PMSENTRIC builds practical, no-nonsense software for project managers, planners, schedulers, and controls engineers. No bloat. No subscription traps. Just tools that work.
PMSENTRIC was founded by Dr. Hector Polo — a project controls engineer who grew tired of paying for overbuilt software to do simple things. Every PMSENTRIC product starts with a real problem from the field, not a product roadmap meeting.
We build single-purpose tools that do one thing exceptionally well. No platform lock-in. No mandatory cloud sync. No per-seat enterprise pricing. Just software that a working scheduler can actually use.
Our Products
The PMSENTRIC suite
Each product solves one specific problem in the project controls workflow.
A zero-install Oracle P6 XER schedule viewer. Open any Primavera export directly in your browser — WBS tree, Gantt chart, activity status, live search.
Oracle P6XER ParserGanttBrowser-only
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Coming Soon
In Development
PrimeVariance
Compare two P6 XER schedules side by side. Instantly spot added, removed, and shifted activities between any two schedule versions.
ComparisonBaselineOracle P6
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Coming Soon
Planned
PrimeReport
Generate clean, exportable PDF schedule narrative reports directly from your XER file. S-curves, WBS summaries, and milestone tables in one click.
ReportingPDF ExportS-Curve
Knowledge Base
Articles & Field Notes
Practical writing on project management, controls engineering, AI insights, and the science of project complexity.
Schedule PrimeReader: A Browser-Based Scheduling Tool
How AI-assisted development produced a deployable, zero-install Oracle P6 XER viewer in approximately ten hours — and what it means for the future of project controls tooling.
HP
Dr. Héctor J. Polo A.
6 min · March 9, 2026
Research · Project Complexity
Correlation Between Project Value and Number of Activities: A New Index
A statistical study of 30 construction schedules reveals a strong correlation of 0.89 between project value and activity count — and introduces the Pnat index.
HP
Dr. Héctor J. Polo A.
8 min · Sep 13, 2025
AI Insights · Society
The Age of AI: Humanity's Trinity-A and the Consumers
As AI reshapes society, four human roles emerge — Composers, Directors, Deciders, and Consumers. Who bears accountability in an AI-driven world?
HP
Dr. Héctor J. Polo A.
10 min · Aug 23, 2025
About PMSENTRIC
One practitioner. Real problems.
PMSENTRIC is a solo endeavour — built by one practitioner who uses these tools on real projects every day.
Dr. Héctor J. Polo A. brings years of hands-on experience in project controls across infrastructure and industrial projects. Every feature in every PMSENTRIC product comes from a real scheduling need — not a feature request tracker.
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Privacy First
Your project data never touches our servers. Everything runs in your browser.
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Practitioner-Built
Every feature comes from a real scheduling problem, not a roadmap meeting.
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No Installation
Our tools are single HTML files. Open in a browser and start working instantly.
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One Price, Forever
Pay once. No subscriptions, no annual renewals, no seat-based pricing.
Stay in the loop.
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Read any Oracle Primavera P6 XER schedule instantly in your browser. WBS tree, synchronized Gantt chart, activity status tracking — zero installation required.
Schedule PrimeReader: A Browser-Based Scheduling Tool
HP
Dr. Héctor J. Polo A.
Sr. Planning Manager · March 9, 2026 · In collaboration with Claude AI
1. Purpose and Target Audience
The Schedule PrimeReader tool addresses a well-documented gap in construction and project management workflows: the difficulty of accessing and interpreting Primavera P6 schedule data without requiring direct software access or advanced technical expertise. The tool is particularly valuable to the following groups:
Project planners who need to update or review schedules without manually exporting and importing specific P6 data across schedule files that may differ in structure or summarization level.
Contractors and subcontractors who require a streamlined, legible view of scheduling data without navigating the full complexity of P6.
Project managers, directors, and executive stakeholders who need rapid access to contractor-reported progress weekly.
Team members across organizational levels who require situational awareness of scheduling deliverables without requiring P6 licenses or training.
