If your AI initiatives feel stuck between promising pilots and real production — you're not alone.
Right now, teams are building agents on production data without clear guardrails. Legal and security teams are asking questions that weren't anticipated. Cloud costs continue to rise. And many transformation partners deliver another roadmap instead of working systems. We help organizations move from experiments to governed, production-ready systems — agents, data platforms, cloud foundations, and customer-facing experiences — with one senior team that stays accountable through delivery.
Sound familiar?
In 2026, most enterprises are not short on AI tools. They are short on clarity, trust, and a single team that owns the outcome from start to finish.
Why progress often stalls
Many vendors responded to AI demand with speed and volume. The result, in practice, has often been added complexity rather than clarity:
The recurring pattern is upfront enthusiasm followed by ongoing operational and compliance burden.
A more grounded starting point
We don't begin with a pitch. We start by understanding what's actually blocked — whether that's access controls, architecture decisions, risk management, or the gap between a working demo and a production system that compliance teams can support.
We then build the smallest meaningful step that demonstrates progress, with guardrails and documentation that security, legal, and engineering stakeholders can review.
Operational agents for outreach, triage, classification, and back-office processes — designed with human oversight, observability, and audit trails from the beginning.
Purpose-based access control, just-in-time permissions, agent discovery, and audit-ready evidence across Databricks, Snowflake, and multi-cloud environments.
Lakehouse governance, fine-grained access control, lineage, and retention policies — combined with landing zones, infrastructure-as-code, Kubernetes, and cost management across OCI, AWS, Azure, and GCP.
Trilingual websites, ecommerce platforms, and content systems designed with the same attention to governance, privacy, and integration with agent workflows.
Engineers who have previously delivered enterprise content platforms, agentic AI governance systems, large-scale data projects, and principal-level cloud architecture.
Six connected areas
Agent automation is often where friction first appears, but sustainable progress usually requires alignment across data, governance, cloud, and customer experience. We keep the work coordinated so you don't have to manage multiple vendors.
When this is difficult: Pilots stall because it's unclear what the agent is allowed to do or how its actions can be reviewed.
We design, build, and operate agents with discovery, guardrails, human-in-the-loop controls, and full observability — so production use doesn't require a leap of faith.
Describe your situationWhen this is difficult: Security or legal teams require demonstrable controls before approving broader use.
We implement purpose-based access, zero standing privileges, agent discovery, and audit evidence that supports EU AI Act and GDPR requirements in practice.
Describe your situationWhen this is difficult: Multiple teams use the same data platforms, but there is no shared agreement on what is permitted.
We establish lakehouse governance on Databricks and Snowflake — including catalog, lineage, fine-grained access control, entity resolution, and retention policies that hold up under review.
Describe your situationWhen this is difficult: Provisioning is slow and cloud costs are difficult to explain or control.
We design and implement landing zones, infrastructure-as-code, migrations, Kubernetes platforms, and FinOps practices across major cloud providers so infrastructure supports — rather than delays — AI initiatives.
Describe your situationWhen this is difficult: The public-facing systems look current, but the operations and data behind them are fragmented.
We build trilingual marketing sites, ecommerce platforms, and booking systems with SEO, accessibility, privacy, and agent integration built in from the start.
Describe your situationWhen this is difficult: Documents and content exist across systems, but finding, classifying, and routing them reliably is manual and inconsistent.
We design and implement content platforms with metadata, capture, AI-assisted classification, and governed workflows — building on established enterprise foundations.
Describe your situationWhat you get when the work stays in one set of hands
We focus on being the team that delivers working systems with the documentation and evidence required for ongoing operation and review.
| What organizations need | How we support it |
|---|---|
| Progress without creating new risks | Agents and automations built with access controls, observability, and audit trails from the start |
| Coherent delivery across regions | Work delivered in English, Spanish, and French, with practical understanding of both EU AI Act / GDPR and U.S. security and compliance expectations |
| Alignment between data and infrastructure | Governance and architecture decisions made together rather than handed off between teams |
| Experienced people throughout | Direct involvement from practitioners who have previously delivered and governed systems at enterprise scale |
Clear process. No surprises.
We document decisions, show working software early, and measure outcomes before scaling. You should never need a glossary to understand the status of your own project.
A written assessment of goals, data landscape, tools, risks, and regulatory context — plus a concrete plan
Designs reviewed with your security, data, and legal stakeholders before any production work begins
A working pilot on representative data, measured against defined criteria (Trustscore, performance, cost, risk)
Hardened, integrated, and documented systems with weekly visibility into progress
Runbooks, evidence packages, and optional ongoing support for monitoring and audit readiness
Transparent engagement
Every engagement is scoped with your security, data and legal stakeholders in mind. These are directional starting points — not shelf prices for complex programs.
Fixed
€1,950
Best for: Clarify goals, risks & plan
Start with a workshopFixed range
from €4,800
Best for: Validate with real data & evidence
Run a governed pilotCustom
from €12,000
Best for: Production rollout with guardrails
Get a custom proposalMonthly
from €1,850 / mo
Best for: Ongoing monitoring, audit readiness & iteration
Discuss ongoing supportFinal scope and pricing confirmed after Discovery. Larger or multi-practice engagements are custom-quoted.
Representative results
Details of specific engagements remain under NDA. The following are representative of the type of work we do:
B2B SaaS scale-up — production agent automation pipeline with compliance visibility maintained throughout.
Concrete outcomes from recent work — anonymized where required, measured against agreed baselines.
Zero standing privileges achieved
Security questionnaire turnaround reduced by 60%
Governed agent pilot live with full audit evidence
Cloud cost visibility and FinOps controls implemented
Lakehouse FGAC and lineage operational across Databricks
Agent discovery and Trustscore baseline established
They implemented proper access controls and audit evidence for our agents more quickly than expected. Our compliance team could finally support further progress.
We had a governed agent pilot running with human approval workflows and clear evidence within two weeks. Senior, practical delivery.
Cloud foundations and cost visibility moved from a multi-month ticket process to something the leadership team could understand and trust.
Yerbabuena Digital
If you're working through questions around access, architecture, compliance, cost control, or moving a working system into a governed production environment, we can help clarify the next practical step. We respond within one business day with a direct assessment and, where it makes sense, an initial conversation.