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Microsoft AI Discovery Cards Workshop | Bismart

Written by Núria Emilio | Nov 5, 2026, 8:30:00 AM

Artificial intelligence offers businesses countless opportunities to automate tasks, optimize operations, and improve decision-making. Yet one of the biggest challenges organizations face is not accessing AI technology, but identifying where AI can deliver real business value and which use cases are worth pursuing.

Before investing in AI solutions, businesses need to understand which processes require improvement, what outcomes they want to achieve, and whether they have the capabilities needed to move from an idea to implementation.

Microsoft developed the AI Discovery Cards methodology to help organizations address this challenge. By combining Design Thinking principles with cards representing different AI capabilities, the methodology provides a structured way to explore potential applications of artificial intelligence.

At Bismart, we apply this approach through our AI Discovery Cards – 3-Day Workshop, a fixed-scope AI consulting service available on Microsoft Marketplace.

Across three focused sessions, our consultants help organizations analyze a specific business process, identify potential AI use cases, and prioritize opportunities based on their expected business impact and feasibility.

What Are Microsoft AI Discovery Cards?

Microsoft AI Discovery Cards is an AI use case discovery methodology that combines Design Thinking techniques with cards representing artificial intelligence capabilities to help organizations identify, assess, and prioritize opportunities to apply AI to business processes.

The methodology helps business and technology teams work together to understand operational challenges and explore how specific AI capabilities could address them.

Each card describes an AI capability, providing examples of potential applications and helping participants understand what artificial intelligence can do in practical business scenarios.

The cards cover areas such as intelligent automation, document processing, content generation, predictive analytics, anomaly detection, and agentic AI.

Rather than starting with a specific technology or solution, participants begin by identifying business needs and exploring which AI capabilities could help address them.

This business-first approach is especially important for organizations seeking to integrate artificial intelligence into business processes in a way that delivers measurable value.

How Does the AI Discovery Cards Methodology Work?

The methodology starts by examining a specific business process or user journey.

Participants map the activities involved, identify key stakeholders, document operational challenges, and review the metrics used to measure performance.

The AI Discovery Cards are then used to explore which artificial intelligence capabilities could help improve individual activities or address identified pain points.

For example, when analyzing an order management process, participants might identify opportunities for automated information extraction, demand forecasting, or anomaly detection.

These ideas are translated into potential AI use cases and evaluated according to their business relevance, user needs, and technical feasibility.

The goal is not to generate as many AI ideas as possible. It is to identify meaningful opportunities that address real business problems and justify further evaluation or investment.

How Do AI Discovery Cards Use Design Thinking?

AI Discovery Cards builds on Design Thinking, a human-centered approach to problem-solving that focuses on understanding user needs, defining challenges, and exploring possible solutions.

Applied to AI use case discovery, Design Thinking brings together employees who understand business operations, decision-makers who define strategic priorities, and technology specialists who can assess implementation requirements.

Instead of asking what a particular AI tool can do, the workshop begins with questions such as:

  • Which activities consume the most time or resources?
  • Where do delays, errors, or repetitive tasks occur?
  • What information do employees need to make better decisions?
  • Which business outcomes should improve?
  • What AI capabilities could help achieve those improvements?

This approach helps organizations evaluate artificial intelligence based on actual operational needs rather than technology trends.

What Is Bismart's AI Discovery Cards Workshop?

Bismart’s AI Discovery Cards – 3-Day Workshop is a fixed-scope AI consulting engagement that helps organizations identify, assess, and prioritize artificial intelligence use cases within a specific business process.

Delivered over three weekly half-day sessions, the workshop combines business process analysis with AI opportunity discovery and prioritization.

The engagement helps organizations determine which AI initiatives have the greatest potential and which deserve further technical or business evaluation.

Unlike a broad enterprise AI transformation program, Bismart's workshop focuses on one selected business process, providing a clearly defined scope and actionable outcomes.

The service is available through Microsoft Marketplace.

Who Is the AI Discovery Cards Workshop Designed For?

Bismart's AI Discovery Cards Workshop is intended for organizations that want to start adopting artificial intelligence or expand existing AI initiatives but need a clearer understanding of where to focus their investments.

