Recipe № 04
Intake to first session
- Tribal
- As the team believes it runs
Yield · first session — day 34 median
Healthcare data, fully baked.
We build and manage your healthcare data platform—connecting clinical, finance, and workforce systems so your teams can trust their numbers, get better answers, and put AI to work.
operations
“How much did cancellations cost us last month?”
§02 · The problem
Same business. Different spreadsheets. Different answers.
Finance, operations, clinical, HR, and billing pull reports from different systems. Your people spend hours combining exports in Excel—and still disagree on the numbers.
Why your numbers don't agree
- 01
Your systems don't talk.Clinical, payroll, billing, and accounting systems each hold part of the answer.
- 02
So people become the pipeline.Teams export, copy, and combine data by hand.
- 03
Each team fills in the gaps.Names, definitions, and calculations differ across spreadsheets.
- 04
So the answers don't match.Meetings become debates about whose number is right.
- 05
And the work starts again.The next reporting cycle needs another round of exports, fixes, and checks.
How much time does each report take to produce, every week?
§03 · The cost of inaction
You already know these numbers.
Not our results. A diagnosis of the average provider's report factory. The only test: how many make you mutter “that's us.”
20
pieces of software producing siloed data
2.5
competing definitions of each key performance indicator
20%
of each team's time spent making numbers, not asking why
23 days
from filing the request to the report being read
§04 · Unified, clean data
You can't bolt AI onto broken data.
One governed data platform for reporting, AI, and automation. We connect your systems, agree on what the numbers mean, and validate the data behind the answers.
- 01 Unify the data— you are here
- 02 Ask questions
- 03 Fix the process
ai ready data stackthe semantic layercleaned and standardizeddata sources go in here- 01Ingredients in, answers out.
Your source systems feed one data platform: raw data at bronze, standardized data at silver, and business metrics at gold.
- 02Useful AI needs more than connected data.
Shared definitions, access controls, and checks against source records give AI the context it needs—and your team a way to check its answers.
- 03Build once. Answer more questions.
Reports and AI use the same validated metrics. Your team can explore new questions without rebuilding the calculations in another spreadsheet.
- 04Your staff already use AI. Give them a place where client data is safe.
A HIPAA-compliant AI workspace that runs in your tenancy, under your BAA. Every prompt is logged, and nothing trains on your data. Nobody needs to paste client details into a public chatbot.
§05 · AI-ready data stack
Ask anything. It's already answered.
Real questions behavioral-health operators ask. Each is served instantly, cited to the governed table it came from, from this morning's bake.
- 01 Unify the data
- 02 Ask questions— you are here
- 03 Fix the process
- № 113
Which locations missed budget last month, and by how much?
−$0Kthe worst gap · 4 of 12 locations missed
- № 114
Why did labor cost jump 8% last month?
+0.0%July → August · rate, hours, overtime, benefits, reconciled exactly
overtime, mostly - № 115
Which payers drove last month's denial spike?
0%of the increase came from one payer
- № 116
How much authorized therapy did we fail to deliver last month?
$0Kundelivered authorized hours, priced at contracted rates
- № 117
What is tonight's census, and where are the empty beds?
0%system occupancy tonight · 31 beds open
- № 118
What does our no-show rate cost, by clinic and slot?
$0Kper month at contracted rates · worst: Mon 8a · Fri 4p
- № next
Your question isn't here?
Book an intro callevery engagement starts with a conversation about your data
§06 · Fix root processes
Beyond answers: the recipes.
Everyone runs the process slightly differently, the knowledge is scattered, and it walks out the door. A recipe is that knowledge written down: we find the broken process in your metrics, codify the fix, and measure every month's data against it.
- 01 Unify the data
- 02 Ask questions
- 03 Fix the process— you are here
Codified, measured, optimized
Recipe № 04 · Rev 2
Intake to first session
- Codified
- Measured monthly
Yield · first session — day 12 median
§07 · Our proof points
The receipts.
Every card is a result from an engagement we run today, presented anonymized: a national multi-state provider. The reach line is the footprint those engagements add up to. The client credential is below, where names belong.
In production today
0
centers0
patients- 0+
hours a month of payroll work, automated
- before
- hand-keyed journal entries
- after
- ADP → Sage pipeline, full audit trail
- Daily
“Payroll Genie” answers FP&A questions
- before
- a demo that never shipped
- after
- live in the client's own Databricks
- $1–2M
of variance between systems, eliminated
- before
- three systems, three answers
- after
- one governed number
- 0 min
from report request to change shipped
- before
- three-week BI queue
- after
- 30-minute cycles
- 0.0
data quality score across the platform
- before
- unmonitored loads
- after
- 47 datasets · 12 rules · lineage source → report
- 0 min
per clinical chart review cycle
- before
- weeks of manual review
- after
- five minutes, every chart
Who trusts us
§08 · The team
We sat in your seat before we built your system.
Operators, builders, technologists. We have held the C-level title, built the analytics from the ground up, and we keep your data unified and reliable month after month.
§09 · How we deliver
Data is hard. Value doesn't have to wait.
Get a first useful answer in weeks, then build deeper capabilities over the following months. Together, we choose the first business question and agree on what success looks like. We build, manage, and monitor the platform as it grows, with timing shaped by source access, data quality, and your team’s review.
- What your team gets
- Help answering a priority business question, with data gaps and limits made clear.
- What we build
- Access to the needed sources, an initial connection, and checks against source records.
§10 · The FAQ
The questions every first call asks.
Asked on every intro call, answered the same way here, in plain prose.
§11 · Let's connect
Start with a call.
Twenty minutes, no prep, no commitment. Tell us where reporting hurts and we will tell you what we would fix first.
