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Microsoft Software / SaaS South Africa

Scope Technology

Risk Management

With a solid technological foundation, Scope had everything it needed to augment its offering. Chief among them was a Usage-Based Insurance (UBI) system—a technology that adjusts insurance premiums based on individual driving behavior data, like how much, how well, or when a person drives. “Shifting to a very strong focus on artificial intelligence (AI), we began utilizing Azure Cognitive Services to automatically detect vehicle damage from images,” O’Regan explains. “We had a product that reconstructed accidents from telematic data with 3D playback, and then users would upload images of the damage. The question arose: Can we automatically identify that there is damage, so a human doesn't have to review it?” Scope solved it with AI.

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A global leader in automotive connected services, Scope Technology harnesses vehicle telematics data to provide actionable insights for fleets, insurance and automotive companies. It has expanded its operations to over 50 countries, helping businesses of all shapes and sizes innovate their services. “We've gone from a smallish local company into a massive internet of things (IoT) and data enterprise that provides tailored connected mobility solutions around the world,” states Sean O’Regan, Head of Research and Development (R&D) at Scope Technology.
Around eight years ago, Scope migrated to Microsoft Azure cloud to enhance its telematics ecosystem. “This was a natural transition for us, as our platforms have been built on Microsoft technologies from day one,” says O'Regan. The migration was seamless, as expected, providing the company with the enhanced security and stability required for the new age of its AI-based solutions. Furthermore, considerable infrastructure savings followed. “The Microsoft team assisted us in optimizing our cloud use to the extent that our monthly expenses dropped by 20%, despite our data processing increasing by more than a third,” reveals O’Regan.
“Microsoft team assisted us in optimizing our cloud use to the extent that our monthly expenses dropped by 20%, despite our data processing increasing by more than a third.”

Reported impact

Business outcome

In twenty years, Scope Technology has completely transformed how companies use telematics data. Building on a suite of Microsoft solutions like Azure and OpenAI Services, it enables fleets, insurance providers and automotive customers to encourage safer driving habits, promote eco-driving and improved vehicle usage efficiency. Through gamification, personalized communication, and AI-driven processes like automated detection of vehicle damage, the company is reshaping the growing mobility landscape globally, inclusive of fleet management, Usage-Based insurance and financial services.

  • Customer Experience
  • Risk Reduction

Solution

In twenty years, Scope Technology has completely transformed how companies use telematics data. Building on a suite of Microsoft solutions like Azure and OpenAI Services, it enables fleets, insurance providers and automotive customers to encourage safer driving habits, promote eco-driving and improved vehicle usage efficiency. Through gamification, personalized communication, and AI-driven processes like automated detection of vehicle damage, the company is reshaping the growing mobility landscape globally, inclusive of fleet management, Usage-Based insurance and financial services. A global leader in automotive connected services, Scope Technology harnesses vehicle telematics data to provide actionable insights for fleets, insurance and automotive companies. It has expanded its operations to over 50 countries, helping businesses of all shapes and sizes innovate their services.

Solution architecture

2 products mentioned
  • Azure
  • Azure OpenAI Service

Evidence from the source

A global leader in automotive connected services, Scope Technology harnesses vehicle telematics data to provide actionable insights for fleets, insurance and automotive companies. It has expanded its operations to over 50 countries, helping businesses of all shapes and sizes innovate their services. “We've gone from a smallish local company into a massive internet of things (IoT) and data enterprise that provides tailored connected mobility solutions around the world,” states Sean O’Regan, Head of Research and Development (R&D) at Scope Technology.
In twenty years, Scope Technology has completely transformed how companies use telematics data. Building on a suite of Microsoft solutions like Azure and OpenAI Services, it enables fleets, insurance providers and automotive customers to encourage safer driving habits, promote eco-driving and improved vehicle usage efficiency. Through gamification, personalized communication, and AI-driven processes like automated detection of vehicle damage, the company is reshaping the growing mobility landscape globally, inclusive of fleet management, Usage-Based insurance and financial services.
One of the key success factors behind that evolution is Scope’s innovation-oriented ethos. “We are pioneers, and when new technology comes out, we quickly incorporate it into our products,” explains Cassio Enrico Campos, Managing Director and Board Member at Scope Technology. “We do this to ensure we can foresee what our customers will need in two or five years from now. Instead of following the market, we create disruptive solutions using technology.”
With a solid technological foundation, Scope had everything it needed to augment its offering. Chief among them was a Usage-Based Insurance (UBI) system—a technology that adjusts insurance premiums based on individual driving behavior data, like how much, how well, or when a person drives. “Shifting to a very strong focus on artificial intelligence (AI), we began utilizing Azure Cognitive Services to automatically detect vehicle damage from images,” O’Regan explains. “We had a product that reconstructed accidents from telematic data with 3D playback, and then users would upload images of the damage. The question arose: Can we automatically identify that there is damage, so a human doesn't have to review it?” Scope solved it with AI.
Transparency Evidence & methodology 70/100 reference value · 83% 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 value70/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth0/25
    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
    2 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence83%
  • 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 provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity4/10
    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. Microsoft

    Scope Technology customer story

    First-party
    https://www.microsoft.com/en/customers/story/1723099687427917516-scopetechnology-azure-professional-services-en-south-africa
    Source type
    Vendor-published customer story
    Published
    Jan 9, 2024
    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

Date evidence

  • Published on source page Jan 9, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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