The tool presents a fully collapsible schedule interface, allowing users to isolate and examine specific areas of the contractor's schedule with precision. This directly supports the review of weekly reporting and fosters transparency between contractors, subcontractors, and project leadership.
2. Development Process and the Role of Artificial Intelligence
The Schedule PrimeReader was developed using Claude (Anthropic) as the primary AI development partner. This represents a significant milestone in AI-assisted software development for project controls applications. Prior attempts using alternative AI platforms did not yield actionable results in translating XER file structures; those tools were either unable to provide accurate process instructions or failed to support the iterative refinement required for this type of specialized task.
The development process required domain expertise from the human collaborator — specifically, knowledge of how XER files are structured and what scheduling data is most critical for communication purposes. Claude was provided targeted guidance on XER file translating logic, and together, the team iteratively refined the tool to surface the minimum required data elements that a project management professional would need in this first release.
Total development time was approximately ten hours of partial engagement. This efficiency is partly attributable to the nature of AI-assisted workflows, in which the model continues processing and generating outputs in the background following each user prompt. Development velocity was further influenced by the practitioner's proficiency in formulating precise, domain-informed prompts — a skill that meaningfully accelerates the quality and relevance of AI-generated results.
3. Technical Architecture and Deployment
A deliberate design priority was the elimination of installation dependencies. The Schedule PrimeReader is delivered as a single HTML file that runs entirely within a web browser. This architecture offers several practical advantages in enterprise environments:
No executable files: The tool does not require administrative privileges or software installation on corporate laptops.
Universal browser compatibility: The file can be opened in any modern web browser across operating systems without configuration.
Immediate usability: Open the file in a browser, load the target XER file, and the schedule data is immediately rendered for review.
This lightweight deployment model ensures broad organizational adoption without the friction typically associated with specialized project controls software.
4. Limitations and Considerations
The current version of the Schedule PrimeReader is optimized for review and communication purposes rather than rapid bulk updates. Users who require high-speed, high-volume data migration between schedule files may find that native import/export functionality remains more appropriate. The quality of AI-assisted development outcomes is also contingent upon the operator's ability to provide accurate, domain-specific guidance — reinforcing that such tools function best as collaborative instruments rather than fully autonomous solutions. Future development plans include the incorporation of updating and reporting functions.
5. Conclusion
The Schedule PrimeReader represents a practical demonstration of how AI-assisted development can produce meaningful, deployable tools for specialized industries in a compressed timeframe. By combining domain knowledge in project planning with the generative capabilities of Claude, this tool fills a tangible operational gap — making Primavera P6 schedule data accessible to a broader organizational audience without the barriers of software licensing, installation, or technical training.
The application is currently being used by our project team and will soon be available to the public. Stay tuned.
Try Schedule PrimeReader
Zero install. Open your XER file directly in the browser.
Research · Project Complexity
Correlation Between Project Value and Number of Activities: A New Project Management Index
HP
Dr. Héctor J. Polo A.
Sr. Planning Manager · September 13, 2025
1. Introduction
While searching for correlations between project complexity — measured by a schedule model (nodes and relationships) — and project performance measured by its earned value element, an interesting correlation was discovered and communicated in a doctoral thesis presentation. At that time, only 21 fully developed contractor schedules were available. The investigation was set aside until at least 9 more could be gathered.
This analysis is based on a core principle: the schedule is the best way to model a project. As stated in prior research:
"The usefulness of modeling a project schedule is appreciated, covering the following elements: the project structure is established (ontological aspect); the final objective is defined (teleological aspect); efforts are modeled through activities (functional aspect); its evolution over time is modeled (genetic aspect); its elements are interrelated to ensure sequence, unity, and identity; and if well-executed, it contains the primary and most significant amount of information necessary to manage a project." [1]
2. Correlation Analysis
Table 1 — Project Number of Activities and Value
The analysis covers 30 project schedules — sufficient for a minimum statistical sample [2]. Projects in the dataset are construction contractor schedules from infrastructure, mixed residential, and renovation jobs.
