For outbound contact centers
Intelligent dialer control
Your dialer dials. Your agents talk. Our AI decides for each lead: whom to call, when, how often, from which number, and with which agent.
+15% contact rate in an A/B test against the control group without AI · view the result
Three levels of dialer control
Every outbound operation follows rules. The question is who writes them.
- 1
Conventional approach
Rules written by people.
Example:
Call IT managers on Friday afternoons.
Rules can account for only a few factors, and the need to update them often becomes apparent too late.
- 2
Conventional predictive AI
A ready-made model trained on your data.
It learns from your data and rules, even daily. But its architecture and data sources are predefined. What they do not account for, the model never learns.
- 3
Tailored predictive AI
By Your Easy AI.
Each campaign gets its own AI, with an architecture designed from scratch and enriched with relevant public data, including data from your client’s industry. This used to require a data scientist. Our Data Scientist AI mirrors their approach.
Levels 1 and 2 come ready-made. Level 3 used to require a data scientist. Now it is affordable.
How our AI works
No new system, no new process. Your campaign AI sits between your data and your dialer.
provides the call data
Through an API: calls, outcomes, shift schedules, and the client’s master data.
returns the call plan daily
For each lead: when, how often, from which number, and with which agent.
make calls as usual
With the right leads at the right time.
Measured in live operations, not in a lab
The AI plans calls for one group; a control group continues as before.
“Using the Your Easy AI platform, we built our own AI to predict the best time to call each lead. In an A/B test, we increased our first-call contact rate by 15%. Particularly relevant for us: the platform works for both B2B and B2C. We’re now rolling out the AI to further calls.”
Our Data Scientist AI works like an experienced data scientist — for every campaign, from day one
There are two AIs. Your campaign AI decides for each lead who is called, when, how often, from which number, and by which agent. Our Data Scientist AI decides how this campaign AI is built. A data scientist learns through experimentation which AI suits which data; ours has completed over 100,000 such experiments.
What it decides for each campaign AI
- Data cleaningIs raw dialer data enough? Yes. It automatically resolves gaps and inconsistencies.
- Public dataWhich external data helps, including data from your client’s industry?
- FeaturesWhich signals from your data should the model use?
- ArchitectureWhich model fits this data precisely?
Our own reinforcement learning algorithm. No language model (LLM) behind the scenes, no wrapper around ChatGPT.
Call data in, call plan back, through the same channel. Your existing systems stay in place.
Processed exclusively in Germany, pseudonymized and GDPR-compliant.
The people behind it
Two mathematicians with over 20 years of combined AI experience — and a team refining the Data Scientist AI with real customer data.
Patrick ImckeCEO & Co-FounderM.Sc. Mathematics, completed in half the standard study time · “Top Talent Under 25” (Germany, Austria, Switzerland) · North Rhine-Westphalia U16 chess champion
Jan DetteCTO & Co-FounderM.Sc. Mathematics, minor in Computer Science · programming since age 12 · state-level Jugend forscht science competition winner · Ruhr region under-18 chess champion
Cedric NguepnangHead of Data ScienceMASt Mathematics, University of Cambridge
Sven LeitgeberData ScientistM.Sc. Mathematics, University of Duisburg-Essen
Athanasia TheodoridouMarketingOnline Marketing, IU International University
Shared costs: contact center and client
There are no fixed costs for the contact center.
Commission
A share of the additional value the AI delivers. If it delivers nothing, you pay nothing.
Base fee
A fixed annual fee. The amount depends on the scope: which decisions the AI should make and across how many contact centers.
Frequently asked questions
Does the AI speak to our customers?
No. Only your agents are on the phone.
Our dialer already has “Best Time to Call”. What’s different?
Dialers offer level 1 or 2: fixed rules or a ready-made model. We build level 3: an AI newly designed for each campaign and enriched with public data from your client’s industry.
Which dialers does it work with?
Any dialer with an API: call data out, call plan back.
What data do we need?
Pseudonymized call history from your dialer: attempts, times, outcomes, and shift schedules. Plus the client’s master data. Raw data is enough.
What does it cost?
The contact center pays a commission on the additional success; the client pays an annual fee based on scope.
Is Your Easy AI based on ChatGPT?
No. It uses a reinforcement learning algorithm developed in-house, with no language model behind it.
Is it GDPR-compliant?
Yes. Data is processed exclusively in Germany and pseudonymized: we see only lead and agent IDs; you retain the link to individuals.
Which of your campaigns is a good fit?
We’ll work that out in a 30-minute conversation — no data required beforehand.