The numbers never quite match.
The CRM says one revenue figure, accounting says another, and the meeting stalls arguing over which report is right instead of what to do.
// data pipelines & reporting
Two systems, two different numbers, and nobody's sure which one to believe.
When the CRM and the accounting package disagree, when month-end takes three days of exporting and pasting, the problem isn't the dashboard. It's underneath it. We build the syncs and the single source of truth so the report is one click and the number is one you can trust.
one source of truth · reports you can trust · the foundation AI needs
// when you can't trust the numbers
The symptoms of a broken data layer.
Month-end takes three days.
Someone exports from four systems, reconciles by hand in a workbook, and rebuilds the same close every single month.
Re-keyed data, drifting apart.
The same record lives in three systems, entered three times, and over weeks the copies quietly stop agreeing.
Dashboards nobody opens.
You paid for the BI tool. The owners don't look at it, because the last time the number was wrong and now they don't trust it.
Reports that are always stale.
By the time the report is built it describes last week. Decisions get made on numbers that have already moved.
Data too messy for AI.
You want to put a model on top, but the records are scattered and contradictory, so anything you build would be guessing on sand.
// what we build underneath
Data pipelines that turn scattered records into one trusted number.
Reporting people trust isn't a prettier chart. It's a data layer where every fact has one home, the systems stay in sync, and the report builds itself. We work from the bottom up.
- 01
Find Where The Numbers Diverge
RECONCILIATIONWe trace the same figures across your systems and find exactly where and why they stop agreeing: the field keyed two ways, the timing difference, the record that exists in one place and not the other.
Then we decide, with you, which system owns each fact. That decision is the whole game. Once every number has one authoritative home, 'which report is right' stops being a question.
WHAT YOU WALK AWAY WITH- A map of where your systems disagree and why
- An agreed source of truth: which system owns each fact
- 02
Sync The Systems
NO MORE RE-KEYINGWe connect the ERP, CRM, and accounting so a record entered once propagates everywhere instead of being typed three times and drifting. The pipelines run on a schedule, handle errors instead of silently dropping rows, and keep the copies in step.
The people who were the human integration, exporting and pasting between systems, get that time back for good.
WHAT YOU WALK AWAY WITH- Automated syncs between the systems you run, keyed once and kept in step
- Error handling and logging so a failed sync surfaces instead of corrupting the numbers
- 03
Build The Reporting Layer
ONE SOURCE, MANY VIEWSOn top of the reconciled data, we build the reports and dashboards owners actually read: the month-end close that used to take three days generated on demand, the metrics that matter surfaced instead of buried.
If your BI tool is the right home for it, we feed that rather than sell you another. The point is a number you trust, not more software to log into.
WHAT YOU WALK AWAY WITH- The reports and dashboards owners actually use, on live reconciled data
- The month-end close as a build-on-demand, not a three-day ritual
- 04
Ready The Data For What's Next
THE AI FOUNDATIONClean, connected, reconciled data is exactly what any AI project needs and rarely has. With the foundation in place, the interesting work (a model reading your records to classify, draft, or flag) sits on solid ground instead of guessing on a mess. And the whole layer is yours.
WHAT YOU WALK AWAY WITH- A data foundation good enough to build AI on, if and when you want to
- Full ownership of the pipelines, docs, and reports, in your accounts
// why us
Reconciliation under real scrutiny.
- We fix the data, not just the chart.
A dashboard on bad data is a faster wrong answer. We build the reconciliation and syncs underneath so the number is trustworthy before anyone graphs it, and we'll feed your existing BI tool rather than upsell another.
- Audit-grade experience.
PCI-DSS implemented, reconciliation shipped inside a Fortune 500 healthcare company, financial systems wired to banks. Numbers that have to survive an audit are familiar ground.
- Fixed quote, or capped hourly.
A defined build is a fixed quote you approve before we start, and changes are quoted, never billed into a growing invoice. When a flat rate doesn't make sense, we work hourly against a cap you approve and move to a fixed quote once the scope is known. What you never get is open-ended billing.
- US-based, and your data stays put.
Every engineer is a US citizen working in the US. Your data stays in your systems, nothing leaves the country, nothing trains on it, and you own the whole pipeline.
// questions
Before you trust another report.
Why don't our systems agree on the same number?
Almost always because the same fact is entered in more than one place and the places drift apart. Sales closes a deal in the CRM, finance books it in accounting, and a date, an amount, or a status gets keyed slightly differently in each. Without a sync and an agreed source of truth, both are 'right' and neither matches. We find where the numbers diverge, decide which system owns each fact, and wire the rest to follow it.
What does a pipeline or reporting project cost?
For a defined build it's a fixed quote, given after the free intro call and locked before we start. We don't publish a number because syncing two systems and building a full month-end reporting layer are different sizes of job. You approve the scope and the price up front, and changes are quoted rather than billed silently. Ongoing support runs as a retainer sized to your operation. When a flat rate doesn't make sense, say an undocumented source no one has mapped yet, we work hourly against a cap you approve and move to a fixed quote once it's scoped. What you never get is open-ended billing running in the background.
Can't our BI tool just do this?
A BI tool draws the charts. It doesn't fix the reason the underlying numbers disagree. Point a dashboard at messy, unreconciled data and you get a very polished wrong answer, faster. The work that makes a dashboard trustworthy happens underneath it: the syncs, the reconciliation, the single source of truth. We build that layer, and if your existing BI tool is the right place to display it, we'll feed it rather than sell you another one.
We want to do AI. Why are you talking about data pipelines?
Because the data is where AI projects quietly fail. A model is only as good as what it reads, and if your records are scattered, duplicated, and contradictory, the model inherits every one of those problems and adds confidence to them. Clean, connected, reconciled data is the unglamorous foundation the interesting AI work sits on. We'd rather build that foundation right than sell you a model that's guessing on top of a mess.
Where does the data actually live, and is it safe?
In your systems and your accounts, not ours. We build to your compliance requirements and put it in writing: your data stays where it is, nothing leaves the country, and nothing we build trains on it. Every engineer is a US citizen working in the US. We've handled reconciliation and reporting under real audit scrutiny before, including PCI-DSS and inside a Fortune 500 healthcare company.
// let's reconcile it
Tell us which two numbers don't match.
Thirty minutes over Google Meet, no prep. Describe where your systems disagree or how long month-end takes, and we'll tell you where the data layer is breaking and what a single source of truth would take.
Based in the South Bay of Los AngelesOn-site across LA & Orange CountyRemote clients welcome
SCHEDULE DIRECTLY
Chris Hayes
Founder & Principal Engineer
Book straight onto Chris's calendar. No sales rep and nothing to prepare: you talk with the engineer who would actually scope the work.
ON THE CALL
- Where your team's hours actually go.
- What's worth automating, and what isn't.
- A concrete next step, or an honest no.
OR SEND A NOTE