Where we stand. OptimizIA.xyz is a hybrid implementer, the third profile below, so read this guide with that in mind. The criteria apply to us as much as to anyone you compare us with, and our case studies are there for you to check them.
Verdict: hire the profile that delivers a working workflow
If you are evaluating an AI automation consultant for the first time, choose the profile that can deliver a working workflow, not just a recommendation. Three profiles dominate the market.
- The tool specialist. This consultant knows one platform deeply, often n8n or Make, and builds automations quickly. The risk is tunnel vision: every problem looks like a workflow for their preferred tool, even when a simpler change to your process would do.
- The strategy generalist. This profile produces maturity assessments, opportunity maps, and roadmaps. Useful for large organisations, but an SME often pays for analysis it cannot execute.
- The hybrid implementer. This consultant combines process analysis, AI capability, and hands-on build. They diagnose, build a proof of concept, document it, and hand it over. For an SME up to 250 employees, this profile usually delivers the best ratio of cost to working output.
OptimizIA.xyz positions itself in this third category, with a fixed-price diagnostic, PoC and MVP builds, and monthly copiloting.
Selection criteria
You cannot compare AI automation consultants on price alone. A low day rate with no documentation creates a dependency you will pay for later. A high day rate with no working prototype is worse. Use these criteria.
Working deliverable
Ask what you receive at the end. A report is not enough. You want a workflow you can trigger, inspect, and modify. If the consultant cannot show you a live example during the sales conversation, walk away.
Handover and documentation
The consultant should commit to leaving behind the workflow configuration, the connection details, and a short runbook. Without this, you own a black box. OptimizIA.xyz hands over workflows, configuration and documentation as part of its service.
Hosting control
Your data should stay on your infrastructure or, if you operate in Europe, on servers in the EU. If the consultant insists on hosting everything on their own accounts, you lose control the day the contract ends. Our workflows run on your existing infrastructure, or on our servers located in France if you would rather we host them.
Tool neutrality
A good consultant recommends the simplest tool for the job. If every answer is the same platform, you are talking to a reseller, not an advisor. OptimizIA.xyz builds most often on self-hosted n8n, on Make when it fits better, and adds AI assistants on your own documents (RAG) where retrieval matters. When Microsoft 365 is enough, we say so.
Measurement
The consultant should define what success looks like before building: time saved, volume processed, error rate. You measure these on your own workflows, not on industry benchmarks.
Pricing model
Fixed price beats open-ended day rates for a first engagement. You know what the diagnostic costs, what the PoC costs, and what monthly copiloting costs. OptimizIA.xyz bills every format as a fixed fee written into the proposal, from published starting prices.
Comparison table
| Option | Best for | Deliverable | Handover | Typical risk |
|---|---|---|---|---|
| Tool specialist (n8n or Make) | One well-defined workflow | Working automation | Often minimal | Tool lock-in, narrow view |
| Strategy generalist | Large firms, pre-budget planning | Report, roadmap | Not applicable | Analysis without execution |
| Hybrid implementer (e.g. OptimizIA.xyz) | SMEs wanting working output | Diagnostic, PoC, documented workflow | Included | Requires internal process owner |
| In-house builder | Teams with existing technical staff | Internal workflow | Full control | Slow, competing priorities |
| Freelance developer | Custom code, complex integrations | Custom application | Varies widely | Dependency on one person |
The table shows why the hybrid implementer wins for most SMEs. You get a working deliverable and a handover, without the overhead of hiring internally or the narrowness of a single-tool specialist. If you would rather compare agencies by name than by profile, our shortlist of business process automation companies does that for SMEs.
What an intelligent automation consultant adds
An intelligent automation consultant differs from a classic workflow automation consultant in one way: they decide where AI belongs and where it does not. Most SME processes do not need AI. They need a deterministic workflow with clear triggers, conditions, and actions. Adding AI to a process that a simple filter can handle increases cost, latency, and failure modes.
The intelligent automation consultant earns their fee by spotting the few places where AI changes the economics. Typical examples:
- extracting structured data from unstructured emails,
- classifying incoming requests,
- drafting responses from your own knowledge base,
- retrieving answers from internal documents using RAG.
These are retrieval and classification tasks, not chatbot fantasies.
Rémy Ginoux, co-founder of OptimizIA.xyz, brings 25 years of field experience in industrial and digital transformation, at Volvo Group, Airbus Atlantic and Solvay. That background matters. It means the recommendations come from watching processes fail in production, not from a tool vendor's demo. The consultant should ask what happens when the AI is wrong, who catches the error, and how you roll back. If those questions make them uncomfortable, the engagement will not survive contact with your real operations.
When AI is the wrong answer
A consultant who refuses an AI project is more valuable than one who accepts everything. If your data is messy, your process changes weekly, or your team cannot define what a correct answer looks like, start with a deterministic workflow. You can add AI later, once the process is stable and the data is clean. Our diagnostic ends with a prioritised roadmap that separates immediate quick wins from long-haul work, such as getting the data clean first. When AI does earn a step, our guide to intelligent process automation shows how to keep it narrow, with a fallback to a person.
