Solution XPLR
Last updated
Last updated
Solution XPLR is dedicated to the detailed design of specific AI solutions. It provides a structured workflow that guides users through the complete solution development process, from initial requirements gathering to comprehensive implementation planning. At its core, solution XPLR enables organizations to transform high-level AI opportunities identified in the Taxonomy XPLR/ AI solutions library into solution blueprints.
Solution XPLR supports the solution development lifecycle through three key phases:
Research: Identifying and validating business needs and potential approaches
Evaluate: Assessing feasibility, benefits, and alignment with organizational goals
Optimize: Refining the solution design for maximum impact and implementation readiness
This bridges the critical gap between AI opportunity identification and designing an actual solution, ensuring that valuable insights from the assessment phase translate into executable implementation plans.
You can add a solution to Solution XPLR using two different methods:
Navigate to the AI solution library
From the Simulation XPLR page, click on 'AI solution library.'
You will be directed to the AI solutions page, showcasing a collection of enterprise-ready GenAI solution ideas across multiple industries and functional areas.
Browse and select a solution
Click the dropdown near the total number of solutions to expand the filter
Use filters to categorize available solutions by industry, function, impact type, benefit area, or search manually with keywords.
Select the solution that best aligns with your use case by clicking on it.
Review solution details
On the solution entry page, you can review comprehensive information about the solution:
Overview: A high-level description of the solution and its purpose
Data requirements: Necessary data inputs for successful implementation
Data sources: Specific sources where required data can be found
Implementation considerations: Factors to consider during deployment
Benefits: Expected business outcomes and value drivers
AI agents: Both essential and optional AI agents needed
Add to favorites (Optional)
Click the ⭐ star icon to add the solution to your favorite solutions for easy access later.
Add to solution XPLR
Click the '+ Add to Solution XPLR' button.
A confirmation pop-up will appear.
Click '+ Add' to confirm your selection.
Edit and finalize the solution entry
You will be redirected to the Solution XPLR page.
The following fields will be auto-populated based on the selected solution:
Solution name: Title of the AI solution
Detailed description: Explanation of the solution
Expected benefits: Anticipated business outcomes
Taxonomy: Organizational classification
Select the appropriate industry from the dropdown menu.
Review and edit these fields if needed to better align with your specific requirements.
Configure optional settings:
Search existing solutions: Toggle on to search for similar implementations.
Use best practice process: Toggle on to leverage recommended implementation approaches.
Attach any relevant files by clicking ‘Attach file.’
Click 'Create my solution' to proceed to solution design.
Select a functional area
In Taxonomy XPLR, navigate to the organizational structure section.
Choose the appropriate functional area:
Front office: Customer-facing functions (Marketing, Sales, Services)
Mid office: Operational functions (Supply chain)
Back office: Administrative functions (Finance, HR, IT, Procurement)
Choose a function and process
Select the specific function within your chosen area.
Navigate to the process related to your business use case.
Explore AI solutions
Click on the AI solutions section to view available solutions for the selected process.
Select and review a solution
Choose the AI solution that best matches your needs.
Review the detailed information about the solution:
Impact: Indicates whether the solution provides a breakthrough, transformative, or incremental impact based on the level of transformation it achieves.
Overview: Solution description and purpose
Data requirements: Necessary data inputs
Data sources: Origin of required data
Implementation considerations: Deployment factors
Top benefits: Expected outcomes
AI agents& tools: Required AI agents
Add to favorites (Optional)
Click the ⭐ icon to add the solution to your favorites.
Add to Solution XPLR
Click ‘+ Add to Solution XPLR.’
Confirm your selection by clicking '+ Add' in the popup.
Edit and finalize the solution entry
You will be taken to the Solution XPLR page with pre-filled fields.
Review and customize the solution details as needed.
Select the appropriate industry.
Configure the toggle options and add any attachments.
Click 'Create my solution' to initiate the solution design process.
For organizations requiring a fully tailored AI solution beyond pre-built templates, you can manually input all necessary information to ensure alignment with specific business needs.
Enter solution details
On the Solution XPLR page, provide comprehensive information for your custom solution:
Solution name: Choose a clear, descriptive name that reflects the purpose and scope of your AI solution.
Detailed description: Include a thorough explanation covering:
The business process or challenge being addressed
Existing pain points and inefficiencies
The business objectives you aim to achieve
Stakeholders and teams involved
Required data sources and inputs
Desired outcomes and key success metrics
Expected benefits: Clearly outline measurable benefits such as:
Increased operational efficiency (time or cost savings)
Improved output quality or accuracy
Enhanced customer experience
Revenue growth or margin optimization
Risk reduction or compliance improvements
Taxonomy: Select the relevant internal classification, if applicable.
