Most companies we work with face the same issue at the outset: they know AI can help, but don't know how. where exactly to start. The result is either paralysis (waiting for the "right" moment) or costly pilot projects that last months and deliver uncertain results.

However, there are five business processes that meet three key criteria: they can be automated quickly (in days, not months), saves measurable time from the very first week, and do not require an IT department nor data scientists. Let's take a look at them.

Tip: Would you like to train your team before launching automation? BeeSkills.cz offers practical AI courses for companies, workshops that prepare your team to work with AI tools.

Process No. 1

Email sorting and replying

The average employee in a company spends 2.5-3 hours daily on email. A large portion of this consists of repetitive inquiries, internal forwarding and sorting, which AI can handle significantly faster and without errors.

How it works

An AI agent (for example, connected via Make.com or n8n to GPT-4) reads incoming emails, categorises them by type (order, complaint, price inquiry, internal request), and either automatically responds to routine queries or assigns the email to the appropriate person with a contextual summary. Sensitive or non-standard emails always require human approval.

Practical implementation

Simplest start: Gmail or Outlook → Make.com → GPT prompt for categorisation → automatic reply from template or draft for approval. Setup: 1-2 days. Required: define email categories and prepare reply templates (30-60 minutes of work).

Time savings 5-8 hours/week
Deployment time 1-2 days
Make.com n8n GPT-4 Gmail API
Process No. 2

Invoices and accounting documents

Processing incoming invoices is a classic example of routine and time-consuming work: receiving the invoice, identifying the supplier, amount, due date, assigning it to a job order, and entering it into accounting software. AI handles this in seconds with over 95% accuracy.

How it works

AI (OCR + LLM) extracts key fields from PDF invoices, IČO, amount, VAT, date, invoice number. This data is automatically entered into accounting software (Pohoda, Money S3, Fakturoid, iDoklad). Exceptions (illegible invoices, unknown suppliers) are flagged for manual processing.

Practical implementation

Recommended stack: incoming invoice email → Make.com → Azure Document Intelligence (OCR) → API to Pohoda or Money S3. For companies without an API: export to Excel and import into accounting software. Setup: 3-5 days (depends on integration with accounting software).

Time savings 3-6 hours/week
Accuracy 95-98 %
Deployment time 3-5 days
Make.com Azure OCR Pohoda API Money S3
Process No. 3

Customer service, first point of contact

The first response to a customer determines whether they stay or leave. Yet 60-70 % of inquiries in customer service are repetitive questions about availability, prices, delivery, returns or order status. AI handles these inquiries 24/7 and instantly.

How it works

An AI chatbot (or email agent) handles the customer's initial contact. It is trained on your e-shop or company FAQ and connected to the order database. It automatically responds to routine queries and escalates complex cases to a live operator with a conversation summary.

Practical implementation

Fastest start: OpenAI Assistants API + your FAQ document + web chat integration (Tidio, Crisp or custom widget). If you run an e-shop on Shoptet or WooCommerce, ready-made integrations are available. Deployment time: 2-4 days for the basic version.

Time savings 4-10 hours/week
Availability 24/7
Deployment time 2-4 days
OpenAI Assistants Tidio Shoptet n8n
Process No. 4

Reports and data summaries

How many hours a week does your team spend compiling reports? The average for medium-sized companies is 3-5 hours per person per week, these are figures we repeatedly see in analyses. Yet this is work that is perfectly automatable: the data is available and the report format is repetitive.

How it works

Automation collects data from various sources (CRM, accounting system, Google Sheets, e-shop platform), has AI compile a report in the specified format and sends it by email or uploads it to Google Drive. Optionally: AI also interprets key trends and deviations: not just figures, but also commentary on "what is happening and why".

Practical implementation

Stack: Zapier/Make.com → Google Sheets or database → GPT-4 for text generation → email or Slack notifications. For Pohoda/Money S3: CSV export → automatic processing. Deployment time: 2-3 days. The largest investment is in defining the report format.

Time savings 3-5 hours/week
Deployment time 2-3 days
Make.com Google Sheets GPT-4 Slack
Process No. 5

Planning and scheduling

Coordinating meetings, managing calendars, assigning tasks within the team, seemingly small matters that together create significant time waste. Especially in service companies, where scheduling technicians or consultants is often a complex logistical challenge, AI delivers dramatic improvements.

How it works

The AI agent monitors calendar availability, customer requirements and team preferences. It automatically suggests or directly schedules meetings, sending confirmations and reminders. In service companies: the AI assigns technicians to jobs based on location, availability and qualifications.

Practical implementation

Simplest option: Calendly or Cal.com with AI extension + Google Calendar integration. For advanced technician scheduling: n8n or Make.com with custom assignment logic. Deployment time: 1-5 days depending on complexity.

Time savings 2-5 hours/week
Deployment time 1-5 days
Cal.com Calendly n8n Google Calendar

Total sum: If you implement all 5 automations, the average saving is 17-34 hours per week For a company of 5-10 people. At an hourly rate of 500-800 Kč, this represents savings of 8,500-27,200 Kč per week, or 340,000-1,000,000 Kč annually. Implementation investment: typically 30,000-80,000 Kč as a one-off cost.

Where to start: Recommended order

We recommend starting with the process that burdens you (or your team) the most and is the least creative. This is most often emails or invoices: both deliver quick results and have relatively simple implementation.

  1. Week 1: Analyse where you spend your time, time-track a typical working day
  2. Week 2: Launch automation for one process (we recommend email or invoices).
  3. Month 2: Add the second and third processes and collect data on savings.
  4. Month 3-4: Remaining processes and optimisation of what works

Find out where you save the most

flylight.ai will carry out a free analysis of your processes and recommend where to start. A specific estimate of savings in 5 minutes.

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