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AI automation and AI agents for your company

AI automation for companies is no longer a technology of the future — it is a competitive advantage today. Generative AI models combined with your business data can automate tasks that used to require human intelligence: answering customer questions, classifying documents, generating content, extracting data from invoices and contracts.

social.tech develops AI solutions that integrate into your existing processes — CRM, email, WhatsApp, your website or your warehouse system. We do not build AI "proofs of concept", but production-ready solutions with a measurable ROI: shorter handling times, less manual work, higher customer satisfaction.

We work with OpenAI, Anthropic Claude and Google Gemini models — depending on the task and the budget — and comply with the requirements of GDPR and the EU AI Act.

If documents must not leave the company, see Private AI on your servers.

Not what you are looking for? AI solutions — a comparison

What is AI automation?

AI automation is connecting generative AI models to a company's data and systems in order to automate tasks that used to need a person: answering customer questions, classifying documents and extracting data from invoices and contracts. AI automation is needed when employees retype data from PDFs and emails by hand or answer the same customer questions over and over again. An AI agent does not only answer, it also acts — it reads data in your systems, prepares a document or creates a record. A simple AI chatbot is developed in 2–3 weeks and costs from ~3,000 EUR. For Dzīvības poga, social.tech deployed an AI assistant that sorts the shared mailbox and prepares a draft reply; every action happens after approval in Telegram. Typical AI automation solutions:

  • AI chatbots and agents on WhatsApp, Telegram and email;
  • document processing;
  • AI search in your documents and knowledge base;
  • automatic reports for management.
What you get

What does a company get from AI automation?

AI automation gives a company 24/7 customer service on the website, WhatsApp or Messenger with escalation to an operator, data extraction from invoices and contracts without retyping, content generation in your brand voice and internal search across documents. social.tech builds production-ready solutions, not proofs of concept, and complies with the requirements of GDPR and the EU AI Act.

AI chatbots and assistants

24/7 customer service on your website, WhatsApp or Messenger that knows your products, prices and policies. Automatic escalation to an operator for complex questions.

Document processing

Automatic data extraction from invoices, contracts, CVs and waybills — the data reaches the system without being retyped by hand.

Content generation

Product descriptions, blog articles, email campaigns, social media posts — a consistent brand voice, generated at scale.

Process automation

Zapier / n8n / Make integrations with AI decision-making — lead qualification, email routing, report generation.

AI search in your data

An internal "ChatGPT" for your documents, wiki, CRM or knowledge base — employees find answers in seconds, not hours.

GDPR and EU AI Act compliance

Data processing in the EU, masking of sensitive data before it is sent to the models, audit log. We advise on the legal requirements.

AI agents

Where AI agents work

An AI agent is more than a chatbot: it does not only answer, it also acts — it reads data in your systems, prepares a document, sends a letter or creates a record. We configure and deploy agents, starting with one specific task and expanding them once the first one works.

Customer service

The AI agent answers customer questions on WhatsApp, Telegram and by email at any time of day, in several languages, with access to your product and price data.

Sales assistant

Qualifies leads, prepares draft offers, follows the status of deals and reminds managers of the next steps.

Data processing

Processes invoices, statements and orders: extracts the data from PDFs and emails and enters it into your system.

Internal assistant

Employees ask the agent questions in Slack or Teams — about procedures, project status or customer history.

Scheduling and reminders

The agent manages meetings, sends reminders and coordinates the team's calendars.

Automatic reports

Regularly collects data from your systems and sends a ready report to management.

