AI sales automation in the EU: choose a safe first workflow
How to pick a first AI workflow in sales or support in the EU: bounded scope, human handover, AI Act transparency and budget references
Choose an AI sales automation use case by identifying repetitive work, reliable information and a clear handover to people. A useful first scope explains the task, how answers are checked and how people learn they are talking to an AI system, which Article 50(1) of the EU AI Act requires providers to ensure unless it is obvious. The AKORDO catalogue lists an AI audit at $600-1,000 and an AI sales manager at $1,300-2,200 in USD. Use these references to agree the scope before committing to implementation.
Identify repetitive work and information sources
Start with the questions and actions your sales and support teams repeat every day: prices, availability, delivery terms, booking a call, chasing a lead that went quiet. For each one, note where the correct answer lives today, whether in a price list, a knowledge base, the CRM or someone’s memory.
The AI answers from these sources, so check that they are correct before launch. If the answer lives only in an experienced manager’s head, write it down first.
Choose a bounded first use case
The AKORDO catalogue ties each AI service to a specific problem, which helps to keep the first scope narrow:
| Problem | Catalogue service | Budget reference | Indicative timeline |
|---|---|---|---|
| You want AI but do not know where to start | AI audit and quick launch | $600-1,000 | 2-4 weeks |
| Leads wait for a reply or write outside working hours | AI sales manager 24/7 | $1,300-2,200 | 2-4 weeks |
| Leads get lost after the first contact | AI customer return system | $600-1,100 | 2-3 weeks |
| Support drowns in repetitive questions | AI customer support 24/7 | $1,100-2,000 | 2-5 weeks |
Pick one problem, one channel and one group of questions. A first workflow that answers repeat questions about prices and terms is easier to check than one that negotiates discounts.
Define handover and human review
The catalogue principle is that an AI manager does not replace the team: it removes repetitive questions and passes to a person what needs a live decision. Write that boundary down as rules: which topics always go to a person, how the conversation is handed over, and how quickly someone picks it up.
Plan a review step for the first weeks. A manager reads a sample of conversations, marks wrong or incomplete answers and updates the source the AI relies on.
Tell people they are talking to an AI system
Article 50(1) of the EU AI Act, Regulation (EU) 2024/1689, requires providers to ensure that AI systems intended to interact directly with people are designed so that those people are informed they are interacting with an AI system, unless that is obvious to a reasonably well-informed, observant and circumspect person, taking into account the circumstances and the context of use. According to Article 113, the Regulation applies from 2 August 2026, and Article 50 is not among the provisions with a different date.
For a sales chat or messenger assistant, make the disclosure part of the first message and the acceptance criteria. Which obligations fall on your company as provider or deployer is a question for your legal adviser.
Audit results and systems in production
The AI audit and roadmap for a fintech company produced a phased AI roadmap, priority automation scenarios and a strategy for AI Support Agents, which the case lists as a recommended direction from the audit.
The case on AI systems for operational automation in a fintech company describes four AI systems in production: operational routing, anomaly detection, automation of repetitive integration steps and documentation standardisation.
Compare audit and knowledge assistant scope
An audit decides where AI belongs. A knowledge assistant is a built system: in the AI assistant for corporate knowledge, an OpenAI-based assistant searches Confluence with RAG, answers in Slack, runs its processes through n8n and scores answers for continuous improvement. In the catalogue, an AI agent for corporate knowledge costs $1,600-3,300 with an indicative timeline of 3-6 weeks.
For a team that has not chosen a workflow yet, the audit comes first. To compare sales, support and knowledge as a first scenario, read the guide to choosing the first AI agent scenario.
Budget references and launch questions
The "AI sales and service managers" package starts from $1,700 and includes the AI audit and quick launch together with an AI sales manager 24/7. Prices are in USD, and AKORDO gives the exact amount after a free consultation. Licences, APIs, hosting and telephony are paid separately by the client, and catalogue timelines are indicative, not contractual.
What does an AI audit end with?
In the published fintech case, a phased AI roadmap and priority automation scenarios.
What is the AI audit budget reference?
$600-1,000 in USD, with an indicative 2-4 week timeline in the catalogue.
Should AI replace the team?
No. The catalogue describes AI removing repetitive questions and passing decisions that need human judgement to people.
Discuss a first workflow through AI solutions or a free AKORDO consultation.