From 50 hours of manual analysis to 5 minutes with AI
How ResonAi built an AI agent that automates cross-project failure analysis for a Canadian insurance company's Program Management Office.
93%
Time reduction
7
Projects analyzed
5
Repeat offenders found
100%
Extraction accuracy
The challenge
A critical report that took weeks to produce
The client's PMO produces a "Repeat Offenders" report — a lessons learned analysis that identifies recurring failures across all completed projects. This report drives corrective actions and accountability for systemic issues.
Before ResonAi
A senior PM manually reads every project closure report
Cross-references issues across all projects to find patterns
Categorizes findings by theme, audience, and severity
Writes the final report in a specific corporate format
Process takes 30–50+ hours per cycle
Report produced only once per year — too late to act
After ResonAi
AI agent reads all closure reports automatically
Extracts and categorizes every improvement issue
Cross-references patterns and links to historical data
Generates the report in the exact corporate format
Complete analysis in under 5 minutes
Enables quarterly or monthly reporting cycles
How it works
Three-stage AI pipeline
The agent uses a purpose-built prompt chain — each stage feeds the next, producing progressively refined output from raw documents to presentation-ready report.
1
Extract
Read each closure report, extract issues with categories
→
2
Analyze
Cross-reference patterns, flag repeat offenders
→
3
Generate
Produce the full report in corporate format
Results
What the AI found across 7 projects
The agent analyzed 7 project closure reports and identified 5 repeat offenders — including patterns that had persisted for over 5 years without resolution.
#
Repeat Offender
Severity
Status
Tracked Since
1
High Code Defects Across Projects
High
New
2024
2
UAT Resource & Environment Readiness
Medium
Continues
2024
3
Development Environment Sharing
Medium
Continues
2021
4
Circular Business Decisions
Medium
Continues
2021
5
External Stakeholder Communication Gaps
Medium
Continues
2020
Interactive demo
See the agent in action
This is a simulation of the actual AI agent built for the client. Click the buttons to see how it works.
R
ResonAi Agent
Online — PMO Repeat Offenders Analysis
R
Welcome! I'm the Repeat Offenders Agent. I analyze project closure reports to identify recurring issues across your portfolio.
What would you like to do?
Return on investment
The business case
Direct labor savings are significant, but the strategic value — catching repeat failures earlier — is where the real ROI lives.
Time savings per cycle
93%
From 30–50 hours to under 5 minutes of AI processing + 2–4 hours of PM review
Reporting frequency
4×
Quarterly instead of annual — patterns caught while there's still time to act
Cost avoidance potential
$50K–$200K+
Per prevented project repeat failure (rework, overruns, team productivity)
Payback period
1 cycle
Investment recovered within the first reporting period
Technology
Built on existing infrastructure
No new platforms. No external tools. The entire solution runs within the client's existing Microsoft 365 environment — Teams, SharePoint, and Copilot Studio.