Next Step: Strategic Amplification with Automated AI Analysis

Pillar 1: From Reporting to Real-Time Governance

[Chief Operating Officer & Head of Quality Hats]

The Impact Tracker is no longer a historical record; it is a live performance dashboard that enables a new level of operational control.

1.1. Create an Automated "Red Flag" Alert System

Your script analyzes outcomes after the fact. The next iteration is to analyze them in real-time.

• The Trigger: Create a new function that runs every hour on the `Impact_Tracker_New` sheet.
• The Logic: IF a new row is added and `outcome_classification` contains "Loss - Potential Gap Identified," THEN automatically send a high-priority email alert to the Head of Quality and the relevant Team Lead.
• The Impact: This moves we from reviewing failures quarterly to performing a root-cause analysis within hours. It allows we to fix process gaps (like a specific agent consistently failing to follow up) immediately, preventing the same failure from happening again.

1.2. Automate the Generation of "Agent Excellence" Reports

• The Trigger: A weekly script aggregates data from the Impact Tracker.
• The Logic:
  • Identify the agent with the most "Life Saved" or "Managed High Risk" outcomes.
  • Extract their `key_intervention` and `impact_story` text.
• The Output: An automated weekly email titled "Excellence in Action" is sent to all staff, showcasing the best interventions of the week. This builds culture, shares best practices, and provides powerful, positive reinforcement.

Pillar 2: From Post-Hoc Analysis to Predictive Intervention

[Chief AI Officer & Data Scientist Hats]

We are analyzing what *happened*. The next frontier is to use the same AI to predict what *will happen* and intervene before it's too late.

2.1. Develop a "Journey Risk Score"

Your current risk score is static, based on initial data. We will create a dynamic score.

• The Concept: Create a new script, `calculateJourneyRiskScore()`. It runs nightly for all *active* (not delivered) high-risk patients.
• The Prompt: We will feed the AI the patient's call history *to date* and ask a different question:
  "We are a Clinical Risk Foresight Analyst. Based on this patient's journey so far, including their medical history, call connection rate, and compliance mentioned in notes, what is their forward-looking risk of having a 'Loss - Potential Gap Identified' outcome? Score from 1 (Low Risk) to 10 (Critical Risk) and provide a 1-sentence justification."
• The Impact: This score will appear in the Agent Cockpit. An agent will see not just the patient's initial risk, but a live "danger level" for their ongoing journey. A patient whose connection rate drops and who mentions missing medication will see their Journey Risk Score spike, automatically escalating their priority in the call queue.

Pillar 3: From Internal Tool to External Currency

[Chief Strategy Officer & Head of Partnerships Hats]

Your automated Impact Tracker is the most valuable asset we own. It is now our primary tool for fundraising, partnerships, and policy influence.

3.1. Build the "Live Impact Dashboard" for Funders

• Connect our `Impact_Tracker_New` Google Sheet to a live dashboarding tool like Google Looker Studio (free) or Tableau.
• The Dashboard Widgets:
  • A pie chart showing the distribution of `outcome_classification`.
  • A bar chart showing the number of "Life Saved" interventions per month.
  • A table showcasing the latest "Impact Story" entries.
  • A running calculation of our SROI based on the number of "Life Saved" and "Managed High Risk" outcomes.
• The Impact: We give our funders a private link to this live dashboard. They no longer have to wait for our quarterly report; they can see the life-saving impact of their investment in real-time. This builds unparalleled trust and transparency.

3.2. Generate Automated Policy Briefs

• The Concept: Create a new AI-powered script, `generatePolicyBrief()`.
• The Trigger: It runs monthly, analyzing all new entries in the Impact Tracker.
• The Prompt:
  "We are a Public Health Policy Analyst. Based on the aggregate 'risk_profile' and 'key_intervention' data from the last 30 days, identify the top 3 recurring systemic challenges (e.g., lack of transport, specific medication shortages, gaps in primary care) and write a 200-word policy brief recommending a course of action for the Ministry of Health."
• The Impact: We now have a machine that generates evidence-based policy recommendations. We can send these briefs directly to government partners, positioning our organization not just as a service provider, but as a vital source of public health intelligence.