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.
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.
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.
We pin down who uses it, what it replaces and how success will be measured.
Evaluation sets, guardrails, logging and fallbacks are part of the first release.
We review real conversations and failures after launch and tune from them.
Agents that take a request, use your tools and APIs, and finish the task or hand it to a person with the context attached.
Website and in-app assistants that answer from approved content, collect details and escalate cleanly.
Search and answers grounded in your own files, wikis and tickets, with citations people can check.
Document handling, triage, classification and routing that runs in the background and flags exceptions.
A ranked list of where AI will pay off in your operation, with effort, risk and a first pilot defined.
Connecting models to your CRM, helpdesk, calendar, database or internal API so the output lands where work happens.
One workflow, one owner, a measurable target and a list of the data involved.
A working version in days, tested against real examples rather than invented ones.
Production code, authentication, your systems connected and the edge cases handled.
A test set, red-team prompts, cost and latency budgets, and clear human handoff rules.
Staged rollout with dashboards for quality, usage and spend.
Regular review of real interactions, with fixes shipped in small releases.
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.
We pick models and vendors on quality, cost and data requirements, and design so you can switch later.
If a rules-based fix or a simpler tool does the job, we will say so before you spend on AI.
Basalix answers the phone line and website chat around the clock, screens each inquiry on the attorney’s own criteria, books consultations into real calendar availability and delivers the lead to the firm’s CRM.
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.
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.
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.
Yes. Most clients keep a light monthly engagement for monitoring, prompt and retrieval tuning, and new use cases built on the same foundation.
Describe it in a few lines. We will tell you whether AI fits and what a first pilot would look like.