AI features inside your product
We build AI directly into the product — generation, classification, analysis, recommendations and smart flows — like the AI consultant in Neo Terminal.
- 7+projects in production
- 100%code and access yours
What’s included
The parts the work is made of — and where to read more about related formats.
01
Choosing the scenario
Where AI actually saves users time and where it isn't needed. We spell this out so the result is usable for an estimate, build or handover without guesswork.
- 01Where AI helps
- 02Where it doesn’t
- 03Quality criteria
- 04User expectations
Who it’s for
- 01
SaaS products and platforms adding AI to real workflows
- 02
E-commerce and catalogues with lots of products or content
- 03
Products where users spend time on routine operations
TIVONIX projects on this topic
Real products from the project catalogue, with what was actually built in them.
Tell us the task — we’ll outline scope, timeline and cost
The brief takes a few minutes. We reply with the next step, risks, timeline and a cost range.
How the work goes
Stage 1
Scenario and data
What task AI solves and on which data.
- Task and quality criteria
- Data sources and access
- Cost limits
- What stays with a human
Stage 2
Prototype and validation
The approach is tested on real data before integration.
- Model and approach
- Prompts and tools
- Tests on real examples
- Quality and cost assessment
Stage 3
Integration into the product
AI is built into the system with permissions and control.
- Server-side integration, keys on the server
- Access rights
- Fallback path on failure
- Action log
Stage 4
Launch and control
Quality and costs are watched after launch.
- Quality and cost monitoring
- Improvements from real requests
- Documentation
- Access stays with you
Why TIVONIX
- 01
One owner of the result
The work is led by the TIVONIX founder: responsibility isn’t spread across contractors and decisions are made quickly.
- 02
AI as part of the product
Keys on the server, checks, a fallback path and cost control — AI works inside the system, not as a separate demo.
- 03
Code and access stay with you
Source code, access, environment settings and instructions are handed to the client. The project isn’t locked to us.
- 04
Built in working parts
We show working parts of the system, not pictures: interface, server side, admin panel and integrations.
More in AI & Automation
- AI AgentsAI agents that work with data, documents, customers and internal processes.
- AI Search & RAGSearch and answers over your knowledge base, documents and internal data.
- Business Process AutomationWe automate manual work across CRM, APIs, Telegram, internal systems and third-party services.
- AI IntegrationsOpenAI and other AI providers behind a secure server architecture with cost control and fallbacks.
FAQ
Is there an example of AI features in a product?
Yes. Neo Terminal has an AI consultant: natural-language search, Product Page Expert and commerce actions on real catalogue data.
Which models do you use?
We choose by task, quality and cost. Integration runs through the server, so the model can be swapped without rebuilding the product.
Which AI models do you work with?
We choose for the task: OpenAI, Anthropic Claude, Google Gemini and other providers. Keys and calls stay on the server, with a fallback if a provider fails.
How is the cost formed?
It depends on scope: how many roles, screens and scenarios, which integrations and launch requirements, and what already exists. Scope and price are fixed in writing after reviewing the task — before work starts.
How long does it take?
It depends on scope and on what already exists. We name the timeline after reviewing the task and split the work into stages with intermediate results, so you see progress instead of waiting for the end.
What do you need to get started?
A short description of the product and users, the task, and whatever exists already: designs, code, documents, access. That’s enough for a brief — we reply with the next step, risks, timeline and a cost range.
Which industries do you work with?
SaaS, fintech, e-commerce and internal systems. Launched projects include a booking marketplace, an AI commerce platform, a music fintech platform and a partner dashboard.
Who keeps the code and access?
You do. Source code, access and clear documentation are handed over to the client.
