CONSTRUCTION AI AGENTS

Construction AI agents that work
inside real workflows.

Cyberate builds AI agents for construction businesses that need help with quoting, scheduling, reporting and document-heavy workflows. They are not generic chatbots: they run on top of real operational systems, with clear data boundaries and human confirmation points built into the workflow.

Search page. The agent list, the confirmation model and the live interfaces sit on the AI overview.

See the agents · See live deployments

WHERE YOU ARE

This page answers the search.
The other rooms do the rest.

Product detail, the agent, the live case and the industry page each have one job. Open the room that matches what you need next.

• AI overview: The agents, the confirmation loop and how they sit on a system.
• Systems first: If the job is still uncontrolled, start with the workflow, not the agent.
• How we deploy AI: Shadow, then assisted, then routine. Data boundaries before a model.
• Live cases: Four operations where the underlying systems already run.

Who this is for.

Construction companies, builders, developers, manufacturers and trade contractors that already know where the work gets stuck.

You may not need a broad AI strategy. You may need an agent that helps prepare quotes, update schedules, summarise project data, read documents or flag workflow conflicts before they become site problems.

The problem: information
still moves by hand.

Most construction work still depends on people manually moving information between drawings, spreadsheets, emails, site notes, accounting files and project reports. That creates slow quoting, delayed reporting, fragile scheduling and poor visibility across projects. The Productivity Commission's February 2025 research paper makes the same observation at industry scale: construction "has been slow to take advantage of digital technologies", only 35% of firms are innovation-active, and R&D per dollar of value added sits near the bottom of all Australian industries.

AI can help, but only when it is attached to a workflow that is already understood. Without that, it becomes another tool people have to manage — an agent on a real workflow is a way to skip a generation of tooling, not just catch up.

How Cyberate solves it.

Cyberate builds agents around specific construction jobs, each with a clear boundary: what it can read, what it can draft, what it can recommend, and what still needs human approval.

• Quoting Agent: Reads structured project inputs and prepares quote drafts for estimator review.
• Scheduling Agent: Proposes resequencing when work changes, and flags the knock-on effects.
• Reporting Agent: Turns project and finance data into stakeholder-ready updates.
• Document Intelligence: Reads drawings, specifications and contracts, then converts them into structured data other systems can use.

The proof behind the agents.

Cyberate's agents are built from systems already running inside live construction and development operations.

• Automated quoting: Live workflows that reduced quote preparation from days to minutes.
• Scheduling & materials coordination: Systems used by trade operations across parallel sites.
• Reporting: Connected to live project and finance data, not month-end spreadsheets.
• Document intelligence: Built around real drawings, specifications and contracts, with research presented at WSBE26.
• DDDI Group: Everything proven inside a live residential development and construction ecosystem first.

See the deployments

The agent pathways available.

Each can be used as a focused agent, connected to a Cyberate system, or configured around your existing tools and workflows.

• Quoting Agent: Drawings and specifications into a priced draft quote, estimator-approved.
• Scheduling Agent: Programme changes traced and re-sequenced, scheduler-approved.
• Reporting Agent: Live operational data into stakeholder-ready report drafts.
• Document Intelligence: The parsing layer beneath every agent: drawings, specs and contracts as structured data.
• AI Deployment Approach: How every agent ships: shadow first, then assisted, then routine.
• For Construction Companies: Where agents sit in a builder's operating chain.

Meet the full suite · Have an agent built for your workflow

How to start.

Bring us the process that wastes the most time or depends too heavily on one person: quoting, scheduling, reporting, procurement, document review or project coordination.

Start with one repetitive workflow.

1. Map the workflow: How the work actually moves today, person by person.
2. Define the data boundary: What the agent may read, and what stays out of scope.
3. Find the safe assists: Where an agent can draft, propose or flag without new risk.
4. Recommend the pathway: Product, configured solution or custom build.

Questions, answered plainly.

What construction AI agents does Cyberate build?

Cyberate builds AI agents for quoting, scheduling, reporting and document intelligence in construction workflows. The agents run on top of real operational systems rather than sitting outside the business as generic chatbots.

Do the agents replace people?

No. Cyberate agents draft, propose, extract and flag. People still confirm decisions. Human approval points are built into the workflow.

What makes Cyberate different from an AI agency?

Cyberate builds AI agents from inside live construction operations. The systems are tested against real quoting, scheduling, reporting and document workflows before they are offered to the wider industry.

Can Cyberate connect agents to existing systems?

Yes. Cyberate can connect agents to existing tools where the data boundary, permissions and workflow are clear.

Bring us the workflow
that keeps breaking.

Whether the problem is quoting, scheduling, reporting, procurement, document review, group finance or site coordination, Cyberate starts with the way your operation actually works.

Start with one workflow. If the system proves value, go deeper.

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