A familiar picture from process reviews: the sales team's CRM holds 340 open deals. In 190 of them the "next step" field is empty. For a third of them the last comment is three weeks old, and it reads "customer is thinking." The manager spends the Monday stand-up interrogating everyone about what is really going on with the big deals. At AISOL we have seen this scene in distribution, in B2B services, in private healthcare. Different companies, one diagnosis: the CRM is kept for reporting, while the actual selling lives in notebooks and in the reps' heads.
Why reps don't fill in the CRM – and why you can hardly blame them
The arithmetic is simple. An active rep makes 25–30 calls a day. Logging the outcome of a single conversation honestly takes 4–6 minutes: what was discussed, which objections came up, what was promised to the customer, when the next touch is due. Multiply it out and you get 2–2.5 hours of pure typing every day. Over a month that is 40–50 hours, a quarter of their working time.
The rep chooses between "calling" and "typing." The bonus is paid for the first. They are right.
Then a chain reaction sets in: the records are empty, so the pipeline lies, so the forecast doesn't add up, so the manager tightens the rules, so the reps write throwaway notes like "call, ok." Fines for an empty CRM produce tidy throwaway notes, but they don't produce data. The circle closes.
If the content of a conversation is already recorded inside the conversation itself, a human should not be retyping it by hand. That is the platform's job.
Parsing every call – without the rep lifting a finger
The platform connects to your telephony and CRM: over an API, and if the system is closed, through its interface, the way an employee would. We describe the connection options in the integrations section. From then on, the same thing happens with every conversation:
- a transcript – Kazakh and Russian are recognized with equal confidence, including switches from one language to the other inside a single phrase;
- a five-to-seven-line summary instead of fourteen minutes of review;
- fact extraction: budget, timelines, who makes the decision, which objections came up;
- the record fields filled in and the deal moved to the right stage;
- a task for the next touch – with the exact date the rep named to the customer out loud.
A mini-scenario. 16:42 – the rep finishes a call with a buyer, 14 minutes. 16:45 – the record already reads: budget 4.8 million ₸, decision after the 15th, the customer is uneasy about a six-week delivery lead time, a competitor promises four. The task "send a recalculation with a four-week delivery" is scheduled for tomorrow at 10:00. In that time the rep typed not a single word: they are already dialing the next number.
Cooling deals and follow-up that doesn't get forgotten
Across our reviews, 30–40% of lost deals die not from price but from silence: the customer said "let me think," the rep made a mental note and drowned in new leads. A month later the customer bought from whoever called back on time.
The platform keeps simple rules. Three days with no movement on a deal, and the rep gets a reminder with a ready-made email draft assembled from the context of the correspondence and the last call. Seven days, and the deal rises into the manager's morning summary. The draft is edited in a minute rather than composed over half an hour, so the follow-up actually goes out instead of staying on the "someday" list.
A typical case from a review: wholesale trade, average deal 6–9 million ₸, sales cycle a month and a half. The very first pass over the database found 84 deals sitting untouched for more than two weeks. Not lost – forgotten. Half of them were put back into play within a week; three closed in the same month.
Scripts: control over 100% of calls instead of a sampled 5%
A head of sales can physically listen to three to five calls a day – that is 3–5% of the flow. The platform parses one hundred percent: were the script stages covered, was the budget clarified, was the next step scheduled, how well was the price objection handled.
The point is not checking for the sake of a checkmark. The point is the statistics: one rep consistently falls short on needs discovery, another ends 60% of conversations with no agreement on a next step. That is a ready-made training plan for each individual instead of a generic "sell better" workshop. A side effect that managers note: with reviews like these, a new hire reaches target a month to a month and a half sooner than usual.
A pipeline you can trust
By 9:00 the manager gets a summary: what moved yesterday, which deals stalled, where the amount in the record diverges from what the customer said out loud. This is not a report the team painted on Friday evening. It is a cross-section of the actual calls and emails over the past day.
The sales forecast stops being a genre of optimistic fiction: it is built on recorded agreements rather than on the reps' self-assessment. The gap between plan and actual becomes visible weeks before the quarter ends, while there is still time to do something about it.
| Task | By hand | With the platform |
|---|---|---|
| Call outcome in the CRM | 4–6 minutes per call | automatic, a minute to check |
| Quality control of conversations | 3–5% sampled | 100% of calls |
| Follow-up after "let me think" | from the rep's memory | a draft by rule on the third day |
| Pipeline summary | half a day of the head of sales on Friday | every morning by 9:00 |
What it delivers in numbers
8 reps × 2 hours of data entry per day × 21 working days = 336 hours a month, returned to calls and meetings.
336 hours is one and a half "virtual" reps with no hiring, training, or workstation. The second part of the effect is conversion: timely follow-up usually adds 5–10 percentage points to the transition from "thinking" to contract. How to add both parts honestly and not overcount in your own favor is something we worked through in the payback calculation framework.
What stays with people
The platform does not call customers instead of the rep and does not pressure them with mass mailings. Negotiation, bargaining, relationships, tough objections – that is still the salesperson's work. The automation takes over what a salesperson should not be doing: retyping, reminders, reports. External actions have checkpoints: an email to a customer goes out after the rep confirms it, not on its own.
Where to start
Not with an overhaul of the CRM and not with a six-month project. For a prototype, 20–30 call recordings and a deals export for two or three months are enough. We tune the parsing to your specifics in about a week – free of charge – and show the result on your calls, not on demo data. A production rollout takes from 8 weeks; the platform subscription is from 12 million ₸ a year. The full scenario is described on the sales solution page, and you can discuss your own process through contacts.
Frequently asked questions
Will reps object to AI parsing their calls?
For the first two weeks there is almost always some wariness. Then reps notice that they have stopped typing for two hours a day, and that the reviews are used for training, not for punishment. In our experience, within a month the strong salespeople are the first to ask for their correspondence to be parsed too.
We have a custom CRM with no documentation. Will it work?
Yes. If the system has an API, we connect directly. If not, the agent works with it through the interface: it opens a record, enters data, checks the result, the way an employee would. Whether it works on your system is verified in the very first week of the prototype.
Calls come in two languages mixed together. Is that a problem?
No. The platform works with Kazakh and Russian at a native-speaker level and calmly parses conversations where the participants switch between languages within a single sentence. The summary and record fields are filled in the language your CRM uses.