Built for how Europe buys AI.

Why is this harder in Europe than it should be?

Because two clocks run at once. Your deals slip on the sales clock — a buyer goes quiet in week three, a close date moves for the fourth time, a renewal stops being mentioned — and the tool that would have caught it runs on the review clock, which is measured in quarters. By the time the answer arrives, the quarter it would have saved is closed.

You should not have to find out in the QBR. You should not have to choose between a number you can defend and a review your DPO can sign. And you should not be the person explaining to the board that the renewal went quiet in March, was noticed in June, and that the software which would have flagged it was still in legal.

SalesSynq spots at-risk deals early and tells your team exactly what to do next. The reason it is quick to review in Europe is not that we found a shortcut. It is that the decisions are made by code you can inspect rather than by a model whose output nobody can reproduce, and that has been true since the first commit.

What does getting started actually look like?

Three steps, and the first one costs you nothing and needs nothing from us. European buyers usually run it in the other order — meeting first, review later — and that is the order that turns a good quarter into a slow one.

1. 1

   Send your reviewer the disclosure

   It is a public page: what the system does, where AI is involved, where it is not. No account, no NDA, no discovery call. Your DPO can start reading before you have taken a meeting, which is the difference between a two-week review and a two-quarter one.

2. 2

   Connect your CRM, read-only

   A few minutes, and nothing in your CRM changes. Every deal is scored against the evidence behind it rather than the stage it claims, so the deals that have gone quiet surface first — with the reason next to them.

3. 3

   Act while it still matters

   Your team gets the specific next move on the deals that need one, and a person approves anything consequential. Routing a task into a work tool is a separate permission you switch on per tool, and it is refused until you do.

What you get at the end is the calm version of the job: pipeline reviews that stop being a guessing game, a forecast you can take apart in front of finance, and a governance file your reviewer assembled before the contract rather than during it. You walk into the board meeting already knowing which deals move the number.

Does the AI Act actually apply to a sales tool?

Parts of it apply to almost everything, and one part applies hard. Regulation (EU) 2024/1689 prohibits a short list of practices outright — inferring emotions about people in the workplace is on that list — and then asks providers and deployers of most other systems for transparency, human oversight and records that survive being asked about. The phase-in has been amended before, so check the current timetable with your counsel rather than with a vendor page.

The practical consequence for a revenue tool is unglamorous: your DPO will ask what the system does, whether a human is meaningfully in the loop, and whether you can reconstruct why it said what it said. Most sales AI struggles with the third question, because a model that produced a number last quarter cannot be made to produce that same number again.

What is SalesSynq’s own classification?

Preliminary classification, code-anchored control map, counsel review pending. That is the whole claim, stated in the same words on every surface we control, because a classification that gets more confident as it travels through marketing is not a classification.

Underneath it sits a design choice made before the regulation was a procurement issue: the decision is made by code, and the AI only writes the sentence explaining it. That is why the oversight story is short. There is nothing acting on its own, nothing whose answer changes between two identical inputs, and nowhere a generated sentence can quietly become the decision.

What does your reviewer actually get?

A map from the questions European review asks to the thing in the product that answers them — with the boundary of each answer in the same row. Reviewers do not lose confidence when a vendor names a limit. They lose confidence when they find one the vendor did not name.

How do we know a person is really in the loop?

Because the job is split three ways and the pieces never swap roles. The AI writes the sentence; code makes the decision; a person approves the action. The sentence is tied to the decision it explains, so a plausible paragraph cannot detach from the verdict it claims to describe.

• AI help is off, per workflow, until you switch it on. The default is silence, not opt-out.
• Quotes and evidence come from the record rather than the model, so an explanation cannot invent a source.
• Approval sits on every consequential change: the assistant proposes, it does not apply.
• When the evidence is too thin, SalesSynq tells you it does not know instead of guessing — and shows you what it could not see.

What stops this becoming an employee-monitoring tool?

Code that refuses, rather than a policy that discourages. SalesSynq will not produce a scorecard on a named person, and it refuses in two separate places rather than one. Group views never resolve down to an individual. Model-derived emotion, sentiment, tone and personality fields are discarded, rejected by database constraints and excluded from scores and recommended actions.

You can make SalesSynq stricter. You cannot turn it on your people. That is a worker protection first and a procurement answer second, and it works far better in a works-council conversation than a promise ever has — which matters, because a works council that says no in month two costs you the same quarter a slipped deal does.