Lead discovery & inquiry handling

Better direction. Better conversations.

Two instruction-based systems for different moments in the client journey: identifying relevant opportunities and responding thoughtfully when an inquiry arrives.

AI-agent instruction module / v2.0

AXIOM Client Acquisition & Work Discovery Engine

Give opportunity research a defined target and process.

A 2,135-line instruction module that directs an AI agent through finding and qualifying potential work for Dingir Prime Labs. It structures the search around suitable commercial relationships and the steps toward a client conversation.

What it includes

  • A structured opportunity-discovery process
  • Lead qualification and commercial-fit instructions
  • Guidance for moving relevant opportunities toward a conversation

Relevant when your research needs a clearer definition of a suitable prospect. Results still depend on the available information, outreach, and buyer response.

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ChatGPT Project instruction system

Dingir Prime Inbound Engine

Assess an inquiry before deciding how to respond.

A compact ChatGPT Project instruction system that recognizes and scores supplied inbound inquiries, then drafts replies. It combines lead assessment, reply-only controls, offer guidance, and boundaries for regulated topics.

What it includes

  • Inquiry recognition and scoring rules
  • Controlled vocabulary and reply drafting
  • Offer guidance and sensitive-domain safeguards

Relevant when client inquiries need more consistent assessment and responses. It works with inquiries supplied to the project rather than serving as an automatic inbox connection.

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These project summaries describe the scope and deliverables recorded in our systems portfolio. Detailed materials are shared during qualified discussions, with proprietary methods and client information protected.