Bias starts in the prompt
What you ask AI shapes what it produces. A leading, vague or culturally biased prompt can generate outputs that look reliable but are not.
For SMEs using AI in France or with French-speaking clients, partners or data
Ethical AI consulting for SMEs
Spot AI bias, question outputs and build practical governance guardrails before AI shapes important decisions.
Prompt & Pulse helps teams use AI with clearer human judgement: better prompts, safer validation habits and simple rules adapted to real business uses.
At a glance
Prompt & Pulse supports SMEs that want to use AI with critical thinking.
I work on inputs and outputs: what you give AI and what it returns, because bias can appear at both levels.
Depending on the format, your teams can learn to identify algorithmic bias, recognise warning signs, define human validation reflexes and understand the key EU AI Act, CNIL and GDPR watch points relevant to AI uses in France.
Formats: half-day workshop, full-day workshop, prompt review, ethical AI diagnosis or tailored governance support.
What is ethical AI consulting for SMEs?
Ethical AI consulting for SMEs helps small and mid-sized organisations identify bias risks, question AI-generated outputs, define human validation rules and build practical governance guardrails for everyday AI use.
What does the support include?
Depending on the format, the support can include AI use mapping, prompt review, algorithmic bias awareness, output validation rules, an AI usage charter and EU AI Act, CNIL and GDPR watch points.
Why critical thinking is the real AI skill
Outputs are not checked automatically
Teams using AI every day do not always have the reflexes to spot an error, a hallucination or a representation bias in an AI result.
AI-influenced decisions still need human accountability
Recruitment, communications, analysis, writing: when AI influences a decision, responsibility remains human. Without a clear framework, that responsibility becomes blurry.
When to seek ethical AI support
You may need support if one of these situations feels familiar.
Your teams use AI, but without distance
The tools are there. The uses are there. But no one has asked yet: is what AI produces reliable, neutral and verifiable?
You have doubts about output quality
The results look good. But you do not know exactly why, or how to detect when that stops being true.
You want clear rules
Who uses AI for what? With which limits? How do you validate an AI output before using it? These questions deserve concrete answers.
You need to understand the regulatory landscape in France
The EU AI Act applies progressively. In France, CNIL guidance is especially relevant when AI systems involve personal data. Understanding the first watch points for your uses, without legal jargon, is where we start.
EU AI Act, CNIL and GDPR watch points in France: The EU AI Act applies progressively, with obligations depending on the type of AI system, the use case and your role in the AI value chain. In France, CNIL guidance is especially relevant where AI uses involve personal data and GDPR obligations. For international teams operating in France, these reference points may need to be considered together.
The consulting sessions explain practical watch points in plain language. They do not replace legal advice or formal compliance validation. If your situation requires a lawyer specialised in AI regulation or data protection, I can point you toward appropriate legal support in France.
Learn more: EU AI Act implementation timeline · CNIL recommendations on AI and GDPR
How the approach works
Workshop, ethical AI diagnosis, prompt review and tailored governance support are connected services. They are different entry points into the same practical approach, depending on where your organisation is today and what needs to be clarified first.
Not sure where to start?
The ethical AI diagnosis maps your current AI uses, identifies the main ethical risk areas and clarifies which component makes sense next.
Ready to train your teams?
The algorithmic bias workshop gives teams the language, reflexes and tools to identify bias in their AI uses. It can work as a standalone session or as one step within broader support.
Need to review prompt practices?
The responsible AI prompt audit helps flag ambiguity, bias risks, missing validation points and weak instructions in prompts used by HR, marketing, communications or operational teams.
Need lasting governance guardrails?
Tailored support builds the framework your organisation keeps: an AI usage charter, prompt validation rules, an evaluation protocol and regular check-ins.
The entry point depends on your context, not on a fixed programme. Some organisations start with a diagnosis, run a workshop, then build governance. Others start directly with tailored support.
Formats: workshop, prompt review or tailored support
Bias and practical AI reflexes
A first level of awareness and practical tools, directly applicable to your team's AI uses.
- Identify selection, representation, confirmation and automation bias.
- Recognise warning signs in a prompt, score or AI-enabled process.
- Ask the right questions before using an AI result.
- Put simple validation reflexes in place.
Bias, governance and action plan
A full day to analyse real AI uses and build a collective governance framework adapted to your business context.
- Spot bias risks in your team's AI uses.
- Distinguish bias, quality errors and hallucinations.
- Analyse an AI use case with a structured framework.
- Run a bias test on prompts and processes.
- Define guardrails adapted to the team.
- Build a collective continuous-improvement action plan.
Ethical framing and governance for AI uses
For organisations that want to go further: governance framework, AI usage charter and long-term follow-up.
- Mapping of existing AI uses and key watch points.
- AI usage charter adapted to your business context.
- Ethical evaluation framework for outputs.
- Role-specific prompt library reviewed to flag ambiguity, bias risks and validation points.
- Regular follow-up check-ins at your pace.
What you can leave with, depending on the format
An algorithmic bias analysis framework adapted to your uses.
Practical reflexes to detect warning signs in AI outputs.
