Ship your data products.
Built with you. Owned by you.
Senior-led execution of your priority data products — activated, modelled, tested, governed, catalogued — built alongside your people from 4 weeks, sized to your product list. Whatever the priorities, we ship them to production and leave you with data products that run without us.
4+
weeks
Sized to your product list
3
deliverables
Data Products · Observability · Catalog
5
components
Sources to product to catalog
0
dependencies
01
WHAT WE SHIP
Three deliverables, built to last.
Data Products
A pack of priority data products, live in production and ready to consume. Modelled in dbt, defined once in the semantic layer, contracted with consumers — every metric the same number whether it's queried from a dashboard, notebook, or AI agent.
MODELS · SEMANTIC LAYER · METRICS · ONE SOURCE OF TRUTH
Observability
Freshness, volume, schema drift, lineage. Alerts on every break, owners on every dataset, runbooks for every incident — issues caught before stakeholders raise them.
MONITORING · ALERTS · LINEAGE · INCIDENTS
Catalog
Each model documents what it represents, its grain, and who uses it. The business rules, trade-offs, and exclusions behind it are captured — alongside the conventions, failure modes, and semantic context an AI agent can read without a translator.
INTENT · DECISIONS · ADRs · AGENT-READABLE
02
HOW WE WORK
Product mindset. Outcomes first.
Ilma AI is built by senior data leaders who have designed, scaled, and salvaged data platforms and teams at high-growth companies. We don't ship work and leave; we build alongside your people, embed the practice, and hand back data products that run without us. We deliver what we'd build for ourselves.
01
Outcomes
Every initiative ships working software your team owns — and produces a business outcome.
02
Built-with
Built alongside your engineers, not over them. Knowledge transfers as the work happens.
03
Hand-back
We finish when your team can run it without us.
03
THE ENGAGEMENT
From 4 weeks
Five components. Layer by layer.
01
Sources
Source systems mapped. Ownership, access, schemas, change behaviour — extraction pattern chosen per entity.
02
Models
Bronze, silver, gold tiers. Idempotent runs, partitioned by time, modelled to your business.
03
Quality
Timeliness, completeness, accuracy, validity, uniqueness, consistency. Assertions on every pipeline run.
04
Activation
BI dashboards, notebooks, AI agents. Each data product activated once through the semantic layer, used wherever the work happens.
05
Catalog
Model intent, grain, audience. Business rules and trade-offs captured. ADRs and semantic context readable by humans and AI.
Modelled, activated. Data products your business can run on.
Book a 30-minute call. We'll tell you how we'd execute — honestly.