Skip to content
Lucas BarriosApplied AI & Operational Transformation

Selected work

Selected work across AI readiness, workflow design, governance, and impact measurement.

Structured case studies demonstrating problem framing, workflow analysis, governance design, and measurable implementation thinking.

Independent research2026Research & benchmark

AI Reinvention Benchmark: European Industrial Machinery

An AI-maturity benchmark of eight European machinery manufacturers, scored only on public disclosure against a rubric fixed before assessment. The finding: across all eight, not one publishes a quantified result from its own AI use.

Companies benchmarked
8
Weighted dimensions
6
Publish a quantified internal-AI outcome
0
Self-directed build2026Full-Stack Platform Build

AI Readiness & Diagnostic Platform

A full-stack diagnostic platform that scores an 11-question intake across six weighted dimensions using Claude Sonnet, holds every result for human consultant approval before delivery, and offers an optional Stripe-paid deliverable kit.

Diagnostic questions
11
Scored dimensions
6
Kairos Consulting — market analysis2026Business Analysis Dashboard

AI Adoption Opportunity Dashboard

An interactive business-case dashboard built on public datasets answering where AI adoption investment should go: TAM/SAM/SOM sizing, PESTLE, Porter's Five Forces, ten use cases scored across five dimensions, and a sequenced implementation plan.

Use cases evaluated
10
Scoring dimensions
5
Kairos Consulting · reference implementation2026Governance Evaluation Harness

AI Content Studio

A governed, multi-tenant content pipeline for regulated industries, and the reproducible evaluation harness that measures whether the governance holds. Brand-safe guardrails and RAG grounding, scored by three layers: deterministic checks, a context-aware LLM judge on a stronger model than the generator, and an independent ragas cross-check.

True violation rate
0.00
Adversarial traps refused
8 / 8
Groundedness
0.95 / 0.78
Golden test cases
32
Independent engineering build2026Self-directed build

Multimodal Product Listing Generator

A vision-model pipeline that turns a product photo and a catalogue row into a validated listing — and, more to the point, the engineering around the model that decides whether the response is allowed to be stored at all. Strict schema validation, deterministic quality scoring in Python, selective retries, defensive parsing and claim candidates for human review.

Tests passing
514
Core-package coverage
98.26%
Deterministic evaluation
3 / 3
Live model quality
Not measured

Documentation

Selected engagement briefs and supporting project documentation are available upon request at the appropriate stage of a process.

Next step

Review the supporting profile.

CV access and LinkedIn provide the career background. Case studies demonstrate structured AI thinking and operating approach.