Delphi | Leading Diversified Conglomerate – AI-Powered PMO Transformation

Leading Diversified Conglomerate – AI-Powered PMO Transformation

Conglomerate / PMO

Middle East

Azure OpenAI, Azure SQL, Azure Cosmos DB, Redis Cache, Azure AD, API Gateway

AI-Powered PMO Transformation

An AI-enabled PMO platform that automates project-estimation validation and strengthens governance across projects. Leveraging Azure OpenAI and a multi-agent framework, the solution validates CAPEX/OPEX completeness, financial ratios, 5-year OPEX projections, and benchmarks estimates against historical projects — with project managers uploading estimation templates via a secure web interface backed by Azure SQL, Cosmos DB, and Blob Storage.

Identifying the unique obstacles that hinder progress and uncovering the root causes behind complex business problems.

Manual project estimation validation was time-consuming and inconsistent, with no standardised framework to verify CAPEX/OPEX completeness or benchmark against historical projects.

Financial ratio validation and 5-year OPEX projection accuracy relied on manual review processes, creating risks of cost overruns and inaccurate project planning.

Benchmarking new project estimates against historical data required significant analyst effort, limiting the speed and consistency of estimation quality assurance.

Project managers lacked a secure, structured interface for submitting estimation templates, leading to ad hoc processes that were difficult to govern and audit.

The absence of AI-assisted estimation governance meant that decision-making across the organisation's diverse project portfolio was not data-driven or consistently validated.

Developing strategic, innovative solutions designed to address each challenge with precision, ensuring measurable impact and long-term success.

Deployed an AI-enabled PMO platform using Azure OpenAI and a multi-agent framework to automate project-estimation validation and strengthen governance across all project types.

Implemented automated validation of CAPEX/OPEX completeness, financial ratios, and 5-year OPEX projections using AI models trained on historical project benchmarks.

Enabled project managers to upload estimation templates via a secure web interface, with data persisted across Azure SQL, Cosmos DB, and Blob Storage for reliable, governed storage.

Used Redis Cache and Azure AD for low-latency retrieval and secure access control, with API Gateway and Application Insights for full platform observability.

Benchmarked new project estimates against historical project data automatically, providing project managers with AI-generated validation reports and improvement recommendations.

Delivering tangible results that drive operational efficiency, data trust, and sustained business value for the organisation.

Estimation accuracy improved significantly through AI-assisted validation, reducing the risk of cost overruns and improving financial planning confidence across the portfolio.

Automated benchmarking against historical projects accelerated the estimation review process, freeing analysts from manual comparison tasks and enabling faster project approvals.

Standardised estimation governance across all business units ensured consistent, data-driven decision-making for CAPEX and OPEX planning at enterprise scale.

Project managers gained a secure, structured submission interface with instant AI-generated feedback, improving both the quality and speed of estimation submissions.

Centralised observability and audit logging provided full transparency into platform usage and validation outcomes across all projects and business units.

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UAE

14th Floor, Suite no.1407, Concord Tower, Dubai Media City, PO Box 451893, Dubai.

KSA

7783 Ibn Katheer St – King Abdulaziz DistrictRiyadh 12233 – 4264, Kingdom of Saudi Arabia.

INDIA

Ground & First Floor, Worldmark 1, Asset Area 11,Aerocity, Hospitality District,Near Indira Gandhi International Airport (NH-8),New Delhi – 110037, India

USA

100 N Howard ST STE W, Spokane, WA, 99201-0508, United States

UK

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