Bridgit, the AI company redefining how construction plans its workforce, announced the latest expansion of Bridgit AI, introducing Bridgit agents and the Bridgit MCP. Together, they extend the Bridgit AI platform from answering workforce questions to taking action on planners’ behalf — and bringing live Bridgit data into the AI tools contractors already use.
AI is reshaping much of construction by reading contracts, flagging safety risks, and sharpening estimates. But most of it has pointed at project execution, not workforce management – despite the fact that today’s difficult labor market makes staffing decisions one of the biggest levers on profitability and retention. Bridgit’s AI is the first and only tool to address that gap.
From Answers to Action
Bridgit introduced Ask Bridgit earlier this year, letting construction teams ask questions about their data in plain language: who’s available, when, and for how long. Agents build upon that foundation and go from answering to doing. Bridgit agents can execute workforce planning tasks such as assembling an optimized project team, identifying and resolving scheduling conflicts and resource constraints, creating customized reports, and recommending the best person to fill a gap.
“Bridgit AI started by helping teams get answers faster. Agents are the next step — they get the work done,” said Mallorie Brodie, CEO and Co-Founder of Bridgit. “Workforce planning is a complex process, and our AI makes it easy to sift through complex information, recommend action, and streamline high-effort, high-friction workflows with agents that help contractors keep their business moving.”
Grounded in the Industry’s Deepest Workforce Data
Bridgit understands the complexity of workforce planning better than anybody else, and its agents are built on the same deep, structured workforce data that has made Bridgit the planning platform of choice for 40% of top contractors. When an agent recommends a team or flags a conflict, the reasoning is grounded in a company’s own project and people data inside Bridgit — so recommendations reflect how each unique business actually works, and sharpen over time as more of that data accumulates.
Five Agents, Built for the Work That Takes the Most Time
Bridgit AI launches with five agents, each targeting a distinct planning task:
- Team Builder proposes strong project teams based on a combination of your firm’s unique criteria and historical workforce data. Operations leaders review, adjust, and confirm — building on a solid draft rather than filling roles in isolation.
- Assignment Finder helps operations leaders quickly identify suitable roles for people with upcoming availability, keeping workers fully utilized and off the bench.
- Project Change Digest summarizes what changed on a project in a structured digest, so leaders and executives stay current without digging through audit logs.
- Project Org Chart builds visual org charts that convey hierarchy and reporting lines for pursuit bid packages and active project planning.
- Workforce Brief builds a lookahead schedule to provide visibility of upcoming changes, including assignments starting or ending and planned time off.
When Bridgit agents suggest an action, they always provide the reasoning behind it, allowing the user to review and decide what to implement. Every step is easy to edit or override before it takes effect.
“That’s not AI magic; it’s purposeful design at work,” said Vincent Seguin, Chief Technology Officer of Bridgit. “Every agent we build has to show the recommendation and the reasoning behind it, in plain language, before a planner ever sees it. If we can’t explain why an agent did something, it doesn’t ship. That’s the bar for building AI that earns a team’s trust and truly makes their jobs easier”
Bridgit Data, Inside the AI Tools You Already Use
Alongside agents, Bridgit is also launching the Bridgit MCP (Model Context Protocol) — a secure connection that brings live Bridgit data into the AI assistants contractors are already building workflows around, including Claude, ChatGPT, Copilot, and Gemini. A contractor can ask their AI assistant a workforce question in plain English and get a response powered by live data from their Bridgit account — without switching tools or pulling a report. Combined with data from a CRM or timesheet tool, planners can answer questions that no single system could address on its own.
“Teams are already incorporating AI assistants into their workflows,” said Brodie. “Without an MCP, those tools aren’t tapping into their Bridgit data, which represents some of the most valuable workforce data they can leverage for planning. ”
