Solution

AI Agents for Engineering & Construction

AI agents designed for how engineering and construction businesses actually work — grounded, governed and measurably useful.

Business problem

Why generic AI fails in construction

Generic AI copilots don't understand your drawings, contracts, standards or delivery model. They produce plausible-sounding output that isn't defensible. What construction and engineering teams need is domain-specific agents wired into their real systems and data.

  • Generic AI is not defensible on technical work
  • Engineering knowledge is trapped in documents
  • Bid reviews and QA are slow and inconsistent
  • Project data is scattered across systems
How we solve it

How we design AI agents

Every agent is scoped against a specific workflow, grounded in your data, and evaluated against real-world acceptance criteria. Governance and human review are designed in from day one.

  1. 01

    Scope

    Which decision does this agent make faster, better or cheaper.

  2. 02

    Grounding

    Wire the agent into your source-of-truth data and standards.

  3. 03

    Evaluation

    Build an evaluation set against real historical cases.

  4. 04

    Deploy

    Land into the flow of work — inside Microsoft 365, Teams, or your systems.

Capabilities

Example agents

  • Drawing QA Agent
  • Bid Review Agent
  • Technical Knowledge Agent
  • Project Intelligence Agent
  • Reporting Agent
  • Document Review Agent

Typical outcomes

Accuracy
96%
Adoption
89%
Time-to-answer
Payback
< 12 mo

Frequently asked

An AI system with a defined scope — reviewing drawings, checking bids, answering technical questions — grounded in your data, governed, and integrated into the tools your team already uses.

When designed correctly, yes. Every agent has a defined scope, guardrails, evaluation set and human review points appropriate to the risk profile.

OpenAI, Anthropic Claude, Google Gemini, Microsoft Copilot and Azure AI, orchestrated with LangGraph and MCP where appropriate.

No — they remove the repetitive parts of engineering so your experts spend time on judgement and design decisions.

Typically 8–12 weeks from scoping to live agent in the workflow.

Let's chart the route.

A short discovery call is the fastest way to understand whether we can help.

Book a discovery call