After a Pearson correlation analysis, the result returned a strong positive correlation of 0.89348, indicating that the larger the value of the project, the greater the number of activities in the schedule. This intuitive observation is now expressed in statistical terms, enabling practitioners to predict and validate the expected number of activities for a given project value under current scheduling requirements.
Figure 1 — Project Value vs No. of Activities
3. Activity Requirements Influencing Quantity of Activities
The requirements that directly impact the number of activities in a schedule have evolved over the years. Common contractual standards include:
The schedule shall include a milestone summary at the top, with employer requirements, key approval items, design reviews, and mock-up inspections.
Identification of critical deliverables and submission activities.
Display of all critical and major milestones specified in the contract, including start and completion dates, critical interfaces, and coordination milestones.
All necessary design review activities with their respective durations.
All required permits and approvals needed to complete the work.
Activity durations exceeding twenty-one (21) working days should be minimized, except for LOE and long-lead material items.
Activity boundaries must be clearly measurable, with concise and straightforward descriptions.
4. Clear Differences Between Project Sizes — Value per Activity
The average cost per activity in the top 15 schedules (under $1M projects) is approximately $1.5K, compared to $57K per activity in the larger projects. This discrepancy reflects differences in contractual requirements and adherence to international scheduling standards. Smaller projects tend to have more activities per week; larger projects adhere to 21-day activity durations, enabling fewer planning resources to update weekly schedules.
5. Pnat (Polo Number of Activities Threshold) for Megaprojects
When isolating megaprojects, 84% (Pareto rule) fall within the range of $10K–$60K value per activity, with an average of $36K per activity. This defines the Pnat (Polo Number of Activities Threshold):
Pnat = $10K USD > Av < $60K USD
Where Av = Project Value / No. of Activities
Optimum index: Pnat-Imp = Av / $35K USD (for megaprojects)
The closer the result is to 1.0 (midpoint of $35K), the better optimized the schedule is in terms of activity granularity.
Figure 2 — Value per Activity Grouping for Mega Projects
6. Pnat for Non-Mega Projects
For projects valued under $1M, 80% fall within $0–$2K value per activity, with an average of $1.2K per activity.
Pnat = $0K USD > Av < $2K USD
Optimum index: Pnat-Inmp = Av / $1K USD (for non-megaprojects)
Figure 3 — Value per Activity Grouping for Non-mega Projects
7. Increased Correlation When Adjusting for Outliers
Two significant outliers within the megaproject group (projects #25 and #29) did not increase activity counts proportionally with project value. Removing these outliers increases the Pearson correlation to 0.970648 across all projects, and 0.962367 when measured only among megaprojects — confirming the robustness of the relationship.
Figure 4 — Project Value vs No. of Activities (adjusted for outliers)
8. Conclusions
These results clearly indicate that the project schedule effectively serves as a management tool calibrated to project value. The strong statistical correlation enables practitioners to accept or reject proposed schedules based on usefulness — not just compliance.
A natural outcome of this research is the Pnat index — a threshold based on value per activity, depending on project size. Such thresholds serve clients and contractors alike in producing proper management tools, starting with the project schedule.
9. Bibliography
[1] Polo Ábrego, H. J., & Palma, Y. M. (2021). Revisión literaria e histórica de medidas de complejidad de proyectos y desempeño de proyectos. Investigación y Pensamiento Crítico, 9(1), 112–135.
[2] Hernández Sampieri, R., Fernandez Collado, C., del Pilar Baptista, M. Metodología de Investigación, McGraw Hill, México D.F., 2014, 6th Ed.
AI Insights · Society
The Age of AI: Humanity's Trinity-A and the Consumers
HP
Dr. Héctor J. Polo A.
Sr. Planning Manager · August 23, 2025 · Written with the assistance of Grok
As artificial intelligence (AI) weaves itself deeper into the fabric of society, humanity stands at a crossroads. The rapid evolution of AI is not just reshaping industries but redefining the roles humans play in a world where machines are increasingly autonomous. In this emerging landscape, four primary groups have emerged: the Composers, the Directors, the Deciders, and the Consumers. The first three — collectively known as the Trinity-A — are the Accountables. The Consumers play a distinct but vital role, sustaining humanity's continuity while relying on the Trinity-A to shape the future.
