For a prototype — yes. For production — you need a system that integrates AI with your data (CRM, warehouse, price list). ChatGPT alone doesn't have access to your company data.

How much does AI implementation cost?

Simple module (e.g., auto-quoting from emails) — a few thousand euros. Full AI system — tens of thousands. Key: start small and expand after confirming value.

Is AI safe for company data?

Yes, if implemented correctly. We use APIs with data processing agreements (DPA). Data is not used for model training. We can also host models on-premise.

Where should I start?

With a Discover Session. We'll map processes and show where AI will give the biggest return in your specific company.

Softwise Group — Digital Transformation | Ecosystems, AI, Automation

AI hype vs. AI in practice

Everyone talks about AI. ChatGPT, Copilot, automation, revolution. But when you ask "what specifically can AI do for my company?" — answers are vague.

The truth is: AI isn't magic. It's a tool. Like any tool — it's great for certain things and useless for others. The key question isn't "should we implement AI" but "WHERE should we implement AI for real savings".

Where AI delivers real value in B2B

Based on our implementations — four areas where AI truly makes a difference:

Reading and classifying emails

AI reads incoming emails, recognizes if it's a quote request, complaint, or status inquiry. Extracts data (products, quantities, parameters) and routes to the right process. Savings: 2-4h daily per company.

Generating quotes and documents

Based on data from email/form, AI generates a quote, proposal or contract. Salesperson reviews and approves instead of writing from scratch. Savings: 70-90% time per document.

Lead scoring and prioritization

AI analyzes lead behavior (opened emails, visited pages, company size) and scores the likelihood of closing. Salesperson knows who to call first.

Data analysis and reports

Instead of manually collecting data — AI generates reports from multiple sources. "Show me top 10 clients by margin from last quarter" — answer in seconds.

Where AI is still hype

Let's be honest — AI isn't suited for everything:

→Negotiations and client relationships — AI won't replace a good salesperson
→Strategic decisions — AI processes data, but you create the strategy
→Processes requiring empathy — handling complaints in "difficult" cases
→Creative work — product design, branding

Automate rules. Put people where they create value.

How to implement AI affordably

You don't need to build your own AI model. You don't need to spend hundreds of thousands. Here's a practical path:

1. Identify 1 process with high volume of repetitive tasks 2. Check if it can be described with rules (if X then Y) 3. Build a proof-of-concept using ready APIs (OpenAI, Anthropic) 4. Measure results — how much time/money do you save 5. If it works — expand. If not — change the process, not the technology.

PoC cost: a few thousand euros. Time: 2-4 weeks.

Start with the process that's boring, repetitive and expensive. Not the one that sounds coolest.

Frequently asked questions

Ready for transformation?

Book a Discover Session — we'll diagnose what to automate in your company.

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AI in B2B — where to start without burning your budget