We audit your processes and tell you what to optimize with AI.
We diagnose what AI can actually optimize in your business, prioritize by impact, and hand you a roadmap with governance and KPIs — without selling you a product upfront.
✓ Free diagnosis✓ No product attached✓ Actionable roadmap
What does an AI adoption consultant do?
Diagnoses which of a company's processes AI can realistically optimize, prioritizes use cases by impact and feasibility, and designs the governance, KPIs and roadmap to execute it. Cronuts.digital does this without tying the recommendation to selling a specific AI product.
Companies that already trust Cronuts
Where should you start with AI in your company?
73% of corporate AI projects fail before reaching production — almost never because of the technology, almost always because nobody ran the diagnosis before buying a tool or signing a "transformation" contract. Starting with the product (an agent, a chatbot, an AI-powered CRM) without knowing which real process you're optimizing is the most expensive way to end up with a pilot nobody uses.
At Cronuts.digital we start with the diagnosis: we identify where AI can optimize processes, improve decisions or enable new capabilities, turn it into a prioritized roadmap with governance and KPIs, and only afterward — if needed — recommend a specific product or build one from scratch.
If this sounds like you, it's not your fault.
"Everyone talks about AI in leadership meetings, but nobody knows which specific process is actually worth automating."
That's why the diagnosis comes before the tool"We hired a consultancy that promised an 'AI transformation' and six months later nothing was in production."
73% of AI projects fail before production, almost always from lack of prior diagnosis"We don't know if we need an AI agent, a CRM, or just to get our existing processes in order."
The roadmap prioritizes by real impact and feasibility, not by what's trending"We have an innovation committee that produces slide decks, but no decisions or tracking KPIs."
We define decision gates and metrics from sprint one, not at the end of the projectSix areas of work, not a report nobody executes.
Every diagnosis turns into concrete artifacts: a roadmap, a prioritization matrix, a governance framework and a KPI dashboard.
AI diagnosis and roadmapping
We identify where AI can optimize processes, improve decision-making, or enable new capabilities.
- Mapping current processes and interviewing the affected teams
- Actionable roadmap with timelines and dependencies
- Explicit prioritization: what gets tackled first and why
Operating model and governance
Roles, cadences and decision criteria so AI doesn't depend on a single enthusiast.
- Clear roles: who decides, who executes, who audits
- Scaling "gates": what result moves a pilot to production
- Coordination between business, technology and operations
Prioritization and business cases
Prioritization models by impact, feasibility, risk and dependencies — not by hype.
- Prioritization matrix across the 4 variables
- Business case per initiative: investment, return, timeline
- Clear justification of what gets done first and why
KPIs and value measurement
Adoption, efficiency, quality and business-outcome metrics, not just whether "AI got used".
- Real adoption metrics (usage, not activation)
- Efficiency, quality and risk metrics
- Tracking cadence from the very first sprint
Stakeholder facilitation
Workshops that turn scattered input from business and technology into executable decisions.
- Structured sessions with business, technology and leadership
- Decision logs and a prioritized backlog
- Executable plan with assigned owners
Trend monitoring and responsible use
Sector developments translated into practical implications, not hype.
- Radar of trends relevant to your sector
- Security and compliance criteria (GDPR, AI Act) built in by design
- Responsible use as a requirement, not a legal appendix
From diagnosis to execution, in four phases.
Diagnosis
We audit processes, data, tech stack and team maturity to identify where AI creates real impact.
Roadmap and prioritization
We prioritize use cases by impact, feasibility and risk, with a business case and timeline per initiative.
Governance and KPIs
Roles, cadences, decision gates and adoption/value metrics, ready before executing anything.
Execution
With your team, with a packaged AI product, or with a custom build — the decision is already justified by the diagnosis.
Four honest ways to approach AI in your company.
Not all of them fit the same moment. That's why the diagnosis decides which one is yours, not whatever is trending.
| Approach | Best for | Typical cost | When it's NOT your option |
|---|---|---|---|
| AI adoption diagnosis (us) | Companies that don't know where to start or if they're ready for AI | Free initial diagnosis; fixed-price roadmap | If you already have clear use cases and just need to execute |
| Packaged AI agency | Companies that already know which AI product they need | Fixed price per product, 30-90 day delivery | If you still don't know which process to automate |
| Generic digital transformation consultancy | Broad organizational change, not just AI | Multi-month projects, high budget | If you want fast, measurable results on one concrete AI initiative |
| Hiring an in-house AI role | Large companies with enough volume to justify a dedicated team | Salary + 6-12 months of ramp-up | If you need results in weeks, not a year |
If the diagnosis points to a packaged product, we implement it through our AI product catalog; if the change is broader than AI, a full digital transformation consultancy may fit better.
We don't sell you an AI product on the first call. We tell you if you need one.
