Bridgit has launched Bridgit AI Agents and Bridgit MCP for construction workforce planning. The Toronto company says its customers include more than 40% of top contractors.
The new products expand Bridgit's AI offering from answering workforce questions to carrying out planning tasks and feeding live workforce data into third-party AI assistants used by contractors.
The launch comes as construction groups face labour shortages and take a closer look at software that can help allocate staff, fill roles and track project changes. Bridgit is targeting a part of the market that has received less attention than tools for contract review, safety monitoring and estimating.
Earlier this year, the company introduced Ask Bridgit, which lets users query workforce data in plain language. The latest release adds what Bridgit describes as semi-autonomous agents that can act on behalf of planners while keeping a person in the review loop.
Five agents
The launch includes five agents focused on common planning tasks. Team Builder proposes project teams using company criteria and historical workforce data, while Assignment Finder identifies potential roles for workers who will soon become available.
Project Change Digest summarises changes made to a project, Project Org Chart creates visual reporting structures for bids and live work, and Workforce Brief produces a look-ahead schedule covering upcoming assignments and planned time off.
Users can review, edit or override recommendations before any action takes effect, and each recommendation includes an explanation in plain language.
"Bridgit AI started by helping teams get answers faster. Agents are the next step - they get the work done," said Mallorie Brodie, Chief Executive Officer and Co-Founder of Bridgit.
"Workforce planning is a complex process, and our AI makes it easy to sift through information, recommend action and streamline high-effort, high-friction workflows with agents that help contractors keep their business moving," Brodie said.
Bridgit says the agents are built on structured workforce and project data held in its platform. That means recommendations such as team selection or conflict alerts are based on a contractor's own records rather than generic templates.
The company says this matters because staffing decisions are shaped by each contractor's internal rules, project history and available skills. As more information is added over time, the system's suggestions should reflect those patterns more closely.
Data connection
Alongside the agents, Bridgit has introduced Bridgit MCP, short for Model Context Protocol. The tool links live Bridgit data with AI assistants such as Claude, ChatGPT, Copilot and Gemini.
The connection is designed to let contractors ask workforce questions in natural language through an assistant they already use, rather than switching into Bridgit or manually generating reports. It also allows users to combine Bridgit's workforce information with data from other systems, such as customer relationship management or timesheet software.
"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," Seguin said.
The move reflects a broader push by software vendors to place business data inside general-purpose AI tools rather than asking customers to adopt separate interfaces. In construction, where staffing data often sits apart from operational and financial systems, linking those sources has become a more prominent issue.
Bridgit says its software is already used by a significant share of major contractors, giving it a large dataset on workforce allocation and scheduling pressures across the sector. Those pressures have become more acute as builders contend with shortages of skilled labour and tighter project margins.
"Teams are already incorporating AI assistants into their workflows," Brodie said.
"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," she added.
Bridgit is privately held and counts Autodesk, Salesforce Ventures and Sands Capital among its backers.