She talks
In chat, in voice and face to face, in one window. Every sentence names its source, and an answer without coverage in your knowledge never reaches the customer.
AI employee
Hire Ada. She talks to customers and books the meetings.
Ada works on your website from the first question to a booked slot, and then runs the demo herself. Every answer rests on your company's knowledge and cites its sources. Every change to your data is prepared for a human to approve.
Core infrastructure hosted in the EU · answers with source citations · no ad or analytics trackers
Ada is an AI assistant. You are talking to a system, not a person.
On your website
Five things Ada does for your customers
This works today, on your website and your content. Each item has its own page with a sample conversation and a clear split between what is ready and what is still being built.
She books and runs meetings
A slot picked inside the chat window, a confirmation with a calendar file, reminders. She runs the demo herself, prepared on the visitor's own website.
She keeps the e-mail thread
She receives and replies in the same thread, from the same knowledge as on the website, and protects booked slots with reminders.
She surfaces the right material
From a catalogue you define, at the moment it answers the question just asked. She never invents an address of her own.
She records what customers looked for
Questions without coverage become a list of topics to write, and every turn leaves a trace in the audit log.
Where this behaviour comes from: the platform and Ada's working cycle.
Inside your company
Connect your stack. Tell Ada what you need. Ada operates.
No new windows and no new passwords. Ada comes to the tools your team already uses.
Connect your stack
You add Ada to your Slack or Teams workspace like a new team member, point her at the knowledge groups she may access, and connect the tools you work with. No changes to your infrastructure.
Tell Ada what you need
You write to Ada in a channel, in a thread or in a direct message, the way you would write to a colleague. Once, or on a schedule: the same instruction can become a recurring task that comes back at a set time.
Ada operates, you approve
Ada does not send you off to read the documentation. She comes back with a finished answer or an artifact, and every change to your data waits for your click on a confirmation card.
Use cases
One AI employee. Every function.
Ada is not a chatbot for a single team. The same machinery, a knowledge base with citations, connectors and confirmation cards, serves support, finance, sales and engineering.
She pulled revenue from Stripe, checked the sales pipeline in Pipedrive, reviewed open issues in Linear and put it all together into one picture. In a single Slack message.
Support and onboarding
A new hire asks Ada in a direct message about benefits, leave and procedures. Ada answers from your company's curated knowledge base and points to the source every time. Questions with no coverage land in the knowledge gap register, so HR sees what is still missing. The result: a finished answer in the thread with a link to the source, instead of a pointer to the intranet.
Finance
Each month Ada pulls data from your payment and accounting tools through connectors, turns it into a summary and posts it to the finance channel as a recurring task. Sending an invoice or correcting a record always goes through a confirmation card. The result: a board-ready summary waiting in Slack on Monday morning.
Sales and CRM
After a sales call Ada prepares the opportunity update in your CRM and puts it up for one-click approval. The team asks her about pricing, terms and proposal wording, and she answers only from approved material, with citations. The result: a CRM that stays current without manual clicking, and customer answers consistent with your offer.
Engineering
Ada collects overnight monitoring alerts and tracker issues, groups recurring problems and posts a morning summary to the team channel. Questions about on-call procedures and runbooks get an answer sourced from the knowledge base. The result: one triage thread instead of thirty notifications, every day at the same hour.
Integrations
1,600+ tools through managed connectors
Ada connects to more than 1,600 tools through managed connectors. CRM, project management, finance, communication, analytics. If your team uses it, Ada can connect to it.
CRM
Project management
Finance and accounting
Communication
Analytics
Customer support
One-click OAuth
Most connectors take one click to authorise. You pick the tool, confirm access and you are done. You set the permission scope when you connect, and you can disconnect at any moment.
API keys where they are needed
Some tools use API keys instead of OAuth. Either way Ada handles the authentication and starts working right away, and secrets stay on the platform side, never in the conversation.
No webhooks to configure and no Zapier zaps. Connectors are managed on our side, and every write action in your tools goes through a confirmation card.
When the topic outgrows chat, switch to voice
Not every matter is settled in writing. Ada sends a link to a conversation room and speaks in the same voice she writes in.
