Teambridge AI workforce agents

AI agents for workforce management.Built to do the work.

Start with six agents for common workforce work. Fill shifts, verify documents, catch attendance risk, and reconcile time. Then build custom agents around the processes unique to your operation.

See the starting lineup

Start with one workflow. Keep your rules, review points, and operating context.

Workforce event loop

Work is moving

Active
Teambridge Scheduler AI agent

Signal

Shift cancelled

Context

Rules checked

Outcome

Qualified worker confirmed

Ready agent catalog

Start with six.Build what comes next.

Choose a ready agent for common workforce work. Need something specific? Teambridge can create one around your process, rules, and expected result.

The catalog is the starting point

Your workflow can become the next agent.

See custom agents

One workflow, start to finish

A shift drops.Relay moves.

No one builds a call list. Relay checks qualifications, availability, and policy, contacts the right workers, then puts confirmed coverage back on the schedule.

Relay working now
9:02 AM to 9:06 AM

The signal

A 7 AM shift just opened.

Sunrise Care Center · CNA · Tomorrow

Relay, the Teambridge shift filling agent

Relay handles the chase

12 qualified workers found

Policy and availability checked

Outreach sent in priority order

Back in the schedule

Nina Patel, the worker confirmed for the open shift

Nina confirmed.

Qualified · Available · On schedule

Manager tasks created: 0

Product proof

Know what worked.

See every activation, resolution, exception, and response time. Prove which workflows return capacity and where a manager still needs to step in.

Every completed outcome
Every exception needing review
Every change written back
Teambridge agent performance dashboard showing activations, outcomes, exceptions, and response time

Outcome ledger

Every run leaves proof.

Resolved

Coverage confirmed

Needs review

Policy exception

Recorded

Worker profile updated

Control by design

You draw the line.Agents stay inside it.

Choose the records each agent can read, the actions it may take, and the decisions it must hand to a person. Every run leaves a reviewable history.

Relay boundaries

Relay · Shift filling

Active

Permission map

Can read

Worker skillsAvailabilityOpen shifts

Can act

Send outreachUpdate the schedule

Must ask

Pay changePolicy exception

Decision in progress

Pay change requested.

Routed to a manager

Agent paused · Review required

Every decision stays reviewable.Full activity log

Connected Teambridge products

Context.Already connected.

Agents should not start from a blank prompt. Scheduling, onboarding, time, and workflow rules give them live operational context from day one.

Beyond the starting six

Your workflow.Your agent.

The first six cover common workforce work. Custom agents handle the process only your team runs. Give one a clear job, approved context, your rules, and the result your team expects.

Agent blueprint

When a shift stays open, check skills and policy, then message the right people, and return confirmed coverage.

One job. One visible result.

Frontline industries

Built for frontline pressure.

Agents work from the qualifications, schedules, attendance signals, and time records that make each operation different.

One operating system

The work is here.So are the agents.

They do not start in a separate chat window. Teambridge agents live beside the schedules, workers, documents, rules, and time records they use to complete the job.

01

Triggered by the work

A shift opens, a document arrives, or a timecard closes.

02

Grounded in your operation

Each agent uses only the people, rules, and records you approve.

03

Returned to Teambridge

The result lands back in the schedule, profile, or review queue.

Teambridge agent library inside the workforce platform

A growing agent library, managed in Teambridge.

Ready and custom agents

AI agent FAQ

Questions, answered.

Understand what agents can do, where people stay involved, and how a custom workflow gets built.

Teambridge agents are AI specialists that run workforce workflows. Each agent has a trigger, condition, action, data access, tools, and a clear output.

Start with one workflow

Put one agent to work.

Pick the workflow slowing your team down. We will map the job, rules, review point, and result with you.

A tailored walkthrough built around one real workflow.

Evaluate the workflow

AI workforce agents for the way your team works.

Evaluate a defined workforce task with the information and human review it requires.

Request a product demo

What to explore in your demo

  1. 01Choose one task and define the intended output.
  2. 02Review current availability, permissions, and the information the agent can use.
  3. 03Discuss human review, limitations, and validation before rollout.