Specialized modules arranged through governed hand-offs around a shared objective.

TieUp Agent Assembly

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Build the team
around the outcome.

Select specialized agents, define their permissions and coordinate accountable work around one shared objective.

Explore the workflow

InputObjective + operating boundary

DecisionCapability + permission fit

OutputGoverned team plan

01

The useful agent is qualified for the task and safe inside the boundary.

Selection should consider demonstrated capability, tool access, data permissions, cost, latency and reliability—not a polished description alone.

  • Capability evidence
  • Tool and data boundaries
  • Reliability and cost
  • Collaboration requirements
02

Many specialists still need one accountable plan.

TieUp Agent Assembly maps ownership, dependencies, review points and failure handling before execution begins.

  • Objective decomposition
  • Role assignment
  • Human approval gates
  • Traceable hand-offs
03

Autonomy should expand only when evidence earns it.

Consequential actions remain bounded by policy, reversible steps and clear escalation paths.

ObjectiveEvidenceAnalysisPolicy gateApproved action

Capability moves through boundaries—not around them.

Every hand-off has a purpose, owner and review condition.

Assemble an accountable workflow

Choose an objective to see roles, dependencies and approval points form around the work.

Illustrative interface · no external agent is called
Shared objectiveAssess a new market entry
01
CapabilityFind missing expertise
Lead
02
CommercialModel terms and trade-offs
Dependency
03
EvidenceBuild the source map
Dependency
04
ReviewApprove consequential steps
Dependency
05
PolicyMap operating boundaries
Approval
EvidenceOptionsBoundaryDecision

One useful relationship begins with one clear objective.

See where TieUp.ai
could create alignment.

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