USE CASES
Corporate Software Decision Flow (ViewpointAI + Clarity)
Our goal: Enable structured, data-driven, and collaborative corporate software decisions by combining human insight with AI-powered analysis.
1. Decision Criteria (Define Software Goals)
Purpose: Establish what the software decision is trying to achieve.
Human Input: Define key criteria such as:
Functional fit and feature requirements
Integration with existing systems and workflows
Security, compliance, and data privacy requirements
Total cost of ownership (TCO) and ROI
Vendor reliability, support, and scalability
User adoption and training considerations
Clarity’s Role: Suggests additional criteria based on historical software selection outcomes, industry benchmarks, and best practices.
Output: Weighted decision criteria and viewpoints forming the baseline for evaluation.
2. Data Capture (Build the Software Data Room)
Purpose: Collect all relevant data for analysis.
Human Input: Vendor proposals, product demos, user feedback, technical specifications, SLAs, and pricing models.
Clarity’s Role: Extracts and standardizes data, identifies gaps or inconsistencies, integrates market research, and highlights vendor performance metrics.
Output: Centralized, AI-enhanced software data room ready for evaluation.
3. Decision Making (Rank & Compare Options)
4. Decision Reporting (Transparency & Verification)
Purpose: Document and communicate the software decision process.
Human Input: Approve final software selection and provide context for stakeholders.
Clarity’s Role: Automatically generates a report showing criteria applied, weighted scores, trade-offs, risks, and supporting data.
Output: Transparent, auditable report suitable for leadership, IT committees, and compliance review.
Core Capabilities Throughout
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