Industry: Choose the most appropriate industry from the dropdown list.
Configure solution options
Customize additional settings to enhance solution effectiveness:
Search existing solutions: Enable this toggle to discover similar implementations for inspiration or benchmarking.
Use best practice process: Turn this on to incorporate proven, industry-standard methodologies into your solution design.
Add supporting documentation
Use the ‘Attach file’ option to upload any relevant documents, such as business cases, architecture diagrams, or stakeholder inputs.
Finalize and create your solution
Carefully review all input details for completeness and accuracy.
Click ‘Create my solution’ to initiate the custom solution design process.
The platform will then guide you through the remaining steps to refine and build your AI solution.
After submitting the base solution information, the system begins the solution design process automatically. This process consists of three main phases:
Research
Evaluate
Optimize
During this process, the system will:
Design the comprehensive solution
Create visual diagrams of workflows and processes
Fetch AI data to populate the components
After processing is complete, you will have access to a fully designed solution with five key components:
Data sources
Process flow
Agentic workflow
Benefits & impact
Summary overview
The Data sources screen provides detailed information about all data sources required for your AI solution.
View data source details
For each data source, you can view:
Data source: Identifier for the data source
Technology: Platform or technology that hosts the data
Essential/optional: Whether the data source is required or supplementary
Access: Internal (within your organization) or External (from outside sources)
Quality: High, Medium, or Low data quality rating
Type: Data format (API/SQL/File) and structure (Structured/Semi-structured/Unstructured)
Data assessment: Current assessment state (Review/Ready)
Modify data sources
Add a data source: Click the '+' button at the bottom of the screen
Delete a data source: Click the three dots (⋮) next to the data source and select 'Delete'
Complete data assessment
Click on the 'Review' status in the data assessment column.
A data assessment questionnaire will open.
Answer all questions regarding the data source's availability, quality, and accessibility.
Click 'Save' when complete.
The status will change from 'Review' to 'Ready' if there are minimal barriers to implementation.
Proceed to the next step
Click the 'Next' button at the bottom right of the screen to continue to Process flow.
The Process flow section allows you to visualize and customize the business process that your AI solution will enhance.
Curate the workflow
Update steps to reflect your organization's specific process.
Identify opportunities for AI enhancement at each step of the workflow.
Customize the diagram
Click on the diagram to enter edit mode.
Add, modify, or remove elements to accurately represent your process.
Connect elements to show the process flow.
Click 'Save' when you are finished.
AI hubble panel
When you click on a step within a process flow (represented by a blue-colored box), the Hackett AI hubble panel opens. It identifies and recommends the most effective AI agents tailored to that specific step. Within this panel, you can navigate to the AI hubble tab, which allows you to view:
Name: Identifier for the AI opportunity
Description: Detailed explanation of the opportunity
AI enablers: Technologies that can support the opportunity:
Conversational AI: Facilitates human-like interactions through natural language processing, enabling chatbots and virtual assistants to understand and respond to user queries effectively.
Cognitive AI: Emulates human cognitive functions such as learning, reasoning, and problem-solving, allowing systems to perform tasks that typically require human intelligence.
Workflow AI: Streamlines and automates business processes, enhancing operational efficiency by reducing manual intervention and optimizing task management.
Prediction AI: Utilizes historical data and machine learning algorithms to predict future events or trends, aiding businesses in making informed decisions.
Content AI: Assists in the creation, management, and curation of digital content, including text, images, and videos, thereby boosting productivity and creativity.
Insight AI: Analyzes large datasets to extract meaningful insights and patterns, providing valuable information that supports strategic planning and decision-making.
Manage AI opportunities
Click on the Opportunities tab to explore AI agents related to the selected step.
Review both essential and optional agents displayed for the current step.
Essential agents are required for the process to function properly. Optional agents can enhance functionality, but are not mandatory.
Each AI agent provides the following information:
Agent name: The name of the AI agent
Description: A detailed explanation of the agent’s functionality
Data sources: Indicates the data the agent utilizes
AI enabler type: Technologies supporting business automation opportunities (e.g., Workflow AI or Content AI)
Priority tag: Marked as Essential or Optional
Plug icon: Indicates the option to generate embedded AI
Select, edit, or delete agents according to your requirements.
Create a new AI opportunity by clicking the '+' button.
Enter the required information:
Opportunity name
Context information
Knowledge data requirements
Generate AI opportunities
Click the ✨ (Glitter icon) to generate AI opportunities using LLM. A confirmation dialog will appear with the message "Generate more AI opportunities?" Click ‘Yes’ to proceed with the generation process.
After the generation completes, review suggestions and select those that align with your objectives.
Configure enterprise context
Click the 🏢 (Building icon) to open the enterprise context panel.
