Real use cases

See the engine running.

Ten examples, built and run inside real sales organizations, no slides. I'll walk you through them in a call. If you own a revenue number, pick the one that would move it. And if your bottleneck isn't here, that's exactly what the call is for.

A · Signals and prospecting

Meetings from real buying signals

A1
Conversation signals for cross-sell

Lead acquisition cost ≈ €0. The buying signal is already given and the account already exists, so cross-sell is the cheapest channel in the house, and it would otherwise never happen.

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What does it do?

Mines CRM conversations and AI notetaker transcripts and surfaces where a customer has already voiced a need that was never carried forward. The output is a cross-sell list: who said what, to whom, when.

Who does it help?

The account rep, who gets a ready lead from their own customers, and sales leadership, which sees the growth headroom in the current base.

A2
Signal-based prospecting

From a chosen prospect to a booked conversation in five days, at a 35 % hit rate, consistently. The rep's time doesn't burn on the wrong names.

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What does it do?

Replaces the demographic list with buying signals, for example role changes and hiring as change and investment data. These land straight on the SDR's task list with a ready opener and a personalised pitch, and the opener is taken to a conversation on a five-day multichannel cadence.

Who does it help?

The rep and SDR, for whom booking becomes predictable, and sales leadership, which gets a scalable way to fill the pipe.

A3
Outreach with the right angle, from the right person

A warm reference angle, sent by the person with the strongest relationship, multiplies the reply rate versus a cold opener from a random rep. Built on a base of 550+ expert references.

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What does it do?

For each opener the system surfaces the best-fit reference (same problem, industry, measured results) and routes the task to the person with the strongest relationship or best way in. Hard-to-reach buyers (C-level) get their own mechanic: peer intros and executive-level touches.

Who does it help?

The rep, who gets a sharper opener and the targets they have the best shot at, the new rep, who reaches the whole firm’s references from day one, and sales leadership, which allocates effort right.

B · Conversations into data and action

Every conversation becomes data and next actions

B1
Conversations into memos and structured data

CRM coverage rises toward 100 % and the rep gets back hours a week of data entry. The data is current, so forecast and picture improve.

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What does it do?

Customer conversations are turned automatically into memos and structured data: who, what, what was decided, next step, and written to the CRM. This is the fuel for the whole engine.

Who does it help?

The rep, who loses the data-entry chore, sales leadership, which gets reliable data, and every other layer that reads this data.

B2
Automatic meeting preparation

Meeting prep drops from an hour to minutes, and the rep looks professional: no repeating conversations already had, the meeting moves forward.

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What does it do?

Before the meeting it pulls together what's been discussed with the customer elsewhere in the org and drafts a fresh agenda from it. The agenda is sent ahead, so the customer commits to the content before the meeting.

Who does it help?

The rep, whose prep shrinks to minutes, the customer, who gets a better experience, and KAM teams, who speak with one voice.

B3
Open questions into thought-leadership content

The topic bank fills itself from the field's real questions. Content hits what's nagging customers right now, and a market pulse forms as a by-product.

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What does it do?

Recurring open questions are pulled from conversations and turned into thought-leadership topics and posts.

Who does it help?

The content creator and marketing, who get a ready topic bank, and the chief or expert who builds credible thought leadership with little effort.

C · Relationships and references

Referrals become a channel, not luck

C1
Automating referral generation

A referral books a conversation at a 50–80 % hit rate, and a referral-sourced case is won about 4× more often than others. The most effective channel in sales gets done every time, not at random.

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What does it do?

Satisfied customers are mined systematically and referral requests are timed to the right moment and person, not as random asks. Automation frees the rep to talk, not to ask for referrals.

Who does it help?

The rep, who gets warm leads at high conversion, and sales leadership, for whom referrals become a predictable channel.

D · Scoring, leadership and next action

A live picture and the next best move

D1
MEDDIC scoring and deal sparring

Opportunity → closed won 30 % → 39 % while volume grew. The forecast holds because gaps show up in time, not in closing week.

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What does it do?

Active deals are scored with MEDDIC and a weekly report is produced as the basis for sparring: where the gaps are, which deals are ripening, where the next move goes.

Who does it help?

Sales leadership, which gets a reliable forecast and a better coaching base, and the rep, who sees what's still missing in the deal.

D2
Picture and next-best-action dashboard

The sales cycle shortens when the next action isn't left to guesswork. The team leads at the numbers, not from memory or on a quarterly lag.

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What does it do?

The team and company picture is made open (hit rate, sales cycle, activities, outcomes). The next layer turns the picture into recommendations: the dashboard proposes what to do next per deal and per rep.

Who does it help?

Sales leadership, which steers in real time, and the rep, who gets a clear next action instead of guesswork.

D3
Account plan: the AE's co-pilot

Share of wallet grows when every untapped capability and key person is visible: you stop leaving on the table what the customer would already buy. The account exec stays continuously on top of where the account is heading.

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What does it do?

AI maintains a living account plan: it connects the customer's strategy, financials and news to our own strengths, gathers every deal, contacts by business area and recent events, and surfaces the untapped areas and the key people with no meeting booked, each with a ready angle grounded in CRM data, a won deal, or the customer's strategic priority. It recommends the next moves and shows clearly where the account is going.

Who does it help?

The account exec, for whom the plan acts as a co-pilot, and sales leadership, which sees the foothold and growth headroom in every key account at a glance.

A smaller way to start

First Agents

Pick 1–2 from the ten above. I build them, run them inside your routines, and we look at the data together to decide what's next.

Start with 1–2 → Starting from €7,500 · one-time, depending on scope · no retainer

Pick one. Let's talk through how it gets built at your place.

45 minutes, no commitment. Tell me which number needs to move, and I'll walk you through how it gets built and rolled out in your setup.