Introducing Custom Agents on ConstructChat

Infrastructure teams can now build and deploy their own purpose-built AI agents on ConstructChat, configured for the specific workflows, data, and decisions that define their work.

The most capable AI isn't always the most general one. For the people making consequential decisions in infrastructure, generality has limits. What actually moves the needle is an intelligence that knows your domain, your data, and your workflows. Today, we're introducing custom agents on ConstructChat: the ability for teams to build, discover, and deploy purpose-built AI agents configured precisely for the work they do.

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Explore Agents: Build or Discover What You Need

The new Explore Agents page is where this begins. It's a space to create your own agents and to discover ones already built by others in the ConstructChat community. Each agent is a custom version of ConstructChat that combines specific instructions, extra knowledge, and skills, tuned to a particular discipline, asset class, or decision type.

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A data centre investment analyst can build an agent that evaluates projects using structured financial and technical criteria. A country infrastructure planning team can configure one focused on regulatory frameworks and rezoning considerations. A utility team can deploy an agent that assesses data centre proposals against grid capacity and cost parameters. These aren't hypothetical: they reflect the kind of agents already appearing in the community today.

Constructchat agents ui 2025

Why This Architecture Matters

Infrastructure projects are among the most complex, multi-party, long-duration undertakings in the global economy. They span dozens of disciplines, generate vast documentation, and produce decisions that cascade across years. A single AI model asked to navigate that complexity from scratch, every session, is a blunt instrument.

Custom agents change the equation. They let teams encode expertise, context, and workflow logic into a persistent intelligence layer that gets more useful over time. The agent you configure for bridge inspection understands your grading criteria, your regulatory framework, and your asset history. It doesn't need to be re-educated at the start of every conversation. And because agents can be shared across the ConstructChat community, the best institutional knowledge doesn't stay locked in one team.

The Infrastructure AI Stack Is Evolving

This reflects a broader shift in how serious organisations are deploying AI: not as a single assistant doing everything for everyone, but as a network of specialised agents, each expert in its lane, coordinated to support the full complexity of the built environment. Custom agents on ConstructChat are where that architecture becomes practical for infrastructure teams.

The deeper value isn't in any single agent. It's in what becomes possible when every function, from procurement to risk to asset management to environmental review, has an AI layer built specifically for its work.


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