It is particularly relevant for:

  • Organizations starting their AI journey that need to identify practical use cases before selecting technologies.
  • Companies already experimenting with AI that want to move beyond isolated initiatives and establish clearer priorities.
  • Business departments seeking operational improvements through automation, predictive analytics, or intelligent decision support.
  • Digital transformation teams that need to align AI opportunities with business goals.
  • Organizations considering Microsoft AI technologies that want to assess potential applications before launching an implementation project.

The workshop is designed to involve business leaders, process owners, operations specialists, IT teams, Data & AI professionals, and digital transformation managers.

AI opportunities vary depending on the industry, the business process, and organizational objectives. From document automation to predictive analytics, real-world enterprise AI applications demonstrate how artificial intelligence can address operational challenges.

The challenge is determining which opportunities are relevant to a specific organization and should be prioritized.

What Is Included in Bismart's AI Discovery Cards Workshop?

Bismart's workshop provides a structured consulting engagement with a defined scope, duration, and set of expected outcomes.

Feature AI Discovery Cards – 3-Day Workshop
Provider Bismart
Methodology Microsoft AI Discovery Cards and business process analysis
Format Three half-day sessions
Duration Three weeks, with one session per week
Scope One selected business process
Focus AI use case discovery and prioritization
Evaluation criteria Business impact, technical feasibility, and data requirements
Expected outcomes Prioritized AI opportunities and recommended next steps
Availability Microsoft Marketplace

The engagement helps organizations make informed decisions about potential AI investments before committing to a larger development or implementation project.

Explore Bismart's AI Discovery Cards Workshop on Microsoft Marketplace

 

How Does the AI Discovery Cards Workshop Work?

Bismart's AI Discovery Cards Workshop follows a three-session approach that takes organizations from understanding a business process to identifying and prioritizing opportunities for artificial intelligence.

Each session addresses a different stage of the discovery process.

Session 1: Business Process Discovery

The first session focuses on understanding how the selected business process currently operates and identifying its main challenges.

Bismart's consultants work with participants to map key activities, stakeholders, information sources, and systems involved in the process.

The team also reviews available performance indicators and identifies operational pain points.

These may include repetitive manual tasks, delays, inefficient decision-making, difficulties accessing information, or activities that require excessive employee effort.

This assessment establishes a shared understanding of the current process and the business objectives that should guide potential improvements.

Session outcome: A clear view of the current process, its main challenges, and potential areas for improvement.

Session 2: AI Use Case Identification and Prioritization

Once the process has been mapped, the next step is to explore how artificial intelligence could address the identified challenges.

Using the Microsoft AI Discovery Cards methodology, participants examine relevant AI capabilities and identify possible applications within the selected workflow.

Depending on the organization's needs, these opportunities may involve intelligent automation, information extraction, predictive analytics, content generation, anomaly detection, or AI agents.

However, not every opportunity will deliver the same value or require the same level of investment.

Potential AI use cases are therefore evaluated according to criteria such as expected business impact, implementation complexity, data availability, and technical requirements.

This process helps distinguish high-priority opportunities from ideas that may require additional preparation or offer limited business value.

Session outcome: A prioritized set of potential AI use cases based on their expected value and feasibility.

Session 3: Findings, Recommendations, and Next Steps

The final session focuses on reviewing the findings and defining a direction for future AI initiatives.

Bismart presents the identified use cases, their relative priorities, and the recommendations resulting from the assessment.

The discussion also considers relevant Microsoft Azure AI capabilities, potential data requirements, technical dependencies, and areas that may need further validation.

These findings help business and technology leaders determine which initiatives deserve additional investigation and what steps should follow.

Depending on the selected use case, the next stage may involve a more detailed technical assessment, a proof of concept, or an AI implementation project.

Session outcome: Documented findings, prioritized opportunities, and practical recommendations for next steps.

What Are the Deliverables of an AI Discovery Cards Workshop?

At the end of Bismart's AI Discovery Cards Workshop, the organization receives a structured assessment of the selected business process and the AI opportunities identified throughout the engagement.

The main deliverables include:

1. Business Process Assessment

An overview of how the selected process currently operates, its main operational challenges, and potential areas for improvement.

