Sleak
Industry · Industrial & Manufacturing

The spec sheet no longer wins the deal.

Your engineering is world class, and your customers know it. So does the cheaper competitor in the same tender. Today your margin is decided in conversations: the price-increase call under cost pressure, the defense of a premium product against an import, the launch pitch that has to land across a distributed field force. Meanwhile, decades of product knowledge sit in the heads of a generation that is starting to retire. Sleak makes sure the people running those conversations are ready before they walk in.

Sleak is an AI Coach for the commercial teams of industrial companies: field sales, key account managers, procurement, and team leads. Your people prove their product knowledge in dialogue with the Knowledge Coach and rehearse the conversations that decide margin — price increases, premium defense, supplier negotiations — in realistic voice-based AI-Roleplays, scored against your own Standard of Excellence. DSGVO-konform, EU data residency, private practice by default.

The conversations that decide your year

Five conversations move more margin than any spec ever will. You know each one by name.

  • The price-increase call. Costs went up, the increase is justified, and the rep is calling a key account he has served for fifteen years. He starts apologizing in the second sentence and gives half of it away before the buyer even pushes back.
  • The premium defense. A cheaper import is on the table and the buyer calls it "good enough". Your rep knows it is not. Turning that knowledge into a price the customer accepts is a different skill.
  • The launch pitch. A new product line goes to a field force spread across regions. Six months later, every rep is still pitching it their own way, and some not at all.
  • The supplier negotiation. On the procurement side, raw material volatility lands on one buyer's ability to hold terms against a dominant supplier.
  • The feedback conversation. A team lead keeps postponing a hard conversation with a veteran shift leader, because nobody ever showed them how to have it.

None of these can be improvised. All of them are.

Why the usual fix does not stick

You already invest in training. The problem is the shape of it: one classroom day a year cannot carry a distributed field force, and nobody rereads a product PDF the night before a negotiation.

One seminar day a year, forgotten by spring
Short Sessions between customer visits, all year
Product PDFs nobody opens
Knowledge Coach verifies understanding in dialogue
Ride-alongs with whoever has time
Every rep measured against the same Standard of Excellence
First rehearsal happens on a real customer
Realistic practice on the AI, not on the key account
Veterans run on routine, then retire with the knowledge
Their know-how captured in the Knowledge Repository and coached to the next generation

One AI Coach, three Initiatives

Sleak works in two modes: the Knowledge Coach builds and verifies what your people must know, and AI-Roleplays rehearse what they must be able to do, evaluated against a Scorecard you define. Industrial companies typically start with one of three Initiatives.

Product launch readiness

Before the new line ships, every rep proves comprehension in dialogue, then rehearses the pitch.

Training Scenarios include: pitch the new line to a long-standing distributor who was happy with the old one, and handle "why should I switch" from a skeptical key account.

Pricing and negotiation discipline

Sales rehearses holding price; procurement rehearses the other side of the table.

Training Scenarios include: announce a price increase to a long-standing key account and hold it, and defend a premium product against a cheaper competitor's quote.

Leadership and feedback capability

Team leads practice the conversations they avoid.

Training Scenario: give a veteran shift leader critical feedback he does not see coming, and keep him on side.

Each Initiative runs as a Development Program, and leadership sees aggregate progress against the Scorecard, not recordings of individuals.

A field sales conversation at an industrial customer
Rehearsed on the AI, not on the key account.

Training on the customer under very realistic conditions, without burning the customer. You could forget it is an AI.

Field sales rep at a leading industrial supplier (pilot) (translated from German)

What pilot users say

Getting honest feedback with zero hassle is remarkably interesting. And the analysis, how many open questions, conversation pace, share of talking: you could never analyze a normal conversation with that precision.

Team leader at a leading industrial supplier (pilot) (translated from German)

The feedback for improvement is very helpful. It shows you how conversations can go even better and how problems can be tackled more precisely.

Sales professional at a German premium manufacturer (pilot) (translated from German)

Questions

Frequently asked questions

What commercial leaders at industrial companies want to know.

Is it a fit

No. Sleak is built for the commercial and HQ functions: field sales, key account managers, procurement, service, and team leads. Roles whose performance depends on knowledge and conversation are the fit.

The conversation. A rep can know the machine to the last tolerance and still concede margin in a price talk. Sleak verifies the knowledge, then rehearses the negotiation. It also captures veterans' know-how in the Knowledge Repository before it retires with them.

Teams & rollout

Sleak is voice-native and always available. A rep runs a Session in the car before a customer visit or rehearses a price increase the evening before the call. No classroom, no scheduling, no travel.

Yes. Supplier negotiations are rehearsed the same way as sales conversations: realistic AI-Roleplays against a virtual counterpart, scored against your negotiation standard.

Privacy & data

No. Practice is private by default. Managers see aggregate progress against the Scorecard, not individual Sessions.

Sleak is DSGVO-konform with an AVV per Art. 28, EU data residency (Frankfurt), and no customer data is used to train AI models. The underlying Azure infrastructure is ISO 27001 certified; Sleak's own certification is in preparation, expected Q3 2026. Details are on the Security page.

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