Less internal interruption
People get answers without waiting for the most experienced person in the company.
Product / Knowledge assistant
For teams that lose time searching documents, asking the same questions and reconstructing project or client context. The assistant can work in an internal panel, client portal or secure web application.
It can answer from offers, manuals, client documents, project notes, FAQ pages and selected application data.
We design the assistant with source previews, escalation to a person, usage logs and boundaries for sensitive topics.
The goal is not to add AI for show. The goal is to shorten work, improve consistency and give people better context before decisions.
People get answers without waiting for the most experienced person in the company.
New employees can ask about procedures, services, clients and internal rules.
The assistant uses approved knowledge instead of improvising from memory.
The same knowledge base can later power client service, reports and automations.
The final specification is adjusted after a short analysis, but the starting scope is clear from the first conversation.
AI implementation needs a narrow scope, good test samples and clear responsibility. We build it in stages so the first value appears quickly.
We choose a business process, define users, data sources, risks and the measurable outcome.
We prepare the first assistant, prompt flow, document route or automation on a controlled sample.
We connect the solution with the website, panel, CRM, files, database or internal workflow.
We verify answer quality, edge cases, permissions, logging and handover to employees.
We train the team, document the rules and start with a safe production scope.
We monitor usage, costs, quality and new scenarios after real feedback.
Starting prices assume one language, one main user group and a controlled first knowledge base.
Prices are indicative net implementation prices. Third-party model, cloud, licence, infrastructure and non-standard integration costs are estimated separately.
The most important thing is to start with value, data and responsibility, not with a trend label.
Yes. We can index typical office documents, web content and selected structured data. Some scans may require OCR.
Yes, but client-facing assistants need stronger moderation, handoff rules and approved answer boundaries.
Yes. Multilingual scope is possible and priced according to content volume and testing effort.
A short consultation is enough to select the first use case, estimate the scope and decide whether the best start is an audit, pilot or direct build.