Next thing you know, a system like that sends odd emails to my customers.

That’s why the system sends nothing a person hasn’t seen, apart from the confirmation that an enquiry has been received. Everything the AI drafts is a draft in your tone, with your price list as the source.

My sales reps won’t keep that CRM up to date anyway.

That’s exactly why you shouldn’t ask them to. A thirty-second voice note or a summarised call fills the CRM. The rep only has to read and click approve.

What happens to call recordings and customer data?

Recording is only allowed if you announce it at the start and say what it’s for; the customer may listen to the recording. We process everything in an EU environment under a data processing agreement, without training on your data, and we keep it for as short a time as possible.

Does this bring in more revenue, or just less typing?

Responding faster and following up better are the two things whose effect is best proven. We don’t guarantee more revenue; we do guarantee fewer lost enquiries, and we measure that every week.

AI-driven phishing keeps getting better, including via customer contact.

True. AI-written phishing emails get clicked more than four times as often. Our rule: payment requests and bank account changes never go through email alone; the system enforces a second channel. Security remains a process, not a button.

Feature · Sales & quotes

A salesperson spends 28% of their week selling. The rest is typing, searching and “I’ll get back to you”.

Sales is a people business. Winning trust, asking the right question, knowing when to stay quiet. But between those moments sits a mountain of work that has nothing to do with selling: following up enquiries, building quotes, updating the CRM, scheduling appointments, calling back. That’s the work that makes leads evaporate. And it’s the work AI does best.

// A report from a fictional wholesaler in technical parts with two inside sales reps and three in the field, a web form and a CRM that mostly gets filled in for the monthly report. The company is fictional, the situations are real: we run into them again and again.

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Sound familiar?

The web enquiry from Friday afternoon gets called on Monday. Or Tuesday.
The quote sits for three days because only the rep on the road knows the prices.
The CRM gets updated “later”: notes live in heads, on post-its and in WhatsApp.
“Quick follow-up call” has been on the to-do list for two weeks.
Three rounds of email to schedule a single half-hour.
The rep who leaves takes the pipeline with them, in their head.
The call report never gets written; the colleague who takes over starts from zero.
Price enquiries by email are answered by the owner personally, in the evening.

What usually runs here

The software we come across here most often. It does not have to go; we build around it and in between.

HubSpot CRM, free tierPipedrive visual pipelineSalesforce heavyweight CRMTeamleader CRM, quotes, invoicesSimplicate CRM and projectsMicrosoft Dynamics 365 CRM in a Microsoft environmentExact / AFAS quotes and ordersOutlook / Teams email and calendarGoogle Workspace email and calendarCalendly / Bookings self-service schedulingLinkedIn Sales Navigator finding prospectsRinkel / Voys business calling

// the same working day, twice

A day in sales & quotes: now and next

On the left, the day as it usually runs now. On the right, the same day once the dull parts are automated and AI does the groundwork. Watch what changes: not the people, but where their time goes.

// how it goes nowWithout AI

08:30Inside salesOpens the mailbox: six web enquiries from the weekend. Two are spam, four are real. Who calls whom? First, the rest of the inbox.
10:15Field salesCalls from the car: “Can you put together that quote for Jansen? The prices are in my head, I’ll send them tonight.”
11:30Inside salesTries to schedule an appointment with a prospect: third email back and forth. Friday, maybe.
13:00Inside salesCalls Friday’s web enquiry. “Oh, we’ve ordered elsewhere in the meantime.”
15:30Field salesMeeting at a customer, 45 minutes. Notes on paper. The CRM sees none of it.
17:00OwnerSearches the email for “quote Jansen”. Finds version 2, not version 3.
20:30OwnerAnswers three price enquiries by email personally. The rest tomorrow.

