Project Name
NPAS GenBI: Generative BI Platform for Self-Service Project Portfolio Analytics at a Global Telecom Enterprise
For a global telecom enterprise managing hundreds of concurrent projects, getting a real-time answer to a straightforward portfolio question had become a two-day process. PMO leaders responsible for delivery oversight, risk management, and stakeholder reporting depended entirely on manually produced reports that were days out of date by the time they arrived. Any question that fell outside a standard template required a formal SQL request and an analyst turnaround of 24 to 48 hours.
The consequence was a PMO operating on delayed information. Decisions were made without current data, risk signals surfaced late, and analysts spent the majority of their capacity producing routine status updates rather than contributing to strategic analysis.
Partnering with Ksolves, an AI-First Company, the organisation implemented NPAS GenBI, a Generative BI platform that allows PMO leaders to ask natural language questions and receive live portfolio intelligence instantly. Built on a natural language to SQL engine, real-time project data connectors, and automated portfolio aggregation logic, the platform transformed how the PMO accessed, interpreted, and acted on project data.
- PMO Leaders Without Real-Time Project Visibility: Portfolio oversight relied on periodic reports produced manually by analysts. By the time reports reached PMO leadership, the data reflected conditions from days earlier, making it difficult to identify emerging risks or make accurate delivery decisions.
- SQL Request Backlog Delaying Decisions: Any question outside the standard reporting template required a formal request to the analytics team, with a typical turnaround of 24 to 48 hours. This created a consistent gap between the moment a question arose and the moment it could be answered.
- Inconsistent Reporting Across Teams: Different project teams used different reporting templates, producing metrics that were difficult to compare and aggregate at the portfolio level. Leadership lacked a single, reliable view of overall portfolio health.
- No Portfolio-Level Risk Visibility: Risk data existed at the individual project level but was never automatically surfaced to leadership. Escalations depended on manual identification and reporting, meaning some risk signals were identified only after they had become delivery issues.
- Analyst Capacity Consumed by Routine Queries: The majority of the analytics team's capacity was directed toward producing standard status reports and fulfilling ad hoc requests that could have been self-served. Strategic and predictive analytical work was consistently deferred.
Ksolves, an AI-First Company, designed and delivered NPAS GenBI, a Generative BI platform built around natural language query capabilities, real-time project data integration, and automated portfolio intelligence to give PMO leaders direct, self-serve access to live delivery data.
- Natural Language Project Query Interface: Deployed a Generative BI engine that allows PMO leaders to ask plain English questions and receive live data results without SQL knowledge, eliminating the dependency on analyst intermediaries for routine portfolio queries.
- Real-Time Project Data Integration: Built direct connectors to project management platforms and milestone tracking systems, ensuring the platform reflects current project status at the time of each query rather than relying on scheduled data exports.
- Portfolio-Level Aggregation Views: Implemented automated roll-up logic that generates portfolio-wide health summaries from individual project data, giving leadership a consolidated, accurate view across the full delivery portfolio without manual compilation.
- Risk and Escalation Surface: Configured automated detection logic that identifies projects approaching SLA thresholds or milestone overruns and surfaces these signals proactively to relevant stakeholders, reducing the time between risk emergence and leadership awareness.
- Scheduled Intelligence Reports: Established automated weekly and monthly summaries distributed directly to stakeholders, replacing manually produced reports with consistent, timely outputs generated without analyst effort.
Technology Stack
| Layer | Technology |
|---|---|
| AI / ML | NL2SQL / Generative BI Engine |
| Integration | Project Data Integration Layer |
| Analytics | Portfolio Aggregation Engine |
| Platform | Generative BI Dashboard |
- Real-Time Portfolio Visibility for PMO Leadership: PMO leaders now have live, self-serve access to current project status across the full portfolio, removing the dependency on periodic manually produced reports and enabling more informed, timely delivery decisions.
- Ad Hoc Query Time Reduced from 48 Hours to Under Two Minutes: Questions that previously required a formal analyst request and a 24 to 48-hour wait are now answered through the platform in under two minutes, returning live results through a plain English query interface.
- Analyst Capacity Redirected to Strategic Work: With routine status queries and standard reporting handled automatically by the platform, analytics team capacity has been freed from repetitive output production and redirected toward higher-value strategic and predictive work.
- Proactive Risk Escalation Across the Portfolio: The platform automatically surfaces projects approaching SLA thresholds and milestone overruns as they emerge, enabling PMO leadership to respond to delivery risks before they escalate into larger issues.
“For the first time, I can answer a question about our project portfolio in the room without needing to ask someone to run a report. The platform has given us a level of visibility we simply did not have before. Our PMO now operates on live data, and that has changed how we make decisions at every level of delivery.”
-PMO Director
What began as a reporting bottleneck became a foundational shift in how the organisation manages and monitors its project portfolio.
Ksolves, an AI-First Company, helped the global telecom enterprise move beyond delayed manual reports, SQL request queues, and siloed risk data to a live, self-serve portfolio intelligence environment powered by natural language. PMO leaders can now access accurate project data instantly, risk signals are surfaced proactively, and the analytics team has been repositioned from routine output production to strategic analysis.
As enterprise project portfolios grow in complexity and the pace of delivery decisions accelerates, the ability to access current, accurate data in real time becomes a structural advantage. Through AI and ML Consulting Services, Ksolves helps organisations design and implement intelligent analytics platforms that democratise data access, reduce operational delays, and build the foundation for faster, more confident delivery operations.
With NPAS GenBI in place, the organisation is positioned to extend Generative BI capabilities across additional data domains and integrate predictive milestone forecasting as the next phase of its portfolio intelligence strategy.
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