AI agents
Agents that take a request, use your tools and APIs, and finish the task or hand it to a person with the context attached.
AI services
AI services that ship into real workflows
We design, build and integrate AI where it removes real work: answering customers, finding answers in your documents, and moving routine tasks off people’s desks.
What's included
What we build
Most AI projects stall because the use case was vague, the data was not ready or nobody measured the result. We begin with one workflow, define what a good outcome looks like, and build the smallest system that proves it before widening the scope.
Chatbots and assistants
Website and in-app assistants that answer from approved content, collect details and escalate cleanly.
Retrieval over your documents (RAG)
Search and answers grounded in your own files, wikis and tickets, with citations people can check.
Workflow automation
Document handling, triage, classification and routing that runs in the background and flags exceptions.
AI strategy and use-case mapping
A ranked list of where AI will pay off in your operation, with effort, risk and a first pilot defined.
Integration
Connecting models to your CRM, helpdesk, calendar, database or internal API so the output lands where work happens.
How it runs
How an AI project runs
- 01Frame the use caseOne workflow, one owner, a measurable target and a list of the data involved.
- 02Prototype on your dataA working version in days, tested against real examples rather than invented ones.
- 03Build and integrateProduction code, authentication, your systems connected and the edge cases handled.
- 04Evaluate and hardenA test set, red-team prompts, cost and latency budgets, and clear human handoff rules.
- 05Launch and monitorStaged rollout with dashboards for quality, usage and spend.
- 06ImproveRegular review of real interactions, with fixes shipped in small releases.
Why teams work with us on AI
We run our own AI product
Basalix AI answers live phone calls and web chats for law firms. We know what it takes to keep AI reliable in front of real customers.
Provider-neutral
We pick models and vendors on quality, cost and data requirements, and design so you can switch later.
Honest about fit
If a rules-based fix or a simpler tool does the job, we will say so before you spend on AI.
Proof we ship AI
We run Basalix AI, our own AI front desk, in production for law firms
Voice and chat agents that answer, qualify and book around the clock. The same engineering goes into every client website and AI system we build.
FAQ
Straight answers on ai services
How long does a first AI project take?
A focused pilot, such as a support assistant over your documentation or a triage agent for one inbox, usually reaches a working version in two to four weeks. Production hardening and integrations add to that depending on the systems involved.
Can the AI answer only from our own content?
Yes. We build retrieval so answers are grounded in the documents you approve, show their sources, and decline or escalate when the content does not cover the question.
Which models do you use?
We choose per project from the leading commercial and open models, based on accuracy on your examples, cost, latency and where your data is allowed to go. The design keeps the model swappable.
Do you keep working on it after launch?
Yes. Most clients keep a light monthly engagement for monitoring, prompt and retrieval tuning, and new use cases built on the same foundation.
Have a workflow you think AI could handle?
Describe it in a few lines. We will tell you whether AI fits and what a first pilot would look like.