Knowledge-base assistant
An assistant that answers questions from your documents and internal knowledge.
SERVICE
AI assistants and data analytics
Actionable insights from your data and AI assistants tailored to your team’s tasks — with people in control of the outcome.
01
What we build
Analytics and reporting
Turning scattered data into clear indicators for decision-making.
AI inside your workflow
AI that works within your existing process, with results that get checked.
02
What’s included
- Knowledge-base assistantsThe assistant relies only on the sources you provide and shows where each answer comes from.
- Analytics and reportingWe combine data sources and prepare regular reports and indicators.
- Human oversight and quality evaluationPeople approve important decisions, and answer quality is evaluated regularly.
03
How we work
- 01
Discovery
We study your goals, audience and existing processes, then define scope and priorities.
OUTPUT / A clear project brief - 02
Design
User journeys, interfaces and technical architecture. We review the solution together before writing code.
OUTPUT / Design and project plan - 03
Development
We build iteratively, demonstrate progress and collect your feedback at each step.
OUTPUT / A tested product - 04
Launch
Final checks, deployment and handover. Further development is agreed separately.
OUTPUT / A launch-ready solution
04
Ways to work together
End-to-end delivery
One partner from the initial idea through design, development and launch.
- When does it fit?
- When building a new product or platform.
- How it works
- Agreed scope, milestones and acceptance criteria.
Team extension
The technical expertise and development capacity your existing team needs.
- When does it fit?
- When your in-house team needs extra capacity or specialist expertise.
- How it works
- A shared backlog, clear roles and regular delivery reviews.
Product evolution
Audit your existing product, add integrations and reduce technical debt.
- When does it fit?
- When a working system needs to be ready for its next stage.
- How it works
- Technical audit, prioritized work and incremental improvements.
05
Questions
What happens if the AI gives a wrong answer?
That is why we design human oversight and quality evaluation into the solution: important outputs are checked by a person.
How is a project priced?
We prepare a proposal after defining scope, integrations and requirements. Price and deliverables are agreed before work begins.
Can I get in touch with just an idea?
Absolutely. Our first conversation turns your idea into user needs, core features and a first delivery stage.
Can you improve an existing system?
Yes. We first review the code and architecture, then propose improvements or integrations.
How long does a project take?
Timelines depend on scope. After the brief, we agree on milestones, acceptance criteria and a delivery plan.
Let’s discuss your project
Briefly describe your task. In the first conversation we’ll map out the way forward together.