How much would your business grow?
Describe your company's day with a few numbers and choose how aggressively you want to grow. The agent frees up time — the mode decides where it goes. An optimistic model; assumptions below.
* we don't guarantee growth — the model shows potential. The result depends on the energy you put into the business; the agent gives you time and speed, the running stays yours.
Your everyday
A rough estimate is enough — you can slide the model as much as you like.
// changes recalculate instantly — nothing gets sent
return for every euro put into the plan — — total gain per month
— * we don't guarantee growth — it depends on you🔎 Model assumptions and sources — no fine print
- 75% of emails are routine the agent handles itself; on average 4 min per email, 22 working days a month. Each invoice takes ~20 min; background processes — ~6 h a month. In studies, generative AI speeds up routine writing work by +59%, and activities that take up 60–70% of working time are automatable. // MIT (Noy & Zhang) 2023 · McKinsey 2023
- A fast reply sells: reaching out within the hour, your odds of catching the enquiry are ~7× higher than an hour later and 60× higher than after a full day — so our +10/+25/+40% conversion gains are conservative. // HBR / Oldroyd et al., 2011
- Time invested in the business: roughly every ~8 hours in sales and relationships yields on average 1 new enquiry. Base conversion 25%.
- Decision speed: the agent prepares the data, options and drafts — decisions that waited a week get made in a day. Companies that decide fast make quality decisions 2× as often. // McKinsey Global Survey, 2019
- 25% of invoices are paid late; systematic reminders help collect ~60% of those sooner. European companies spend 73 working days a year chasing overdue invoices — that's exactly what the agent takes over. // Intrum European Payment Report, 2024
- Word of mouth: happy clients bring the next ones — +0.5%/+2%/+3.5% per month by mode. Beast mode aims at the OECD "high growth" bar: >20% a year. // OECD/Eurostat definition
- Efficiency grows: the agent learns your business — +2/+4/+6% per month by mode.
- This is the optimistic scenario — a goal, not a guarantee. On the platform your real numbers land in a log, and you'll see them here too.
We didn't make this model up — the data did.
Independent studies on what speed, AI and being systematic do to a business. Every number with a source.
Reply within the hour — and your odds of catching the enquiry are ~7× higher than an hour later and 60× higher than after a full day. The market's average response time: 42 hours.
HBR · Oldroyd et al., 2011 →Routine writing work with AI happens 59% faster, and reviewers rate the work as better (3.8 → 4.5 out of 7). A controlled experiment with 444 professionals.
MIT · Noy & Zhang, 2023 →In customer service, an AI assistant raises the number of issues resolved by 14% on average — and by 34% for those new to the field. Data from 5,179 agents.
NBER · Brynjolfsson et al., 2023 →That much of working time goes to activities generative AI can automate. And only 20% of organizations make decisions excellently — 61% of decision-making time is spent inefficiently.
McKinsey, 2023 · 2019 →That many working days a year European companies devote to chasing late payments, and ~12% of revenue is paid late. The agent takes this work over entirely.
Intrum EPR, 2024–2026 →The average European SME grows about ~2.5% a year. The OECD "high growth" company bar — more than 20% a year, three years running. The difference is a system, not luck.
EC SME Review · OECD →Picked your mode? The agent is ready to run.
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