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Microsoft Commercial and Professional Services United States

Softchoice

Marketing Personalization · Sales Automation

As generative AI-powered tools have burst onto the scene, Softchoice wanted to jump-start its own AI journey to boost productivity and streamline employees' daily workflows, with the goal of empowering Softchoice employees to help customers with their own digital transformations.

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Reported impact

Business outcome

"Of the users we polled, 82% agreed or strongly agreed that Copilot helped them complete a task faster and with higher quality.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth
  • Risk Reduction

Solution

Softchoice built its Microsoft solution to improve seller-productivity and pipeline workflows. As generative AI-powered tools have burst onto the scene, Softchoice wanted to jump-start its own AI journey to boost productivity and streamline employees' daily workflows, with the goal of empowering Softchoice employees to help customers with their own digital transformations. Microsoft copilot studio coordinated workflows, prompts, or deployment. User prompts and domain content are orchestrated through Microsoft Copilot Studio, processed by Microsoft Copilot Studio, and then delivered through Microsoft Copilot Studio so Softchoice can return context-aware answers or automation in the flow of work. The stack stayed governed and extensible on Microsoft. "Of the users we polled, 82% agreed or strongly agreed that Copilot helped them complete a task faster and with higher quality.

Data flow

User prompts and domain content are orchestrated through Microsoft Copilot Studio, processed by Microsoft Copilot Studio, and then delivered through Microsoft Copilot Studio so Softchoice can return context-aware answers or automation in the flow of work.

Solution architecture

1 components · 1 layer
  1. Orchestration
    • Microsoft Copilot Studio Provides the managed environment to design, test, and operate custom copilots.

Architecture clues

  • "Building within the environment you already have makes it easier for people to operate and do their jobs knowing that they have the security, tools, and built-in knowledge to operate efficiently and effectively." Softchoice is excited to share its newfound insights with customers and business leaders who want to harness the power of generative AI-powered tools.
  • It's setting us apart from our competition." Building on investments to fuel success With the adoption of Copilot for Microsoft 365 well underway, Softchoice is exploring other Microsoft Copilot services, such as Microsoft Copilot for Security and Microsoft Copilot Studio .
  • Softchoice actively uses Microsoft 365 and understands the security, privacy, and user empowerment practices Microsoft prioritizes for its products.

Evidence from the source

"Of the users we polled, 82% agreed or strongly agreed that Copilot helped them complete a task faster and with higher quality.
As generative AI-powered tools have burst onto the scene, Softchoice wanted to jump-start its own AI journey to boost productivity and streamline employees' daily workflows, with the goal of empowering Softchoice employees to help customers with their own digital transformations.
It's setting us apart from our competition." Building on investments to fuel success With the adoption of Copilot for Microsoft 365 well underway, Softchoice is exploring other Microsoft Copilot services, such as Microsoft Copilot for Security and Microsoft Copilot Studio .
Transparency Evidence & methodology 65/100 reference value · 82% 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 value65/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    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 impact0/25
    0 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence82%
  • 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 evidence15/20
    3 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 specificity8/10
    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

    Softchoice customer story

    First-party
    https://www.microsoft.com/en/customers/story/1798509188103498351-softchoice-microsoft-copilot-for-microsoft-365-consumer-goods-en-united-states
    Source type
    Vendor-published customer story
    Published
    Aug 8, 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 Aug 8, 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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