Agents do the work. Humans hold the authority.
IntelliByld uses specialised AI agents to handle repetitive procurement, logistics and carbon work — drafting, analysing, chasing, monitoring and recommending — while your team keeps control of the decisions that matter.
AI execution with clear approval gates
The goal is not autonomy for its own sake. The goal is faster, better-informed construction supply-chain decisions with a clear audit trail.
Meet the specialised agent teams
Each team reads and writes to the same material-centric project state, so procurement, delivery and carbon do not become separate data silos.
Procurement Agents
Draft RFQs, chase supplier responses, structure quotations, compare bids and prepare award recommendations.
Explore procurement agents →Logistics Agents
Monitor supplier commitments and delivery milestones, surface disruption risk and coordinate exceptions around site needs.
Explore logistics agents →Embodied Carbon Agents
Match materials to EPDs or approved factors, calculate carbon and bring lower-carbon alternatives into procurement decisions.
Explore carbon agents →Automate the busywork, not accountability
IntelliByld can move quickly around a decision without silently taking ownership of the decision itself.
Agentic AI, answered
What does agentic AI mean in IntelliByld?
It means specialised AI agents can carry out multi-step work such as gathering information, drafting communications, comparing supplier data, monitoring status and preparing recommendations rather than only answering questions.
Does the AI autonomously award suppliers or issue purchase orders?
No. IntelliByld can automate analysis and coordination around those decisions, but commercial, contractual and regulatory actions remain behind human approval gates.
Why use specialised agents instead of one chatbot?
Construction supply-chain workflows contain different responsibilities, data sources and approval rules. Specialised agents make those responsibilities explicit while sharing a common project state through IntelliByld's Construction Supply Chain Digital Twin, backed by a knowledge graph and construction-trained SLM.
Can we start with only one workflow?
Yes. A pilot can begin with a focused workflow or material package, then expand into logistics or embodied-carbon intelligence as useful data becomes available.
Put AI to work on a real material workflow
Start with one project or package and prove the workflow using your own procurement and delivery data.