents by product, workflow, or support tier and operationalize high-quality service data into high-accuracy outcomes across every customer touchpoint.

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• AI-Readiness Score: The Neuron7 Resolution Quality Index (RQI) is a configurable, real-time scoring system that spans from the organization level down to individual product models. It evaluates every case against weighted criteria such as root cause clarity, resolution sequence, reusability, and parts traceability. Over time, better input data produces more accurate AI outputs for every agent and use case that touches the organization's service data.

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"Most AI vendors are putting a chatbot on top of an outdated knowledge base. That's like putting GPS on top of an outdated map. We build the map, and then we make it predict where you need to go next," said Niken Patel, Founder and CEO, Neuron7.ai. "The reactive-to-proactive-to-predictive journey isn't a leap. It's a compounding curve where every resolution makes the next prediction more accurate."

Moving Beyond the Fix with Predictive Service

The new Predictive Service Agent Neuron7 allows Service Managers to predict future issues that will likely happen to a cohort of assets, converting static maintenance checklists into dynamic, asset-specific checklists. By skipping unnecessary maintenance and focusing on what's likely to fail, organizations save significant cost while improving uptime. Additionally, when a break-fix is reported, Neuron7 predicts the next likely failure by analyzing asset history and broad patterns, which drives higher first-time fix rates and fewer revisits.

Building Trusted Agents Without Code

Service organizations have no shortage of AI agent platforms to choose from, but most are built on probabilistic LLMs that scale speed without scaling accuracy. Neuron7's Agent Builder takes a different approach. Every agent is grounded in the company's deterministic resolution pathways, delivering high accuracy without prompt engineering or custom development. Service leaders can easily configure agents by product line, support tier, or workflow. The people closest to the customer can build and deploy agents they trust, without waiting on engineering or worrying about more vendor lock-in from their CRM/FSM providers.

Introducing the AI-Readiness Platform

One of the most cited obstacles for AI success is data readiness. Neuron7's new AI-Readiness Platform addresses that gap with the Resolution Quality Index (RQI), a configurable scoring system that evaluates every case against weighted criteria including root cause clarity, resolution steps, reusability, and parts traceability. Starting with a baseline down to the product-model level, the platform scores each case at the point of creation and coaches service workers and customers to improve case descriptions, root-cause analysis, and parts requests before saving. Better input data drives more accurate AI outputs, not just for Neuron7, but for every AI agent that touches the organization's service data.

Customer Proof at Scale: NCR Atleos Reaches 5.8 Million Hour Uptime Milestone

NCR Atleos, a $4.1B global leader in self-service financial access managing more than 600,000 ATMs across 160 countries, has publicly reported results that demonstrate the full reactive-to-predictive journey:

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• 5.8 million hours of additional ATM availability delivered to customers in 2025, announced via press release on March 10, 2026

• 23% year-over-year improvement in service revisits, retrips, and outlier events

• 92% AI answer accuracy across unified knowledge from 17 previously fragmented platforms

• 4X return on investment achieved within 2.5 months of initial deployment

• 400,000 minutes of technician time saved through AI-guided resolution

• Completed US predictive maintenance rollout, now expanding globally

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The transformation has earned NCR Atleos the Best AI Use Case & Implementation Award at Field Service Palm Springs 2025 and the ATMIA Peter Kulik Innovation Award for AI-assisted service management in February 2026.