A consulting or agency team serving a global client runs on precise language: the exact requirement agreed in the kickoff, the caveat raised in a workshop, the concern a client stakeholder didn't want to put in writing. The problem is that in client work, you don't get to standardize on one language the way you might on an internal team — the client's side and your delivery team often don't share a first language, and neither side gets to pick the other's.
The usual fix is one caption setting for the whole call, or defaulting to English and hoping it's close enough. Both quietly fail here, because a single caption language only helps the people who read that language — everyone else is still working from whatever they can follow live. A translation bot is a better fit for this: it joins your Google Meet, Microsoft Teams, or Zoom call, gives each participant live captions in the language they choose — not one setting for the room — and afterward produces a translated transcript and AI summary both sides can act on.
This is the hub for how consulting, agency, and professional-services teams use it — the client kickoff, the status call, the discovery workshop, the delivery or QBR-style review, and the meetings that bring a partner or channel firm into the room too — and where each of those has its own playbook, I've linked it below.
When the client and your team don't share a language, one caption setting doesn't help
The scenario repeats across the whole client relationship: a kickoff where you're agreeing what's actually in scope, a status call where a client stakeholder needs to flag that something's off track, a workshop where you're drawing out requirements, a delivery or QBR-style review where you're presenting progress and hearing pushback. In every one of these, whichever side is less comfortable in the meeting's default language says less than they mean. A client hedges a concern instead of stating it plainly, because raising an objection precisely is hard work in a second language. A specialist on your team simplifies a caveat about a tradeoff instead of explaining it in full, for the same reason. Either way, you're not actually disagreeing about the work — you're each working from a softened version of what the other meant, and on a client account that gap tends to surface later as a scope disagreement or an expectation nobody remembers agreeing to.
Let the client and your team each follow in their own language
The fix is to stop guessing which side should accommodate the other. The bot joins the call and each participant picks their own caption language — the client stakeholder reads one, your account lead reads another, a specialist dialing in for one agenda item reads a third — all generated from the same speech, live, in about two seconds. Sageio translates into 20+ languages, so this works in whatever language the client's team actually operates in, not only the languages your delivery team happens to already speak. Because it's near real time rather than a stop-start relay, the client can raise the objection while it's still live in the conversation, and your team can push back or clarify in the moment — the same shift that makes running a sales or client call across languages work without an interpreter slowing every exchange down, whether it's a first kickoff or a recurring status call.
A discovery workshop is closer to a structured interview than a status update — you're drawing requirements, priorities, and objections out of people who think most precisely in their own language, not just informing them. See running a user-research interview in the participant's own language for the same logic applied to eliciting detail rather than reporting it — the mechanics are the same whether the person across from you is a research participant or a client stakeholder in a workshop.
The translated transcript is the record both sides can act on
Live captions get you through the call; the transcript is what the engagement runs on afterward. Within about five minutes of the call ending, a searchable, translated transcript and an AI summary are ready — what was scoped, what got pushed back on, the action items and who owns them. Because it's translated, the client and your delivery team are reading the same record in their own languages, not two different memories of one conversation reconstructed from separate notes. That matters most on a delivery or QBR-style review, where "what did we actually agree to" is the question that decides whether the next phase goes smoothly — and it matters just as much when the review involves a partner or channel firm sitting between you and the client; see running a partner or channel meeting across a language border for that three-sided version of the same problem.
Be honest about what this is — and isn't
This is a communication and record-keeping tool, and on a client account the line is worth drawing plainly. Sageio helps your team and the client understand each other precisely and gives you an accurate translated account of what was discussed. It is not the SOW or the contract. The transcript is a record of what was said on the call — not a binding document, not a change order, and not a substitute for getting a scope change confirmed in writing the way your engagement already requires. If the transcript and the signed SOW ever disagree, the SOW governs. Real-time captions arrive in about two seconds — near real time, not instant — which is the right pace for a discussion, not a promise of a live, word-perfect legal record. The summary and transcript are AI-generated, so review them before you rely on them, the same way you'd check any draft record before it goes into a client file. And disclose the bot: it joins as a visible participant, so tell the client it's there to translate — on a client call, being upfront about it is simply good practice.
How to do it with Sageio
- Add
bot@sageio.netto your Google Meet calendar invite. It joins on its own — no extension, nothing for the client to install. - Each participant picks their caption language. The client reads one, your team reads another — all from the same speech, at the same time. (Sageio translates into 20+ languages.)
- Run the meeting normally. Translated captions appear in about two seconds, so the discussion keeps its pace and a client's objection doesn't get lost waiting on a relay.
- Afterward, a searchable translated transcript and an AI summary arrive within about five minutes, shared at the host's discretion — the record for this engagement.
(Today this runs on Google Meet, Microsoft Teams, and Zoom.)
How to test it before a real client call
Don't let a live kickoff be the first time you see it work. Run a mock with a colleague in a language your client's team actually uses — one of you playing the client stakeholder raising a concern in their own language — and check two things. First, do the captions hold the specific detail: a number, a date, a caveat, not just the general shape of the sentence. Second, does the transcript read right to a native speaker of that language — would they agree it's an accurate account before it goes into a client-facing record? If you're rolling this out across more than one account team, see how to run a meeting-translation pilot in your org for a structured way to test it before it becomes how you run client meetings generally.
Frequently asked questions
Can clients and my delivery team each read the meeting in their own language? Yes. Captions are per-person, not one setting for the whole call — the client reads in the language they choose and your team reads in theirs, generated live from the same conversation in about two seconds.
Does everyone need to install something? No. The bot joins the call once it's added to the invite; attendees just pick which language they want to read in. There's nothing for the client to download or set up on their end.
What do we get after the call? A searchable, translated transcript and an AI summary, ready within about five minutes of the call ending. Both sides can read it, search it, and refer back to it — it's the shared record of what was discussed.
Is the transcript a contract or SOW? No. It's a record of what was said on the call, not a binding document. If a scope change or commitment comes up in conversation, it still needs to be confirmed in writing through your normal SOW or change-order process — the transcript backs that up, it doesn't replace it.
Which platforms does this run on? Google Meet, Microsoft Teams, and Zoom today.
Is it private? Sageio doesn't use your meeting content to train AI models, and its AI vendors are contractually restricted from doing the same. Audio is processed in memory and discarded — only the text transcript and summary are kept, encrypted, in the region you choose (US, EU, or APAC). Enterprise customers can self-host the entire stack. Every plan starts with a free 60-minute trial, no credit card required; after that, Professional is $49/month and Teams is $99 per seat/month, with Enterprise custom-priced.
The next time a kickoff, a status call, or a delivery review runs across a language your client doesn't share with your team, you don't have to guess who's supposed to accommodate whom, or find out after the fact that a concern got softened into silence. Add the bot to the invite, let each side follow in the language they think in, and leave with a translated record you can both point back to. For the broader picture of running cross-language work this way, see real-time translation for remote teams, and try it on your next client call.