Number of employees
License duration
8.99€6.29€ /month
75.52€ per 12 Months
Starta.one
Instead of spending '4 hours at month-end' calculating salaries in Excel, Starta.one calculates them automatically from every closed order: commission on services, hourly rate per shift, bonus on shampoo sales — any combination. Every specialist sees 'how much I earned today / this week / this month' at any time — that's both transparency and motivation. AI tells you who on your team is due for a rate review because their performance has grown.
Free plan forever · no credit card · first salary scheme set up in 5 minutes
Starta.one is an AI CRM for service businesses. It combines online booking, client management, finances, team scheduling, and marketing in one system — configured and operated by AI. Over 1,000 businesses use Starta.
On the 30th, the admin opens the order log, opens Excel, and starts calculating: 'Masha did 32 orders — 18 colouring (×40%), 8 haircuts (×35%), 6 treatments (×30%) + 5 shampoos sold (×15% bonus).' 30 minutes per specialist. For 5 specialists — 2.5 hours. Plus verification, plus 'oops, an error here,' plus recalculation. 4–6 hours of admin time that could have been spent on clients. And errors in 5–10% of cases — conflicts with specialists the next day.
Masha works all month, but 'how much she's making' is unknown — to her or to you. On the 30th you give her the number: '$320'. She says: 'less than last month, why?' You say: 'because fewer colouring jobs, more haircuts.' She says: 'I would have pushed more colouring if I'd known.' Without live earnings visibility, specialists don't optimise their behaviour — and you lose margin from the team's untapped potential.
Masha comes to you: 'I want 45% instead of 40%.' Your decision is driven by emotion: 'she's been here a long time, she's a good specialist, I don't want to lose her.' But objectively: does Masha bring more margin to the business through revenue, or not? Will her 45% eat into profitability? Without data on utilisation, client retention, and actual margin, you either agree and lose margin, or refuse and lose Masha.
Every specialist gets their own mix: 40% for a haircut, 35% for colouring, 30% for a children's haircut, $5 shift rate, 15% bonus on products sold, $12.50 fixed bonus for converting a client to a new service. Any combination — set up once, then the system calculates automatically.
A specialist closes an order 'colouring + haircut' for $30 — the system instantly calculates their share (colouring 40% × $20 + haircut 35% × $10 = $11.50). No 'I'll consolidate at week-end.' By the 30th you see the exact payout amount for each person, with order-level detail.
Every specialist in the mobile app sees: 'today: 4 orders, earned $21', 'this week: $95', 'this month: $362.50 (on track for $450 target)'. They see which services earn more — and subconsciously optimise their behaviour. You get an extra performance boost without saying a word.
Month-end: 'Payroll Register' — a list of all specialists with amounts due, deductions (materials, advances), ready for payout. Export to bank transfer or cash — the payout is recorded, history is saved. No more 'give me a day to consolidate.'
Every quarter AI analyses: 'Sashko over 3 months raised utilisation from 62% to 81%, client retention at a record 48% — consider a premium scheme (45% instead of 40%)'; 'Masha has been at 70%+ of team revenue for 4 months straight — risk of her negotiating a raise, better to initiate the conversation yourself.' You never miss the moment when you need to shift from reactive to proactive.
When a specialist asks for a raise (or AI suggests one), AI calculates: 'Masha is currently 40% of $1,500 revenue/month = $600 salary. +5% (45%) = +$75/month = +$900/year. Masha's margin is currently $300/month — after the raise it drops to $225/month. If Masha leaves to a competitor in 6 months, the loss = $1,800 in annual margin. The economics with the raise are positive over 8+ months.' You make decisions on numbers, not emotion.
For each specialist: commission on services (can vary by category), shift rate (optional), bonuses for sales / new clients / premium services. Templates for typical businesses (barbershop, nail salon, spa) are ready — copy and adapt.
Every closed order → payroll calculation for the specialist. Every product sale → bonus. Every shift → rate. All automatic, linked to specific orders for transparency. The specialist sees it live in the mobile app; you see it in the report.
On the 30th: 'Payroll Register' is ready in 1 click — amounts, deductions, payout recorded. AI tells you who to review rates for (based on growth data) and what the economics of that review look like. Instead of 4–6 hours in Excel — 5 minutes of review + decision.
The most common alternatives to integrated payroll calculation are Excel formulas, 'the specialist says what they made,' or corporate 1C Payroll. Here's why these don't work for a service business with under 50 employees:
Works for up to 3 specialists. With 5+, you get a maze of different schemes (Masha 40%, Sashko 35%+rate, Anya 30%+bonuses for new clients), and one specialist's Excel formula takes half an hour — for the whole team, 4–6 hours of admin time every month. Errors in 5–10% of cases — each one is a conflict with a specialist. The specialist doesn't see their earnings until month-end — zero motivation and behaviour optimisation. Excel payroll is a proxy for 'we don't have a professional tool.'
The specialist keeps their own records (in their head, in notes) and at month-end says '$462.50'. You pay. A month later you discover: 3 orders were duplicated, one had the wrong price, another forgot the discount — it should have been $395. −$67.50 per specialist in inaccuracy. For 5 specialists that's −$337.50/month 'lost in paperwork.' Plus no objective basis for evaluating performance — it's all 'the specialist says so.'
Corporate HR systems are designed for companies with 50+ employees and a dedicated HR department. Setting up 1C for a service business takes 1–2 months of consultants and $2,500–$5,000. There's no integration with your bookings/orders — you have to export CSV weekly. The result: 1C is good at calculating rates and taxes, but 'salary as a % of a specific service in a specific closed order' isn't out of the box. For a salon with 5–20 specialists — overkill that creates more work than it saves.
AI will analyse your business in 5 minutes and show: how many hours are currently spent on manual payroll calculation, the margin growth potential from live earnings visibility for your team, and who on your specialist team is already due for a rate review.
Access to StartaAI
Extended access to StartaAI
14 days free • No card required • We'll transfer your data from another CRM
Payroll calculation is available in Starta.one Pro — with no limits on the number of employees or scheme complexity.
Yes — this is one of the key advantages. Every specialist in the mobile app sees: 'today: X orders, $Y earned', 'this week: $Z', 'this month: $A (on track for $B target)'. You control what information each role can see (you can, for example, hide total revenue from specialists and show only their salary portion).
Yes. For each specialist, rates are configured separately by service category (40% for a haircut, 35% for colouring, 30% for a children's haircut), by shift (different rate for day vs night), by client type (premium for working with VIP clients). You can combine: shift rate + service commission + product sales bonuses + fixed premiums for specific goals.
AI does two things: 1) **Tells you who's due for a rate review** — every quarter it analyses each specialist's metrics (utilisation, client retention, revenue, margin) and recommends who to move to a premium scheme (raise to retain) or proactively start a conversation about terms before the specialist starts negotiating; 2) **Calculates the economics of a raise** — when a specialist asks for +5% (or AI suggests it), AI calculates specific numbers: '+$75/month salary, margin −$75/month, breaks even at 8+ months given the risk of the specialist leaving to a competitor.' You make decisions on numbers, not emotion.