Skip to content

Blog · Published · Updated

Equipment for customer trials: a custom workflow?

Short answer

A demo equipment system links a salesperson's booking to where a specific unit actually is, so sales does not promise to ship a device that has not come back yet. First check the rental module in your current system, and build your own app when bookings in the CRM and warehouse stock drift apart.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

Sales and AI: statistics 2026

2.5 mo.

payback of €3,000 at 200 demo unit shipments a month: €1,745 of work today, €525 with checking and the model. Scenario.

Figures checked: 22 October 2026

The flow of a demo unit
  1. 01Bookingthe salesperson and the date at the client
  2. 02Unitserial number and location
  3. 03Returnplanned and actual
  4. 04Next shipmentafter the return is confirmed

An extended demo affects the next one

Say a client has asked to try a device for longer. The account manager agreed to discuss an extension, but the warehouse still sees the original date. A second salesperson is planning a demo of the same unit. They need to know whether they can really promise to ship it, and the person running the first demo should see whose work the delay makes harder.

In the proposed flow, the extension request appears next to the loan and the next booking. The coordinator can agree a date with both people or point to another available unit. After confirmation, the warehouse gets the updated plan. When the equipment comes back, an employee records the receipt and passes it on to the usual preparation for the next demo.

This distinction matters in practice: an agreed return date helps with planning, and only the warehouse record confirms that the device has come back. The company decides who, after receipt, declares it ready for further use. The portal can show this information to the salesperson without replacing the employee's judgement.

The rental module before your own sales demo equipment app

Rental modules in sales systems handle physical products on loan, including planning, pick-up and return locations and serial number tracking. The settings available depend on the modules installed. The module is worth checking for equipment handed to clients on trial, too.

With a small pool of equipment, a shared register and one person coordinating dates may be enough. A ready module is a strong candidate when it handles units, bookings and extensions in a way sales understands. Before building anything, walk through overlapping demos in it. The name of a feature does not show whether the second person will hear about the delay.

An integration is justified when the warehouse module works well, but the booking starts in the CRM and has to be retyped. Your own app can cover exactly the contact between the salesperson and the coordinator, while the records stay in the warehouse system. You do not need to rebuild invoicing or the other functions of a rental system if the company does not need them.

What to bring over from the old register

At launch, what matters most is the devices currently at clients and the confirmed next bookings. You need to keep the contact person, the unit and the current agreement on its return. Past demos can stay in the archive, as long as the team can find them.

The maintenance offer should make clear who explains a date change that shows in the CRM and not in the warehouse. Also agree on exporting a device's history, access to the code and documentation, and the terms for another company taking over support. Your own solution still needs user help and upkeep of the connections.

Talk to Syntalith about the flow of demo equipment. Describe the last time a demo was extended and how the next recipient was settled. That lets you compare configuring the module, an integration and your own app on the work salespeople actually do. A custom app at Syntalith starts from €3,000 net (pricing).

What a demo equipment system costs and when it pays back

Scenario: 200 demo unit shipments a month
Today
200 demo unit shipments × 15 min = 50 h × €34.90 = €1,745
With the system, a person checks the output in 30% of the time
€524
Model, 1 call per case, Claude Sonnet 5.5
€1
Cost of one case
€8.73 today, €2.63 with the system
Saving
€1,220 a month

Payback of €3,000

2.5 months

The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 2,000 input tokens and 200 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro.

What we measure in the trial
  • Time from receiving a case to the result, before and after the change
  • Cases the app passed to a person
  • Corrections by the person checking
  • Model and maintenance cost at the target volume

Where to start

In the free process review we choose one process and count the team's volume and working time, and within 2 working days you get a written summary with a price. We build as part of AI apps, and we price maintenance separately.

Worked example · Scenario

How we count the payback: demo units

We run the same count for your sales team in the free process review.

€3,490

a month for quoting 150 enquiries by hand

Payback: 1 mo.

40 minutes to quote a request and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: reading the enquiry in our quoting system (about €0.0008) plus pricing the lines (Claude Sonnet 5.5, about 4,000 + 1,500 tokens), at the ECB rate of 1.1205 USD per euro on 22 October 2026. The extra margin is a scenario: we assume 1 in 40 enquiries quoted the same day ends in an order that a slow reply loses today, with a margin of €344. In the review we count it on your sales process.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

When an off-the-shelf tool does not fit, we build your own.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 25, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

Custom AI apps

When an off-the-shelf tool does not fit, we build your own.

We build an application with a language model for the work of your team: searching the company's knowledge, case panel or portal. We check the validity of your documents before launch, and the code stays with you.

See AI applications →
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

Questions

  • Why use a demo equipment system?

    So that the salesperson's booking, the unit's location and the planned return sit in one place, and an extended demo shows its effect on the next shipment at once.

  • Can the rental module in our system handle it?

    Often, yes: rental modules plan units with serial numbers, pick-ups and returns. An app makes sense when bookings live in the CRM and stock lives in the warehouse system.

  • How much does it cost?

    At Syntalith apps, automations and AI agents start from €3,000 net. At 200 demo unit shipments a month of 15 minutes each, the payback is 2.5 months.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.