AI FOR CONSTRUCTION
Move project information faster from pursuit through delivery.
We connect pursuits, project documents, reporting, and company knowledge so teams can move faster without losing control of the work.
WHERE WORK GETS STUCK
The information exists. The team still spends hours finding, rewriting, and routing it.
- Proposal teams rebuild answers from scattered past submissions and subject-matter interviews.
- Project knowledge is spread across documents, platforms, email, and the people who remember what happened.
- Reporting and coordination consume experienced staff who should be focused on risk, quality, and delivery.
THE OPPORTUNITY
Construction AI becomes useful when it fits the way responsibility already moves through a project. Ruby starts with the real handoffs: who receives the information, who knows whether it is correct, who approves it, and where it must go next. The system prepares and coordinates work while estimators, project teams, and executives remain accountable for the decisions.
WHAT RUBY CAN BUILD
Start with the work, then build the system around it.
RFP and proposal response
Read incoming requirements, retrieve approved prior content, draft in the company’s voice, identify missing information, and route questions to the right experts.
Project-document intelligence
Search approved drawings, specifications, contracts, submittals, RFIs, meeting notes, and project records with links back to the source.
Project reporting
Collect recurring updates, identify missing inputs, prepare first-pass summaries, and keep leadership reporting connected to project evidence.
Estimating and scope review support
Organize bid documents, compare scopes, surface exclusions or inconsistencies, and prepare questions for experienced estimators to resolve.
Company knowledge
Turn completed proposals, project lessons, safety practices, closeout materials, and expert know-how into a permission-aware resource for future work.
Change-order and issue coordination
Bring together scope changes, cost and schedule impacts, related correspondence, missing approvals, and open decisions for responsible teams to review.
PROVEN IN PRACTICE
Construction RFP Agent
Ruby built an RFP agent for a construction company whose manual proposal process took more than 200 hours per response. The company can now pursue five times as many RFPs per year, representing $130 million in additional annual bid capacity without adding headcount.
Read the case studiesHOW WE BEGIN
One trusted workflow before a sprawling transformation.
Ruby maps the workflow with the estimators, project teams, operations leaders, and subject-matter experts who own the work. We begin with a bounded process, connect only the sources that should be used, and design review into the system before expanding it.
- 01Understand the work and its controls.
- 02Build with the people responsible for the outcome.
- 03Teach the team, measure use, and improve the system.
COMMON QUESTIONS
What responsible implementation looks like.
Can Ruby work with our construction platforms and document systems?
Often, yes. The first step is understanding where the relevant information lives, what integration options exist, and which system must remain authoritative.
Will AI answer project questions without review?
Not when the answer is consequential. Ruby can retrieve sources, prepare a response, and route it to the responsible person. Approval and accountability stay with the construction professionals who own the work.
Is RFP automation only useful for large contractors?
No. It is useful when proposal work is repetitive, source material is scattered, and subject-matter interviews consume significant time. The implementation should still match the firm’s actual pursuit volume and economics.
Can you train office and field teams differently?
Yes. Ruby’s education is role-based and grounded in real work, so executives, project teams, estimators, and operational staff do not receive the same generic training.
THE NEXT STEP