Capabilities

Channels, integrations and security

Cloud AI vs private AI
Feature Cloud AI Private AI on your servers
Models OpenAI, Anthropic Claude, Google Gemini — depending on the task and the budget Open-weight models (Apache 2.0)
Where the data is processed Data processing in the EU; sensitive data is masked before it is sent to the models Models, index and logs stay inside your perimeter; outbound traffic is closed
Data for model training Solutions where your data is not used to train models (e.g. the Anthropic API commercial terms prohibit it) Runs without the internet
Usage fee A fee for using the AI models, usually 50–500 EUR/month depending on volume No licence fee per user or per token
Getting started Simple chatbot — 2–3 weeks; basic AI agent deployment — 1–2 weeks 8-week pilot on a rented physical server in the EU

OpenClaw deployment

OpenClaw is an open-source AI agent that runs on your server. We configure it for your processes, data sources and communication channels.

Communication channels

WhatsApp, Telegram, Slack, Microsoft Teams — the agent works where your team and customers already are.

Email automation

Classification, prioritisation and forwarding of incoming email, and draft replies.

Action chains

API calls, database queries and commands on the server — the agent carries out multi-step tasks automatically.

AI workflows

Document analysis, text generation, data classification and anomaly detection as part of your process.

Security

Isolated execution in Docker containers, an audit log, access control — the agent sees only what it needs.

How we work

What are the 4 steps of deploying an AI solution?

Deploying an AI solution takes four steps. Analysis: a free consultation, a review of your processes and a fixed budget. Development: iterative sprints, starting with a quick POC to confirm the value. Rollout: integration with your existing systems, team training and a gradual launch. Support: maintenance and development under an SLA.

01 / 04

Analysis

We start with a free consultation and study your business processes, goals and user needs. The result is a clear technical specification, a list of features and a fixed budget.

02 / 04

Development

AI-accelerated development in iterative sprints. You see the progress at every stage and can give feedback. The code is yours, with no vendor lock-in.

03 / 04

Rollout

We migrate the data, integrate with your existing systems, train the team and run user testing. The launch is gradual, so day-to-day work is not disrupted.

04 / 04

Support and SLA

After the launch we provide maintenance, security updates and feature development under an SLA. Response time — up to 4 hours on a working day.

Price

How much does AI automation cost?

A simple AI chatbot — from ~3,000 EUR. Document processing automation — from ~8,000 EUR. Full AI integration with your systems — from ~15,000 EUR. social.tech prepares an exact estimate after a free AI potential audit. LIAA digitalisation support can cover up to 50% of the project cost.

We help you apply for the LIAA digitalisation support grant — EU co-funding can cover up to 50% of the project cost.

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Projects

Projects in this area

FAQ

Frequently asked questions

A simple chatbot takes 2–3 weeks, a basic AI agent deployment 1–2 weeks, document processing automation 4–8 weeks, and a complex AI solution with integrations 2–4 months. We start with a quick POC (proof of concept) to confirm the value before full development.

A one-off development fee from ~3,000 EUR + a fee for using the AI models (usually 50–500 EUR/month, depending on volume). We prepare an exact estimate after studying your processes.

Yes. We offer solutions where your data is not used to train models — for example, the Anthropic API commercial terms prohibit it. The AI agent's commands run in isolated Docker containers with an audit log. If documents must not leave the company, there is a separate service for that — "Private AI on your servers".

Yes, AI adoption is a priority in the LIAA digitalisation programme. We help prepare the application, and the support can cover up to 50% of the cost.

OpenClaw is an open-source AI agent that is controlled from WhatsApp, Telegram, email or via an API. It is not our product — we deploy and configure it: we connect your data sources, skills and access restrictions.

Yes. We build custom skills that connect to your API, database or internal system — CRM, ERP, warehouse management and others.

No — the AI agent takes over routine tasks, but people make the decisions. Employees focus on customers, relationships and tasks that require judgement.

Maintenance costs start from €300/month, depending on how much the agent is used and how many integrations it has. They include API costs, monitoring and regular updates.

No, an AI solution can be introduced without any prior digitalisation — for example, a chatbot with a document base or email automation. If you do not have a CRM yet, we offer to develop one in parallel.

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The first consultation is free. An answer within 24 hours. No hidden fees.

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