Teambridge today announced the launch of Teambridge AI, the first outcome-oriented platform designed for contingent workforces.
For years, AI progress has centered on desk workers. But the technology given to the people who keep the world running, from healthcare professionals to event staff and manufacturing crews, and the teams that support them, hasn’t been good enough. They’ve been left with legacy systems, clunky spreadsheets, generic dashboards, and cookie-cutter workflows. Software that did just enough to keep the lights on, but never enough to attract talent or outperform the competition.
According to a Gallup poll, white-collar workers are three times more likely to use AI in their roles than blue-collar workers. And the gap may be even wider than reported, as self-reported surveys often suffer from social desirability bias, where respondents overstate behaviors they think are expected.
Teambridge changes that with an AI-native platform designed for the pace, regulations, and unpredictability of real-world operations, where staffing gaps, compliance issues, and last-minute changes directly impact service delivery and revenue.
“AI is best suited to the realities of large, dynamic workforces because of its inherent ability for speed and scale,” said Tito Goldstein, CEO and Co-Founder of Teambridge. “Engaging every lead, filling thousands of roles, and orchestrating massive schedules that change by the minute are all no longer out of reach. For Teambridge customers, it’s a competitive edge.”
Teambridge AI is made up of four key capabilities that combine to deliver the only outcome-oriented AI platform for contingent workforces:
- Policy Builder: A first-of-its-kind rules engine that enforces compliance across businesses. From union rules to scheduling limits and credentialing requirements, Policy Builder prevents costly compliance mistakes before they happen.
- Ponder: An always-on analyst that delivers hours of analysis in seconds. Ponder surfaces insights, explains the “why” behind trends, and can even take action, like generating shifts or reaching out to candidates.
- Automation Engine: The workflow automation layer that orchestrates and activates AI agents whenever the determined criteria and conditions are met, turning manual processes into automated systems, ensuring nothing slips through the cracks.
- Specialists: AI agents that handle recruiting, scheduling, credentialing, and client requests at unprecedented speed and scale. Specialists are fully customizable, no code, and embody an organization’s best practices, ensuring work gets done in real time.
Unlike point solutions or wrappers around ChatGPT, Teambridge AI integrates directly into staffing workflows, scaling best practices into automated execution.
Matt Strange, COO of Procare HR, recognizes how Teambridge AI can reshape the way they serve clients. “Teambridge’s new capabilities are a game changer for us at Procare. So much of what we do relies on manual calculations and hours of human-centered work. Being able to leverage real-time data and identify trends will really be impactful and meaningful for the work we do for our clients.”
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