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Capita

Document Processing

Capita wanted to improve accessibility, task management, organisation, focus, and drafting support for neurodivergent employees while maintaining productivity during a period of strategic transformation.

saved me approximately 30% of my time

Reported impact

Business outcome

Capita reports easier navigation of complex tasks, reduced cognitive load, improved accessibility for neurodivergent colleagues, about 30% time savings on some strategic tasks, reduced overtime and work-related anxiety, and greater confidence in completing difficult work.

  • Productivity Improvement

Solution

Capita deployed Microsoft 365 Copilot within the Microsoft 365 applications employees already use and positioned the rollout around accessibility and inclusion for neurodivergent colleagues. The source does not describe a custom AI stack; instead, it says the implementation relies on Microsoft 365 Copilot's embedded generative AI capabilities inside day-to-day workflows. Staff in sales, bid management, and HR use the tool's personalised prompts and reminders, writing assistance, meeting summarisation, and action-list generation to handle complex projects and routine work with less cognitive strain. Accessibility-related features such as voice commands and screen reader compatibility are highlighted as important parts of the deployment. In practice, users bring their normal meeting, email, document, and task context into Microsoft 365 Copilot, which returns summaries, job specs, reminders, and other drafted outputs directly in the workflow. Capita also emphasised enablement so neurodivergent colleagues could adopt the tool without added pressure or discrimination.

Data flow

Employees in sales, bid management, HR, and other teams work inside Microsoft 365 apps, where Microsoft 365 Copilot uses meeting content, emails, documents, and task context to generate reminders, summaries, drafts, job specs, and action lists. Those outputs are returned in the same workflow for colleagues to manage projects, stay organised, and reduce manual effort.

Solution architecture

1 components · 1 layer
  1. Serving
    • Microsoft 365 Copilot Provides embedded generative AI assistance in everyday Microsoft 365 workflows, including reminders, drafting, meeting summarisation, and action-list creation.

Architecture clues

  • Accessibility features called out include voice commands and screen reader compatibility
  • Embedded within the apps employees use every day
  • Rollout emphasis included adoption support for neurodivergent colleagues
  • Used across sales, bid management, and HR

Evidence from the source

"(M365) Copilot has significantly improved my work efficiency by automating tasks like summarising meetings, as well as creating job specs and action lists, all of which have reduced my work-related anxiety."
"At Capita, colleagues from various departments, including sales, bid management and HR, have all reported that M365 Copilot's intuitive interface and personalised assistance have made it easier to navigate complex tasks."
"Using M365 Copilot for specific, strategic tasks has saved me approximately 30% of my time, allowing me to focus on more critical aspects of my role"
"individuals with ADHD may struggle with staying organised and on track, while those with dyslexia might find drafting emails and managing large texts particularly challenging."
"the voice commands and screen reader compatibility made their work much more manageable."
Transparency Evidence & methodology 90/100 reference value · 90% 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 value90/100
  • 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 scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence90%
  • Source authority25/25
    The deployment is described by the adopting organization or a government source.
  • Claim traceability25/25
    12 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 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. Capita

    Empowering neurodivergent talent with Microsoft 365 Copilot at Capita | Capita

    First-party
    https://www.capita.com/news-and-insights/insights/2025/empowering-neurodivergent-talent-microsoft-365-copilot-capita
    Source type
    Customer-published story
    Supports
    • Customer
    • vendor
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • Business outcome
    • Metrics
    • Architecture
  2. LinkedIn

    Capita | LinkedIn

    Independent secondary
    https://www.linkedin.com/company/capita/

    The company page lists 26,353 associated employees, a 10,001+ employee size band, and London, England as headquarters.

    Source type
    Structured company profile
    Supports
    • Company size
    • Region
Not separately sourced Industry. Treat these normalized attributes as lower-confidence until a dedicated source is added.