Access Construction launches Evo agentic AI across its ERP suite

Access Construction has unveiled Access Evo, an agentic AI layer spanning its estimating, project management and ERP products across the UK, US, Ireland and Australia.

A long, brightly lit aisle in a data center is lined with rows of white server racks displaying green indicator lights on both sides, with colorful patterned floor tiles at the base of the racks.

Access Construction, a division of The Access Group, has announced general availability of Access Evo, an agentic AI capability built across its portfolio of construction software. The launch, effective 15 October 2026, extends the company's Access ConQuest estimating platform, Access Fonn project management tool and Access Coins construction ERP with a connected intelligence layer that the company says turns passive systems of record into a proactive system of action.

The company says Access Evo can carry context across products, automate routine tasks, and surface commercial risks before they affect project margins. The release is live across the UK, Ireland, the United States and Australia, targeting the more than 130,000 users the company claims across its global customer base.

What Access Evo delivers

The platform introduces four discrete capability sets. Access Evo Navigator provides a role-based workspace that aggregates tasks, communications and priorities from connected applications into a single daily view. Access Evo Researcher allows users to query business data and documents using natural language, combining AI retrieval with internal context rather than relying on general-purpose tools such as ChatGPT. Access Evo Assistants are domain-specific conversational agents that execute background tasks, from extracting contract data to drafting compliance forms, with human approval required before final outputs are committed. Access Evo Workflow provides a visual, drag-and-drop interface for designing automated data pipelines across the platform's applications.

Access Construction is positioning the human-oversight model as a commercial differentiator. The release makes explicit that all agentic actions operate under "human-in-the-loop" controls, and that customer data is never used to train external AI models. The company also states that Access Evo holds ISO 27001 certification and that data access is governed strictly by each user's existing software permissions.

Alex Boury, General Manager of Access Construction, said: "With Access Evo, Access Construction is now the only provider that connects context across the entire construction lifecycle."

Analyst endorsement came from Aly Pinder, Research VP for Aftermarket Services Strategies at IDC, who noted the importance of embedding agentic capabilities "directly across core operational and financial systems while maintaining strict enterprise security and role-based data governance." UK contractor Ascia is cited as an early reference customer, with Construction Director Steve Higgins pointing to administrative workload reduction as the primary expected benefit.

Market context

The vertical construction-software market has been consolidating for several years, with major platforms seeking to add AI layers across project management, cost control and workforce planning. Procore, Oracle Construction and Management, Autodesk Construction Cloud and Trimble's portfolio are the most commonly cited global comparators, all of which have announced AI product roadmaps over the past eighteen months. Access Construction's strategy of tying agentic AI tightly to its own data model, rather than offering a generic LLM wrapper, mirrors approaches seen elsewhere in vertical enterprise software, where proprietary data context is presented as the principal barrier to replication.

The ISO 27001 certification claim and the emphasis on data not leaving the customer environment are directly responsive to procurement requirements in regulated construction markets, particularly infrastructure and public-sector contracting in the UK and Australia, where data-handling obligations can be contractual conditions. The EU AI Act's transparency and human-oversight provisions, while not yet directly applicable to this product in its current markets, are shaping enterprise buyer expectations; the explicit human-in-the-loop framing in Access Evo's design reflects that broader direction of travel.

The company does not disclose pricing for the Access Evo tier, nor does it publish performance benchmarks for the AI components. Buyers evaluating the platform will need to assess total cost of ownership against incumbent workflows, particularly given that construction firms typically manage long ERP replacement cycles. The next key milestones to watch will be named enterprise wins beyond Ascia and published data on measurable productivity or margin outcomes.