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As of 13 August 2026, AI can prioritise your demo follow-ups.
Most people should hand this to a purpose-built tool.
Can you do it?
5 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsNo cost figure for a colleague or sales manager reviewing the same CRM and call notes is supplied in the available data.
If this goes wrong: you spend time on a low-probability lead while a stronger opportunity waits and goes cold.
What to actually do
Use a tool built for this
The route this page recommends
Do it yourself
Second choiceA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open your CRM and export the open opportunities that have had a demo, including the contact, company, deal stage, value if recorded, last activity, promised next step, follow-up date and owner.
- Gather the notes or transcript summaries for each demo from your meeting tool, such as Fathom, Fireflies or tl;dv, and remove records you are not authorised to share.
- Add your team’s actual prioritisation rules, such as an agreed follow-up deadline, target customer type, sales stage definitions and any service-level commitments.
- Paste the prompt and the CRM records into a chatbot, then paste the matching demo notes underneath each record or in a clearly labelled notes section.
- Check the ranked reasons and proposed actions against the CRM, demo notes and your current pipeline before changing any task or sending any message.
- Resolve missing or conflicting information with the account owner, then create or reorder the follow-up tasks in your CRM and record the reason for any override.
Prompt
Prioritise the demo follow-ups below for a UK sales team. Use only the information provided and do not invent facts, intent, budgets, dates or decision-makers. For each opportunity, assess: 1. Evidence of active buying intent 2. Time sensitivity or a promised next step 3. Commercial importance, using the deal value only if supplied 4. Risk of the opportunity going cold 5. Ease and likely impact of the next action Return: - A ranked list from first to last - A recommended action for each opportunity - The reason for its position in no more than two sentences - Any missing information that could materially change the ranking - A separate list of opportunities that need human judgement before prioritisation Do not write follow-up emails. Do not treat a polite response, meeting attendance or generic interest as proof of purchase intent. If two opportunities are too close to rank reliably, mark them as a tie and explain what would resolve it. Current date: [YYYY-MM-DD] Sales priorities or rules: [PASTE YOUR TEAM’S PRIORITIES] Opportunity data and CRM export: [PASTE THE RECORDS] Demo notes or transcript summaries: [PASTE THE NOTES]
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
Hand it to a person
The distant thirdA person who owns the outcome does this end to end, worth it when the failure is dear.
What it gets wrong
- AI cannot know that a prospect who sounded positive has no internal budget or authority unless the evidence is in the supplied records.
- AI cannot reliably resolve conflicting signals, such as a high-value deal with no agreed next step versus a smaller deal with a firm buying date.
- AI cannot take responsibility for the commercial consequences of delaying the wrong opportunity.
- AI cannot replace an account owner’s knowledge of relationships, politics and commitments that are absent from the CRM.
- AI can rank stale or incomplete records precisely, so the apparent order may reflect data quality rather than opportunity quality.
Even on a YES, the friction has a name: 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.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 8 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can AI tell me which sales leads to follow up first?
- Yes, if you give it current CRM data, demo notes, buying timescales and your team’s priorities. Treat the result as a ranked recommendation, then check the evidence and adjust it for relationship context or information missing from the records.
- Can ChatGPT prioritise my demo follow-ups?
- Yes. A chatbot can rank the opportunities and explain the reasons, but it will not know information that is absent from your CRM or notes, so do not accept the order without checking the source records.
- What information does AI need to prioritise sales follow-ups?
- Give it the opportunity stage, value if recorded, last contact, promised next step, follow-up date, buying timescale, customer need and relevant demo notes. Also provide the sales rules that matter to your team, otherwise it may optimise for the wrong priority.
- Should I let AI decide which prospects to contact first?
- Let it make the first ranking, not the final decision. You remain responsible for checking urgent commitments, relationship context, data quality and the likely consequence of delaying each opportunity.
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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