Focus
Where we typically help
- Retrieval over your documents and help content
- Drafting with edit and approval
- Source links next to generated answers
- Product features, not a standalone chat toy
Services / Generative AI
Generative AI Development for Business Software
We build generative features that answer from your approved content, draft with a person in the loop, and stay attached to the product your team already uses.
A typical build is a knowledge assistant or drafting tool: retrieve the relevant document, generate a response, and show the source. It is not a promise that the model is always right.
Generative AI
Discovery-ledScope before we build
Milestone deliveryVisible weekly progress
Production qualityBuilt to run and scale
Ongoing supportPartner after launch
What’s included
A clear package for Generative AI
Focus areas, outcomes, and deliverables — kept practical and business-first.
Outcomes
What better looks like
- Staff find answers in their own material
- Drafts start from real context
- Users can see where an answer came from
- Wrong answers can be corrected and logged
Delivery
What we provide
- Content and permission review
- Retrieval and prompt design
- Interface for ask, draft, and approve
- A simple evaluation set before launch
Why InsideTech
A modern delivery partner for Generative AI
We keep scope grounded in real priorities, communicate consistently, and build systems your team can run after launch.
Grounded answers
Where the task needs facts from your business, we retrieve source material instead of asking the model to guess.
Visible limits
The interface should say when it cannot find a source, rather than filling the gap with a fluent sentence.
Fits the product
The feature lives in the web app, internal tool, or support desk you already operate.
How We Work
A Clear, Reliable Process From First Idea to Long-Term Growth
We keep delivery transparent and low-risk. You always know what is being built, why it matters, and what comes next — with steady communication at every stage.
Discover & Plan
We start by understanding your goals, users, and existing systems, then turn them into a clear, realistic roadmap with defined outcomes and priorities.
Design & Architect
Our team designs clean interfaces and a scalable technical architecture so your software is fast, secure, and ready to grow with your business.
Build & Launch
We develop in short, measurable milestones with regular demos, then deploy to secure cloud environments with monitoring, testing, and handover.
Support & Scale
After go-live we stay on as your technical partner — maintaining, optimizing, and adding new capabilities as your needs evolve.
Common questions
Questions about Generative AI
Practical answers before you book a consultation.
What is retrieval-augmented generation in this context?
The application searches approved business content first, then asks the model to answer using those passages and to show where they came from.
Will generated text be published automatically?
Not by default. Customer-facing or official text stays in a review step unless you explicitly choose a narrower, low-risk use.
Technology
Technology used for Generative AI
These are the tools we use on Generative AI projects. A single build uses the ones that fit the product.
Python
AI application logic
LLM APIs
Drafts, answers, and classification
Retrieval
Answers from your documents
REST APIs
Hooks into software you already run
Planning a Generative AI project?
Share your goals, current setup, and timeline. We’ll respond with a practical next step.