AI Development and Automation Services
AI that took quoting from 3 days to same day
Practical AI integrated into your existing tools. At FENIX TEAM PLAST, AI quoting cut turnaround from about three days to same day and paid back in under four months. At Srecna Trojka, bid preparation went from 18 hours to 6. We build systems measured by ROI, not headlines.
Capabilities
What We Offer
- AI-powered chatbots & virtual assistants
- Automated client management systems
- Intelligent document processing
- Workflow automation & optimization
- AI-assisted quoting & scheduling
- Custom AI integrations with existing tools
Tech Stack
Technologies
Why Notix
AI that pays for itself, measured
We build practical AI that pays for itself, and we measure it. At FENIX TEAM PLAST, AI-assisted quoting cut turnaround from about three days to same day and the investment paid back in under four months. At Srecna Trojka, bid preparation fell from 18 hours to 6. AI is also core to our own product, Arhivix, where it powers document search and tagging for 500+ companies.
We start where the return is clearest: the repetitive, high-volume task that is quietly draining your team. Then we automate it end to end and integrate it into the tools you already use. Our guide to AI automation ROI shows how quickly this can compound.
Accuracy and trust come first. Every system is evaluated against real cases before it goes live and kept human-in-the-loop where the stakes are high, the same discipline behind the workflow automation and retrieval systems we build for grounded, accurate answers.
What we build
Where AI delivers first
AI pays back fastest on the repetitive, high-volume work that quietly consumes your team. We build customer inquiry and support automation, AI-assisted quoting and scheduling, proposal and RFP workflows, intelligent document processing, and knowledge assistants that answer questions from your own data.
In production that has meant same-day quoting for a manufacturer, halved bid-preparation time for a consultancy, and automated intake and scheduling for an auto-repair shop, plus the AI search inside our own document platform. We start with the one workflow where the return is clearest, prove it, then expand, following the pattern in our workflow automation guide.
How we work
Discovery to delivery, in artifacts
Every AI project runs through four phases, and each one ends in something measurable.
Discovery
We audit your workflows and find the highest-ROI task to automate, with the numbers to back it.
Artifact: An automation map with expected ROI and a fixed-price proposal.
Design
We design the human-in-the-loop flow, the data sources, and the guardrails that keep it safe.
Artifact: A prototype assistant or workflow running on your real data.
Development
We build, evaluate against real cases, and tune until accuracy clears the bar the task requires.
Artifact: A measured accuracy report and a staging integration.
Delivery
We integrate into your existing tools and monitor the system in production, with a clear escalation path.
Artifact: A live system with dashboards and monitoring.
Engagement models
Ways to work with us
Every build is scoped to pay for itself, and you get a firm number after discovery rather than a vague estimate up front. Projects start at $25,000, and where you land from there depends on scope, integrations, and complexity. We publish real ranges by project type, from MVPs to enterprise platforms, in our software development cost breakdown. Three models cover almost every engagement, and we recommend the one that fits your stage and your budget.
Fixed-price MVP
Best for a validated scope you want in market fast
One price, one timeline, one working product. It suits a clear, bounded scope where you want a launchable MVP in about 6 weeks with no budget surprises. You approve the scope up front, we absorb the estimation risk, and you get production software at the end, not a throwaway prototype.
Time and materials
Best for products that will evolve as you learn
You fund a senior pod by the sprint and reprioritize the backlog every week as you learn from real users. It fits products where the scope will genuinely change, and you value the flexibility to steer over a fixed line item. You see working software every week and only pay for the work you direct.
Dedicated team
Best for a long roadmap and continuous delivery
An embedded senior team that works as an extension of yours, with the same standups, tools, and rituals as your own staff. It fits a long roadmap where you want continuity and deep product knowledge, scaling up or down as priorities shift, without the overhead of hiring in-house.
Proof
Outcomes we have shipped
A sample of what AI development looks like in production.
Technology
How we choose the stack
We build with OpenAI models, Python, and LangChain, adding retrieval-augmented generation and natural language processing when a task needs answers grounded in your own data rather than the model's training. Everything connects to your systems through REST APIs.
Not every problem needs a large model, and we will say so. Some wins come from classic automation and document processing; others need an agent that resolves issues rather than a chatbot that only answers questions. We match the tool to the task and the budget.
Our Work
Related Projects
Client Feedback
What Our Clients Say
“This system finally solved the chaos with our paperwork. All documents, invoices, and shipping docs are organized, sharing with clients is instant, and our accountant gets everything on time. We feel a real relief in our daily work.”
“Notix's work helped us drop our quote turnaround from about three days to the same day.”
“They moved from ideas to a working MVP in six weeks without losing quality.”
FAQ
Common Questions
What kind of tasks can AI automate for my business?
AI can automate customer inquiries, appointment scheduling, document processing, data entry, report generation, and other repetitive work. We analyze your workflows to find the highest-impact opportunities first.
How quickly can I see results from AI implementation?
Often within weeks. At FENIX TEAM PLAST, a windows and doors manufacturer, AI quoting cut turnaround from about three days to same day and the build paid for itself in under four months. At Srecna Trojka, bid preparation went from 18 hours to 6.
Do I need a large budget for AI automation?
AI automation is usually the fastest engagement to earn its budget back. Our projects start at $25,000, and the practical, high-ROI builds we focus on typically cover that cost within three to four months.
How do you keep AI accurate and safe?
We evaluate every system against real cases before launch, keep a human in the loop where the stakes are high, and add guardrails. On our FENIX quoting system that discipline delivered more than 99% accuracy.
Will AI integrate with the tools we already use?
Yes. We integrate through REST APIs into your existing CRM, ERP, website, and internal tools, so automation fits your current workflow instead of adding another silo.
Can you build a chatbot or a support agent?
Yes, and we go further than FAQ bots. When it makes sense we build agents that resolve issues end to end rather than just answering questions, always with clear escalation to a human.
What can you do with our internal documents and knowledge?
We build retrieval systems that let your team ask questions in plain language and get answers grounded in your own documents and data, the same approach behind the AI search in our Arhivix product.
Learn More
Related Reading
Ready to Get Started?
Book a free 30-minute consultation about your ai & automation project. We reply within 24 hours with an honest read on scope, timeline, and budget.