Example Solutions

Example Solutions Built on AI-DDSF

Each solution below was built to address a specific client need—from automating policy analysis to streamlining project reporting. Together, they demonstrate the framework's flexibility across diverse domains.

These are examples, not limits. The AI-DDSF framework can be configured to build solutions for virtually any workflow optimization, decision support, or document intelligence challenge your organization faces.

Example Solutions by Capability

Each solution demonstrates different framework capabilities based on specific client requirements

Example Solution	Workflow Optimization	Decision Support	Data V&V	Document Insights	Training
Presidential Actions Analyzer	✦	✦	—	✦	—
Meeting Minutes App	✦	✦	—	✦	—
MSR AI Workflow	✦	✦	✦	✦	—
Agentic Requirements Workflow	✦	✦	✦	✦	—
Agentic Coding Tools (Jira)	✦	✦	✦	✦	—
Interactive Project Reports	✦	✦	✦	✦	—

✦ = capability supported

Example 1

Presidential Actions Analyzer

Proactive Policy Intelligence for DoD Acquisition Excellence

Policy Intelligence | Decision Support | Document Insights

Automatically analyze Executive Orders and Presidential Directives for their impact on acquisition programs, enterprise architecture, and compliance requirements.

620+

Hours Saved Annually

80%

Faster Risk Detection

70%

Less Audit Prep Time

How It Works

INPUT

Automated policy extraction via Federal Register

PROCESS

AI-powered analysis built on AI-DDSF platform

OUTPUT

Policy analysis delivered directly to inbox with executive summaries, action items, program impacts, risks, and recommendations

The Challenge

200+ Executive Orders annually, each potentially impacting DoD operations. Manual review requires 10-15 hours per document to identify impacts.

The Solution

AI-powered review completes in minutes. Proactive risk management identifies compliance impacts before they become problems.

Key Features

Web-based interface for sign-up, sample analysis, and email delivery
Supports acquisition, enterprise architecture, IT policy, and compliance teams
DoD-focused analysis engine identifies impacts on acquisition policies

Example 2

Meeting Minutes App

Transform Transcripts into Actionable Documentation

Workflow Optimization | Decision Support | Document Insights

Web-based GUI for automating meeting minutes generation. Transform raw meeting transcripts into structured, actionable documentation.

How It Works

INPUT

Meeting transcript (any format)

PROCESS

AI-DDSF-powered analysis and extraction

OUTPUT

Meeting minutes with executive summaries, action items, insights (risks, integration points), and recommendations

Key Features

Multiple templates: Scrum/Standup, Working Session, Interview, Panel Discussion, Town Hall
Multi-model options (GPT-4o, GPT-4o mini, GPT-4.1, etc.)
Structured sections: Executive Summary, Questions & Answers, Decisions Made

Example 3

MSR AI Workflow

Transforming Monthly Status Reports with AI

Workflow Optimization | Data V&V | Document Insights

Automated end-to-end MSR generation from SharePoint exports. Validates entries, classifies into 16 standard categories, and generates polished narrative prose.

3-5 min

Processing Time

How It Works

INPUT

SharePoint CSV exports and Team Lead input documents

PROCESS

Validates accuracy, AI-powered classification into 16 MSR categories, generates narrative prose

OUTPUT

Complete, professional-grade Word document ready for leadership review

Key Features

Automated end-to-end MSR generation from SharePoint data
Structured categorization using Claude AI for 16 MSR reporting categories
Quality-checked, fully formatted Word doc output

Example 4

Agentic Requirements Workflow

From Idea Intake to Ready-to-Plan Backlog in Minutes

Workflow Optimization | Decision Support | Data V&V | Document Insights

A 5-agent pipeline that transforms raw intake submissions into validated requirements packages, Jira-ready work items, and leadership decision briefs—all with automated routing, approval workflows, and audit logging.

