The Problem
01 / The Problem
Your data is scattered across an AMS, a CRM, spreadsheets, and a dozen exports. Answering a simple question — "which members are at risk of lapsing?" — takes a week of manual wrangling, and the answer is stale by the time it arrives. AI and analytics can't help, because there's no clean, trusted foundation underneath them.
Without it, AI projects stall on bad data, manual reporting persists as a hidden tax on staff time, and the organization keeps making decisions on gut instead of evidence — while peer organizations pull ahead.
Who Does This Resonate With
02 / Who This Resonates With
- Chief Data Officer
- Chief Operating Officer
- VP Technology
- Director of Data & Analytics
Scoped build for your first domain, typically 6–8 weeks, with milestone-based delivery.
Mission-Driven Institutions · Associations & Foundations · Mid-Market · Legal Services · Healthcare · Financial Services
What We Do
03 / What We Do
Discover & Scope One Domain
We scope to your first domain — the one that unlocks the most value — and confirm what success looks like before any build begins.
Architecture & Data Model Design
A reference architecture and data model with measurable success criteria — reviewed and signed off before we build.
Ingestion & Layered Build
Ingestion from your source systems into a governed warehouse or lakehouse, organized in raw → clean → curated layers, built incrementally in iterations you can see.
Self-Serve Dashboard
A working dashboard on a consistent semantic layer that replaces days of manual reporting — owned by your team.
Validate & Hand Off
QA, a security and governance check, then documentation, lineage, and team training so your people own it — no lock-in, no standing dependency.
AI & Technology
04 / AI & Technology
What We Deliver
05 / What We Deliver
One domain end-to-end: ingestion from your source systems
A governed warehouse or lakehouse with raw → clean → curated layers
A working self-serve dashboard your team owns
Documentation, end-to-end data lineage, and a team handoff
Key Outcomes
06 / Key Outcomes
One governed source of truth for a domain your team can actually query
Self-serve dashboards that replace days of manual reporting
The AI-ready foundation every downstream initiative depends on
Reduced key-person risk — knowledge lives in a documented system, not one person's spreadsheets
What This Leads To
07 / What This Leads To
The data foundation is the asset the rest of the roadmap compounds on — a knowledge assistant, an automated workflow, or a predictive model has clean, governed data to stand on instead of failing quietly on bad inputs. Additional domains are added later as smaller expansions that reuse the foundation. Most clients move on to an AI Knowledge Assistant or AI Workflow Automation, and keep it healthy with a Managed Data & AI retainer. Where data simply needs to move first, Data Integration & Pipelines is the lighter starting point.
Next Step
Ready to work together?
Tell us where you are and what you're trying to solve — we'll show you where AI creates leverage inside your organization.
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A one-page overview — the problem it solves, what you get, how we scope it, and a typical range. Sent to your inbox.
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A focused 20 minutes to scope Data Foundation to your situation and show you the band before any proposal.
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