amaiko vs Sally: A Great Meeting Assistant vs an AI Layer for the Whole Workday (2026)

What Sally does genuinely well

This is the friendliest page in our comparison section, and that is deliberate. Sally is a German AI meeting assistant built in Mannheim, and it gets the things right that most of this market gets wrong. We compete with Sally the way two German engineers compete: with respect, and with a precise account of where the difference actually lies.

It takes the notes so nobody else has to. Sally auto-joins your calls — on Microsoft Teams, Zoom, Google Meet and Webex. Four platforms, not one. For a company whose customers and partners scatter meetings across whatever software they happen to run, that multi-platform reach is a genuine, practical advantage.

Transcription in 35+ languages. A Mittelstand company selling into Europe and beyond runs meetings in more languages than its CRM has fields for. Sally handles them.

Structured summaries, not transcript dumps. Raw transcripts are where information goes to be ignored. Sally delivers structured summaries — the difference between a recording and a document someone will actually read.

And the positioning is right. Sally markets itself explicitly as a Copilot alternative with stronger data protection: DSGVO-compliant, EU-hosted. We make the same argument against Copilot ourselves, so we are hardly going to attack it. A German vendor proving that data protection and good AI are not opposites is good for everyone in this market — us included.

So why does this page exist? Because the buyer who found Sally has exactly the right instincts — Teams-first, data protection non-negotiable — applied to one hour of the workday. The question this page answers is what happens to the other seven.

One slice of the workday vs all of it

The amaiko vs Sally question is not who does meetings better. It is a question of scope: a focused tool for one recurring event versus a persistent AI layer across everything your company does. Four structural differences follow from that.

Meetings end. The workday doesn’t.

Sally’s job begins when a call starts and ends shortly after it does: join, transcribe, summarize, deliver. Everything between meetings — the inbox that fills while you talk, the decisions buried in chats and documents, the systems your operations actually run on — is out of scope by design. amaiko is built for that whole span: it triages your email before you read it, has your morning briefing ready before you open the laptop, surfaces what the meeting at 14:00 needs you to remember from the one three weeks ago, and orchestrates across Microsoft 365 and beyond — SAP, CRM platforms, on-prem systems. A meeting assistant saves you the note-taking. An AI layer works the whole shift.

A summary archive is not a corporate memory

Sally’s structured summaries are genuinely useful documents — and documents are where knowledge goes to wait. Each summary captures one meeting; nothing connects Tuesday’s decision to the contradicting one from March, and finding either is still a search problem. amaiko builds a persistent corporate memory that grows with every interaction: decisions, context, who knows what, why things were done the way they were — from meetings, yes, but also from email, chats and documents. When an employee leaves, their context stays. The measurable effect for amaiko teams: 35% less time spent searching and onboarding up to 57% faster, because new hires inherit a memory instead of a folder of meeting summaries.

Documentation vs action

A meeting assistant documents what happened; someone still has to act on it. amaiko closes that gap proactively: follow-ups appear without anyone asking, commitments made in the call show up where they need to be tracked, and the people affected are briefed before they have to ask. That is the difference between a record of the meeting and a colleague who was in it.

One specialist vs a network of 24

Sally does one job, and does it well. amaiko runs a multi-agent network of 24 specialized AI agents — meetings included, alongside email, research, knowledge linkage and more — that coordinate on complex requests and learn your organization as they work. The meeting agent is one node in the network, not the whole product. See how the agent network operates.

On data protection, we’re on the same side

In most comparisons on this site, data residency is a differentiator. Here it is common ground, and we would rather say so than manufacture a gap. Sally is DSGVO-compliant and EU-hosted, and positions itself against Copilot on exactly that basis — an argument we consider correct. amaiko hosts 100% in Germany and is certified against ISO 42001, the management standard for AI systems — a certification about how the AI itself is governed, on top of the hosting question. If DSGVO is your filter, both vendors pass it. Make this decision on scope, not on a compliance gap that does not exist.

The pricing picture

Sally does not publish pricing our research could verify, so we will not invent a comparison number — ask them directly and you will have the real one.

amaiko publishes its price: from €19.92 per user per month, billed annually — proactive intelligence, the agent network, persistent corporate memory and meeting coverage in Teams included. Whatever quote Sally gives you, you can put amaiko in the spreadsheet today, and you are comparing a meeting line-item against an AI layer for the whole workday.

Who should choose which

Honest segmentation — and Sally earns a real recommendation.

Choose Sally if your requirement is precisely meeting documentation and your calls live across Zoom, Google Meet and Webex as much as Teams. Multi-platform meeting coverage is Sally’s home turf, and a focused tool that does one job well, hosted in the EU, is a thoroughly respectable purchase.

Choose amaiko if the instinct that led you to Sally — Teams-first, German data protection — should apply to your entire workday: meetings and email and knowledge and cross-system orchestration, with a corporate memory that compounds and an AI that acts before you ask. Rollout is a single Teams chat, so the step up in scope is not a step up in project size.

Run both if a meaningful share of your meetings happens outside Teams. Sally documents those calls; amaiko covers the Teams workday around them. They overlap on the meeting hour, not on the other seven.

If you are surveying the wider field of meeting assistants, our roundup of Sally alternatives covers the other contenders. And if you would rather see what an AI layer over the whole workday looks like than read about it: book a demo — one Teams chat is all it takes.