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HumanTaskAPI

Industry workflow

Human Tasks for Enterprise

Use HumanTask API for global real-world task execution with API access, verification and structured results. Connect AI workflows to verified humans in the physical world.

How the workflow runs

  1. Business system
  2. Physical exception
  3. HumanTask API
  4. Human executes
  5. Evidence returns

Why Enterprise Needs Human Execution

Enterprise is a strong fit for a human execution layer because large organizations accumulate small physical exceptions across markets that are expensive to solve with internal travel. AI can identify the exception, but a person may still need to see, measure, collect or interact with something offline.

High-Value Enterprise Workflows

A practical Enterprise rollout can start with multi-location audits, field data collection, property or retail checks, remote hands, and custom standardized task programs. These tasks are narrow enough for programmatic dispatch and valuable enough to replace unnecessary internal travel.

Tasks to standardize first

  • Multi-location audits
  • Field data collection
  • Property or retail checks
  • Remote hands
  • Custom standardized task programs

Evidence, Not Outsourced Judgment

The field worker should collect facts; the Enterprise organization should keep the final decision. This is especially important when evidence feeds financial, compliance or expert workflows.

Business Case and KPIs

The reason to scale is not task volume by itself. It is a reusable human-execution layer across business units and geographies. Completion quality and the cost of the old process belong in the same comparison.

API and MCP Integration

Integration choice depends on orchestration. Deterministic Enterprise systems can call REST directly; agentic workflows can expose the same capabilities through MCP without changing the underlying task model.

Rollout Strategy

Start with one template in one geography. Review every failed or revised task, fix the instructions and only then expand. Standardization before scale is more important than launching every Enterprise capability at once.

SEO and First-Party Data

The SEO page should become stronger with sector-specific first-party data: anonymized task examples, real evidence patterns and observed demand. Generic industry copy is only the launch layer.

Example Enterprise Workflow

A enterprise system detects a case that requires multi-location audits. It creates a standardized task only for that exception, receives structured evidence and stores the result with the original record. Repetition turns the field step into reusable infrastructure.

Start with One Use Case

Choose a task your team already solves manually, define its acceptance criteria and compare the new process against the current cost and delay.

Enterprise Workflow Playbook

Multi-Location Audits

For Enterprise, multi-location audits should be written as a repeatable task template with a trigger, location, worker instruction and evidence requirement. The task should end at the point where observable field work ends; any sector-specific interpretation stays inside the requesting organization or its AI system. That boundary makes the same template easier to execute across different workers and cities.

Field Data Collection

For Enterprise, field data collection should be written as a repeatable task template with a trigger, location, worker instruction and evidence requirement. The task should end at the point where observable field work ends; any sector-specific interpretation stays inside the requesting organization or its AI system. That boundary makes the same template easier to execute across different workers and cities.

Property Or Retail Checks

For Enterprise, property or retail checks should be written as a repeatable task template with a trigger, location, worker instruction and evidence requirement. The task should end at the point where observable field work ends; any sector-specific interpretation stays inside the requesting organization or its AI system. That boundary makes the same template easier to execute across different workers and cities.

Remote Hands

For Enterprise, remote hands should be written as a repeatable task template with a trigger, location, worker instruction and evidence requirement. The task should end at the point where observable field work ends; any sector-specific interpretation stays inside the requesting organization or its AI system. That boundary makes the same template easier to execute across different workers and cities.

Custom Standardized Task Programs

For Enterprise, custom standardized task programs should be written as a repeatable task template with a trigger, location, worker instruction and evidence requirement. The task should end at the point where observable field work ends; any sector-specific interpretation stays inside the requesting organization or its AI system. That boundary makes the same template easier to execute across different workers and cities.

From Pilot to Standard Operating Procedure

After the first Enterprise tasks, review which instructions caused questions, which evidence fields were missing and which exception states occurred. Update the template before increasing volume. When the workflow becomes predictable, it can be triggered automatically from the existing business system and reused across locations without recreating a manual coordination process each time.

Frequently asked questions

What enterprise workflows fit HumanTask API?

Good candidates include multi-location audits, field data collection, property or retail checks, remote hands, and custom standardized task programs. They work because completion can be described and checked.

What should stay inside the enterprise team?

Policy decisions, expert conclusions and proprietary business judgment should remain with the requester; the field worker should collect the facts or perform the bounded action.

How do we measure whether the workflow is worth using?

A useful business outcome is a reusable human-execution layer across business units and geographies. Compare that outcome with the cost and delay of the current manual process.

Can enterprise systems create tasks automatically?

Yes. REST can integrate with conventional applications, while MCP can expose the same execution step to AI agents.

Should we launch the workflow in every market immediately?

No. Prove one repeatable task and evidence schema first, then expand geography after completion quality is stable.

Next step

Put a human on it.

Describe the place, the action and the proof you need. The API and MCP integration are in developer preview.