The measurement gap
Server uptime, patch compliance, and ticket SLAs measure IT's view of the system. They don't answer whether a device is fast enough, applications are reliable, or employees feel supported.
AI Powered DEX250+ automation rules
AI Powered DigitalEmployee Experience
AI powered DEX scoring, 250+ automation rules, and measurable workforce outcomes across every managed endpoint. The organizations that win on employee experience are those that fix problems before employees notice them.
XpediOo continuously computes a composite experience score from real telemetry across Device Performance, Application Health, Connectivity, and Employee Sentiment. Then a rule engine with 250+ configurable scenarios acts automatically, with blast radius, cooldown, and approval controls, to resolve conditions before they generate service desk tickets.
DEX score overview
250+
Automation rules
4
DEX scoring pillars
8
Trigger categories
40+
Trigger types
The case for change
Why traditional IT metrics can't capture employee experience
Uptime is not experience. Availability is not satisfaction. The gap between IT's view and the employee's reality is where productivity is lost.
The delay problem
A service desk ticket is a lagging indicator. By the time an employee submits one, they've already lost time and formed a negative judgment. Many never submit a ticket at all.
The scale problem
A network issue affecting 40 devices in one subnet, or a crash rate spike after an update, is invisible to a help desk watching for tickets across thousands of endpoints.
The proof of value problem
Without a measurement framework, IT can't credibly show a CHRO or CFO that a refresh, upgrade, or consolidation actually improved employee productivity.
Platform philosophy
From reactive IT support to proactive experience intelligence
The organizations that win on employee experience are those that fix problems before employees notice them.
Reactive IT support
- The measurement gap
- The delay problem
- The scale problem
- The proof of value problem
Proactive experience intelligence
- Every score, AI insight, and automation rule fires on real endpoint telemetry, not samples, estimates, or self reported figures
- A composite four pillar score pinpoints exactly which dimension (device, app, connectivity, or sentiment) is responsible for a poor experience
- AI is an operating layer woven throughout the platform, not a single bolt on feature
- 250+ governed automation rules resolve conditions before they generate a service desk ticket
- Every automated action is governed by approval workflows, blast radius caps, cooldown windows, dry run simulation, and an immutable audit trail
- Peer benchmarking and AI generated executive briefings connect daily telemetry to boardroom investment decisions
Operating model
How XpediOo DEX operates in practice
The same four step cycle repeats across the platform: measure the baseline, activate the highest value rule, review results, and report outcomes to leadership.
Stage 1
Measure the baseline
Deploy telemetry across the fleet and run an initial score rebuild to establish the composite and pillar level starting point.
Stage 2
Activate the highest value rule
Use AI gap analysis to identify the automation opportunity with the highest fleet coverage, then build and approve the rule.
Stage 3
Review results and expand coverage
Monitor execution history and tickets prevented, adjust blast radius and cooldown settings, and add the next rule.
Stage 4
Report outcomes to leadership
Generate an executive briefing that connects score improvement and ticket deflection to the investment decision.
Built for high impact operations
250+ automation rules and AI woven through every stage
AI is not a single feature in XpediOo DEX. It is an operating layer woven throughout, backed by a governed automation engine that resolves conditions before they become tickets.
High impact features
Automation control across the endpoint estate
- 250+ governed automation rules across 8 trigger categories and 40+ specific trigger types
- Every rule is built through a three step wizard (Configuration, Script Builder, Review) and enters pending_approval until an administrator or manager signs off
- Blast radius percentage caps and cooldown windows bound every execution to a safe, reversible share of the affected population
- Dry run simulation shows exactly which endpoints a rule would touch before it ever runs live
- A rollback endpoint reverses a completed execution's effects on the endpoints where it succeeded
- Composite rules chain multiple actions (restart a service, then ticket, then alert) into a single governed playbook
- Visual Flow Designer extends automation into multistep, multisystem orchestration with native Jira and ServiceNow nodes
- Scoped external API keys let ITSM, monitoring, and CI/CD systems trigger specific rules without console access
AI features
AI as an operating layer, not a bolt on feature
- Per endpoint AI analysis with an overall experience summary, four pillar level insights, and recommended actions ranked by impact
- AI gap analysis scans the rule library against fleet conditions to surface automation coverage gaps and recommend new rules
- Help Desk AI Copilot converts plain English questions into safe, read only SQL queries against live fleet data
- AI generated executive briefings translate DEX telemetry into board ready business language, saved and compared across periods
- AI Tool Adoption Intelligence tracks Microsoft Copilot, ChatGPT Enterprise, and Claude Enterprise usage against industry benchmarks
- AI assisted script builder drafts PowerShell, Bash, or Python remediation scripts inside the rule wizard
- Graceful fallback guides operators to the right pillar telemetry for manual review whenever the AI service is unavailable
Automation command center
Govern every rule before it reaches an endpoint
DEX AutomationA live view of rule inventory, approval status, execution volume, and tickets prevented, with simulation, scan impact, API key, and approval controls on every rule.