The Composers: Crafting the Future
The Composers are the visionaries — the spark of human creativity that AI cannot replicate. They are divided into two complementary subgroups:
Artistic Creatives: Poets, painters, musicians, and storytellers who harness AI to amplify their imagination. They ensure AI serves as a canvas, not a replacement, for human expression.
Technical/Engineering Creatives: Engineers, programmers, and innovators who design the algorithms and systems powering the future — crafting tools that are both functional and ethical.
Composers do not just use AI; they shape it, infusing it with human ingenuity. Yet their role comes with accountability: if their creations lead to unintended consequences — biased algorithms or unforeseen societal impacts — they are among the first to answer for it.
The Directors: Orchestrating Efficiency
The Directors are the overseers — managers who ensure AI systems deliver on their promises. From factory floors to corporate boardrooms, Directors wield AI to streamline operations, optimize supply chains, and enhance decision-making. They are the bridge between raw technology and real-world results.
Their role demands vigilance and adaptability. If an AI system fails — a drone crashes or a financial algorithm destabilizes a market — Directors are accountable for not catching the error in time. This necessitates a solid grasp of AI's technical intricacies, allowing them to identify potential failures and intervene proactively.
The Deciders: Shaping Policy Through AI
The Deciders are the strategists — policymakers who leverage AI to make informed decisions that shape society. They use AI assessments to tackle complex issues, from urban planning to global health crises, interpreting AI insights and weighing ethical considerations against impacts on millions of people.
Deciders operate at the intersection of data and morality. A flawed AI assessment could lead to policies that exacerbate inequality or erode public trust. As such, Deciders must be both technically literate and ethically grounded.
Guardians — a critical subset of the Deciders — focus on safeguarding humanity's ethical and cultural values. Comprising ethicists, auditors, activists, and independent researchers, they critically evaluate AI systems for biases, ethical violations, and risks to human autonomy.
The Consumers: Sustaining Continuity
The Consumers form the largest group, maintained by the AI-driven systems that provide for their needs. Unlike the Trinity-A, Consumers do not actively shape the technological trajectory of the future. Their primary contribution lies in sustaining humanity's continuity — raising children in the hope that some may rise to join the ranks of Composers, Directors, or Deciders.
Consumers are not passive by choice but by circumstance; the system's efficiency reduces the need for their direct participation in shaping progress. Resisters — a subset of Consumers — actively choose to minimize or reject AI's influence, prioritizing human-driven processes or traditional practices. While they do not shape AI's trajectory, their commitment challenges the assumption of AI's inevitability and may inspire the Trinity-A to design more inclusive systems.
The Trinity-A: Bearing the Weight of AI's Promise
The Composers, Directors, and Deciders form the Trinity-A — the vanguard of humanity in an AI-driven world. When AI fails, the Trinity-A are the ones who answer for it. This accountability is not just a burden but a call to action: Composers must innovate responsibly, Directors must manage diligently, and Deciders must govern wisely.
The justification for this accountability is rooted in a fundamental truth: AI is created by humans. Every algorithm, every model, every system originates from human ingenuity. As such, humans must remain accountable for the outcomes, lest we abdicate our agency to machines we ourselves have built.
The Path Forward: A New Social Contract
As AI continues to evolve, the lines between these groups may blur, but the roles of the Trinity-A and Consumers will remain critical. Society must foster a symbiotic relationship between these groups — ensuring the Trinity-A lead with foresight while empowering Consumers to engage meaningfully where possible.
The rise of AI is not just a technological revolution but a societal one. The question is not whether AI will transform the world — it already is. The question is whether the Trinity-A can rise to the challenge of leading it wisely, and whether society can ensure that Consumers, including those who resist, are not left behind.
References: Pontifical Council for Justice and Peace. (2004). Compendium of the social doctrine of the Church. Libreria Editrice Vaticana.
