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PARTLY

As of 13 August 2026, AI can only partly route each lead to the right salesperson.

Most people should hand this to a purpose-built tool.

Can you do it?

15 minutesto a draft.

1 hourto something you’d act on.

Cost, all in£0

Skill neededpower-user

Who has to check ita colleague

What the alternative costsA CRM workflow or sales operations specialist is the alternative; no price is stated here.

If this goes wrong: a valuable lead goes to the wrong salesperson, receives a slow response or is missed altogether.

What to actually do

  1. Use a tool built for this

    The route this page recommends

  2. Hand it to a person

    Second choice

    A person who owns the outcome does this end to end, worth it when the failure is dear.

  3. Do it yourself

    The distant third

    A chat interface, power-user skill, and roughly 1 hour until you can act on the result.

    How to actually do it

    1. Open your CRM or lead spreadsheet and export a representative set of recent leads with the fields used for assignment, removing unnecessary personal data.
    2. Create a second table of salespeople showing each person’s territory, sector, product specialism, customer size, language, availability, exclusions and existing-account responsibilities.
    3. Write down the current routing rules, response targets, ownership rules, escalation queue and what should happen when two salespeople qualify for the same lead.
    4. Paste the business context, salesperson table, routing rules and anonymised lead sample into a chatbot using the supplied prompt.
    5. Compare the proposed assignments and reasons with your existing ownership records and ask the chatbot to correct any rule that does not match your written policy.
    6. Give the decision table and exception process to your CRM administrator, configure the workflow, then run historical leads and deliberately ambiguous cases through it before enabling live routing.
    7. Have a sales manager check the first live assignments against the agreed rules, record wrong or disputed routes, and update the rules rather than silently accepting repeated exceptions.

    Prompt

    Design a lead-routing method for our sales team.
    
    Business context:
    - What we sell: [brief description]
    - Our target customers: [customer types, sectors, locations and company sizes]
    - Lead sources: [website, email, events, partners or other sources]
    
    Salespeople and their permitted assignments:
    [Paste a table with salesperson name, territory, sector or product specialism, customer size, language, current availability and any exclusions.]
    
    Routing rules and constraints:
    [Paste the rules, service levels, account ownership rules, capacity limits, conflicts of interest and escalation process.]
    
    Lead records:
    [Paste a sample of anonymised leads with every available field, including source, company, location, sector, size, product interest, enquiry text, existing account owner and timestamp.]
    
    Create:
    1. A clear priority order for the routing rules.
    2. A decision table that assigns each lead to one salesperson or an escalation queue.
    3. The reason for every assignment, quoting only facts present in the lead record.
    4. A list of missing fields that prevent a reliable assignment.
    5. An exception process for ambiguous, duplicate, existing-account and out-of-territory leads.
    6. Test cases for boundary conditions and a short monitoring plan.
    
    Do not invent lead facts, salesperson availability or business rules. Do not make a confident assignment where the required information is missing. Separate deterministic rule matches from judgement-based recommendations. Return the result in a format that a CRM administrator could translate into workflow rules.

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

What it gets wrong

  • AI cannot know an informal relationship, account history or salesperson preference that is absent from the lead record.
  • It treats incomplete or ambiguous data according to the rules you provide, which may not reflect the judgement of an experienced sales manager.
  • It cannot take responsibility for lost opportunities caused by a wrong assignment or a broken CRM workflow.
  • It does not by itself connect to your CRM, maintain current availability or guarantee that every live lead reaches a person.
  • It cannot decide whether a borderline lead is strategically important without your commercial context and agreed criteria.

What caps this at PARTLY: judgement under ambiguity, context depth and stakes of error.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs2
Verification1
Liability1
Effort delta1
Total7 / 10

FAQ

Can AI automatically assign leads to salespeople?
Partly. AI can classify leads and recommend or trigger assignments when your CRM, data fields and routing rules are configured, but it cannot reliably infer missing account context or own the consequences of a wrong route.
How do I make AI route leads fairly?
Give it explicit, ordered rules covering territory, sector, product, account ownership, capacity and escalation, then test them against historical and ambiguous leads. Keep a human review route for missing data and check assignments after the workflow goes live.
Can ChatGPT route leads in my CRM?
ChatGPT can design the rules, classify pasted lead data and produce a workflow specification, but it does not automatically operate your CRM from a normal chat. A CRM administrator or supported integration must implement and monitor the routing.
What information does AI need to route a lead?
It needs the lead’s relevant location, sector, company size, product interest, source, existing account owner and enquiry details, alongside each salesperson’s territory, specialism, availability and exclusions. It also needs your priority rules and an escalation process for incomplete or conflicting information.

Nearby answers

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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