How It Works

INPUT

Web-based intake form (problem statement, value, urgency)

PROCESS

5 AI agents sequentially resolve ambiguities, estimate effort, draft requirements, structure work items, and create decision briefs

OUTPUT

Approved epics, features, and stories published directly to Jira backlog

4-Step Workflow

Agent 1: Resolves ambiguities & missing fields, maps free text into standard categories & tags

Agent 2: Proposes scope assumptions, creates level-of-effort estimates with time bands, flags risks & dependencies

Agent 3: Generates requirements package with use cases, user stories, stakeholder personas, integration points, and architecture outline

Agent 4: Translates requirements into Jira structure—epics, features, stories with acceptance criteria

Agent 5: Creates concise decision brief for leadership; if approved, publishes backlog to live Jira project

Key Features

Web-based intake portal for new ideas and requirements
Approval workflow with rule-based access control
AI normalization, validation, and summarization of intake data
Automated routing to appropriate agents and supervisors
Central database for audit logging, RAG analysis, and research
Dashboard showing RAG scoring and AI approval/denial status

Example 5

Agentic Coding Tools (Jira)

Bridge Meeting Discussions with System-of-Record

Workflow Optimization | Decision Support | Data V&V | Document Insights

Intelligent project management automation that bridges meeting discussions with system-of-record updates.

How It Works

INPUT

Raw transcript from daily scrum

PROCESS

Meeting Minutes App → Agent analyzes work vs backlog → Identifies discussed issues

OUTPUT

Clean, human-readable comments staged for review and posted to Jira

4-Step Workflow

Ingest the stand-up: Raw transcript → Meeting Minutes App → Structured actions, owners, dates

Agent analyzes work vs backlog: Reads minutes, connects to Jira, identifies which issues were discussed

Draft and deliver updates: Prepares clean comments for each issue, stages for review

Follow-on posting: Posts comments to Jira so system of record stays in sync

Eliminates the gap between what teams discuss and what gets documented in project management systems.

Example 6

Interactive Project Reports

Leadership-Ready Dashboards Without Logging Into Jira

Workflow Optimization | Decision Support | Data V&V | Document Insights

Agentic AI workflows pull live data from Jira, interpret schedule movement, dependency impacts, risk indicators, and task velocity—then produce clean, responsive HTML dashboards that leadership can navigate without project management tool access.

How It Works

INPUT

Live connection to Jira project data

PROCESS

Agentic workflows interpret schedule changes, calculate velocity, identify critical path items, and flag risks automatically

OUTPUT

Interactive HTML dashboard with executive summary, milestone tracking, and navigable Gantt view

The Problem

Manual exports create lag: Traditional project reporting depends on spreadsheet dumps and static Gantt charts that quickly go out of date and require constant manual cleanup.

The Solution

Agentic AI removes the manual effort: Workflows pull the latest data directly from Jira, interpret schedule movement, dependency impacts, risk indicators, and task velocity, and assemble them into structured, always-current reports.

Key Features

Executive summary with overall progress %, phase status, and days remaining
Critical tasks count with specific issue IDs and status
Weekly velocity indicator (HIGH/MEDIUM/LOW) based on completion rate
Active tasks today with phase breakdown
Critical path tracking with color-coded milestone status (Done, In Progress, Schedule Adjusted)
Live Gantt view navigable without logging into Jira

About the SBIR Phase I Proof-of-Concept

The PME ROI Analysis for OSD CAPE ($2B+ annual spending) is the specific use case chosen for our SBIR Phase I demonstration—it's one example that validates the framework's capabilities, not the primary product.

The PoC demonstrates that AI-DDSF can:

Process fragmented data from multiple sources
Extract insights from unstructured documents
Generate cited, verifiable responses with <5% hallucination rate
Support executive-level queries in natural language

The same framework powering PME ROI analysis powers all six products in our suite—demonstrating true platform flexibility.

What Will You Build with AI-DDSF?

These examples represent solutions built for specific client challenges. Your organization's needs are unique—the AI-DDSF framework adapts to solve your problems.

Whether it's automating compliance reviews, generating executive dashboards, or building entirely new decision support tools, the framework provides the foundation.