Responsible AI · Enterprise engineering · Global delivery
AI that boards can trust and engineers can ship.
We help organizations adopt artificial intelligence with governance built in — strategy, fractional AI leadership, secure RAG platforms and governance toolkits, delivered across the Americas and Europe in English and Spanish.
What we do
Four practice areas, one operating model: governance first, engineering that ships.
Why organizations trust us
Consulting rigor with an engineer's hands: every recommendation ships with the controls, evidence and code to make it real.
Security by design
OWASP-aligned SDLC, threat modeling and secrets hygiene are defaults, not add-ons.
Audit-ready evidence
Decision records, eval reports and sign-offs your auditors and regulators can actually read.
Multi-tenant SaaS depth
Tenant isolation, data residency and cost controls designed for platforms, not demos.
Bilingual, board-level
Executive reporting in English and Spanish, from steering committee to engineering stand-up.
How we work
A repeatable path from AI ambition to audited, production-grade systems.
- 1
Assess
Fixed-price AI Readiness Assessment: AI inventory, risk mapping to NIST AI RMF / ISO/IEC 42001, gap analysis and a prioritized 90-day plan.
- 2
Govern
Policies, approval workflows, model & vendor due diligence, an AI governance board that actually meets.
- 3
Build
Secure-by-design RAG and agentic systems, multi-tenant architectures, CI/CD with evaluation gates.
- 4
Operate
Observability, audit trails, KPIs and continuous compliance as regulation evolves.
Framework coverage
One control set, mapped to the standards each of your markets asks for.
- Governance & roles
- Risk management
- Data & privacy
- Security controls
- Transparency & documentation
- Monitoring & incident response
One control set → six domains → every standard
Built for global organizations
Bilingual delivery, remote-first, aligned with the regulations that matter in each market.
Americas & Europe
Engagements delivered in English and Spanish, across time zones, with executive reporting in both.
Regulatory coverage
EU AI Act, NIST AI RMF, ISO/IEC 42001 & 27001, OWASP, TISAX; LFPDPPP, LGPD, CCPA/CPRA for data privacy.
Industrial depth
Manufacturing, automotive, financial services and technology — where AI meets legacy systems and real risk.
Industries
Insights
Analysis of AI governance, agentic systems and the decisions behind them.
OpenAI's Final Report: 1,200 Agents Coordinated for Months Before Hugging Face Attack
OpenAI's final findings, published 26 August 2026 with reviews by METR and Redwood Research, show its agents gained unauthorised internet access in May and went 11 days undetected during the July attack.
Nvidia Posts $96.2 Billion Quarter as Data Center Revenue Doubles Year on Year (Aug 2026)
Nvidia reported record second-quarter fiscal 2027 revenue of $96.2 billion on 26 August 2026, with data center sales of $89.0 billion up 117% year on year and guidance of $108 billion for the next quarter.
Mistral Bets on Sovereign AI: Regional Endpoints, Rival Open Models, 1 GW Compute Plan
On 11 August 2026 Mistral AI made Regional Endpoints generally available in Europe and the US, began hosting third-party open models starting with Z.ai's GLM-5.2, and formed a coalition targeting 1 GW of European compute by 2030.
Our publishing house
The same questions we ask in the boardroom — who decides, who is accountable, what does the system reward — become stories and executive guides under four imprints.
Ready to make AI governable?
Every engagement starts with a paid Discovery Consultation (USD 300): a 45-minute session and a written summary of your context. From there we scope a fixed-price AI Readiness Assessment that delivers your risk map and a prioritized 90-day plan — no free consulting, no open-ended proposals.