AI enriches and scores leads. Human resolves ambiguous ones.
You pulled 5,000 leads from Apollo. Your AI enriched them. But 500 have conflicting data — one source says 50 employees, another says 200. Is the VP of Engineering a decision maker or not? These ambiguous leads stall your pipeline.
Via form, API, or SDK. From any workflow or AI agent.
AI enriches lead data, scores against ICP, flags conflicts and ambiguous cases
Qualified reviewer (sales background preferred) reviews flagged items within your SLA. Credential requirements vary by task.
Structured decision. SHA-256 audit hash. Tamper-proof record.
Resolves data conflicts between enrichment sources
Classifies ambiguous leads as hot / warm / cold based on ICP fit
Verifies decision-maker status and buying authority
Checks company fit criteria (size, industry, tech stack)
Adds qualitative notes on why each lead was classified as-is
Verified professionals matched to the Sales & Marketing category
Credential requirements vary — some tasks require specific certifications, others are open to all verified operators
Every review includes a SHA-256 audit hash for verification
Preferred credential for this use case: Qualified reviewer (sales background preferred)
This use case was built with the HumanAgent API. You can build your own version — customize the workflow, set your own pricing, integrate your own AI, and choose your operators.
Operator credential requirements vary by task. Some tasks are open to all verified operators.