Most AI agencies (including ours, in its packaged catalog) start from a fixed-price product: an agent, a RAG system, a reporting tool. This consulting service is the layer before that — the diagnosis that decides whether you need that, something else, or simply need to organize processes before automating anything.
The same rigor we apply to marketing, applied to AI
Just as we don't recommend a paid media campaign without a prior diagnosis, we don't recommend an AI product without first understanding the process, the data and the team that will run it. The roadmap includes governance and KPIs from day one, not as an appendix.
- No catalog bias: the diagnosis can conclude you don't need any of our AI products.
- Governance from the start: roles and decision gates defined before executing anything.
- Business KPIs, not just usage: we measure adoption, efficiency and real outcomes.
- Ongoing monitoring: trends translated into practical, secure implications.
Before signing with an AI consultancy, check this.
Most AI projects don't fail because of the technology — they fail because nobody answered these questions before signing.
- Documented processIf you can't explain step by step what the process does today, AI will automate the chaos, not fix it.
- Structured data with enough volumeWithout a minimum of clean historical data, any model or agent starts at a disadvantage.
- Calculable ROI upfrontIf you can't estimate how much you'll save or generate, you won't know if the project worked.
- Who will operate the system afterwardA pilot only the consultancy understands doesn't survive the maintenance phase.
- Decision gates, not just enthusiasmDefine upfront what result justifies moving from pilot to production.
- Governance and compliance from the startData security, GDPR and responsible-use criteria, not a final patch.
- Real budget, not just the licenseIntegration, training and adoption cost more than the tool itself.
- Red flags in the providerIf the first meeting is all about "AI's transformative potential" with zero questions about your business, that's a signal.
Everything we've written on AI applied to business
If you want to go deeper before requesting the diagnosis, these are the blog articles that touch directly on this topic. Most are only published in Spanish so far.
AI Company: the unfiltered truth
Why 73% of AI projects fail before production, and 6 real cases with measured ROI.
Read →Internal case · ESMCP · Model Context Protocol for B2B companies
The 4 real AI-automation cases we use in our own operations, with hours saved measured monthly.
Read →Full guide · ESAI agents for companies: what they cost
What an AI agent is, what it costs to implement, and what ROI to expect in production.
Read →Full guide · ESWhat are AI agents?
How they work, how they differ from a chatbot, and what real use cases they solve for a company.
Read →Methodology · ESAI-First thinking
What it means to design processes AI-first, applied to a growth marketing team.
Read →Full guide · ESClaude for business: how it works
What Claude is, how B2B companies use it, and what sets it apart when applied to real processes.
Read →Full guide · ESAI-ready websites: how to build one
What a website needs to be readable and citable by conversational search engines like ChatGPT.
Read →Applications · ESArtificial intelligence in marketing
Real AI applications in digital marketing: what to automate first and what still needs human review.
Read →2026 comparison · ESAI search engines · 8 engines compared
ChatGPT, Perplexity, Gemini and the rest of conversational search engines, compared for GEO.
Read →What people ask before starting an AI diagnosis.
What exactly does an AI adoption consultant do?
Diagnoses and prioritizes where AI can optimize processes, designs the governance framework and decision gates, builds business cases and value KPIs, facilitates workshops between business and technology, and monitors sector trends under security and compliance criteria.
How is this different from buying an AI product directly?
An AI product (an agent, a RAG, a reporting system) assumes you already know what you need. This diagnosis is the step before that: it identifies whether you really need it, which one fits, and whether something more urgent needs fixing first.
Does the diagnosis cost anything?
No. The initial diagnosis is free. Only the detailed roadmap, and the implementation if you decide to run it with us, have a cost.
What if the diagnosis concludes we don't need AI yet?
We'll tell you anyway. Many companies need to organize processes or data first before AI adds anything — automating a chaotic process just makes it fail faster.
Who defines the KPIs and how is tracking done?
We define them together during the diagnosis — adoption, efficiency, quality and business outcome — and set a review cadence from the first sprint, not at project close.
What exactly is a "scaling gate"?
A decision criterion agreed in advance (for example, a minimum time saved or an adoption rate) that determines whether a pilot initiative moves to production or gets dropped.
Do you work with companies of any size?
The diagnosis works the same for SMBs and for companies with multiple departments, though the scope of governance changes with organizational complexity.
What about data security and compliance?
The governance framework includes security, GDPR and responsible-use criteria by design, not as a legal appendix at the end.
How do I get started?
With a free diagnosis of your current processes. We'll tell you what can be optimized with AI, at what priority, and what governance you need — with no commitment.
Not sure where to start with AI in your company?
Get a free diagnosis of your processes and we'll tell you what can be optimized with AI, at what priority and with what governance — without selling you a product upfront.
- Diagnosis of processes, data and team maturity
- Prioritized roadmap with business case and KPIs
- Governance framework ready before executing anything
We respond within 24 business hours