DEX Automation
System Health automation
Keep endpoints healthy without disrupting users
Endpoint Health MaintenanceSchedule governed tune up tasks across Windows and Linux endpoints, from browser, package, cache, log, registry, and DNS cleanup to disk space reporting and system maintenance.
Endpoint Health Maintenance
Four pillar scoring
A composite DEX score that pinpoints where experience breaks down
A single score that says "experience is poor" is not enough. The four pillar model tells you exactly which dimension is responsible.
Coverage 1
Device Performance
Hardware health, resource utilisation, and failure prediction: the foundation every application experience runs on.
- CPU utilisation, memory pressure, disk I/O saturation, and disk capacity across every managed endpoint
- Hardware failure forecasting, battery health tracking, and boot time and uptime anomaly triggers
Coverage 2
Application Health
Crash rates, launch latency, and real application reliability, where digital experience becomes a productivity fact.
- Crash events, hang detection, launch latency, and version compliance from endpoint agents and the browser extension
- Automated response to crash rate spikes, version floor violations, and shadow IT detection
Coverage 3
Connectivity
Wi-Fi stability, VPN reliability, DNS quality, and network path intelligence for office, remote, and hybrid employees.
- Wi-Fi signal and stability, VPN authentication, DNS resolution, and gateway reachability
- Three segment LAN / ISP / cloud path attribution for remote and hybrid workforces
Coverage 4
Employee Sentiment
Quantifying how employees feel about their digital experience, the dimension objective telemetry can't measure alone.
- Targeted DEX campaign surveys scored into the Sentiment pillar of every endpoint's composite score
- Correlate subjective sentiment against objective device, app, and connectivity telemetry
DEX score overview
See the employee experience picture at a glance
Four pillar visibilityThe DEX Overview brings composite scores, fleet bands, pillar averages, endpoint level scores, and data confidence into one operational view.
Four pillar visibility
DEX score intelligence
Score history, per endpoint factors, and the data confidence model
A score is only useful if you understand what is driving it, how it has changed, and how confident you should be in the data behind it.
Top factors
Ranked contributing factors
Each score's top contributing factors combine a pillar, a factor name (e.g. memory pressure, Wi-Fi signal strength), a detail explanation, and an impact weight.
Score history
Trend and regression detection
Per endpoint score history enables before and after measurement for every automation intervention and detects cyclical or sudden degradation.
Data confidence
Confidence weighted scoring
Scores from full four pillar telemetry carry high confidence; partial telemetry (a missing browser extension or intermittent Satellite Client) is flagged as lower confidence.
Band filtering
Excellent / Good / Fair / Poor
Operators filter the fleet by score band to focus remediation effort on the endpoints with the most severe experience conditions first.
DEX peer benchmarking
Put your experience score in context
Industry comparisonCompare composite and four pillar scores with anonymized peer data by industry sector and company size, then see exactly where your experience stands against the median and top quartile.
Industry comparison
Automation governance
Every rule governed: approval, blast radius, cooldown, dry run, and rollback
The power of 250+ automation scenarios is only enterprise safe when every rule is approved, every execution is bounded, and every action can be reversed.
01
Three step rule wizard
Every rule is created through Configuration, Script Builder, and Review steps before it can be submitted.
02
Pending approval by default
New and edited rules enter pending_approval state automatically and cannot execute until approved.
03
Role separated approval
Only administrator or manager roles can approve, reject, or submit rules for approval.
