Numbers you can trust. Systems that talk.
Data foundation, integration, reporting and dashboards, operational visibility. When the month-end close takes five days or three reports disagree, the problem isn’t the report — it’s underneath it. Starts with a System Evaluation.
If you’ve said any of these out loud lately.
- Three reports, three different revenue numbers, one board meeting.
- Month-end close takes a week because someone reconciles by hand.
- The data is in the systems. Getting it out is a project every single time.
- We bought a BI tool. It made the arguments prettier.
- Everyone wants AI on our data. Our data isn’t ready for a spreadsheet.
Four moves. In this order.
One priced first step. Then a real proposal.
System Evaluation
An independent read on your systems, your data flows, and what’s actually blocking one version of the truth — with a prioritized plan and a fixed proposal for the foundation work.
- Systems, integrations, and data flows mapped
- Where definitions diverge and reconciliation happens by hand
- Data quality and ownership gaps, prioritized
- A fixed proposal for the first slice of foundation
Before you call: How to compare system integration companies · Value-at-Stake Calculator — size the prize before you build · What it costs · How we work
Done before. Numbers attached.
15 Disconnected Systems Into One Source of Truth — Month-End Close From 5 Days to 1
A national entertainment operator ran 15 business-critical systems that never talked to each other. We built the integration hub that connected them, cut month-end close from five days to one, and made real-time cross-system reporting possible for the first time.
12 Systems Into One AML Platform — 75% Fewer False Positives, Zero Regulatory Findings
A financial services firm consolidated 12 fragmented source systems into one audited AML data warehouse, rebuilt detection on top of it, cut false positives 75% — and passed its next regulatory examination with zero findings.
30% More Actionable Insight: Telemetry That Turns Guesswork Into Growth
A national entertainment operator was making growth decisions on intuition. We unified 12 fragmented data sources into one operational intelligence layer — turning weeks of Excel work into real-time answers and 30% more actionable insight.
Partner, not vendor.
You guys really exceeded my expectations. The understanding the team has of our complex business is impressive. We’ve come a long way and you guys made it happen.
Everyone was so thrilled about having a modern system that’s easy to log into, and everyone was happy with the reporting. We almost didn’t have to do any training anymore because the system was intuitive.
Five steps, every time.
For data & reporting, “Engage” means the System Evaluation first — then the project, on the engagement model we recommend after it.
- 01Discovery Call30–60 min
You tell us the problem in your words. We tell you straight whether — and where — we can help. No slides.
- 02Deep Dive60–90 min
The people closest to the problem, in one room (or one call). We get to the real constraint and the number that matters.
- 03Proposal & Paperworkdays, not weeks
Scope, price, and timeline in writing. A standard MSA and a short SOW — no 50-page lock-up.
- 04Prep & Kickoffweek 1
Access, environments, and a kickoff with everyone who touches the work. You know who’s on it and what ships first.
- 05Engageongoing
The work itself — visible every week, in your environment, with your people in the loop.
Straight answers.
Do we need a data warehouse?
Sometimes. Often the first, biggest win is integration plus a governed layer with one definition per metric — a warehouse comes later if the volume or the questions demand it. The evaluation tells you which.
Which BI tool should we use?
The one your people will actually open. We’re tool-agnostic and have built on most of them; the tool is rarely the problem. The data underneath it usually is.
How is this different from AI Office?
AI Office automates workflows on the systems you already have — and a data-readiness build is often the very first one. When the foundation itself is the project — integrating fifteen systems, standing up a governed data layer, rebuilding reporting end to end — that’s software development, and it starts here.
Can you fix our data quality?
We fix the causes: ownership, definitions, and integrations that create bad data in the first place. Cleaning symptoms without fixing causes is how you end up buying a second BI tool.
Is this the foundation for AI?
Yes. Agents and automation act on your data; if the data is wrong, they’re confidently wrong at scale. Most AI programs that stall did so here. Doing this first is how you avoid being one of them.
One version of the truth starts with an honest look.
A System Evaluation is a fixed fee. Book a 30-minute intro and tell us which number nobody in the building trusts.