AI Project Post Mortem Analysis

Stop Documenting Lessons. Start Learning from Experience.

A traditional post-mortem tells you what happened. PlanVector™ AI with a lifetime of experience tells you why it happened and gives you a data-driven plan to make sure it never happens again.

The Problem: The Post-Mortem That Gathers Dust

project post mortem

The project is over. The team gathers in a room for a painful post-mortem. The conversation is often subjective, defensive, and focused on blame. The result? A “Lessons Learned” document is created, saved to a server, and never looked at again. The organization learns nothing, and the same mistakes are repeated on the next project.

A “book-smart” AI can’t fix this. It can summarize the project’s history, but it lacks the wisdom to interpret it. It can’t connect the final failure to the subtle metric trends that were the warning signs months earlier. It just creates a prettier version of the same old, useless document.

The Solution: From a History Report to an Expert Debrief

An experienced leader doesn’t just recount history; they distill it into wisdom.

Our veteran AI has the experience of thousands of projects. When it performs a post-mortem, it’s not just reporting data; it’s conducting a strategic debrief. It has the wisdom to see the critical disconnect between a “good” metric like SPI and the disastrous erosion of milestone slack. It can trace the final cost overrun back to the specific, unmitigated supply chain risks that started the cascade of failure.

Most importantly, it provides strategic, actionable recommendations to fix the system, not just the symptoms.

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See a Project Post Mortem from an Experience Veteran AI

The Scenario: The “Good Progress,” Bad Outcome Project

The project analyzed below showed steady work progress (SPI of 1.01) throughout its lifecycle but ended in a near-total loss of profit due to unmanaged external supply chain issues.

We asked our veteran AI to conduct a full post-mortem. Notice how it moves beyond a simple summary to provide a deep analysis of the metric trends and delivers concrete, data-driven recommendations for organization-wide process improvement.

Thinking…

Project Post-mortem Analysis

1. Executive Summary

Project PBA-087 concluded with significant schedule slippage and cost overruns, severely impacting its financial performance. Despite a healthy initial margin and steady work progress (SPI of 1.01), persistent external dependencies, specifically material constraints and delayed orders, led to a critical erosion of milestone slack (final -17 days) and a 28-day total project delay. The cost of these setbacks, coupled with underlying budget management issues, resulted in a 10.56% cost variance ($235,950 over budget) and a drastically reduced expected margin of just 1.22% ($30,464 profit) on a $2.5 million project. The key data-driven lesson is the profound impact of unmitigated external supply chain risks on both schedule and budget integrity.

2. Final Performance Metrics: Planned vs. Actual

Metric Planned Value Actual Value Difference
Schedule Performance Index (SPI) 1.00 1.01 +0.01
Cost Performance Index (CPI) 1.00 0.90 -0.10
Final Cost (AC) $2,233,585 (BAC) $2,260,768 +$27,183 (EAC-BAC)
Revenue $2,500,000 $2,500,000 $0
Profit (Margin) $500,000 (20% Qtd.) $30,464 (1.22%) -$469,536
Cost Variance (VAR) $0 +$235,950 +$235,950
Cost Variance % (VARP) 0% +10.56% +10.56%
Milestone Slack (SLK) Positive buffer -17 days Critical Erosion
Total Project Delay (PDLY) 0 days 28 days Significant
Scheduled Finish Date 2025-08-31 (Estimated) 2025-09-28 28 days late
Scheduled Start Date 2025-01-01 2025-01-01 $0
Revisions Undefined $233,585 Substantial
Change Requests (Number) 0 0 N/A
Change Requests (Amount) $0 $0 N/A

Note: Final Cost includes BAC plus the remaining cost to complete (CTC) to reach EAC.

3. Analysis of Metric Trends

The project’s final state of schedule slippage and margin erosion is a direct result of critical metric trends that diverged over time. Initially, the project showed positive momentum, with a steady SPI around 1.01, indicating work was progressing at the planned rate. However, a significant disconnect emerged between schedule progress and milestone adherence. Milestone Slack began eroding in early July, turning negative and consistently decreasing, signifying that the schedule buffer was being consumed without key milestones being met. This was compounded by a concurrent increase in Total Project Delay, which climbed steadily from 22 days in early July to 28 days by September. This divergence implies that while activities were underway, they were not aligned with the critical path or key delivery milestones, likely due to external factors impeding the flow of work.