What a workflow automation consultant delivers
A workflow automation consultant focuses on the plumbing: triggers, conditions, actions, error handling, and logging. The deliverable is a workflow that runs on n8n or Make, hosted where you choose, and documented well enough that another person can maintain it.
The engagement usually follows three phases:
- Diagnostic. It maps your current processes and identifies the highest-value automation candidates.
- PoC or MVP. It builds one workflow end to end, proving the approach on a real process.
- Copiloting. It runs alongside your team, fixing edge cases, measuring results, and transferring skills.
This phased model protects you from the two classic failures. The first failure is building too much before proving value. The second is building something nobody can maintain after the consultant leaves. The PoC solves the first. The handover and copiloting solve the second.
What a realistic PoC looks like
A PoC is not a demo with fake data. It is a working workflow on one real process, with your real tools, your real data, and a defined success measure. For an SME, that might be an invoice intake workflow that reads PDF attachments, extracts key fields, checks them against your accounting system, and routes exceptions to a human. The PoC proves the extraction works on your invoice formats, not on a vendor's sample set. With us, going from PoC to a working MVP takes 13 days on average.
What it looked like for one client
Our lead monitoring for Paul Bergé Lemonnier, an influence agent, is this model on a real process. An n8n workflow reads 25 industry feeds every morning, keeps what is actionable, ranks each signal in three tiers and logs one line per brand. It sends a report even on days with no signal, and a separate alert if a feed dies. In his words, published on our levers page, the system was set up "in just a few days" and "saves me over 2 hours a day".
Who should choose each option
- Choose a tool specialist if you already know the process, the tool, and the expected output. You need a builder, not an advisor. This works when your team has already done the analysis and just needs execution capacity.
- Choose a strategy generalist if you are a large organisation preparing a multi-year transformation budget. The report helps you align stakeholders. An SME rarely needs this level of abstraction.
- Choose a hybrid implementer if you are an SME founder or operations manager who wants a working result without hiring a full-time automation engineer. You get analysis, build, documentation, and handover in one engagement. This is the profile OptimizIA.xyz targets, with services sized for businesses up to 250 employees.
- Choose an in-house builder if you already employ someone with automation skills and you have enough pipeline to keep them busy. The cost is salary plus tooling, but you keep all knowledge inside. The downside is speed: internal projects compete with daily operations.
- Choose a freelance developer for custom code that goes beyond what n8n or Make can handle. You accept more dependency risk in exchange for deeper technical capability. Ask for documentation and a second developer who can review the code before you sign.
Price ranges
OptimizIA.xyz publishes its starting prices on its services page, which makes comparison easier:
- AI & Knowledge Diagnostic: from €1,000 excl. VAT.
- PoC and MVP: from €1,500 excl. VAT.
- Copiloting: from €100 excl. VAT per month.
These are starting points, not final quotes. The actual price depends on the number of workflows, the complexity of your data, the number of tools to connect, and whether you need RAG over internal documents. Software subscriptions and API usage come on top, paid directly to the providers: usually a few tens of euros per month for an SME workload. A consultant who quotes without seeing your process is guessing. A consultant who refuses to give any range before a discovery call is hiding something. Fixed starting prices solve both problems.
The diagnostic is the cheapest way to test a consultant before committing to a build. You pay a known amount, you receive a map of automation opportunities, and you can judge the quality of the thinking before authorising a PoC. If the diagnostic is vague, the build will be worse. It is not mandatory: if you already know which process to automate, you can go straight to a PoC.
Frequently asked questions
What does an AI automation consultant actually do?
An AI automation consultant maps repetitive SME processes, identifies where AI and workflow automation can remove manual work, builds a proof of concept on a real process, and hands over a documented workflow. The deliverable is working software, not a report.
How is an intelligent automation consultant different from a workflow automation consultant?
An intelligent automation consultant decides where AI adds value and where a deterministic workflow is enough. A workflow automation consultant focuses on triggers, conditions, and actions. The intelligent profile adds AI for extraction, classification, and retrieval tasks, but refuses AI when a simple rule works better.
What should an SME expect to pay for AI automation consulting?
OptimizIA.xyz publishes its starting prices: €1,000 excluding VAT for a diagnostic, €1,500 excluding VAT for a PoC or MVP, and €100 excluding VAT per month for copiloting. Final pricing depends on workflow count, data complexity, and tool connections, and is fixed in writing before work starts.
What deliverables should I demand from an AI automation consultant?
Demand a working workflow on your own tools, documentation that lets another person maintain it, hosting on your infrastructure or on servers in the EU, and a defined success measure such as time saved or error rate. Refuse any engagement that ends with only a slide deck.