Capgemini Financial Services North America

Navy Federal Credit Union

IT Operations Automation

NFCU needed to replace a legacy CRM environment that forced employees to work through manual steps, disconnected systems, and complex security workflows that slowed case handling and increased compliance risk.

Improved case closure rates by over 50%
Reduced the time to complete tasks from days to hours

Reported impact

Business outcome

NFCU improved case closure rates by over 50%, reduced task completion times from days to hours, lowered processing errors, and strengthened regulatory compliance while improving the employee experience.

  • Compliance
  • Productivity Improvement
  • Risk Reduction

Solution

Capgemini helped Navy Federal Credit Union replace fragmented back-office and CRM processes with a unified operating model centered on a modern CRM platform and Microsoft AI Business Solutions. Legacy case handling, security checks, and research-heavy workflows were redesigned so work could move through a single environment instead of disconnected tools and manual handoffs. AI services automate classification, validation, routing, and next-best-action guidance, giving staff structured recommendations while keeping humans in control of case resolution. The implementation paired process re-engineering with technology integration so case data, workflow status, and compliance steps are handled consistently across teams. By reducing repetitive work and improving information access inside the CRM flow, NFCU created a faster, more reliable, and more compliant operating model for day-to-day back-office processing.

Data flow

Legacy case and customer work is consolidated into a unified CRM platform, where Microsoft AI Business Solutions classify, validate, route, and guide next actions before employees complete the case inside the modernized workflow.

Solution architecture

2 components · 2 layers
  1. Compute
    • Microsoft AI Business Solutions Automates case classification, validation, routing, and next-best-action guidance for employees handling back-office work.
  2. Serving
    • Customer Relationship Management (CRM) platform Acts as the single environment that unifies legacy case work, workflow status, and employee activity across back-office operations.

Architecture clues

  • AI was applied to classification, validation, routing, and next-best-action guidance in back-office workflows
  • Legacy systems were unified into a single modern CRM platform

Evidence from the source

"Improved case closure rates by over 50%"
"NFCU’s day-to-day operations were being held back by its legacy CRM environment, leaving the team relying on manual steps, disconnected systems, and complex security workflows."
"Reduced the time to complete tasks from days to hours"
"Together, they put a plan in place: unify NFCU’s legacy systems into a single, modern CRM platform, redesign its workflows to eliminate manual steps and improve compliance, and infuse Microsoft AI Business Solutions to automate classification, validation, routing, and next‑best‑action guidance."
Transparency Evidence & methodology 85/100 reference value · 93% confidence · 2 sources

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 value85/100
  • 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 impact15/25
    1 metric describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence93%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency10/10
    2 source references 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. Capgemini

    Navy Federal Credit Union transforms its legacy back-office processes by harnessing AI - Capgemini India

    First-party
    https://www.capgemini.com/in-en/news/client-stories/navy-federal-credit-union-transforms-its-legacy-back-office-processes-by-harnessing-ai/
    Source type
    Vendor-published customer story
    Published
    Feb 24, 2026
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. Navy Federal Credit Union

    2026 FACT SHEET - Navy Federal Credit Union

    First-party
    https://www.navyfederal.org/content/dam/nfculibs/pdfs/fact-sheet/FactSheet-09-2026.pdf

    Worldwide 25,450 Employees. AS OF JUNE 30, 2026.

    Source type
    Official company website
    Supports
    • Company size

Date evidence

  • Published on source page Feb 24, 2026 · Capgemini · First-party
    Open date source
Not separately sourced Industry, Region. Treat these normalized attributes as lower-confidence until a dedicated source is added.