ENGINEERING EFFICIENCY

Your business on
Autopilot.

Q: Do you use your own model or an external API (OpenAI, Anthropic)?

Typically an external API (Claude, GPT-4, Gemini) for maximum quality at a predictable cost. For strictly confidential data, we recommend self-hosted models (Llama 3.1, Mistral) on AWS/Hetzner. We discuss cost, quality and privacy trade-offs during discovery.

Q: What is the difference between AI automation and traditional Zapier automation?

Zapier moves data between applications based on fixed rules ('if X, then Y'). AI reasons in context ('read the email, understand the intent, generate a suitable response'). We typically combine them: Zapier for triggers + AI for reasoning + Zapier for actions. For AI agents that hold conversations and make decisions (chatbots, a voice agent, lead qualification), see the dedicated AI Agency page.

We automate repetitive processes with n8n, Make, Zapier and RPA workflows. We connect systems and reduce manual work where the rules, data and checks are clear enough.

Looking for an AI agent that reasons (a chatbot, voice agent or lead qualification)? Find that under AI Agency →

Free Audit → See the Technology ↓

Why are you losing money right now?

If your team repeats the same steps between systems, it is worth measuring what can be safely automated.

📉

Human Error

Manual steps can introduce errors. Automation reduces variation, while validation and alerts remain essential.

🐌

Response Speed

A well-designed workflow can quickly pick up a request, collect the necessary data and route the case to the right person.

🤯

Burnout

Talented people leave if you give them robotic work. Give them creative work and let scripts handle the rest.

Our Technical Toolkit.

We choose the right technology for each process.

⚡

Low-Code & API

n8nZapierMake

Maximum speed. We connect CRMs, email and Slack. Ideal for marketing automation.

🤖

Enterprise RPA

UiPathAutomation Anywhere

Software robots that "see" the screen. For legacy systems, banks or older ERPs.

💻

Custom Code

PythonNode.jsAI Agents

Heavy lifting. Custom scripts for large-scale data processing and industrial integrations.

Human vs. Robot.

The calculation is simple.

Parameter

Human Employee

ALLSoft Agency Bot 🤖

Schedule

8 hours (Monday–Friday)

24/7/365

Speed

Depends on the process

Measured in testing

Errors

Risk of variation

Validation + alerts

Scaling Cost

Recruitment + Salaries

Click & Upgrade

Turn your team's time into value.

Your competitors are probably already automating. Are you still copying and pasting?

Start Automating →

AI automation for real businesses

AI applied to repetitive processes, with rules and human oversight

We build AI automation with Claude (Anthropic), GPT-4 (OpenAI), Gemini (Google) and self-hosted open-source models (Llama 3.1, Mistral). Integrated with your tools: Zapier, n8n, Make, or directly via API into your existing CRM/ERP.

Customer support chatbots

AI assistants on your website and suitable channels, with answers limited to approved sources, escalation for complex cases and handoff to an operator.

AI lead qualification

Automatically qualify leads using BANT (Budget, Authority, Need, Timeline), score each prospect, prioritize sales team follow-up and integrate directly with your CRM (HubSpot, Pipedrive).

Content generation at scale

Product descriptions, social variations, emails and article drafts generated at scale, with sources and human review before publication.

AI creative for ads

Ad image generation (image generation APIs selected for each project), automatically A/B-tested copy variations and direct integration with Meta Ads and Google Ads via Marketing API.

Personalized AI email

Emails and segments built from permitted data and available history, with controlled testing before expansion.

Internal automation

Invoice processing (OCR + accounting categorization), contracts (clause extraction), lead routing, meeting summaries (Zoom/Meet), Zapier + n8n + custom AI orchestration.

Automation vs. AI Agent

Process automation vs. AI Agent: which do you need?

Automation executes defined rules at high volume. An AI agent uses context to propose or execute actions within configured boundaries. We choose the solution based on the process, complexity and level of control required.

	Process automation (here)	AI Agent (/ai-agency)
How it works	Fixed rules: "if X, then Y"	Understands context and makes decisions
Best at	Repetitive workflows, integrations, data sync	Conversations, qualification, cases with exceptions
Typical tool	n8n, Make, Zapier, RPA	Claude / GPT / Gemini + RAG + API
When to choose it	Predictable processes, high volume	Human interaction, decisions, language

We often combine them: automation fires the trigger, the AI agent reasons, automation executes.
For AI agents that hold conversations and make decisions, see AI Agency →

FAQ: frequently asked questions

Frequently asked questions about AI automation

What does 'AI automation' mean for a small business?

It means moving repetitive work (answering frequently asked questions, qualifying leads, sorting emails, generating product descriptions) from people to AI systems that operate 24/7. Your team focuses on what matters (complex sales, strategy), while AI handles the rest.

How do you choose the first automation worth building?

We choose a repetitive process with available data, controllable risk and a measurable outcome. We define what the system can do, what requires human approval and how we assess quality before expanding it.

How long does implementation take?

Timing depends on data, integrations, access rights, security requirements and edge cases. We start with a narrow workflow and acceptance criteria, then expand only after validation.

Do you use your own model or an external API (OpenAI, Anthropic)?

Typically an external API (Claude, GPT-4, Gemini) for maximum quality at a predictable cost. For strictly confidential data, we recommend self-hosted models (Llama 3.1, Mistral) on AWS/Hetzner. We discuss cost, quality and privacy trade-offs during discovery.

Is customer data safe?

We choose API services or separate hosting according to data sensitivity and project requirements. We document providers, access, retention and logging. Terms governing data use and GDPR requirements are validated before launch with the client's legal lead or DPO.

Can we start with a small pilot project?

Yes, we recommend it. We start with a specific use case, define the outcome and required data, then measure the impact before extending automation to other processes.

What is the difference between AI automation and traditional Zapier automation?

Zapier moves data between applications based on fixed rules ('if X, then Y'). AI reasons in context ('read the email, understand the intent, generate a suitable response'). We typically combine them: Zapier for triggers + AI for reasoning + Zapier for actions. For AI agents that hold conversations and make decisions (chatbots, a voice agent, lead qualification), see the dedicated AI Agency page.

Your business on Autopilot.