Client Overview
Osool Integrated Real Estate — established by the General Organization for Social Insurance (GOSI) — manages one of the Middle East’s largest property portfolios: more than 1,700 buildings across 4 million m² spanning commercial, residential, retail, and hospitality assets.
As part of a broader transformation programme, Osool sought to modernise its Asset Enhancement Projects (AEP) process, replacing fragmented oversight with an integrated, data-driven control model.
Surtori was commissioned to deliver a proof of concept (POC) demonstrating how AI-enabled PMO automation and asset-intelligence design could deliver measurable efficiency, transparency, and predictive capability across the full AEP lifecycle.
The Challenge
Like many large portfolio managers in the region, Osool operated within a mature governance structure but a data-immature environment.
Project information was distributed across contractors, consultants, and internal systems; approvals relied on manual reporting and offline workflows.
Key constraints:
- Disconnected project and financial data limiting executive visibility
- Manual reporting cycles delaying risk identification and decision-making
- Lack of predictive insight into cost, schedule, and performance variance
- Complex multi-stakeholder governance requiring auditable transparenc
The organisation’s goal was not simply digitalisation but a shift from reactive governance to predictive insight — a transformation aligned with global trends captured in the AIIAM Framework (2024), which identifies Middle Eastern asset managers transitioning from process standardisation to data-driven control.
The Surtori Approach (Fusion Framework™)
Applying the Surtori Fusion Framework™, the engagement progressed through four structured phases — each linking action to measurable ROI and asset-management maturity uplift.
| Phase | Focus | Key Actions | Outcome |
| Discover | Map current AEP workflow & data landscape | Conducted digital-maturity assessment and value-stream mapping; quantified non-value effort across reporting and approvals. | Identified ≈ 40 % latent efficiency potential; established baseline maturity aligned to AIIAM Stage 3 (Integrated Process). |
| Design | Architect interoperable asset-intelligence layer | Designed an integrated control model linking cost, schedule, and risk datasets; defined metadata and data-interoperability standards. | Delivered target operating model for AI-assisted governance and predictive PMO architecture. |
| Deliver (POC) | Validate intelligent-PMO concept with live data | Built proof environment integrating real project data, automated dashboards, and AI risk-forecasting algorithms. | Achieved 65 % reporting-effort reduction, 2× data-accuracy improvement, and real-time performance visibility across pilot AEPs. |
| Embed (Advisory) | Create foundation for enterprise scale-up | Developed governance and scaling roadmap for PMO-as-a-Service across Osool’s full portfolio. |
The Results
Within eight weeks, the proof-of-concept delivered quantifiable and benchmark-exceeding outcomes:
- Reporting Efficiency: 65 % reduction in manual cycles (vs. AIIAM regional benchmark 20–40 %).
- Data Transparency: Real-time dashboards accessible to Osool, GOSI and Hassana stakeholders.
- Predictive Governance: AI-driven risk and variance models with > 85 % forecast accuracy.
- Control Framework: Digitised stage-gates and audit trail ensuring governance compliance.
- ROI Validation: POC payback < 6 months; established business case for portfolio-wide deployment
Compared with AIIAM-reported averages (20–40 % efficiency gain, 25–35 % risk reduction), Osool’s results positioned the organisation as a regional leader in predictive asset governance.
Key Insights & Learnings
- Data integration is foundational. Unified data architecture yields greater ROI than isolated process automation.
- Governance through insight, not process. Predictive analytics enhances — rather than replaces — control and accountability.
- Assistive intelligence drives human performance. Embedding AI as decision support increases accuracy and reduces rework.
- Proof before scale. A short, evidence-based POC builds executive confidence for enterprise adoption.
Osool’s POC validated the AIIAM principle that effective asset management depends on data interoperability and lifecycle feedback, not just process compliance.
Ongoing Partnership
Following the POC success, Osool is progressing toward an enterprise-scale Asset Intelligence Platform, embedding Surtori’s digital PMO as a governance layer across its entire portfolio.
Surtori continues to advise under the Embed Phase, supporting data model evolution, predictive KPI refinement, and continuous ROI tracking.
“Surtori brought structure and intelligence to our asset-enhancement process.
What began as a proof of concept is now the foundation of our digital governance model.”
— Senior Programme Director, Osool Integrated Real Estate