From AI Strategy to a Production Multi-Agent AI Platform

HatchWorks AI first partnered with a national commercial real estate firm on an AI strategy and roadmap engagement, then moved into building a production-oriented multi-agent AI platform focused on high-value real estate workflows. The platform launched with three capabilities: an enterprise knowledge assistant, broker document generation, and title and lease abstraction.

Delivered on the client’s existing Google Cloud stack, the platform provided an intelligence layer giving teams secure, natural language access to enterprise knowledge and deal data without duplicating data or weakening security controls. It established a reusable foundation for future AI use cases across the business.

The firm needed to unlock enterprise knowledge and deal-related data spread across multiple systems, without copying that data into a new store or weakening security. Teams relied on manual, fragmented workflows to answer internal questions, produce broker-facing documents such as Broker Opinions of Value (BOV) and Offering Memoranda (OM), and pull structured information from title and lease documents.

HatchWorks AI began with stakeholder interviews, workshops, a readiness assessment, and opportunity prioritization to anchor the work to measurable business value. That strategy phase produced a phased roadmap and the three initial use cases to build first.

From there, HatchWorks and the client worked in an integrated delivery model to design and implement the platform.

The engagement moved the firm from AI strategy into a working multi-agent Intelligence Platform and shipped the initial release, creating a reusable foundation for future AI-powered workflows. The work supported rollout across the business, enabled secure natural language access to internal systems, and established delivery patterns for document generation and structured extraction.

The initiative gave the firm real momentum: teams saw their AI progress accelerate, and HatchWorks AI was a hands-on partner throughout the rollout. The platform positioned the firm to keep expanding into additional agents and deeper integrations, rather than treating AI as a one-off pilot.