AI services for business: 24/7 automation and higher profit

AI services for business means deploying AI agents that answer customers, qualify leads, draft proposals, find new clients and send you a morning report. They are for companies whose enquiries wait until morning and whose staff are buried in routine. Implementation starts at €1,000 and takes from 21 days; the first agent usually goes live in 2–3 weeks.

What “business 24/7” means in practice

We build a team of AI agents for your business. Each has a role, access only to the data it needs and clear limits on what it does alone and what it brings to you for approval.

• AI consultant answers on the website and messengers in seconds, day and night, and books the customer in.
• AI sales assistant qualifies enquiries, estimates price and drafts a proposal.
• AI marketer finds new clients (tenders, jobs, companies with outdated websites) and drafts a personal e-mail.
• AI operator takes tasks by voice or screenshot, completes them and shows the result before publishing.
• AI analyst sends a morning brief with pipeline and pending decisions.

Who AI agents are for

• Night and weekend enquiries wait until morning, and customers contact competitors in the meantime. See slow response to customers.
• Your team answers the same questions about prices, timelines and delivery dozens of times a day.
• Nobody has time to look for new clients because everyone is busy with current orders.
• Staff waste time digging through internal documents, manuals and price lists for answers.

Why it improves profit

Response speed is one of the main factors in whether an enquiry turns into a customer. An agent answers immediately, does not get tired and does not forget to follow up. Your team is freed from routine to focus on complex sales, and you see which strategy actually makes money.

AI agent, chatbot or automation

Solution	What it does	When to choose it
Scripted chatbot	buttons, menus, contact capture, scripted answers	questions are predictable and scenarios are few
Automation	moves data between systems by fixed rules	the process repeats and does not require understanding text
AI agent	understands free-form questions, works with your data, takes actions and hands over to a person	questions vary, context matters and replies should sound like a good sales rep

For more on how agents work in a real business, read AI agents for business.

How we implement it

1. Pick the first scenario. The process with the biggest impact and lowest risk, most often replying to website enquiries.
2. Knowledge base. We collect services, prices, terms, common questions and objections, and agree with you what the agent may say.
3. Limits and approvals. We define what the agent does on its own and what needs your approval: off-list prices, discounts, outgoing e-mails, publishing.
4. Integrations. Website, messengers, CRM and e-mail, so the agent creates leads and tasks where your team already works.
5. Testing on real conversations and launch of the first agent in 2–3 weeks.
6. Growth. We review the action log, extend the knowledge base and add new roles.

How much AI services cost

Option	Price from	Timeline from
First AI agent (e.g. replying to website enquiries)	€1,000	21 days
A team of agents integrated with CRM and e-mail	custom quote	in phases
On-premises deployment on your server	custom quote	custom
AI model usage (billed separately)	typically €20–150 per month	—

The price depends on the number of channels and agent roles, integrations, the size of the knowledge base and security requirements. We estimate model costs up front, and the system can run on your own OpenAI or Anthropic accounts.

We use it ourselves

Our own system, WorkPilot, runs projects and prospecting 24/7: agents pick up tasks from e-mail, Jira and Telegram and prepare fixes with previews, while deploys and outgoing e-mails happen only after approval with Face ID. We bring the same approach to clients.

Examples from our work

• Digital AI university: an AI assistant with course context helps students work through material and helps teachers prepare content; courses are imported in bulk with drafts generated through a batch API.
• University admissions website: an AI assistant answers applicants’ questions about admission and programmes around the clock.
• AI integration with a studio CRM: an MCP server that lets an agent work with tasks, comments, time tracking and documents.

Technology

Claude and OpenAI APIs, custom agents in TypeScript and Python, RAG over your documents, local speech recognition (Whisper), MCP servers and integrations with your CRM, messengers and website.

What to check before choosing a vendor

• Limits and approvals. An agent without guardrails can promise a discount or send an e-mail you never saw.
• Where customer data is stored and exactly what gets sent to the AI model.
• An action log. You should be able to see every reply and action the agent takes.
• An honest model-cost estimate before launch, not after the first bill.
• Hand-over to a human. Complex or tense conversations should reach a person with full context.

Getting started

If you have not yet decided which work to hand to AI and which to plain rule-based automation, start with what a small business should automate first.

Tell us which questions customers ask most often and where your team spends the most time. We will propose a first scenario and estimate both implementation and monthly model costs. Discuss an AI agent for your business.