LayeredAI

Construction

Construction agent

Built for the $10M–$100M contractor — too big to run on the site engineer's memory, too small for a year-long enterprise rollout. Start with one or two read-only use cases and expand once the results have earned it.

Construction workflow

agent spec

Manual pain

SAP knows what you spent. Primavera knows you're late. The BOQ knows what you planned. No system connects them.

01

Early risk detection

02

Cash-flow intelligence

03

Management copilot

01

workflow owner

03

agent actions

100%

reviewable by design

Live

handoff-ready system

Agent actions

The job is narrow on purpose.

Each agent starts with a small set of operating actions, clear escalation, and visible ownership.

Early risk detection

Primary automation path.

Cash-flow intelligence

Context and exception handling.

Management copilot

Outcome and handoff layer.

What the spine unlocks next

Connect the systems once, and these come free.

Not shipped today — the natural next step once the spine is in place. Same reasoning, applied to more decisions.

On the spine

BOQ vs. reality

Planned 10,000 tiles, trending to 12,000 — caught while there's still time to file the variation.

On the spine

Change-impact analysis

A drawing revision or supplier delay traced through quantities, procurement, schedule, billing and cash.

On the spine

Procurement intelligence

Required-on-site dates vs. the real supply path — a PO is not a delivery.

On the spine

Resource visibility

Idle equipment and crew conflicts across sites, with feasibility checked before anything moves.

On the spine

Cross-project learning

Every job teaches the system your real productivity rates, supplier reliability and client payment patterns.

Controls

Production means the team can trust it.

The system is designed with human review, evaluation, auditability, permissions, and monitoring before expansion.

Human-in-the-loop stays visible.

The agent handles the repetitive path. People still own approvals, exceptions, and high-risk decisions.

Read-only — never writes to your systems

Runs in your private cloud

Deterministic math, not model guesses

Sources, freshness and confidence on every answer

Proof signal

Past pattern, not a promise.

Concluding an implementation with Vel Amrith, a construction and facility-management company in Riyadh, and in discussions with a second, larger Gulf group.

Next step

Start the construction workflow audit.

Bring one workflow your team still handles manually.