ServiceNow Software / SaaS United States

Avalara

IT Operations Automation · Security and Compliance

Avalara needed to keep IT, HR, risk, security, and workplace operations scalable as the company grew rapidly and processed billions of tax-calculation API calls, but fragmented tools and manual workflows made onboarding, support, access provisioning, and vulnerability response too slow and expensive.

$1.03 million in savings over one year
78% of software provisioning and deprovisioning automatically
a 3.5X return on investment
around 800 hours per month

Reported impact

Business outcome

Avalara generated $1.03 million in one-year ITSM savings, achieved a 3.5x return on investment, reduced IT tickets and manual provisioning work, kept employee satisfaction above 95%, accelerated HR resolution, and saved security and risk teams hundreds of hours each month through a centralized, AI-first service platform.

  • Compliance
  • Cost Reduction
  • Customer Experience
  • Productivity Improvement

Solution

Avalara standardized internal service delivery on the ServiceNow AI Platform so multiple functions could share data, automation, and AI assistance from one system. IT Service Management anchors the design, while Now Assist generates case notes and knowledge articles, AI Search summarizes answers from a 2,000-article knowledge base, and a virtual agent handles employee requests in Employee Center Pro and Slack. That agent also triggers automated software provisioning workflows in ServiceNow, while HR Service Delivery centralizes case routing and tracking, Integrated Risk Management and Third-Party Risk Management consolidate vendor and compliance oversight, and Security Operations connects vulnerability findings with remediation work. ServiceNow Impact supplies KPI tracking and accelerators so a small platform team can deploy features quickly, proving out an AI-first operating model across back-office and employee-facing workflows.

Data flow

Employee and operational requests enter through Employee Center Pro, Slack, and ServiceNow workflows; AI services summarize knowledge and cases, virtual agents automate ticketing and provisioning, and shared data across IT, HR, risk, and security drives coordinated remediation and support actions.

Solution architecture

7 components · 4 layers
  1. Compute
    • Now Assist for ITSM Generates case notes, knowledge articles, and virtual-agent experiences for employee support.
  2. Serving
    • IT Service Management Runs Avalara's core service-delivery workflows and ties multiple support experiences into one system.
    • Employee Center Pro Serves as the front door where employees access forms, policies, records, and AI-assisted support.
    • HR Service Delivery Centralizes HR case routing, tracking, and future AI summarization workflows.
  3. Orchestration
    • ServiceNow AI Platform Provides the shared workflow, data, and AI foundation for Avalara's IT, HR, risk, security, and asset processes.
  4. Governance
    • Integrated Risk Management Unifies risk visibility so teams can prioritize vulnerabilities and compliance work.
    • Security Operations Connects vulnerabilities to remediation workflows and saves security-team labor.

Architecture clues

  • A custom provisioning tool is triggered by ServiceNow AI agents for software access requests.
  • Avalara uses virtual agents in both Employee Center Pro and Slack.
  • ServiceNow Impact provides KPI tracking, accelerators, and health assessments for the platform team.

Evidence from the source

Avalara chose the ServiceNow AI Platform to reduce IT workloads, speed up deployments, and eliminate costly integrations.
Avalara now completes 78% of software provisioning and deprovisioning automatically, saving 1,500 hours per month.
Employees can now talk with a virtual agent through Employee Center Pro or Slack, which has reduced the number of IT tickets filed by 57%.
It saw $1.03 million in savings over one year, a 3.5X return on investment.
Transparency Evidence & methodology 100/100 reference value · 79% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    9 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence79%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. ServiceNow

    Avalara customer story

    First-party
    https://www.servicenow.com/customers/avalara.html
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived May 19, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Jul 30, 2026 · ServiceNow · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.