Use-case discovery
Find where generative AI saves time or adds value, and where it does not belong.
Turn language models into useful products. Shaaneiol Tech builds copilots, assistants, and content tools grounded in your own data, with the guardrails a real business needs.
Useful AI. Grounded answers. Safe by design.
From the first prototype to a monitored release, a connected approach to building with large language models.
Find where generative AI saves time or adds value, and where it does not belong.
Build assistants that answer questions and complete tasks inside your tools.
Ground answers in your documents and data so responses stay accurate and current.
Draft emails, summaries, and product text in your brand voice with human review.
Control what the model can see and say, with filters, logging, and access rules.
Measure answer quality and cost after launch, and improve prompts and models over time.
A clear delivery path, with priorities you can understand and progress you can follow.
Choose the use cases where generative AI is worth building.
Test an early version with real examples from your data.
Connect models, data, and your existing systems.
Release to a small group with monitoring and human review.
Track quality and cost, then refine prompts and models.
Combine models, data, and guardrails so AI helps people instead of surprising them.
Working prototype. Clear evaluation. A safe path to launch.
Ranked opportunities with expected value and effort.
A tested assistant or tool built on your own content.
Your documents prepared, indexed, and kept up to date.
Documented prompts, filters, and access rules.
Test results showing accuracy, speed, and cost.
How to monitor, update, and support the system.
Combine model choice, your data, and clear guardrails, with decisions grounded in your use case and your risk limits.
Start from the work your teams do today, then add generative AI where it saves time. Keep answers grounded in your own content and people in control.
Responses based on your documents, with sources shown.
Your data stays under your control and out of public model training.
Clean, documented builds your engineers can maintain.
Test sets and monitoring show if answers get better or worse.
Can’t find what you need? Let’s have a quick, no-pressure conversation.
Cost depends on the use case, the data work, and how many systems connect. We start with a small prototype so you see value and a clear estimate before a larger build.
Yes. We design for privacy from the start, with access rules, encryption, and settings that keep your data out of public model training.
A focused prototype is often ready in a few weeks. A production release follows once quality, safety, and integrations are tested.
Any model can be wrong. We reduce errors with grounded data, tests, and human review, and we show sources so answers can be checked.
Build copilots, assistants, and content tools with engineers who take generative AI from prototype to production.