Data Platforms & Integration

Build the data platform.
Or connect the one you have.

If your data is spread across systems, we build a data lake or warehouse in your cloud that brings it into one place. If you already have one, we connect AI to it, and to your CRM, ERP and documents, with custom connectors (MCP servers).

Where this fitsThe 4-phase transformationSee the model →
  1. 01Human-led innovation
  2. 02Skill codification
  3. 03Agent-led workflows
  4. 04Agentic departments

What’s not working

The data is there.
Getting to it is the problem.

I put in a ticket for that report three weeks ago.

A reporting queue

Every new report is an IT build, and the queue is measured in weeks.

Copilot can’t see our actual numbers.

AI that can’t see your numbers

Assistants answer from what they were trained on, or from whatever someone pastes in. Neither one is your general ledger.

Okay, so whose number is right?

No single source

Sales, finance and operations each keep their own numbers, so every meeting starts with whose number is right.

How it works

From question
to trusted answer.

We start with one team and the questions it asks most, then pick the path: build where the data is scattered, connect where it already lives. We prove the answers reconcile, then add the next source.

  1. Step 01

    Map

    Pick the system and the questions that matter most. Agree who can see what.

  2. Step 02

    Build or connect

    Stand up a data lake or warehouse in your cloud, or build read-only connectors to the systems you already run. Both sit under your identity and access controls.

  3. Step 03

    Teach

    Load your definitions: entities, chart of accounts, product lines and the terms your team actually uses.

  4. Step 04

    Prove

    Check answers against your existing BI before anyone relies on them, then hand it to the team.

How it is vs. how it’ll be

Ask IT vs. ask the data.

“Ask IT” With a data platform
Time to a new report Weeks in a queue Minutes
Who can ask Analysts who know SQL Anyone on the team
Can you trust it Depends who built it Reconciled to your BI, with sources
Where the data lives Copies in spreadsheets One governed source, in your cloud
~200 hrs/moA multinational manufacturer got this back within two weeks: the baseline we measure ROI against.

Why it matters

What changes for you.

In your cloud, under your rules

Whether we build the platform or connect to yours, it runs in your environment with your identity and access controls. Connectors are read-only unless you decide otherwise.

Every answer shows its source

Numbers trace to the table or document they came from, so finance can check them.

Built on an open standard

MCP connectors work across AI tools, so you don’t rebuild them when your tools change.

Honest about platforms

We’re a Claude Partner Network member and a Microsoft partner, and we work with whatever stack you’re already on.