04
Reapproval on change
A rule whose configuration is modified while active is reset to pending_approval until reapproved.
05
Blast radius percentage caps
Every rule limits the proportion of matched endpoints it can act on in a single execution.
06
Cooldown windows
A minimum interval between firings prevents a condition from triggering a rule repeatedly on the same endpoint.
07
Dry run simulation
Rules can log a planned execution and report the affected agent count without touching any endpoint.
08
Rollback endpoint
A successful execution's effects can be reversed on the endpoints where the action succeeded.
09
Recorded rejection reasons
Rejected rules carry a documented rejection reason that becomes part of their operational record.
AI platform intelligence
AI is not a single feature. It's an operating layer
AI generates per endpoint insights, identifies automation gaps, powers the help desk copilot, writes executive briefings, and tracks AI tool adoption itself.
Per endpoint AI analysis
On demand experience summary plus Device, App, Connectivity, and Sentiment insights with ranked recommended actions.
AI gap analysis
Scans the rule library and fleet conditions to find automation coverage gaps and recommend new rules with remediation steps.
Help Desk AI Copilot
Turns natural language questions into read only SQL against live fleet data, with schema visibility and saved queries.
Executive AI briefings
Generates board ready summaries connecting telemetry to business language, saved and compared period over period.
AI Tool Adoption Intelligence
Tracks Microsoft Copilot, ChatGPT Enterprise, and Claude Enterprise adoption, engagement, and friction against industry benchmarks.
AI assisted script builder
Drafts PowerShell, Bash, or Python remediation scripts inside the rule wizard for validation and review.
The rest of the platform
Eight more capabilities across measurement and automation
From peer benchmarking and virtual desktops to orchestration, adoption, self service, and integration, the platform extends well beyond scoring and rules.
01 / 08
Platform architecture and telemetry
Every score, AI insight, and automation rule fires on real endpoint telemetry collected through Satellite Clients and the browser extension, not samples, estimates, or self reported data.
- Satellite Clients capture CPU, memory, disk I/O, application events, Wi-Fi, VPN, DNS, and agent heartbeat data from every managed endpoint
- The DexScoreBackgroundService continuously recomputes composite scores and maintains per endpoint score history for trend analysis
- The browser extension adds page load time, interaction latency, and session telemetry for SaaS applications endpoint agents can't see alone
02 / 08
DEX peer benchmarking
A DEX score means more with context. The Benchmarking module compares composite and pillar scores against peer organizations by sector and company size.
- Benchmarks are expressed as peer median scores with 25th and 75th percentile boundaries for the composite score and all four pillars
- Pillar level comparison reveals where investment is misaligned, for example strong device and connectivity scores but below median app health and sentiment
- Export and report functionality packages benchmark data for board technology committees, procurement, and compliance reviewers
03 / 08
VDI and external network intelligence
As work moves through virtual desktops and SaaS, experience monitoring follows the full path, not just the physical endpoint.
- The VDI Experience module tracks composite scores, infrastructure versus endpoint fault splitting, and session reliability for Citrix and Azure Virtual Desktop
- The External Network module scores LAN, ISP, and cloud/SaaS path segments independently, pinpointing whether a broken call is the Wi-Fi, the home ISP, or the cloud service
- Network fault attribution compares all three path segments simultaneously to identify the most likely root cause of a degraded remote experience
04 / 08
Visual Flow Designer
Rules handle single event response. Flows extend automation into multistep, multisystem orchestration built on a visual canvas.
- A flow is a directed graph of trigger and action nodes connected by edges, built with drag and drop and saved, versioned, validated, and dry run simulated
- Native integration nodes for Jira and ServiceNow create issues, incidents, or requests with dynamic template variables like {{hostname}} and {{agent_id}}
- A curated gallery of seven prebuilt flow templates gives teams a complete starting point instead of building every flow from scratch
05 / 08
Digital adoption journeys
Deploying software is not the same as adopting it. In app journeys close the gap between installation and confident daily use.
