Automate the work your team keeps repeating.
AI assistants, document automation and ML features for the work that keeps piling up.
What you get
- AI opportunity audit
- proof of concept
- chatbots/assistants (website, WhatsApp, internal)
- RAG search over your documents
- document extraction and workflow automation
- model evaluation and guardrails
- usage and cost monitoring
How we help
AI sounds useful. Working out where it helps, what data it needs and when to trust an answer is the harder part. We find a useful starting point, test it with a prototype and measure how it performs. Then we build with data safeguards, guardrails and human review where it matters.
Approach and technical details
How it runs
- Use-case workshop
- data check
- 2–4 week POC
- evaluation
- production build
- monitoring and tuning
Typical stack
OpenAI / Anthropic / Google / open-source LLMs, LangChain/LlamaIndex, vector databases, Python, n8n/Zapier-style automation, AWS/Azure/GCP AI services
Typical stack; we confirm the right tools for your project during discovery.
Is our data safe?
We design for privacy: we use providers' no-training options where available, enforce access controls, and keep sensitive data in your cloud when needed.
Will the AI make things up?
We reduce this with grounding on your data, evaluations and guardrails, and we add human review for high-stakes outputs.
What does an AI project cost?
Start with a fixed-price POC. See Pricing.
Learn the basics
New to AI? Our AI hub has plain-English guides: troidx.ai. Start with what AI can do for your business or automate a simple workflow.