AI FOR BUSINESSES

AI implementations that
take work off your team

We build AI agents, assistants and automations for small and mid-sized businesses. We start with one process that costs you time and show the result before going further.

Illustration: an AI assistant organising documents and tasks in a company

What we can implement

The tasks where AI saves your team the most time

Customer support assistant

Answers customer questions on your website and by email using your offer, terms and knowledge base. When it does not know the answer, it hands the conversation to a human with full context.

Lead qualification and handling

Analyzes form submissions, scores fit, enriches your CRM and drafts a reply. Your salesperson gets a ready summary instead of a raw email.

Document processing

Reads invoices, orders and requests for quotation, extracts the data and enters it into your systems. Ambiguous cases go to manual review.

AI for e-commerce

Product descriptions, translations, catalog categorization, support for order handling. Integrates with PrestaShop, WooCommerce or Shopify.

Internal knowledge base

An assistant that answers your team's questions about procedures, products and company documentation. Your data stays under your control.

Automations with an AI step

Classic workflows (n8n, Zapier, Make) extended with steps where a model understands text: sorts messages, summarizes, classifies, drafts replies.

How we work

Five rules we follow in every implementation

  1. 1

    One process to start

    We pick a task that is repetitive, measurable and costs you time. We do not sell "AI for everything".

  2. 2

    A human stays in the loop

    Where a mistake is costly, the agent prepares and a person approves.

  3. 3

    We measure the result

    Before launch we agree on what we count (time saved, number of requests, response time) and review it after 30 days.

  4. 4

    Your data is yours

    We choose an architecture that keeps sensitive data where it belongs. We discuss GDPR before the start, not after.

  5. 5

    Maintenance included in support

    Monitoring, prompt tuning and updates after launch.

Technology

We pick tools to fit the process, not the other way round

Models
Claude API (Anthropic) and other models when a project requires it
Orchestration
n8n (self-hosted), Zapier, Make.com
Integrations
CRM, accounting systems, Zendesk, Google Workspace, PrestaShop, WooCommerce, Shopify, Stripe
Infrastructure
Docker, Cloudflare, your own servers or a cloud of your choice

Starter packages

We agree scope and pricing after a short conversation about your process

AI Audit

For whom

Companies unsure where to start

Scope

Process analysis, list of possible implementations with estimated savings, action plan

Ask for a quote

Pilot

For whom

Companies ready to test one implementation

Scope

One agent or automation, testing, team training, 30 days of support

Ask for a quote

Implementation + support

For whom

Companies with several processes

Scope

Multiple automations, integrations, ongoing support and development

Ask for a quote

For existing website and store clients: a free initial analysis of where AI can help.

Who it is for

We will tell you honestly if AI is not a good idea in your case

Works well when

  • the same type of question or document comes back every day
  • your team spends hours copying data between systems
  • response time to customers is currently the bottleneck

We do not recommend it when

  • the process changes weekly and has no rules at all
  • you have no access to the data the agent would work on
  • you expect AI to replace your whole support team without oversight
CASE STUDIES

Already working for our clients

Three implementations in small businesses. No client names, real time before and after.

Neighbourhood shop

Stocktaking from monthly reports

Before

1-2 days

After

about 45 min

Problem

The monthly stocktake was counted by hand and took up most of the owner's work for one or two days.

Solution

The system collects the reports from the whole month, calculates stock levels and flags items that do not add up. The owner only checks the discrepancies and approves the result.

Restaurant

Handwritten menu ready for the website

Before

about 1 h

After

about 2 min

Problem

Every menu change meant retyping all dishes and prices onto the website by hand.

Solution

A photo of the handwritten menu goes into the system, which reads the dishes and prices and lays them out as a formatted website menu. The restaurant sees a preview before publishing.

Service business

Month-end documents for the accountant

Before

4-5 h

After

about 45 min

Problem

Sorting and describing documents before handing them to the accountant took half a working day.

Solution

The system reads the documents, extracts key data (counterparty, amounts, dates) and prepares a tidy summary. Unclear items go to manual review.

Times are based on our clients' own estimates.

FAQ

Frequently asked questions

If your question is not here, ask it during the consultation

Will AI replace my employees?

That is not the goal. The agent takes over repetitive tasks, and people handle exceptions and customer relationships.

Is my data safe?

Before we start, we agree what data the model processes and where. We work under data processing agreements and GDPR rules. We cover the details in the consultation.

How long does an implementation take?

A pilot of one process usually takes a few weeks, depending on integrations and data availability.

Do I need technical staff on my side?

No. We handle the whole thing. We need a description of the process and access to the relevant systems.

What if the agent makes a mistake?

We design implementations so mistakes get caught: human approval at critical steps, logs and monitoring of answer quality.

How is this different from regular n8n or Zapier automation?

Classic automation runs fixed rules. An AI step lets the workflow handle unstructured text such as emails, documents and customer questions.

Start with one process

Tell us about the task that takes your team the most time. We will tell you honestly whether AI makes sense there.

info@pixflare.pl