AI AUTOMATION

AI automation that removes the busywork, not just promises to.

We build chatbots, document processing flows and classification automations that take repetitive work off your team's plate, integrated directly into the systems you already use.

From a customer support chatbot to automatic invoice processing or ticket routing, we start from a real process in your company, not a generic demo.

Where you start What's included How it works

Discuss your processDiscuss your process↗ See what we automate

WHERE YOU START

Pick the process eating up the most of your time.

From customer support to invoices and internal reports, here are the types of AI automation we build most often. Each one starts from a real process inside your company, not a generic demo.

Customer support chatbot

Answers frequently asked questions automatically on your website or WhatsApp, and hands off to a teammate whenever the question goes beyond what it can solve.

Automatic invoice and document processing

We extract data from invoices and scanned documents and feed it automatically into your ERP or accounting software, without manual field-by-field copying.

Email and ticket classification and routing

The AI reads the content, identifies intent and urgency, then sends the message straight to the right department, with no manual triage.

Automatic product description generation

For large catalogs, the AI generates consistent descriptions starting from technical specs, and a person reviews them before publishing.

AI integration into an existing ERP or CRM

AI agents that fill in fields, summarize interactions or flag anomalies directly inside the system your team already uses.

Automatic call and conversation summaries

Transcription and summarization of support calls or conversations, saved automatically into your CRM, no more manual notes after every call.

AI agents for internal tasks

We automate recurring reports, KPI monitoring and automatic alerts whenever an important threshold gets crossed.

Data extraction from unstructured documents

Contracts, handwritten orders or photographed receipts get turned into structured data, ready to feed into your systems.

Moderation and triage of user-generated content

Automatic review of reviews, comments or images uploaded by customers, with clear flagging of what needs human attention.

Automatic replies for repetitive requests

Standard quotes, order status or delivery questions, with a reply generated automatically based on the context of the incoming message.

Data sync and cleanup between systems

The AI spots duplicates, fixes broken formats and fills in missing fields whenever you migrate or sync data between systems.

Internal documentation search assistants

Instant answers for your team, based on internal documentation (procedures, policies, code), instead of digging through dozens of files.

HOW WE BUILD

What's included in an automation we build.

We don't ship an AI experiment. Every automation starts from a real process, with a clear human checkpoint wherever the decision actually matters.

ANALYSIS & PROCESS DEFINITION

We start from a real process, not a demo.

We analyze your team's current workflow and pinpoint the repetitive steps, the data involved, and exactly where the decision needs to stay human.

Step-by-step mapping of the existing process

Clear identification of the input and output data required

A defined human confirmation point wherever the decision matters

INTEGRATION WITH EXISTING SYSTEMS

The automation talks to your systems, not around them.

We connect the automation to your ERP, CRM, email or online store through APIs, so data lives in one place instead of being duplicated across two systems.

API connections to the systems your team already uses

No data duplication between separate systems

Logs for every automated action, easy to audit later

AI MODEL & DECISION RULES

We pick the right model, not just the most popular one.

Depending on the case, we use a general-purpose AI model, a model tuned on your data, or plain rule-based logic, wherever simple rules do the job better than AI.

Model choice matched to the task, not defaulted to the most expensive one

Clear thresholds: when the AI decides alone, and when it asks for confirmation

Testing on real data from your company before launch

MONITORING & IMPROVEMENT

The automation gets tuned on real results.

After launch, we measure accuracy, identify where the AI gets it wrong, and fix the rules or the model itself, not just the individual case that came up.

Periodic report on accuracy and volume of processed cases

Fixing recurring errors at the source, not one-off patching

Gradual expansion to other processes, based on real results

WHAT AN AUTOMATION LOOKS LIKE

From an email that comes in, to a reply ready to send.

A concrete example of a flow that applies to any classification and rules-based process: the task arrives, the AI interprets and routes it, and a human confirms wherever the decision matters.

How an email support automation flows

From the message received to the reply sent, every step stays visible and auditable, not a black box.

Email receivedThe message lands in your inbox or support system

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Classified automatically by AIIntent and urgency get identified automatically

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Routed to the right teamReaches the responsible team directly, no manual triage

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Reply suggestedThe AI drafts a reply based on past history

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Human confirmationA teammate reviews and sends, or steps in if needed

FREQUENTLY ASKED QUESTIONS

Questions we get asked often.

We most often automate repetitive, rule-based processes: answering frequently asked questions, processing invoices and documents, classifying and routing emails or support tickets, generating product descriptions for large catalogs. If a process can be described step by step, it can usually be automated, at least in part.

It depends on the risk. For low-impact tasks, such as routing or suggesting a reply, the AI can act on its own. For decisions with financial impact or a direct effect on the customer relationship, we keep a human confirmation step, agreed with you before launch.

It varies by process type and by the quality of the input data. We do not promise 100% accuracy: we measure results after launch and adjust the automation wherever repeated errors appear.

We use AI models through secure APIs, without training public models on your data. We discuss exactly what data moves and where before implementation starts.

A simple automation, such as email classification, can be ready in 2 to 3 weeks. A more complex flow, with ERP or CRM integration, usually takes 4 to 8 weeks.

Every automation has a human review point for important cases, plus logs for every automated action. When we spot a recurring error, we fix the rules or the model, not just the individual case.

Yes. We connect the automation through APIs to the systems you already use: ERP, CRM, your online store, email. You don't need to replace existing systems to start using the automation.