Step-by-Step Process
DIL follows a systematic approach to analyze decisions and provide clarity. Each step builds upon the previous one to ensure comprehensive understanding.
Institution Makes Decision
A bank, hospital, fintech company, or other institution makes an automated decision that affects a user. This could be:
- A transaction being declined
- An account being restricted
- A service request being denied
- An appointment being delayed
- A loan application being rejected
The institution typically provides minimal or generic feedback to the user, leaving them confused about what happened and why.
DIL Analyzes the Outcome
DIL's intelligence layer kicks into action. We analyze the decision using multiple approaches:
- System Analysis: Understanding the institution's rules and constraints
- Pattern Recognition: Identifying common triggers for similar decisions
- Context Evaluation: Considering timing, location, and user history factors
- Compliance Check: Verifying regulatory requirements that may apply
Our analysis preserves privacy by focusing on decision patterns, not sensitive personal data.
DIL Explains the Reason
We transform complex system logic into clear, understandable explanations. DIL provides:
What Likely Happened
Clear description of the decision outcome in simple, non-technical language.
Why This Happens
Explanation of system protocols and automated rules that triggered this outcome.
What It Does NOT Mean
Clarification of common misconceptions about what the outcome signifies.
What Usually Resolves It
Standard procedures and timeframes that typically resolve similar situations.
What Helps
Productive actions users can take to move their situation forward effectively.
What Does NOT Help
Actions that could slow down or complicate resolution efforts.
Reassurance Note
Context about how this is a normal system process designed to protect all users.
User Understands and Takes Action
With clarity comes empowerment. The user receives DIL's explanation and can now:
- Understand exactly what caused the decision
- Know which factors were within their control
- Receive specific, actionable steps to resolve issues
- Make informed decisions about next steps
- Engage with institutions more effectively
Instead of confusion and frustration, users experience clarity and confidence in navigating complex systems.