An AI usage charter adapted to your organisation.
A role-specific prompt library reviewed to flag ambiguity, bias risks and validation points.
A collective continuous-improvement action plan.
Key EU AI Act, CNIL and GDPR watch points for your context of use in France.
What this support is not
Not AI tool selection, technical architecture, model development or software implementation.
Not legal validation, compliance certification or a formal legal audit. If your situation requires a lawyer specialised in AI regulation or data protection, I can point you toward appropriate legal support in France.
Not a promise that AI will be perfect after the workshop.
Not a theoretical talk disconnected from your real uses.
Who is this for?
SME leaders
Typical situation: you use AI, or your teams have started using it, without a shared framework.
You want to understand real risks and put rules in place that hold over time.
Operational teams
Typical situation: you use AI daily and want to know when to trust it and when not to.
You want concrete reflexes, not a lecture on ethics.
HR and recruitment teams
Typical situation: AI is involved in CV screening, job descriptions or candidate analysis.
You need to identify selection and representation bias before it influences decisions.
Marketing and communications teams
Typical situation: AI produces text, visuals or data analysis that you use without always checking.
You want to build a critical eye on what AI generates for your brand.
International teams working with French-speaking markets
Typical situation: your teams are anglophone but operate in France or with French-speaking clients, partners or data.
You need to understand how EU AI Act, CNIL and GDPR watch points may apply to your AI uses, depending on the use case and data involved.
What your teams can do afterwards
They can name what they see
Selection bias, representation bias, confirmation bias, automation bias: they have the language to identify what is happening in an AI result.
They ask better questions
Before using an AI output, they know what to check, what to question and when human validation is required.
They safeguard decisions
Guardrails are clearer. Roles are easier to understand. AI remains a tool they steer, not an authority they follow.
They know the useful regulatory watch points
EU AI Act, CNIL, GDPR and accountability for use: they understand the first questions to ask for their context, without legal jargon.
AI does not replace human judgement. It influences it — as long as we do not notice.
Who leads the sessions
Dieneba LESDEMA — Founder of Prompt & Pulse
Algorithmic bias and ethical AI specialist · Certified prompt engineer · Founder of Prompt & Pulse
I support organisations that want to use AI with critical thinking, not those looking for one more tool. My approach draws on 25 years of international corporate experience across France, Zimbabwe, South Africa and the UK.
I work at both levels: inputs and outputs. What we give AI shapes what it returns, and what it returns can influence our decisions. That international background also sharpens my eye for cultural blind spots in AI systems.
Frequently asked questions
What does ethical AI consulting for SMEs include?
It covers three connected areas: bias detection in prompts and outputs, team training to build critical thinking around AI, and governance framing. Depending on the format, this can include an AI usage charter, validation reflexes, prompt review and practical regulatory watch points.
How is this different from the algorithmic bias workshop?
The algorithmic bias workshop is one component of the broader approach. It focuses on awareness and practical reflexes. The full consulting offer can add diagnosis, prompt review, governance framing, an AI usage charter and longer-term support.
Do you work with teams based outside France?
Yes. Remote sessions are available. The approach is especially relevant for international or anglophone teams operating in France or working with French-speaking clients, partners or data, where EU AI Act, CNIL and GDPR watch points may be relevant depending on the use case.
Does the EU AI Act apply to SMEs operating in France?
It may apply depending on your AI uses and your role in the value chain. The EU AI Act applies progressively, and obligations vary according to the type of AI system and use case. In France, CNIL and GDPR questions are especially relevant where personal data is involved.
The sessions explain these watch points in plain language. They do not replace legal advice.
Do you provide legal advice or formal compliance audits?
No. The support covers ethical governance and practical regulatory awareness, not legal validation, compliance certification or a formal legal audit.
I am not a lawyer. My role is to help you clarify the operational and ethical questions before, or alongside, legal review.
What deliverables do we leave with?
Depending on the format, you may leave with an algorithmic bias analysis framework, output validation reflexes, an AI usage charter, a reviewed prompt library, a continuous-improvement action plan and key EU AI Act, CNIL and GDPR watch points for your context.
Can workshops be run remotely?
Yes. Workshops and support sessions can be run on-site or remotely. Remote formats are suitable for teams based in France and for international teams working with French-speaking markets.
Want your teams to use AI with critical thinking?
Let’s talk about your AI uses, the bias risks you want to prevent and the guardrails to put in place. The goal is not to use more AI. The goal is to use AI with more discernment.
Explore the full Prompt & Pulse approach
AI bias workshop for companies
Train your teams to spot algorithmic bias, test real use cases and set practical safeguards for HR, marketing, product and leadership.
See the AI bias workshop →Ethical Enterprise AI Diagnostic: Map and Secure Your Use Cases
Map your current AI tools, identify sensitive uses and clarify ethical, GDPR and AI governance watch points before scaling your practices.
Start with the AI diagnostic →Responsible AI prompt audit
Review your prompts to flag ambiguity, bias risks, weak instructions and missing validation points in everyday AI use.
Audit your AI prompts →