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AI SPANISH QA SPRINT

Validate your AI in Spanish before your users do.

Expert review of AI-generated Spanish/LatAm outputs to identify critical quality issues, measure performance and improve readiness for real-world use.

TIMELINE
10 business days
SCOPE
150–300 outputs
USE CASE
1 per sprint
VARIANT
1 target Spanish
01 / SPRINT
VALIDATION — MEASURABLE
THE PROBLEM

Your AI speaks Spanish. Nobody can tell you if it's good enough to ship.

LLMs are variable. Spot checks aren't evaluation. Most teams have copilots, chatbots, tutors or automated content workflows producing Spanish outputs — without a reliable way to know if they're accurate, natural, consistent, or deployable.

Ideal for AI surfaces already in production or pilot.

Any product that generates Spanish for real users and needs a structured quality baseline.

AI copilots
In-product assistants generating Spanish responses at scale.
Chatbots
Customer-facing conversational agents across web, mobile, WhatsApp.
Support agents
Automated tier-1 support, ticket triage, deflection copy.
Tutors
EdTech learning agents, feedback engines, adaptive instruction.
Knowledge assistants
RAG-powered Q&A over internal or customer documentation.
Automated content
Marketing workflows, product descriptions, email generation.

What we assess.

Eight criteria, scored against a defined rubric and severity scale — the same framework every deliverable is built on.

01
Accuracy
Faithful meaning. Factual correctness against source intent.
02
Clarity
Plain, unambiguous Spanish. No syntactic fog, no double meaning.
03
Naturalness
Native rhythm and fluency. Not a translation smell.
04
Tone & register
Aligned with your brand voice and the audience's expectations.
05
Terminology
Consistent product and domain terms. No drift across outputs.
06
Regional fit
Correct variant — es-MX, es-AR, es-419, es-ES — no accidental mix.
07
Instruction-following
Did the model actually do what it was asked to do, in Spanish?
08
Risk & severity
Classified by impact: cosmetic, functional, critical, unsafe.

What you get.

Every Sprint produces these deliverables. They land in one shared folder, documented and presentable to your leadership.

  1. Scope brief

    One document capturing use case, audience, target variant, rubric, sample definition and success criteria — signed off before any review begins.
  2. Evaluation rubric

    Custom rubric mapped to your product. Scoring scale per criterion, severity definitions, and examples of each level.
  3. Reviewed output master

    The full sample of 150–300 outputs, reviewed line-by-line. Every row annotated with scores, issue tags, severity and reviewer notes.
  4. Quality scorecard

    One-page summary per criterion: pass rate, accuracy, clarity, naturalness, terminology, regional fit, critical error rate.
  5. Issue taxonomy

    Categorized and counted issues across the sample — what breaks, how often, and where it clusters.
  6. Executive readout

    A 5–10 page summary and a 45-minute presentation to your Product, CX, or AI leadership. Findings, recommendations, priorities.
  7. Remediation checklist

    A prioritized action list your team can execute: prompt fixes, RAG content cleanup, terminology updates, guardrails to add.
BEST FOR TEAMS THAT
  • Already have AI in production or pilot
  • Need a clear quality baseline before scaling
  • Want expert input before expanding markets or increasing volume
  • Need evidence, not guesswork, for leadership
NOT THE RIGHT FIT IF
  • Your AI product is still pre-prototype
  • You only want prompts translated
  • You can't provide access to output samples
  • You don't have a defined use case
REQUEST THIS SPRINT

Your AI speaks Spanish.
Let's find out how well.

Start with a 30-minute diagnostic call. If a Sprint is the right fit, we scope it on the call. If it isn't, we say so.

Book a diagnostic call