Teambridge architecture
Four layers turn an event into trusted action.
Records provide context. Policy sets the boundary. Workflows define the path. Agents complete the step and write the result back.
01 · Workforce records
Workers, work, time, files, messages, and money
02 · Policy and permissions
Eligibility, access, limits, and approvals
03 · Workflow engine
Events, conditions, actions, tasks, and review
04 · Agent execution
Read context, act through tools, and record the result
Recorded result
Credential approved. Worker readiness updated.
Visible to the whole operation
Four production layers
See where every decision comes from.
An agent should not operate beside the system. Each action should be traceable to a record, a boundary, a workflow, and a recorded result.
Workforce records
Workers, work, time, files, messages, and money
Policy and permissions
Eligibility, access, limits, and approvals
Workflow engine
Events, conditions, actions, tasks, and review
Agent execution
Read context, act through tools, and record the result
One event through the system
Architecture becomes useful when work moves.
Follow one credential from upload to a recorded human decision.
Event
A credential is uploaded
The file lands on a known worker and requirement.
Context
The system gathers what matters
Worker, role, file, expiration policy, and prior activity remain attached.
Action
An agent reads and returns details
The allowed workflow can extract fields and identify what needs review.
Decision
A person approves or resolves
The outcome and evidence write back to the worker record.
Production controls
Speed is useful only when the boundaries are clear.
The production architecture keeps rules, permissions, approvals, and records around the agent instead of asking the model to invent them.
Eligibility before outreach
Rules decide which workers or records can enter the workflow.
Permissions at every action
Agents use the access and tools the platform allows.
Human review for exceptions
Uncertain or sensitive cases can stop with the right person.
An auditable result
Every trigger, action, and outcome remains attached to the work.
Built on the same architecture
Six specialists. One production pattern.
Each ready-made agent starts from a different operational event, but every one follows the same architecture for context, control, action, and result.
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 architecture
Use the same pattern for work specific to your company.
From demo to production
See the loop. Then map it to your operation.
The demo makes agent behavior easy to explore. The production conversation maps that behavior to your real records, policies, actions, and review points.
The production map
Real operational event
Relevant records and policy
Allowed workflow actions
Human review and recorded result
Product questions
What technical teams ask
The practical questions behind Teambridge records, rules, workflows, and agent execution.
Teambridge connects a workforce data model, policy and permissions, a workflow engine, and AI agent execution. Together they let operational events move through controlled actions and return auditable results.
No. Production agents use Teambridge records, permissions, policies, workflow actions, and histories. They are designed to work inside the operating system rather than as a chatbot beside it.
The demo is an interactive way to explore agent workflow patterns. A production implementation still needs to map those patterns to your real data, operating rules, actions, and approval requirements.
Yes. Custom agents can follow the same event, context, action, review, and record pattern for company-specific workflows.
Map the architecture
Bring one workflow that should run itself.
We’ll map the records, rules, actions, agent, and human decisions behind it.