Front office AI · Answer · Capture · Act
Vokira isn't a chatbot that makes things up. It's the intelligence that answers when you can't, captures every contact, moves your everyday operations forward and — when a person is needed — hands over with the summary already prepared. Built on your real content, it keeps clients and locations separate and speaks the language of whoever reaches out.
Distributed by Tailor Made Media s.r.l. (TMM).
Every day your business gets the same questions: opening hours, availability, indicative pricing, order status, "can I book?", "how does it work?". They look trivial. But it's exactly there, in the first seconds of contact, that a prospect decides whether to stay or walk away. The phone channel reveals a problem bigger than most assume: many missed calls are never returned, and some of the people who don't get an answer contact a competitor instead. On top of this sits a silent problem: company knowledge is scattered. It lives in one person's head, in a PDF, in an old email, in a spreadsheet. When the front office doesn't have the right, up-to-date information at hand, it answers badly, answers late, or doesn't answer at all. And when a real request comes in — an order, a booking, a document to prepare — it often stalls right there, waiting for someone to move it forward.
Who it's for: local businesses, multi-location companies, sales and service teams, agencies and groups managing multiple clients— and anyone burned by a chatbot before.
Operational control and accountability. Vokira is built for companies that want to automate the front office without losing governance: it works from approved content, keeps clients and locations separate, records key steps and hands off out-of-scope cases to an operator with the context already prepared. Sensitive actions — payments, external sends, delicate operations — stay under explicit rules: the assistant prepares, summarizes and proceeds only according to the permissions you define.
Let's set the jargon aside. Here's what Vokira is, in plain words anyone can follow.
A good receptionist doesn't invent answers — they read from the company manual. Vokira does exactly that. It answers from your real content — documents, pages, policies, price lists you give it. And when a question is "off-manual", it doesn't improvise: it hands over to a person, already passing along the summary. The technical term is governed knowledge; in practice it just means "it answers about what it knows, and for what it doesn't it calls a human."
Voicemail is where customers go to die: most people who reach it never call back. Vokira is built to answer when you can't, on text and — on the phone — live too, understanding and speaking the caller's language. Not to replace your voice, but because a contact that won't wait is a contact lost.
This is the real difference. Vokira doesn't stop at the answer: it turns a contact into something concrete. A phone call becomes a new logged contact; a request becomes a task to follow up; "I'd like to book" or "I'd like to order" becomes an appointment or an order started; a requested document becomes a ready draft. Always within your rules, and with confirmation before any sensitive action.
If you run several locations or clients, the risk is that information gets mixed up. With Vokira, each client and each location gets its own separate drawer: same intelligence, but the knowledge and data never touch or blend. One platform, many isolated bases.
What customers hate most about bots is having to repeat everything from scratch when a real person finally shows up. Not with Vokira: when it hands a conversation to a human agent, it passes along the full transcript and a summary of the problem. Like a colleague who tells you in two lines, "here's what it's about, start from here."
Vokira Web is the web instance of Vokira — the assistant you can already talk to on TMM's homepage: the same intelligence, on the web.
Our principle is simple and stated up front: we start from the problem, not the tool. Here's how a Vokira front office is built with TMM.
How we do it
Out · Result
We don't sell a platform; we listen. Which questions come up most? Where do you lose contacts? What should the AI be able to do on its own, and when must a person step in? The brief is always the starting point.
We gather and organize your true sources — documents, pages, policies, price lists, internal FAQs — into a governed knowledge base. This is what lets the assistant answer grounded in facts, not "from memory." It's the standard mechanism that reduces made-up answers: retrieve from controlled sources.
We define tone, scope, languages and behavior. The assistant understands intent, keeps conversation context, and answers on text and — where it's in scope — on the phone too. The voice flow is the industry standard: listen, transcribe, interpret intent, respond, in seconds, in the caller's language.
We decide together what Vokira can do beyond answering: log a contact, open a follow-up task, start an appointment or an order, prepare a document draft. The actions that matter — payments, external sends, sensitive operations — always go through a summary and an explicit confirmation before they run.
We decide together when Vokira must stop and call a person: sensitive topics, off-manual cases, explicit requests. On handoff, the agent receives transcript and summary, so they enter already in context. It's the recognized best practice: AI-assisted, human-led.
If you need multiple locations or clients, we activate separate workspaces, each with isolated knowledge, configuration and data. No cross-contamination between knowledge bases.
Every interaction and every action is traceable. We review what works, where the assistant should hand over, what to add to the knowledge. Vokira is not a "set it and forget it" project: it grows with the business. Privacy by design: it's designed for GDPR compliance, with access controls, interaction logs, data separated per workspace, and clear rules on who sees what.
Anonymized, qualitative examples. No client names, no historical numbers.
The front office spends its day answering the same 20 questions, while truly important cases pile up. Method: an assistant built on governed knowledge that covers standard questions and hands off-manual cases to a human.
Callers want to book or order, but the request stalls half-done until someone picks it up — and sometimes it's lost. Method: the assistant doesn't just answer, it starts the operation (contact, appointment, order, document draft), asking for confirmation where needed.
Each location gives different answers, and one location's information "bleeds" into another's. Method: a separate workspace per location, each with its own isolated knowledge and data.
Running AI for many different clients becomes unmanageable, with a high risk of mixing up knowledge bases. Method: multi-workspace architecture — one tool, knowledge and data fully isolated per client.
At peak hours contacts pile up and someone is left without an answer. Method: the assistant absorbs the first contact and, where a human is needed, hands over with the summary already prepared.
In one sentence, what is Vokira?
It's the AI that runs your front office: it answers customer questions from your real content, captures every contact, moves everyday operations forward (like starting a booking, an order or a document draft) and, when a person is needed, hands over with a ready-made summary. The difference from a "chatbot" is that it answers grounded in your content and acts within clear rules, not at random.
How does it work on the phone?
When the phone channel is in scope, the flow is simple: the assistant listens, transcribes what you say, interprets the intent and responds, in seconds and in the caller's language. It answers from the company's governed knowledge and, when needed, hands the call to a person.
Can the AI make up answers? How do you prevent it?
It's the most legitimate concern. Vokira answers from the company's real sources (governed knowledge): when it doesn't know, it doesn't improvise — it captures the request and hands it to a human. This is the standard mechanism for reducing made-up answers: retrieve from controlled sources instead of "guessing."
Does Vokira act on its own? What if it gets an important action wrong?
Vokira performs the operations you enable, but on the actions that matter — payments, external sends, sensitive operations — it never proceeds without confirmation: it first shows you a summary of what it's about to do, then acts only if authorized. Where something blocks it, it prepares a draft and points to the next step, instead of causing damage.
How does the handoff to a human agent work?
We define the rules together: when Vokira must stop (sensitive topics, off-manual cases, explicit customer request). On handoff, the agent receives the full transcript and a summary of the problem, so the customer doesn't have to repeat anything. It's the "AI-assisted, human-led" approach.
Is it safe for my data and designed for GDPR? I manage multiple clients or locations: does everything get mixed up?
It's designed with privacy by design and for GDPR compliance: access controls, interaction logs, data separation per workspace and clear rules on who can see what. And no, nothing gets mixed up: Vokira is multi-workspace, so each client and each location has isolated knowledge, configuration and data, with no cross-contamination.
The best way to find out whether Vokira fits is to start from your real front office: which questions come in, where you lose contacts, what the AI should do on its own and when a person must step in. No black-box promises, no random pricing: problem first, then a solution built on your sources.
Talk to a senior · Discover the full platform at vokira.ai
