AI workforce platform
The agents are already on the job.
They watch workforce events, use the context already in Teambridge, follow your operating rules, and finish the next step.
Relay · Shift Filling
A qualified worker cancels an upcoming shift
Recorded outcome
The first valid claim updates the schedule
A working agent
The work moves. The guardrails stay.
An agent is useful when it can finish a real step and leave the operation easier to run. Watch one event move from signal to a recorded result.
Open shift recovery · Live run
In progressWhat the agent is doing
A shift opens, a file arrives, a worker replies, or a timecard changes.
Ready-made specialists
Start with six. Build beyond them.
The first specialists cover common frontline workflows. Custom agents can follow the same pattern for company-specific work, data, rules, and outputs.
Scout
ID Parser
Expiry, authority & name · accept or reject
Sift
Résumé Parser
Experience + skills, with profile tags
Relay
Shift Filling
Outreach sent, shift claimed
Clutch
Urgent Shift Fill
Bonus offer sent, shift filled
Pulse
On My Way
Shift flagged at risk or ready
Tally
Timesheet Parser
Validated hours, or a flagged discrepancy
Custom agent
Use your event, context, actions, and review rules.
Policy Engine
Agents are powerful when they run on rules, not guesses.
Every Teambridge agent runs inside the Policy Engine. Federal, state, and union rules plus your own business processes act as guardrails, checked before any action is taken.
AI Agents
Federal Laws
State Laws
Union Rules
Business Processes
Agent operations
Know what ran. See what came back.
Agent work belongs in the operational record. Teams need activity history, configuration, performance context, and the result each run returned.
Trusted to run critical operations
Confidence at every layer.
Teambridge protects the workforce data and operational workflows your teams rely on every day, with independently verified controls, transparent security practices, and enterprise-grade safeguards.
SOC 2
Type II
HIPAA
Compliant
GDPR
Compliant
ISO 27001
Certified
Backed by the very best
Investors behind category-defining software companies.
Built into Teambridge
An agent never works alone.
The data finds the work. The rule defines the lane. The agent completes the step. Teambridge records what happened.
01
Data Platform
Supplies the worker, work, document, time, and policy context.
02
Automations
Define event-driven rules and repeatable workflow steps.
03
Agent directory
Explore the six ready-made specialists and their workflows.
04
Architecture
See how records, permissions, workflows, and agents fit together.
Product questions
What operations teams ask about AI
The practical questions behind agents that complete work inside a controlled workforce platform.
AI workforce management uses AI agents to automate repeated frontline operations such as filling shifts, confirming attendance, reading documents, routing issues, and preparing timesheets for review.
Teambridge uses AI agents that wake up from workforce events, read approved data, use configured tools, and return a result such as a claimed shift, parsed document, risk flag, or written note.
No. Teambridge AI is built around operational agents. The agent has a trigger, workflow context, data access, tools, and a target output.
No. The six specialists are ready-made starting points for common workforce workflows. Teambridge can also support custom agents designed around company-specific events, records, actions, rules, and review points.
Yes. Workflows can preserve human approval and review points for exceptions, sensitive decisions, and actions your organization does not want completed automatically.
Map the first agent
Bring the work your team repeats.
We’ll identify the event, context, actions, review points, and result that belong in the workflow.
Meet the agents