5 units requested. Company invoice enquiry. 2 units requested for another city.
Missing: product, delivery cities and full addresses.
AI integration grounded in your company’s knowledge. It answers with sources, asks for missing details and passes the request to your team.
Example view · demo data
See how an assistant could collect a customer request, hand it to your team and prepare a draft for approval.
The conversation will appear here as a structured request.
5 units requested. Company invoice enquiry. 2 units requested for another city.
Missing: product, delivery cities and full addresses.
Still needed: full addresses and invoice details. The business must confirm invoicing availability.
Still needed: full addresses and invoice details. The business must confirm invoicing availability.
No order, invoice or shipment has been created.
A planned workflow, not a live integration. Product, stock, invoicing and shipping connections are scoped per business. This demo sends no data.
Plan this workflow for your businessMove to the next one as your needs grow.
Answers customer questions and asks for what is missing. A request is not passed on until the date, time and address are complete.
Turns incoming emails into requests, checks stock and drafts the quote. The quote is not sent until your team approves it.
Answers your team’s questions from company documents and shows the source. Runs on your own server or a private cloud.
Pricing in English: our step-by-step pricing tool is in Turkish. Use “Plan your assistant” or any package link above and we will reply with an English quote by email. Every package starts with a small pilot. Pricing: initial setup + monthly support + a usage allowance; integration, model and infrastructure costs are itemised.

Understand the task first, then choose the level of customisation.
Answers grounded in your services and authorised documents.
Good examples, brand language and approval rules.
Task-specific tuning with authorised examples, measured in a small pilot first.
Connecting knowledge is different from training a model. Fine-tuning is a separate service involving dataset preparation, evaluation, training and maintenance.
Start with your needs. Build on what works. The task, data sensitivity and existing systems decide the package, not company size. We start with a one-task pilot.
Agree the documents, user access and responsibility for keeping sources current.
Select a suitable model provider and retrieval approach for the task, and design source references.
Check answer accuracy, source alignment, latency and cost with example questions; set usage and budget limits.
Agree the model, sources, permissions and usage allowance. Sending email, confirming orders and changing stock need separate approval.

Choose one recurring task for our first conversation. Define a small pilot together and evaluate answer quality, staff time and usage costs.
Discuss an AI pilotNolien AI is an assistant and integration offering. Existing model APIs can be combined with retrieval of authorised company information at answer time. That is different from training a foundation model.
Task-specific fine-tuning can be assessed with a suitable model, high-quality authorised examples and a clear task. First try source-grounded answers and adaptation through good examples. If training is justified, dataset preparation, a small pilot and before/after evaluation are scoped separately.
Not in the initial scope. It may prepare drafts; pricing, sending and consequential external actions remain under human control.
Data flows, provider terms, access roles and retention are agreed before the pilot. Only suitable authorised content is used; unverified provider or infrastructure security claims are not made.
Yes. The Assistant can answer questions from authorised business information for customers or staff. Operations adds connections such as email, stock and task tracking. Enterprise addresses infrastructure, access management and data-control requirements.
Tell us what you do, what needs to improve and what you already have. We will clarify the scope before proposing a solution.