// how it will goWith AI and automation

08:30Inside salesThe four real enquiries received a personal confirmation within two minutes, plus a link to pick a call slot themselves. The AI enriched them with Chamber of Commerce (KvK) data and a first assessment; the spam is gone.
10:15Field salesRecords a thirty-second voice note after the visit: what the customer wants, quantities, delivery time. Five minutes later the draft quote is ready, with prices from the price list.
11:30Inside salesThe prospect picked a slot in the calendar themselves. The invitation, the preparation and the company profile are ready.
13:00Inside salesCalls the weekend enquiries that already said “yes” to a call slot. The rest received a second message.
15:30Field salesThe conversation was summarised with consent: agreements, objections, next action. The rep reads, corrects one sentence, clicks approve. The CRM is up to date.
17:00OwnerSees in the dashboard which quotes are open, who has viewed them and which have been silent for five days. One click: reminder.
20:30OwnerThe price enquiries were answered during the day with a draft from the price list that inside sales approved. The laptop stays closed.

Where AI makes the difference here

Per use case: what the automation does, what a person keeps doing, and whether it is proven or still promising. We say which one honestly.

01proven

Every enquiry answered within minutes

Web form, email or chat: the AI confirms personally, asks two clarifying questions and offers a call slot. Spam and irrelevant enquiries are filtered out.

Still human: has the conversation and decides who gets priority.

Working more efficiently Saving time

02proven

Leads enriched and scored

Chamber of Commerce (KvK) data, website, size, sector and signals are added to the lead automatically, with a score and a reason.

Still human: decides who gets called; the score is advice, not a verdict.

Working more efficiently

03proven

A quote from a voice note

From a voice note or call notes, the AI creates a draft quote with products and prices from your price list, in your layout.

Still human: checks price, margin and terms, and sends it. Never automatically.

Saving time Handling more with fewer people

04proven

Call summary in the CRM

A phone or video call is summarised, with consent: agreements, objections, next action, and placed in the CRM.

Still human: reads and corrects; remains the owner of the relationship.

Working more efficiently

05proven

Follow-up that doesn’t get forgotten

Open quotes get automatic reminders at the right moment; you see who opened the quote and how often.

Still human: calls at the moment it matters.

Saving time

06promising

An AI salesperson that emails and calls on its own

Fully autonomous follow-up sounds attractive, but in practice it isn’t reliable enough for your brand yet. We don’t build it, except for very simple, risk-free messages.

Still human: remains the sender.

Handling more with fewer people

28%

of the working week is all a salesperson spends on selling; the rest goes on admin and meetings. [1]

23%

of businesses never respond to a web enquiry; those who respond within an hour are almost seven times more likely to get a conversation. [2]

1.65×

more likely to regret the purchase: B2B buyers who bought without a sales rep. Self-service isn’t free. [3]

Honestly: what AI does not do here

AI doesn’t close deals. Price, terms and the “yes” remain the salesperson’s; everything around them can be faster.
A score is an estimate, not the truth. A lead with 40 points can become your best customer; that’s why a person decides who gets called.
Since August 2026, chat or email messages written by an AI must be recognisable as such to the recipient. We take care of that, and it’s no problem if the message is good.
Fully automatic follow-up sounds like a win, but one wrong tone costs you a relationship. Draft by AI, sending by a person.

The objections we hear — and whether we can close them off

We looked them up and heard them from clients. For each objection we say whether it is really solvable, partly solvable, or a risk that stays and that you accept knowingly.

Can it be closed off: yes. Agreed, and we don’t. Two thirds of B2B buyers would rather buy without a sales rep, but those who do regret it far more often. We use AI before and after the conversation: answering enquiries, preparing, summarising, following up. The conversation itself stays yours.

// how we start, the first thirty days

01Week 1: core session with inside and field sales; we follow ten real enquiries from arrival to quote.
02Weeks 1 and 2: instant confirmation plus a call slot on every enquiry, connected to your current CRM.
03Weeks 2 and 3: draft quotes from voice notes, with your price list and layout.
04Weeks 3 and 4: call summaries into the CRM and automatic follow-up of open quotes.
05Week 4: measure. Response time, number of quotes followed up, time per quote. Only then move on.

// what it costs and how it works

First the free AI scan, then a core session on your floor (a half-day of 4 hours, €596 excl. VAT and travel costs) with a core report and an honest go/no-go. We build on a project basis with fixed hours: €110 per hour for straightforward work, €165 for complex development.

More hours only with your written approval. If we cannot deliver, you pay nothing for what was not delivered.

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Want to know what this means for your sales & quotes?

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