Use Case Intelligence RSS Search use cases Search
ServiceNow Public Sector Palmerston North, New Zealand

Palmerston North City Council

Customer Service Automation · Document Processing

Palmerston North City Council was processing land information memorandum requests through email, internet banking, manual payment confirmation, third-party document assembly, and clunky contact-center tools, which made public-record delivery slow, error-prone, and hard to adapt to new legislation.

Read the original story Explore all use cases
46 of 51 data objects are collected in just 25 seconds
90% online LIM payment uptake, up from zero previously
>88% less time to fulfill a land information request
A process that previously took up to eight days is now digitally processed in less than half an hour

Reported impact

Business outcome

The council cut LIM fulfillment time by more than 88%, pushed online LIM payments from zero to 90%, reduced contact-center resolution times by about 20%, digitized a process that once took up to eight days into less than half an hour, and now gathers 46 of 51 required land-parcel data objects in 25 seconds.

  • Compliance
  • Cost Reduction
  • Customer Experience
  • Productivity Improvement

Solution

Palmerston North City Council rebuilt LIM fulfillment and broader resident support on the ServiceNow AI Platform. Public Sector Digital Services and the Government Service Portal now let property buyers search an address, confirm it on a map, pay online, and trigger a fully digital LIM workflow instead of emailing forms and waiting days for back-office checks. ServiceNow pulls parcel and property IDs from ArcGIS, integrates with the council's finance system for payment confirmation, uses Service Request Playbook to guide officers through each compliance step, generates the PDF report, and writes the final document into the records-management system used for Public Record Act compliance. The council also modernized its contact center with Customer Service Management and Genesys Cloud so agents can work from better search, case summarization, and shared data. Reusable APIs and workflow patterns now support other councils and future services such as permits and consents.

Data flow

Residents submit LIM requests through the Government Service Portal, where ServiceNow pulls parcel identifiers from ArcGIS, confirms payment through the finance integration, and guides officers through the compliance checklist in Playbook. The platform then generates the PDF, writes it to the records system, and returns the document by email or portal download while related contact-center requests flow through Customer Service Management.

Solution architecture

4 components · 2 layers
  1. Serving
    • Government Service Portal Provides the self-service front end where residents request and download LIM documents.
    • Service Request Playbook Guides LIM officers through the checklist, history, and release steps for each case.
  2. Orchestration
    • Public Sector Digital Services Runs the digital public-service workflow for LIM requests and legislative compliance steps.
    • Customer Service Management Modernizes the council contact center with structured case handling and search-based support.

Architecture clues

  • ServiceNow automatically writes generated LIM PDFs into the council's Public Record Act compliance system.
  • The digital build was designed internally and made reusable for other services such as permits and consents.
  • The platform supports out-of-hours service for other councils across New Zealand.

Evidence from the source

A process that previously took up to eight days is now digitally processed in less than half an hour.
ServiceNow automatically pulls land parcel and property IDs from the ArcGIS geospatial platform.
ServiceNow is now used to generate the PDF, which it also automatically writes to the electronic documents and records management system, the council's Public Record Act compliance tool.
The council rolled out ServiceNow Public Sector Digital Services with the Government Service Portal to simplify this process.
The modernization of contact center project used ServiceNow Customer Service Management and Genesys Cloud.
Transparency Evidence & methodology 95/100 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 value95/100
  • 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
    4 metrics describe measurable impact.
  • Deployment scale5/10
    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
    5 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

    Palmerston North City Council customer story

    First-party
    https://www.servicenow.com/customers/palmerston-north-city-council.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

  • Sitemap last modified Jul 30, 2026 · ServiceNow · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
  • Unverified extracted date Jul 30, 2026 · ServiceNow · Unknown Legacy extracted date without source-page confirmation.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

Related

Similar use cases

See all like this
Salesforce Sep 3, 2026 California Department of Motor Vehicles Public Sector California, United States The CA DMV needed to replace legacy, siloed licensing and service systems with an omnichannel platform that could handle identity services for tens of millions of residents while cutting wait times, manual paperwork,… 175+ field offices Customer Service AutomationDocument Processing CRM Analytics · Experience Cloud · MuleSoft OpenAI Apr 15, 2026 Commonwealth of Pennsylvania Public Sector Pennsylvania, United States The Commonwealth wanted to improve the speed, clarity, accessibility, and accuracy of public services while reducing manual effort for state employees handling drafting, research, hiring support, document review,… 175 employees across 14 agencies Customer Service AutomationDocument Processing Board of Pardons online tracking system · COMPASS · ChatGPT Enterprise Microsoft Dec 9, 2024 Hellenic Cadastre Public Sector Greece Hellenic Cadastre, responsible for Greece's property records, faced delays and inefficiencies as property transactions required manual processing of paper documents, leaving some citizens waiting months or even years to… The system also tracks the cost per assessment. "Right now, the cost of each contract assessment is 0.11 euros,… Customer Service AutomationDocument Processing Azure OpenAI Service · Power BI