HOW WE ENGAGE
The hard part of AI isn’t the model. It’s the data.
Delivering results takes more than a platform. Our experts working alongside your team make it real.
HOW THE BUNDLE WORKS
Closing the data capabilities gap
Tools alone leave teams stuck. We pair the platform with experienced data engineers and architects who deliver the results — your dashboards, your pipelines, your AI, in production. Foundation is bundled, not optional. Your team isn’t on the hook to figure it out alone.
Consulting alone is too slow. Senior practitioners amplified by AI agents. Foundation in 4 weeks: production results.
AI raises the bar. The runtime and the AI run off the same metadata. No bolt-on catalog layer, no second store for the assistants to reason from. AI you can audit because every action grounds in the platform’s actual record.
THE THREE PHASES
Foundation, Acceleration, Mastery.
One practice, one team, the long arc of your data work.
Foundation
First Month
Platform deployed and integrated. Initial data sources connected. Catalog enriched with AI-generated context. First analytical wins shipped to production.
Acceleration
First Year
Scope expands across domains. AI-amplified exploration. Architecture docs as byproduct. More sophisticated solutions, more durable models.
Mastery
Ongoing
Customer team owns the platform. Silectis continues as ongoing partner. AI-amplified diagnostics, proactive anomaly detection, partnership compounds.
PRINCIPLES
Three principles applied across every phase.
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01
Collaborative.
We work alongside your team. The point of the engagement isn’t to do the work for you; it’s to deliver outcomes while building your team’s capability to own the platform. After we leave, the work continues and improves.
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02
Results-focused.
We measure ourselves on what’s running in production. Engagements ship working code, pipelines, dimensional models, and analytics, not assessments and recommendations.
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03
AI-native.
We use AI aggressively as a multiplier on every step. AI agents handle scale and repetition. Senior practitioners handle direction, judgment, and relationship.
BUILT FOR BOTH AUDIENCES
Every artifact we produce serves your team and your agents at once.
The context that helps your team navigate the data is the context agents use to assist. Every exploration adds to it, so both get sharper with use.
WHAT WE DELIVER
Two kinds of output, both built to last.
Technical infrastructure is what runs the work. Pipelines, dimensional models, custom ML implementations, API integrations, reverse ETL, operational monitoring, anomaly detection. It ships to production and your team operates it.
Context artifacts are what make the work durable. The enriched Magpie catalog, lineage graphs and transformation narratives, domain context that drives the Catalog Assistant, architecture documentation generated as a byproduct, glossary and field-level metadata.
We don’t run two parallel tracks for “data understanding” and “AI readiness.” They’re the same track, producing the same context, serving the same need.
WHAT WE ASK
Collaborative by design.
It works because your team participates — directionally on goals and priorities, substantively in working sessions, and operationally in growing ownership of the platform.
We bring the practitioners and the agents. You bring the business. The work happens in concert.
Talk to us about your first four weeks.
Senior practitioners working alongside your team, on your real problems.