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Ninjabot

An agent that is better in two months. Not by itself.

The analysis scores each conversation, finds the pattern across all of them and says what to change in the setup. A person who understands selling approves the change.

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Runs on trial and live conversations · Vividbooks went 21% to 26% in two months

One conversation is a sample. What they have in common is the useful part.

You run the analysis over one agent’s latest conversations. Each is scored on its own, then all of them are folded into a single briefing: how well the agent held its brief, what came of it, and what to change in the configuration. A person makes the last step.

1Conversations in the sample
Completed
26 %
Talking, no conclusion
34 %
Stalled on an objection
22 %
No reply
18 %
2What repeats across all of them

  • The agent offers a slot before confirming the topic is live at all.

    23 of 60 conversations

  • It answers a price objection in general terms instead of asking about budget.

    14 of 60 conversations
3What changed in the training
  • The question about whether the topic is live now comes before the slot.
  • Three sentences about payback added to the objection handling.
  • Tighter qualifying criteria, so the agent stops passing on what a rep would reject anyway.

A person who understands your sales lets the change through. The agent does not rewrite its own qualifying criteria.

Conversion at Vividbooks

21 %26 %

Over two months of tuning, with five per cent more people replying.

The split of the sample and both findings illustrate what the analysis looks like rather than reporting one customer’s numbers. The Vividbooks figures are real and the customer approved them. AI analysis is part of the Extended plan and above.

How you work with it.

01
You read it weekly

While the numbers settle. After that, whenever you change the product or the offer.

02
You choose what goes through

A recommendation is a proposal, not an instruction. Leaving one alone is a legitimate answer.

03
Your own person approves it

Somebody who understands your sales. Not a technician, and certainly not the agent itself.

04
Next week shows whether it worked

Same sample, same scoring, a new number. Without that check, tuning is guesswork.

This is why conversion climbs rather than plateaus.

A campaign nobody tunes gives you its number in month one and the same number ever after. What makes the difference is not a better model but that once a week somebody looks at hundreds of conversations at once and finds the fault that is invisible in any single one of them.

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The rest of the platform.

Eight things behind Alex and Bea. This is one of them.

Built-in CRMContacts, deals and history in one place.ConfiguratorTwo hours to set the AI up.AI briefingAn approach for one specific contact.AI testingHundreds of conversations before the first real one.
AI analysisWhat to change in the training, weekly.You are here
Manager overviewRun it on numbers, not on a feeling.Know-how databaseThe AI answers from your material, not a script.IntegrationsTo whatever you already use.

What people ask about this part.

Does the agent change its own setup?

No. The analysis proposes and a person approves. An automaton rewriting its own qualifying criteria is exactly what nobody wants pointed at their customers.

How often is it worth reading?

Weekly while the numbers settle. After that, whenever you change something in the product or the offer.

Does it work on trial conversations?

Yes, and that is where it starts. Hundreds of trial conversations produce the first list of fixes before a single live message goes out.

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