Cost performance, as reflected by the CPI, was a consistent concern, remaining below 1.0 (averaging 0.91-0.93) throughout most of the project. This chronic inefficiency led directly to the increasing Cost Variance and Cost Variance % as actual costs outpaced earned value. Consequently, the Expected Margin % plummeted from a healthy initial state (over 20%) to a precarious 1.22% by completion, turning a projected substantial profit into a nominal gain. The substantial $233,585 in revisions also contributed to the increased cost baseline (BAC), further shrinking the margin.

Crucially, the root causes of these schedule and cost issues are evident in the rising counts of Material Constraints, Delayed Purchase Orders, and Delayed Production Orders since early August. These external dependencies, combined with a high Milestone Risk Rating (66.61%) and overall Risk Exposure (49%), indicate a significant failure to proactively manage and mitigate supply chain-related risks. The project faced 7 Severe Issues and 16 Active Issues, many of which are likely linked to these material and procurement delays, directly contributing to the schedule erosion and cost overruns despite manageable resource utilization.

4. Data-Driven Lessons and Actionable Recommendations

Lesson 1: Uncontrolled External Dependencies Devastate Schedule and Margin. The consistent negative Milestone Slack and increasing Total Project Delay, directly linked to high counts of Material Constraints, Delayed Purchase Orders, and Delayed Production Orders, highlight a critical vulnerability to external supply chain disruptions. This also directly impacted Cost Performance and Margin.

  • Recommendation 1: Implement Proactive Supply Chain Risk Management.
    • Metric Link: MATC, DPO, DPRD, SLK, PDLY, CPI, MARP.
    • Action: For all future projects, mandate a comprehensive supply chain risk assessment during the planning phase. Establish formal communication channels with key suppliers, including regular performance reviews and mandatory issue escalation protocols. For critical components, develop and fund contingency plans such as identifying alternative suppliers, maintaining strategic buffer stock, or securing long-term supply agreements.

Lesson 2: Insufficient Cost Control and Margin Protection Mechanisms. Despite a 20% quoted margin, the project concluded with a 1.22% margin due to persistent Cost Variance and a declining CPI. This indicates a failure to effectively manage costs, react to overruns, and protect the financial integrity of the project.

  • Recommendation 2: Strengthen Dynamic Cost Forecasting and Control.
    • Metric Link: CPI, VARP, MARP, EAC, AC.
    • Action: Implement weekly cost performance reviews where AC vs BAC, CPI, and VARP are critically analyzed. Require project managers to generate updated EAC and MARP forecasts bi-weekly or whenever a significant variance occurs. Establish a formal “margin protection plan” template that outlines specific actions (e.g., value engineering, re-scoping, pausing non-critical work) to be triggered when MARP drops below a predefined threshold (e.g., 10%), ensuring proactive rather than reactive cost management.

What This Veteran Post Project Analysis Reveals

This isn’t just data analysis; this is distilled wisdom. Here is what an AI with thousands of projects worth of experience can see that others can’t.

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An Honest Executive Summary

The AI provides a concise, C-level summary of the project’s outcome, immediately identifying the financial failure and attributing it directly to the “profound impact of unmitigated external supply chain risks.”

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The Story Told by the Trends

A veteran can read the history between the numbers. The AI’s “Analysis of Metric Trends” tells the story of how the project failed over time, highlighting the critical “disconnect” between the misleading SPI and the reality of the eroding milestone slack and plummeting profit margin.

Data-Driven Lessons, Not Vague Observations

This is where wisdom replaces guesswork. The AI doesn’t just say “communication was bad.” It presents a specific, “Data-Driven Lesson” like “Uncontrolled External Dependencies Devastate Schedule and Margin” and links it directly to the specific metrics that prove it.

Actionable Recommendations for Real Change

A true expert tells you how to fix the system for the future. The AI provides strategic “Actionable Recommendations” like “Implement Proactive Supply Chain Risk Management,” complete with the specific actions and metric links needed to build a powerful business case for organization-wide change.

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Turn Every Project Into a Competitive Advantage

Advantage of AI post mortem

With an AI expert conducting your post-mortems, you can finally build a true learning organization.

  • End the Blame Game: Move from subjective, defensive meetings to objective, data-driven analysis.
  • Drive Real Process Improvement: Use the AI’s insights to fix the systemic, organization-wide issues that impact all your projects.
  • Build a Powerful Knowledge Base: Ensure the hard-won wisdom from every project is captured and used to de-risk the future.
  • Increase Future Profitability: Stop repeating costly mistakes and continuously refine your delivery model for maximum efficiency and success.

State of AI in Project Management

With the constant release of new AI tools what is the real situation with AI in project management? We are conducting this survey and create this report to answer that question.

Hear directly from project business leaders and project management professional to understand how AI is being adopted in project management, what are the most beneficial use cases, what are the results.

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