AI models have moved on. The data they depend on hasn't. Technicians investigate, try fixes, and close tickets, but the reasoning and judgment behind each fix is lost the moment the ticket closes. Training AI on that incomplete record bakes the gaps into your automation.

This eBook, created by ScreenMeet with ServiceNow and Tanium, explains how to build "operational truth" and prepare your IT operation for AI. You'll learn:

• Why closed tickets are an information black hole
• How to connect endpoint telemetry, workflow context, and human-validated fixes
• How validated resolutions improve coaching, knowledge articles, and QA
• Whether your data is truly AI-ready, with a practical checklist

Download the eBook and see what a single support session can teach your entire IT operation.

Most support organizations lose their richest source of intelligence the moment a remote session ends. Agents close tickets, type brief notes, and all the diagnostic context and resolution logic disappears.

ScreenMeet's AI Data Layer captures every remote support session as structured, AI-ready data inside the platforms you already trust

Simple to turn on. Fast to validate. Teams see value in weeks, not quarters.

Most organizations barely scratch the surface of ServiceNow workflow automation. They build basic if-then rules while missing the AI-powered capabilities that transform what automation can accomplish.

This guide covers the full journey from foundational flows to autonomous AI agents, with practical frameworks at every stage:

• Three stages of workflow maturity: basic automation, intelligent orchestration, and AI-powered transformation with Predictive Intelligence and Now Assist
• Flow Designer vs. Classic Workflow: when to use each, migration strategy, and best practices for resilient, maintainable automation
• AI-enhanced workflows in practice: how Predictive Intelligence, Now Assist, and AI Agent Studio work together to route, resolve, and learn autonomously
• The training data challenge: why AI capabilities plateau and how platform-native session intelligence closes the gap

TeamViewer creates an intelligence black hole. Every remote support session happens in a separate system your platform AI can't see, and with only 33% enterprise adoption, two-thirds of your support data never reaches your AI at all.

This guide breaks down the real cost of consumer-built remote support and what changes when you go platform-native:

• The AI Acceleration Loop: how platform-native support creates compounding intelligence that consumer tools can't match
• Four break points where TeamViewer kills your AI learning pipeline
• Security vulnerabilities from consumer-first architecture, including the June 2024 corporate IT breach
• Compliance gaps that leave your audit team without answers on data residency, consent logging, and session documentation
• Real-world results from ServiceNow, Salesforce, OpenTable, and Ontario Teachers' Pension Plan

BeyondTrust's appliance-based architecture traps troubleshooting intelligence outside your ITSM platform. Your AI can't learn from what it can't see, and your platform investment delivers a fraction of its potential.

This guide breaks down the real cost of bolt-on remote support and what changes when you go platform-native:

• The AI plateau: why Now Assist and Agentforce stop improving when session data stays siloed
• Security architecture risks exposed by BeyondTrust's December 2024 breach (17 customers compromised)
• Workflow fragmentation that drives up to 40% productivity loss from constant context switching
• Infrastructure overhead that turns your IT team into appliance managers instead of platform strategists
• Real-world results from ServiceNow, Salesforce, OpenTable, and Ontario Teachers' Pension Plan

Separate remote support tools create a documentation gap that limits agent productivity and starves your AI of the data it needs. Every context switch is lost knowledge.

ScreenMeet is the ServiceNow-native remote support platform that eliminates that gap entirely. Sessions launch from incidents, run within ServiceNow workflows, and automatically capture comprehensive documentation through AI, all without agents lifting a finger.

Self-funding through productivity gains with typical payback in 6-12 months.

Most ServiceNow environments sit on thousands of resolved incidents with resolution notes that say little more than "Fixed" or "Done." That missing context doesn't just slow down your agents. It limits every AI capability your platform offers.

This guide introduces the ServiceNow AI Acceleration Loop, a four-stage maturity framework that turns incomplete documentation into the structured data foundation your AI needs to deliver real results.

What you'll learn:

• Why the "Done" gap is the single biggest barrier to ServiceNow AI ROI
• How automated session documentation replaces manual note-taking without adding agent workload
• The four stages from reactive support to predictive automation, with action items for each
• How organizations are reaching 45-60% Virtual Agent deflection and 75-85% Now Assist accuracy
• A 90-day roadmap to transform your IT support operation

AI-powered ITSM isn't theoretical anymore. Teams running ServiceNow are already automating triage, generating documentation, deflecting tickets, and predicting problems before they escalate. This field guide shows you exactly how they're doing it.

Instead of a feature overview, you'll get 10 workflow-level blueprints you can evaluate and implement right away, each with clear prerequisites, timelines, and ROI projections.

What you'll learn:

• How Predictive Intelligence automates incident triage, routing, and prioritization
• A workflow that turns every resolved incident into a published knowledge base article
• How to deflect 40-60% of common requests using Virtual Agent and a stronger knowledge base
• Proactive approaches to problem detection, change risk scoring, and patch management
• A phased implementation roadmap to avoid disruption and build momentum

ScreenMeet Beam gives your IT team secure, always-on access to endpoints and headless devices - all from inside ServiceNow. No end-user interaction. No scheduling delays. Just fast, reliable resolution with a full audit trail.

This one-pager breaks down how Beam works and why leading IT organizations trust it for unattended support at scale.

Teams can stand up ScreenMeet Beam and see value in weeks, not quarters. Join 25,000+ agents already using ScreenMeet today.

See exactly how it works in the full one-pager.