Input your industry and industry description in the company tab.
In the Technology/Data landscape tab, define your organization's technological ecosystem:
Select relevant platform categories applicable to your business (e.g., GenAI Development, ERP, CRM, HCM, SCM etc.)
Specify the technology vendors implemented for each selected category
Identify associated data resources by selecting:
Data sources (indicated by the database icon)
Embedded AI capabilities (marked by the AI chip icon)
Provide descriptive information about data assets where additional context is beneficial
Click ‘Save’ once done.
Import/export data
Click the ≡ (Three lines icon) to access import/export options.
Import options:
TXT format
ZIP archive
XML format
Export options:
XML format
ZIP files
PNG image
SVG vector graphic
Proceed to the next step
Click 'Next' to continue to the agentic workflow stage.
The agentic workflow page visualizes how AI agents will interact within your business process to create an end-to-end automated solution.
Workflow visualization
BPMN-style diagram: Business Process Model and Notation diagram showing the complete workflow.
Swim lanes: Horizontal sections representing different roles or departments.
Agent nodes: Icons representing AI agents handling specific tasks.
Decision points: Diamond shapes showing conditional paths based on process conditions.
Agent components
Each agent in the workflow:
Is represented by a distinct icon
Was selected through AI hubble's intelligent recommendation
Is based on process requirements defined in the previous process flow step
Handles specific tasks within the overall process
Agent overview panel
The right panel displays each agent’s name, designation(required/supplementary), a detailed description, and key benefits.
Workflow interactions
The diagram shows:
Sequential connections between agents
Parallel processes where applicable
Decision points determining different path options
End points for process completion
Proceed to the next step
Click 'Next' to continue to the business & impact assessment step.
The benefits & impact section allows you to evaluate the feasibility, benefits, and costs of your AI solution.
Solution overview
This page displays:
Solution name
Feasibility status
Benefits summary
Preliminary cost estimate
Feasibility assessment
Click the 📗 (Book icon) under feasibility to perform the assessment.
A panel will open with questionnaire pages for:
Security/governance: Data security, compliance, and governance considerations
Infrastructure: Technical infrastructure requirements and readiness
AI talent: Skills and resources needed for implementation
For each question, select the appropriate score:
N/A: Not applicable
Low: Minimal readiness
Medium: Partial readiness
High: Full readiness
Add comments for context if needed.
Complete all questionnaire pages by clicking 'Next' to proceed between pages.
Click 'Save' when all sections are complete.
Based on your responses, the system will generate a readiness score and feasibility status:
Ready: Indicates minimal barriers to implementation
Remediate: Suggests addressing identified gaps before proceeding
Benefits analysis
Click the💲to open the benefit analysis panel.
The interface allows you to quantify expected business value across multiple dimensions:
Revenue growth:
Revenue
Price
Volume
Customer experience:
Customer satisfaction
Customer churn
Customer LTV
Customer count
Process productivity:
Processing speed (hours)
Process volume
Process accuracy
Employee productivity:
Units per FTE
Capacity/creation time (hours)
Cost savings:
FTEs
Cost reduction
Cost per unit
Working capital:
Days Sales Outstanding (DSO)
Days Payable Outstanding (DPO)
Days Inventory Outstanding (DIO)
For each metric, enter:
Current baseline: Present performance values
Target: Expected future performance after implementation
Comments: Context, assumptions and justification for projections
Click '+ Add benefits' to include additional metrics if needed.
The system will calculate total benefits based on your entries.
Preliminary cost estimation
Click the ✨ (Glitter icon) under preliminary cost.
The system will generate an implementation cost estimate using LLM.
Review the estimated cost.
Proceed to the final step
Upon calculation of the preliminary cost, the system automatically generates and displays the projected ROI percentage, quantified benefits value, and impact levels across five key business dimensions.
Click 'Next' to continue to the summary overview.
This section provides a comprehensive view of your AI solution and its expected impact.
Solution summary
The page displays:
Overview: Summary of all agents in the solution
Impact: Expected business impact areas
Data readiness: Status of data source preparation
Feasibility: Overall implementation readiness
Infrastructure score
AI talent score
Security/Governance score
Total benefits: Calculated financial benefits
ROI: Return on investment percentage
Preliminary cost: Estimated implementation cost
Next steps
Click '+ Send to Portfolio' to add this solution to Portfolio XPLR for prioritization against other AI initiatives.
This enables your organization to compare and rank multiple AI solutions based on business value, feasibility, and strategic alignment.
By following this guide, you can effectively use Solution XPLR to design comprehensive AI solutions tailored to your organization's specific needs. The structured approach ensures that all aspects of the solution, from data requirements to impact, are thoroughly considered and documented before implementation begins.