2. Identified and Prioritized AI Use Cases

A set of artificial intelligence opportunities evaluated according to their expected business impact and feasibility.

3. Recommendations on Relevant AI Capabilities

An assessment of AI capabilities and technologies that could support the selected opportunities, including relevant Microsoft Azure AI services where applicable.

4. Findings and Recommended Next Steps

A summary of the workshop's conclusions and recommendations to guide further business and technical evaluation.

Together, these deliverables help organizations establish priorities and determine where additional investment or analysis may be justified.

It is important to distinguish AI discovery from AI implementation.

An AI Discovery Cards Workshop helps identify and prioritize potential AI initiatives. It does not, by itself, include developing an AI application, building a proof of concept, or deploying a production-ready solution.

Ready to identify high-value AI use cases in your organization?

 

How Are Enterprise AI Use Cases Evaluated and Prioritized?

One of the most important decisions in enterprise AI adoption is determining which initiatives should be pursued first.

An AI use case may be technically feasible but offer limited business value. Conversely, an opportunity may promise significant operational improvements while requiring data, infrastructure, or organizational capabilities that are not yet available.

Prioritization therefore involves more than determining whether an AI solution can be developed. It requires assessing whether the solution is likely to generate meaningful value and whether the organization is ready to implement it.

As illustrated by the Grupo Bimbo and Microsoft enterprise AI case, moving from AI experimentation to operational impact requires connecting technological capabilities with real business processes and reliable data.

The AI Discovery Cards methodology uses an evaluation approach built around three complementary dimensions: Business, Experience, and Technology, commonly referred to as the BXT framework.

Business Value and Strategic Alignment

The first dimension evaluates how an AI use case could contribute to business objectives.

Relevant factors may include increased productivity, reduced operating costs, improved quality, faster decision-making, and better process performance.

Strategic alignment is equally important. An initiative should address a meaningful business priority rather than introduce AI technology without a clearly defined purpose.

For example, automating document classification may offer substantial value when manual processing creates significant costs or delays in an important operational workflow.

User Needs and Adoption Potential

The second dimension examines how the proposed solution would affect the people involved in the process.

An AI initiative should solve a relevant problem for its intended users and deliver a clear improvement over existing ways of working.

This requires considering usability, expected adoption, changes to daily activities, human oversight requirements, and potential resistance to change.

Even an advanced AI solution may generate limited value if employees cannot integrate it effectively into their workflows.

Technical Feasibility and Data Readiness

The third dimension assesses whether the organization has the conditions necessary to develop and operate the proposed solution.

Key considerations include:

  • Data availability, accessibility, and quality.
  • Integration with existing applications and systems.
  • Infrastructure and architecture requirements.
  • Security, privacy, and governance controls.
  • Technical expertise and operational capabilities.
  • Implementation complexity and potential risks.

Regulatory obligations and responsible AI requirements must also be assessed when relevant to the proposed application.

Evaluating these three dimensions together allows organizations to compare opportunities more effectively and distinguish promising initiatives from those that require further preparation.

The purpose is to support prioritization, not replace detailed technical due diligence or guarantee a financial return before implementation.

Why Choose Bismart as Your AI Discovery Cards Workshop Provider?

Bismart is a Data & AI consulting company that offers a 3-Day AI Discovery Cards Workshop through Microsoft Marketplace. The engagement helps organizations identify and prioritize AI opportunities by analyzing a specific business process, evaluating potential use cases, and defining practical next steps.

Bismart combines business process analysis with expertise in data architecture, integration, analytics, and artificial intelligence.

This matters because the feasibility of an AI initiative depends on more than selecting an appropriate model or technology.

Successful implementation also requires reliable data, integration with existing systems, clear business objectives, and the ability to incorporate AI capabilities into day-to-day operations.

A Business-First Approach to AI Discovery

Bismart's workshop begins with the process the organization wants to improve rather than a predetermined technology.

This enables potential AI applications to be evaluated against operational objectives and expected business outcomes.

Expertise in Data, Analytics, and Artificial Intelligence

Bismart works across data integration, data architecture, business intelligence, advanced analytics, and AI.

This expertise allows the discovery process to consider both business requirements and the data and technology dependencies that may affect future implementation.

