Opportunity assessment
We review your processes and your information, and return what is worth doing with AI, what is not, in what order and with what estimated return.
2 weeks
AI consulting
Before building, decide well what to build
Most money lost on AI is not lost building badly: it is lost building what should not have been built. This is the part that prevents that.
Technical capabilities
DiagnosticArchitectureEvaluationRoadmapCost estimationModel selection
73%of AI projects never reach production
1–3weeks to reach a decision backed by data
100%of the diagnostic is credited if we proceed to the project
Key takeaways
- Most money lost on AI is not lost building badly, but building what should not have been built.
- Before any code, Quarl answers whether the problem needs AI at all, which architecture applies, whether the data is ready, what it will cost to run, and how success will be measured.
- The deliverable is a document of decisions — use cases ranked by return, justified architecture, development and operating cost, metrics and risks — not a slide deck about trends.
- When the honest conclusion is that AI is not needed, that is the conclusion: many problems are better solved with a query, an integration or a redesigned form.
Operating track record
FEMSA loyalty platform
Three years operating the system in production — not one delivery and an exit.
Cross-entity contamination
The most frequent failure in RAG architectures, solved with structured metadata at ingestion.
Fixed scope and date
The proposal arrives within 48 hours with fixed scope, price and date. If scope changes, it is quoted separately and approved first.
Formats
How we come in
Architecture review
You have a design or an implementation and want a second opinion before committing quarters of work.
3–5 days
Diagnostic of an existing system
Reference set, quality measurement and failures ranked by impact with their fix.
1 week
Ongoing advisory
Your team builds and we review: architecture, evaluation, cost and technical decisions, on a fixed cadence.
Fixed cadence
What we answer
The questions to settle before writing code
- Does this problem need AI? Often a SQL query, a business rule or a better-designed form solves 90% at a fraction of the cost.
- RAG, fine-tuning, prompting or an agent? The answer moves the budget by an order of magnitude, and getting it wrong is the most expensive error in the project.
- Is our information ready? Around 60% of companies have undocumented processes and scattered data. AI does not organize chaos: it automates it faster.
- What will it cost to run? Not development: the monthly bill at real volume. It is the number that surprises most and gets calculated least.
- How will we know it works? If there is no way to measure it, there is no way to improve it — or to detect when it degrades.
- What happens when it fails? What the user sees, who finds out, how it recovers.
How we work
Engineers’ consulting, not slide decks
We do not deliver a presentation about industry trends. We deliver a document with decisions: what to build, with which technology, in what order, what it costs to develop, what it costs to run and how it will be measured.
When the honest conclusion is that you do not need AI, that is the conclusion. We would rather lose the big project than build something you will regret maintaining for five years.
The diagnostic is credited
If we move forward with implementation after the diagnostic, its cost is credited against the project. The point is not to sell you a report: it is that the decision gets made with data.
Related services
AI agents
LangGraph orchestration, durable state and human approval on steps with consequences.
View serviceRAG systems
Chunking, reranking and hybrid search, evaluated with recall@k and NDCG.
View serviceProject rescue
The system is already in production and answers badly. We measure it and determine what to fix.
View serviceLanguage models
LLM applications with structured output and tool calling.
View serviceFrequently asked questions
What exactly do you deliver?
A document with decisions, not trends: use cases prioritized by return and effort, the recommended architecture with its justification, development and monthly operating cost estimates, the metrics that will define success, and the risks with their mitigation. Plus a working session to discuss it with your team.
Is this useful if we do not yet know what we want to do with AI?
That is exactly what it is for. The opportunity assessment starts from your processes and your information, not from a catalog of technologies. It produces three or four concrete candidates, ranked by estimated return and effort, with a recommendation on where to start.
What if the conclusion is that we do not need AI?
We tell you, and it happens more often than you would expect. Many problems framed as "we need AI" are better solved with a well-built query, an integration or a redesigned form. We would rather lose a large project than build something you will not use.
Do you need access to our systems?
For the opportunity assessment, no: interviews with the people who run the processes and a sample of the information are enough. For the diagnostic of an existing system we do need to see the data it was fed and a sample of real conversations or runs. An NDA is signed first, and we work on anonymized samples when personal data is involved.
How long does it take?
The architecture review, three to five days. The diagnostic of an existing system, one week. The opportunity assessment, two weeks. None of the three is a long process: the goal is for you to decide quickly, not to accumulate documentation.
Can you work alongside our current vendor?
Yes. In many cases the role is to review and validate what another team is building, with concrete technical criteria rather than opinions. We deliver findings ranked by impact so you can hold them accountable, and we can verify afterwards that they were implemented.
Do you work with internal teams?
Yes, through the ongoing advisory format: your team builds and we review architecture, evaluation, cost and technical decisions on a fixed cadence. It is the format that leaves the most capability behind, and the one we recommend when you already have technical people.
Book 15 minutes
Tell us what you are building, or what stopped working. You leave the call with a concrete answer: it can be fixed, it can be built, or it isn't worth it.