LO
Sales / account manager — tasks, one by one
The unit of analysis is the task, not the job title. Each one below carries its direction, whether the judgement rests on evidence or on platform inference, the reasoning, and what it does not establish.
Every task on this page#
Working out who is worth your time
Automating✓ Evidence-backedReading the enquiry, the company and the person behind it, and deciding whether this is a real budget with a real date or someone collecting quotes.
Pulling together what is publicly known about a company and a contact, and drafting a first read on fit, is exactly the retrieval-and-summarise work that general models crossed the professional-usability threshold on. The judgement of whether to chase is not automated; the two hours of reading that used to precede it largely are.
Faster qualification is not more deals. It changes where the hours go, not whether the customer buys — and a rep who now qualifies three times as many leads is being measured on a bigger number with the same closing skill behind it.
Putting the price and the proposal together
Automating✓ Evidence-backedGathering supplier prices, assembling options, writing the proposal, and getting it back to the customer before they lose interest.
Reading quotes out of emails and attachments into structured fields, then assembling a document from them, is document extraction plus drafting — two capabilities that have been commercially usable for years and are now cheap enough to run on every enquiry rather than the big ones.
What automates is assembling the quote, not deciding the number. Where the margin is set by judgement about this customer and this competitor, the document gets faster and the decision does not move — and the decision is where the money is.
Chasing, on time, every time
Being augmented≈ Platform inferenceKnowing who has gone quiet, who to call today, what was promised last time, and getting back to them before the deal goes cold.
The system can rank who to contact and draft the message; a person still has to make the call and own what is said in it. This is the clearest augmenting case in the role — the work does not leave, it stops being forgotten.
Remembering is not persuading. A perfect follow-up list raises the floor for a disorganised rep and does almost nothing for a good one — so it compresses the gap between reps rather than replacing any of them, and that changes who gets hired, not how many.
The conversation where it is decided
Still human-led✓ Evidence-backedHearing the objection under the objection, knowing when to hold the price, when to walk, and being the person the customer calls when something goes wrong.
The binding constraint is not language, it is accountability: a concession has to be authorised by someone who can be held to it, and a customer who has been let down is buying reassurance from a person, not an answer. Every published rollback we carry in customer-facing automation has this shape.
Being the hardest part to automate does not make it the biggest part of the day. In most SME sales roles this is a few hours a week sitting on top of many hours of assembly and chasing — so a role can shrink substantially while its irreplaceable core stays exactly where it is.
Telling the boss what will land
Being augmented≈ Platform inferenceKeeping the pipeline honest, saying which deals will close this month, and being wrong in a way the company can plan around.
Pattern-matching past deals against the current pipeline is what these systems are good at, and it removes the rep's incentive to flatter the number. What it cannot supply is the private fact — the customer's budget moved, the champion left — which only reaches the model if the rep types it in.
A better forecast changes what management does, not what the customer does. It can also make a rep's month look worse without their work being worse, which is a management problem dressed up as a data problem.
Running the machine that now sells with you
New task≈ Platform inferenceChecking what the assistant drafted before it goes out, correcting the price it suggested, feeding back what actually closed, and catching the confident mistake before the customer sees it.
Once drafting and pricing suggestions are in the flow, someone has to own what goes out under the company's name. This is new work created by the automation — it did not exist in the role three years ago, and nobody is assigned to it by default.
New duties are not new headcount. This lands on the reps who are already there, usually without a title change and without coming off their number — which is how a role gets heavier while looking unchanged on the org chart.