AI systems and chatbots
Vyntic builds AI features that sit on a business's own data: assistants that answer from real documents, systems that classify or extract from incoming work, and agents that carry out a defined task end to end. The useful ones replace a specific, repeated judgement, not the whole job, and not a search box that already worked.
What can AI reliably do for a small business, and what can it not?
AI is reliable at drafting, summarising, classifying, extracting structured data from messy input, and answering from a defined body of documents. It is unreliable wherever being wrong is expensive and unverifiable: final legal, medical or financial answers, exact arithmetic, and anything where a confident mistake would go unnoticed. The build decides which side a feature sits on.
How does an AI feature use our data without leaking it?
By keeping the data in systems the business controls and sending a model only what a given task needs. Vyntic scopes what is sent, what is stored, what is logged and what a provider retains, then writes it down before the build starts. A business that cannot answer where its data went does not control it.
What does an AI feature cost to run?
Running cost is usage-based and lands on the business's own provider account, so it scales with how much the feature is actually used rather than sitting as a fixed line. Vyntic sizes that expected usage during scoping and designs around it (caching, smaller models for simple steps) because a feature nobody can afford to run does not ship.
How do you tell a useful AI feature from an expensive gimmick?
Ask what it replaces. A useful AI feature removes a repeated task someone is doing now, and its output can be checked against something. A gimmick adds a chat box to a page that was not confusing, or generates text nobody needed. Vyntic will say when the honest answer is a form, a filter or better search.
Start a project
Tell Vyntic what you have in mind. A quote comes back within two business days, or an honest no.