A Fixed-Scope Consulting Engagement

The workshop focuses on one business process and consists of three weekly half-day sessions.

This defined format enables organizations to explore potential AI applications and establish priorities without immediately committing to a larger implementation project.

Available Through Microsoft Marketplace

Bismart's AI Discovery Cards – 3-Day Workshop is listed on the Microsoft Marketplace, where prospective customers can review the service description, scope, and applicable commercial information.

The Marketplace listing is the main destination for organizations interested in requesting the workshop.

How to Request Bismart's AI Discovery Cards Workshop on Microsoft Marketplace

Organizations interested in running a Microsoft AI Discovery Cards Workshop with Bismart can access the service through its official Microsoft Marketplace listing.

The listing describes the engagement, its three sessions, expected deliverables, and available commercial information.

Before participating, organizations should identify a business process with potential opportunities for improvement and gather relevant information about its current performance.

It is also useful to involve process owners, employees familiar with day-to-day operations, decision-makers, and technology specialists.

Available process documentation, key performance indicators, and information about existing systems can help make the workshop more focused and productive.

Looking for an AI Discovery Cards Workshop provider?

Bismart offers a structured three-session engagement to help your organization identify, assess, and prioritize AI use cases.

Explore the AI Discovery Cards – 3-Day Workshop on Microsoft Marketplace:

 

Frequently Asked Questions About AI Discovery Cards Workshops

Who Provides Microsoft AI Discovery Cards Workshops?

Bismart is one of the consulting companies offering services based on the Microsoft AI Discovery Cards methodology. Its AI Discovery Cards – 3-Day Workshop is available through Microsoft Marketplace and helps organizations identify and prioritize AI opportunities within a specific business process. Other providers may offer workshops with different formats, scopes, and deliverables.

How Long Does Bismart's AI Discovery Cards Workshop Take?

Bismart's workshop consists of three half-day sessions delivered over three weeks. The sessions focus on business process discovery, AI use case identification and prioritization, and the presentation of findings and recommended next steps.

How Much Does an AI Discovery Cards Workshop Cost?

The cost of an AI Discovery Cards Workshop depends on the provider, scope, and delivery format. For Bismart's AI Discovery Cards – 3-Day Workshop, prospective customers should review the Microsoft Marketplace listing for applicable pricing and commercial conditions.

What Is the Difference Between an AI Discovery Workshop and an AI Proof of Concept?

An AI Discovery Cards Workshop identifies business challenges, explores potential AI applications, and prioritizes use cases. An AI proof of concept (PoC) involves building a limited implementation to test whether a particular solution is technically feasible. A discovery workshop can therefore help determine which opportunities should proceed to a proof of concept.

Do Participants Need Technical AI Expertise?

No. The AI Discovery Cards methodology is designed to support collaboration between business and technology professionals. Participants do not all need advanced AI knowledge. However, including process owners, decision-makers, and technical specialists can improve the quality of the assessment.

Can AI Discovery Cards Help Identify Agentic AI Use Cases?

Yes. The AI Discovery Cards include capabilities related to agentic AI, such as task coordination, autonomous actions, and workflow optimization. These can help organizations identify potential AI agent applications when they address relevant business needs. Any subsequent implementation would require further technical, security, and feasibility assessments.

What Should Organizations Prepare Before an AI Discovery Cards Workshop?

Organizations should select a business process or user journey, gather available process documentation, identify operational challenges, and review relevant performance metrics. Participants should include decision-makers and employees with direct knowledge of the process, alongside relevant technical stakeholders.

Can an AI Discovery Cards Workshop Help Reduce the Risk of AI Investment?

An AI Discovery Cards Workshop can help organizations make more informed investment decisions by evaluating potential use cases before committing to development. By considering business impact, user needs, and technical feasibility, the workshop can highlight promising opportunities and identify areas requiring further investigation. However, it does not eliminate implementation risk or guarantee a return on investment.

How Can I Book Bismart's AI Discovery Cards Workshop?

Bismart offers its AI Discovery Cards – 3-Day Workshop through Microsoft Marketplace. Interested organizations can visit the official listing to review the service, check applicable commercial conditions, and initiate the available request process.

Check out Bismart’s AI Discovery Cards Workshop on Microsoft Marketplace: