Knowing what happened is not the same as knowing what to trust.
People.ai is built to capture activity at scale. SalesSynq is built to turn that kind of signal into a decision you can check — and it will not score your reps, by design.
People.ai is built to capture activity and attribute it — who touched which account, and when. SalesSynq is built to spot the deals that are slipping and tell your team what to do next. It scores deals and teams, never individual people, so the review your works council runs is short.
Why is the tool that would have helped still in review?
Because it collects data about people, and everyone in the approval chain knows what that can become. So the pilot waits on a works council date, then on a DPO question, then on a legal read — and your pipeline does not wait for any of them. You should not have to find out in the QBR.
The renewal goes quiet and nobody notices until it is gone. The forecast holds all quarter, then moves in the last two weeks. Two quarters of that is a real number, and nobody in the review ever sees it, because the cost of the delay never lands on the people running the delay.
It can be a short review instead. Pipeline reviews stop being a guessing game. Your team spends its week on the deals where the week still matters. Your team gets the warnings, and nobody has to defend a product that could one day be turned on them.
What is each product built to do for you?
One completes the record of what happened. The other decides what that record supports and hands your team the next move. The distinction sounds academic right up until somebody asks the system a question about a person rather than a deal.
What activity capture is built to do
Collect the interactions that happen outside the CRM — mail, meetings, contacts — and attribute them to accounts, opportunities and people, at a scale nobody would maintain by hand. Its published positioning is built around how complete that captured record is.
What SalesSynq is built to do
Catch the deal before it goes quiet. Every deal is scored against the evidence behind it, the ones that need a move come back with the move attached, and you can see exactly what the system looked at to get there.
The question your approvers will ask
Activity data is data about people. Once a system holds a complete record of who did what and when, somebody eventually asks it to rank the people. Whether it can is a question about how the product is built — and it is better answered before you buy than after.
Why that shortens your review
Because the answer here is not a promise in a contract. SalesSynq cannot produce a scorecard for a named employee — the product refuses the request in two separate places, and there is no setting anywhere that changes it.
Everything described here about People.ai comes from its own published material and describes how the product is built. This page makes no performance comparison; selected Clari and Gong case studies elsewhere remain source-bound market context only.
What does it take to get this running?
Three steps, and none of them require a decision about monitoring your team — because that decision is not available. If your approval path is long, start on a pipeline export and connect nothing at all.
- 1
Connect your CRM
HubSpot, Zoho and Freshsales connect read-only in a few minutes, along with calendars, mail, help desk and delivery tools. Nothing in your CRM changes, and nothing about a named person is ever scored.
- 2
See what is actually at risk
Every open deal comes back scored against the evidence behind it. The account where the buying committee quietly shrank to one contact is near the top, with the reason attached.
- 3
Act while it still matters
Each deal that needs a move gets a specific one. The move lands on the deal, never on a person — the product will not accept an individual as the target of a recommendation.
When the evidence is too thin, SalesSynq tells you it does not know instead of guessing — and shows you what it could not see.
Can this be turned on our people?
No. SalesSynq publishes scores for deals and aggregate teams, never performance scores or rankings for named people. That is enforced in the product, not promised in a policy. You can make SalesSynq stricter; you cannot point it at your team. That is not a clause in a contract or a permission an administrator holds — it is five refusals built into the product, and each one fails shut.
- Produce a scorecard, ranking or risk rating for a named employee. The request is refused in two separate places in the product.
- Produce an individual score, ranking or performance metric. Aggregate suppression starts below five by default and has a hard configurable minimum of two.
- Accept an individual as the target of a recommendation. Moves land on deals, not on people.
- Store or use model-derived emotion, sentiment, tone or personality from anyone’s communications. Those fields are discarded and rejected at the storage boundary.
- Serve a numeric score whose correctness certificate fails. The trusted-signal publication threshold defaults to three, with an explicit legacy one-signal or disabled policy available per workspace.
We treat that as worker protection rather than a missing feature. A system that holds a complete picture of who spoke to whom is one product decision away from becoming a monitoring tool, and the only answer that survives a change of management is to make that build impossible rather than merely against the rules.
How do the two treat data about people?
Differently at the root, which is why the answers your reviewers get are so different. Activity capture is built around how complete the record of people is; SalesSynq is built around what a deal decision can be defended with, and treats the person as something it is not allowed to conclude anything about.
| Dimension | SalesSynq | People.ai (activity capture) |
|---|---|---|
| What gets scored | Deals and aggregate groups. Group suppression defaults to five people and can be configured no lower than two; a named individual is not something the product can score anywhere. | Activity, attributed to accounts, opportunities and the people who generated it. Person-level roll-ups are a designed part of the category. |
| What you get back | A Synq Score with the risk breakdown behind it, a quarter scenario you can defend, and a specific next move on the deals that need one. | A completed activity and relationship graph, contact discovery, and the CRM hygiene that follows from automatic capture. |
| How you check a score you disagree with | You open it. The exact evidence it used is saved next to the answer, and the answer can be worked out again in front of whoever is challenging it. | By the completeness of the captured record — the value is that the activity is there at all, and correctly attributed. |
| Whether it can be pointed at your people | It cannot. You can make SalesSynq stricter; you cannot turn it on your team. No setting, key or admin toggle lowers that floor. | Varies by deployment. Person-level activity views and rep-level analytics are ordinary features of activity capture platforms. |
| Judgements about a person | Model-derived emotion, sentiment, tone and personality fields are discarded, rejected at the storage boundary and never used in scores or recommended actions. | Sentiment and engagement scoring appear across this category; where they exist, the limit is typically contractual or a configuration choice. |
| What it changes in your CRM | Nothing, by default. SalesSynq reads; it does not write to your CRM records. Routing a task into a work tool is a separate permission you grant per tool, and it is refused until you do. | Writing captured activity and contacts back into the CRM is the core function of activity capture. |
| What your reviewers can read before you talk to us | What the AI does and what it refuses to do, published at a public web address — no login, no NDA, no sales call first — plus an audit trail whose retained entries cannot be edited. | Typically a trust page and documentation supplied under NDA during procurement. |
This table compares architecture and approach. Descriptions of other tools reflect their published design and are not performance or superiority comparisons.
You can check the Synq Score and the risk breakdown behind it against its own evidence — not every raw signal that fed the pipeline.
What can our DPO check before the first call?
Everything that matters, without asking us for it. What the AI does, what it will not infer and where your consent gates sit are published at a public web address — no login, no NDA, no sales call first. Every AI workflow stays off until you switch it on, one at a time, and every sentence the AI writes is tied to the result it is explaining.
On the EU AI Act, what is published is our own classification of the product, the controls behind it, and where the boundaries are. It is not a certificate, and it is not described as one.
SalesSynq vs People.ai — the questions we get
Get the warnings without the six-month review
Join the private beta and see your own pipeline scored against the evidence behind it — or upload an export first and give your reviewers something concrete to read while you do.
Private beta is invite-only and requires approval. General availability targeted for Q3 2026.
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