A conversation room with an avatar
From the chat you get a link to a room where Ada speaks and listens in the browser, with a live avatar. No installation, no new account and no new passwords. One click starts the call.
The same rules as in chat
Voice is not a separate mode with looser rules. The same knowledge sources, the same limits and the same permissions of the person asking apply exactly as they do in writing.
Security
The security behind your AI employee
An AI employee gets exactly the same boundaries as a human one. These are not settings you can overlook, they are the way the platform works.
What Ada does
- Answers only from your company's curated knowledge base, citing sources
- Records questions with no coverage in the sources as knowledge gaps
- Issues a confirmation card for every action that changes data
- Keeps an audit trail with personal data masked
- Runs its core infrastructure in the European Union, on servers in Warsaw
What Ada does not do
- Does not train models on your data
- Does not change anything without human approval
- Does not answer from the internet or from guesswork
- Does not show content to people without permission
- Does not mix data between companies
Gates before the model, not after it
Every request passes availability, mode, limit and knowledge corpus checks in turn before it reaches the language model at all. When any gate blocks, the model provider is never called.
Citations or rejection
The answer is buffered in full and checked for coverage in the sources before anyone sees the first character. Missing citations mean the whole answer is rejected, and the question goes to the knowledge gap register.
A human approves every change
Data changes never leave the model's turn. Ada prepares a confirmation card, a human approves it with a separate click, and the safety checks run again at the moment of approval.
The asker's permissions
Ada answers only from content the person asking is allowed to see. This is not a filter applied to the result, it is a condition of the query itself. Separation between companies is required on every database query and covered by isolation tests.
Failure closes, it does not open
Budgets and limits are fail-closed: when something breaks, the feature shuts down rather than running unchecked. On top of that, rate limits for voice conversations and SSRF protection when importing content from URLs.
EU infrastructure, no training
Core infrastructure runs on servers in Warsaw, and on the Enterprise plan we sign a data processing agreement (DPA). Models run through the commercial APIs of the providers listed in our subprocessor register, under no-training terms; some of that processing may take place outside the EEA under appropriate safeguards. The site and the widget use no cookies, no ad or analytics trackers and no external CDN for our code.
You do not have to take our word for it. The platform
publishes a capability matrix at /capabilities, where you can
check for yourself what is enabled on your instance.
Questions about Ada
How does Ada know what to answer?
Only from your company's curated knowledge
base. Every answer cites its sources, and the coverage check runs
before the answer is shown, not after the fact. Ada does not reach
out to the internet and does not fill gaps with guesswork.
What happens when Ada does not know the answer?
She says plainly that she does not know, and
the question goes to the knowledge gap register. You see exactly
what is missing and decide what to add. That register is one of the
most practical sources of insight into what your team is actually
looking for.
Can Ada change something in our systems on her own?
No. Every write action goes through a
confirmation card approved by a human. A change never executes from
the model's turn, and the safety checks run again at the moment of
approval, not only when the card is prepared.
Who sees which answers?
Ada answers only from content permitted for
the person asking. Audience groups set the scope at the level of
the knowledge query itself, so content outside those permissions
never enters the answer. Ada does not hide it, she simply never
sees it.
Is our data used to train AI models?
No. Models run through commercial APIs under
no-training terms, and your content stays yours. Conversations,
documents and Ada's output feed no training process.
Where is our data processed?
Core infrastructure, the database and voice transport run in the EU, on servers in Warsaw. AI features rely on the providers listed in our subprocessor register and some processing may take place outside the EEA under appropriate safeguards.
On the Enterprise plan we sign a data processing agreement (DPA)
and set a conversation retention period that matches your
policy.
How does Ada connect to our tools?
Through managed connectors to more than 1,600
tools. Most take one click to authorise through OAuth, some use API
keys. Ada handles the authentication, and you configure no webhooks
and no Zapier flows.
How do we check what our instance can actually do?
The platform publishes a capability matrix at
/capabilities. It is a technical inventory of your
instance's features that you can verify yourself, without taking our
word for it.Hire Ada onto your team
Tell us what tools your team uses and what it works on day to day, and we will show Ada in action on your own scenarios. No pressure and no commitment.