manognavanam

Ajaia Delivery Ops — AI skill for Claude Code

AI community

AI delivery operations system for a Patient Acquisition & Growth Agent engagement — built on the DOE framework (Directives → Orchestration → Execution).

How to install Ajaia Delivery Ops

This entry records only its repository, not the path inside it, so there is no exact command to give. Open manognavanam/ajaia-delivery-ops and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Ajaia Delivery Ops does

AI delivery operations system for a Patient Acquisition & Growth Agent engagement — built on the DOE framework (Directives → Orchestration → Execution). Includes workstream SOPs, a Streamlit launch-readiness dashboard with live Claude AI insights, and a weekly status report generator.thi

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README

Patient Acquisition & Growth Agent — Delivery Ops

**Ajaia AI Consultancy | Take-Home Assignment** **Delivery Lead:** Manogna Vanam

What This Is

A delivery operations system for the **Patient Acquisition & Growth Agent** engagement — a hospital client implementing an AI agent that engages inbound and dormant patient leads and books appointments directly into provider calendars.

Built using the **DOE framework (Directives → Orchestration → Execution)**:

directives/ — SOPs per workstream (living documents, updated as the engagement progresses)
execution/ — Deterministic Python scripts (the prototype and status generator)
docs/ — Human-readable submission deliverables

Quickstart

# 1. Clone / download the project
cd Ajaia

# 2. Create and activate virtual environment
python3 -m venv venv
source venv/bin/activate        # Mac/Linux
# venv\Scripts\activate         # Windows

# 3. Install dependencies
pip install -r requirements.txt

# 4. Set your API key (optional — mock fallback works without it)
cp .env.example .env
# Edit .env and add: ANTHROPIC_API_KEY=your-key-here

# 5. Launch the delivery dashboard
streamlit run execution/launch_readiness_tracker.py

# 6. Generate a weekly status update
python execution/generate_status_update.py

Dashboard opens at **http://localhost:8501**

Project Structure

Ajaia/
│
├── CLAUDE.md / AGENTS.md / GEMINI.md   # DOE framework instructions (AI-readable)
├── README.md                            # This file
├── requirements.txt                     # Python dependencies
├── .env.example                         # Secrets template (safe to share)
├── .env                                 # Real secrets (gitignored — never commit)
│
├── directives/                          # Layer 1: SOPs (what to do)
│   ├── ws1_discovery_requirements.md
│   ├── ws2_compliance_privacy.md
│   ├── ws3_integrations_scheduling.md
│   ├── ws4_conversation_design.md
│   ├── ws5_qa_pilot_readiness.md
│