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SELL / WORKFLOW

From new lead to qualified opportunity

Research a new lead, compare it with your ideal customer profile, verify the result, and update the CRM with a clear next action.

The problem

A lead arrives with too little context. Someone has to research the company, check fit, write notes, update the CRM, and decide what happens next.

The current manual process

A seller opens several tabs, copies facts into a document, makes a judgment, and manually moves the result into the CRM. The process varies by person and the evidence is easy to lose.

The workflow

  1. 01Receive the lead and existing CRM context.
  2. 02Research the company and gather useful public signals.
  3. 03Compare the account with the ideal customer profile.
  4. 04Verify required fields, confidence, and business rules.
  5. 05Pause for human approval when the fit or consequence is unclear.
  6. 06Save the score, sources, notes, and next action in the CRM.

Where AI and people fit

Where AI helps

AI gathers context, summarizes sources, and prepares a qualification recommendation. It does not silently invent evidence or make a consequential decision outside its authority.

Where a human approves

A person reviews low-confidence matches, sensitive accounts, or any action that sends a message or changes an important record.

Tools involved

  • CRM
  • Approved web research
  • Company knowledge
  • Email or messaging

Expected outcome

A consistent qualification process with sources, ownership, and a next action saved where the sales team works.

Known limitations

Public information can be incomplete or out of date. Fit scoring is a recommendation and should not replace seller judgment.

Run it in Operic

Start by mapping the inputs, owner, tools, authority, and finish line. Build the AI and software steps around that process, run it on real work, and prove the result before making it a repeatable system.

Build this workflow around your business.

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