- Journeys combine tooltips, spotlights, and multistep walkthroughs targeted at specific UI elements, published without changing the target application's code
- Step level completion analytics identify exactly where employees disengage, so authors can simplify the steps with the highest drop off
- Journey completion feeds the Employee Sentiment pillar, correlating adoption with lower crash and hang rates on the applications covered
06 / 08
Employee self service (Employee Assist)
The fastest support experience is one where the employee resolves their own issue, guided by AI, in less time than it takes to type a ticket.
- A conversational assistant selects the most relevant playbook for the employee's described problem and device context
- Every recommended action requires explicit employee confirmation before it executes, with the full session transcript recorded
- Failed self service escalates to the help desk with the complete diagnostic history already attached, cutting resolution time
07 / 08
Work from home intelligence
WFH is a permanent operating model that needs the same management discipline as the office, without resorting to invasive monitoring.
- The WFH dashboard reports remote device compliance rate, productivity threshold compliance, and per employee productive and nonproductive hours
- Application usage is classified into productive, nonproductive, communication, development, creative, or custom categories for fleet level visibility
- Employees whose productive hours fall below threshold submit a reason directly, visible to administrators alongside schedule and policy management
08 / 08
External integration and scoped API access
The DEX External API connects automation to the broader operational ecosystem without creating a separate automation silo.
- External systems can list enabled rules, execute a rule against a target endpoint set, and poll execution status through a REST interface
- Scoped API keys restrict each integration to a specific list of rules it is authorized to trigger, with full rotation and revocation support
- Webhook action nodes extend flows to PagerDuty, Opsgenie, Microsoft Teams, Slack, and custom internal systems beyond the native Jira/ServiceNow nodes
Implementation
A phased adoption path from first score to enterprise automation program
DEX programs that succeed start with a clear measurement baseline, identify the highest value automation opportunities, and expand coverage from evidence.
01Phase 01
Establish the measurement baseline (Weeks 1–4)
Deploy Satellite Clients, verify telemetry across all four pillars, run the initial score rebuild, deploy the browser extension, and run the first AI gap analysis.
02Phase 02
Activate the highest value automation rules (Weeks 5–10)
Prioritize System Health and Security rules from the gap analysis, build each through the three step wizard, simulate and dry run before activating, then track tickets prevented weekly.
03Phase 03
Expand to experience and adoption (Weeks 11–18)
Launch sentiment campaigns for Poor band endpoints, stand up AI tool adoption tracking, configure the WFH dashboard, publish adoption journeys, and connect the automation API to the service desk.
04Phase 04
Program maturity and continuous improvement (Week 19+)
Review the fleet score distribution quarterly, run gap analysis monthly, and expand the rule library toward full coverage across all eight trigger categories.
Next steps
Start with measurement, automate with evidence
The most successful DEX programs begin with a clear scope, a measurable baseline, and one automation rule that proves value in the first week.
- Define a scoped starting population (a business unit, location, or device category) to establish a clean measurement baseline
- Run the first AI gap analysis and identify the three most prevalent Poor band conditions with the clearest automated response
- Create, validate, simulate, and activate those first three rules, then track tickets prevented in week one as evidence
- Generate the first executive briefing within the first month to build organizational alignment, then repeat it on a monthly cadence
Customer outcomes
What organizations gain from a mature DEX program
The value of DEX is measured in time recovered, tickets deflected, risks resolved, talent retained, and investments justified.
Productivity recovery
Mature DEX programs resolve endpoint experience problems 3–5x faster than ticket driven support, recovering hours of productive time across the fleet every week.
Ticket deflection
Organizations typically report 20–40% reductions in service desk ticket volume in the categories where automation rules are active.
Security posture
Security and compliance rules detect and remediate posture conditions in near real time, lowering mean time to detection and mean time to response.
Talent and retention
Four pillar DEX scores, sentiment trends, and executive briefings give HR and IT leadership evidence that technology quality (a top three driver of job satisfaction) is improving.
Next steps
Start with a scoped measurement baseline
A phased rollout that proves value with the first three automation rules in week one builds more trust than a demo, and creates the evidence to expand toward full automation coverage.
- Step 1
Define your scope
Choose a business unit, location, or device category for your initial measurement baseline.
- Step 2
Activate the first three rules
Target the most prevalent Poor band conditions with the clearest automated response.
- Step 3
Schedule the first briefing
Present the initial DEX baseline and tickets prevented within the first month.