Access Construction launches agentic AI layer Evo for estimating, project management and ERP

Evo’s architecture groups functionality into five components: Navigator, which surfaces role‑relevant information and tasks; Researcher, which answers natural‑language queries using organizational context; Assistants, which handle recurring specialist work under human oversight; Workflow, a drag‑and‑drop interface for connecting data across systems; and Data Engine, which provides construction‑specific analytics. The platform integrates Access ConQuest for estimating, Access Fonn for field delivery and Access Coins for finance, but the announcement does not disclose the underlying model stack or performance benchmarks.

The company says Evo holds ISO 27001 certification, keeps customer data within the secure Access environment and does not use that data to train external AI models. Access supports more than 130,000 users globally, and the practical value of Evo will depend on contractors’ ability to turn connected records into faster, better‑supported actions while maintaining oversight and data‑security controls.