Discover how we helped a 100‑country real‑estate leader modernize operations with a governed, agentic AI fabric that dynamically orchestrates tasks across SharePoint, ADO, and GitHub—halving time‑to‑market, strengthening FinOps and compliance, and scaling secure, data‑driven innovation across the enterprise.
for AI-enabled apps via reusable agent templates and centralized orchestration.
enabled with secure, scalable access through RBAC.
(JIRA, ADO, GitHub) minimizing manual handoffs and errors.
FinOps, audit, and moderation—within BlueVerseTM Foundry for token‑level cost visibility and compliant operations.
Client
The client is a global leader in commercial real estate services, operating in over 100 countries with more than 140,000 employees. Its offerings span leasing, capital markets, valuation, project and investment management, covering four key segments: Advisory Services, Building Operations and Experience, Project Management (with Turner & Townsend), and Real Estate Investments.
To stay ahead in a rapidly evolving industry, the company is expanding its tech-enabled services, integrating sustainability into its solutions, and leveraging data-driven insights to help clients navigate complex real estate challenges with agility and innovation.
Key objectives
- Establish centralized governance and monitoring for the entire agent lifecycle and cost tracking
- Enable dynamic orchestration of agents across real-time and static data sources
- Integrate seamlessly with internal systems and support open-source frameworks
- Implement robust AI testing and evaluation mechanisms
- Reduce time-to-market through reusable components and streamlined deployment
- Ensure secure access and global compliance through role-based access control (RBAC)
Market Trends in Commercial Real Estate
The commercial real estate sector is experiencing rapid shifts driven by hybrid work models, increased sustainability demands, and the need for data-driven decision-making. Industry leaders are investing in intelligent automation and advanced AI capabilities to enhance operational efficiency, scale services, and deliver superior client experiences. Achieving this at an enterprise level requires robust agent orchestration, secure integration, and effective cost governance to remain competitive and compliant.
Business Challenges
The COO to modernize operations by deploying scalable agentic AI systems capable of orchestrating tasks dynamically across diverse data sources such as SharePoint, ADO, and GitHub. However, several architectural challenges hindered progress:
- Fragmented governance and redundant code across multiple applications
- Limited scalability and absence of centralized moderation
- Lack of token-level financial operations, auditability, and comprehensive AI testing frameworks
- Incompatibility with open-source frameworks, restricting innovation
- Slow time-to-market for new agents due to inefficient deployment processes
Business Benefits
- Achieved a 50 percent reduction in time-to-market for AI-enabled applications by leveraging reusable agent templates and centralized orchestration
- Improved operational efficiency by automating agent workflows and minimizing manual intervention across JIRA, ADO, and GitHub
- Provided secure, scalable access for over 10,000 associates through RBAC
- Enhanced governance and cost control via integrated FinOps, audit, and moderation capabilities within BlueVerse Foundry
- Accelerated deployment through dynamic configuration of real-time and static data connectors, eliminating redundant development work
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