Capabilities
Connected data. Useful software.
Measure what separate systems miss.
Combine information to understand performance across locations, services, customers or teams.
Build useful measures around how the business actually works, beyond the fields in any one application.
Look more closely at changes, patterns and exceptions. Agree which costs, dates and activities belong in each measure, so the analysis has a clear meaning and its limits stay visible.
- Shared definitions for every key figure
- Forecasts and scenarios, tested against a baseline
- A data science team, included
Enough to see where to look.
Made-up example- Revenue
- $302,300
- Direct contribution
- $96,700
- Open issues
- 12
A summary gives you direction. It cannot explain every exception by itself.
The data science team
An elite data science team, included.
Our harness keeps complex analysis on track: how the data runs through, the statistics behind it, and results that are shown and proven. Developed by math PhDs and data scientists from Frontier and Meta.
Questions it answers
- Why is margin slipping at certain locations?
- Where is overtime spiking, and why?
- Which referral sources actually convert to revenue?
- Where is revenue leaking between the work and the bill?
Remove the work between systems.
Automate recurring preparation, reconciliations, updates and handoffs.
Surface exceptions for review so people can focus their attention where it is needed.
A workflow can bring information together, check it and prepare the next step for the right team. Any action back into a business system is scoped and permissioned.
- Scheduled reports, built for you
- Exceptions routed to the right person
- Your workbooks filled, formulas kept
Today
Export → copy → ask → check → repeat
Each question rebuilds the company context by hand.
- 01Collect exportsFour snapshots
- 02Rebuild the joinCopy. Clean. Match.
- 03Recreate the rulesWhich definition?
- 04Prompt and inspectContext repeats
- 05Share a snapshotStart over next time
Connected
Connect → define → check → reuse
Agreed rules serve reports, apps, your BI and AI.
- 01Refresh sourcesOn a schedule
- 02Match recordsOne identity
- 03Apply one definitionAgreed and tested
- 04Check the dataGaps visible
- 05Deliver and reuseReport, app or answer
Give people tools that fit their work.
Build practical internal applications, dashboards or workflows on the same connected foundation.
The starting point is the task: what someone needs to see, check or complete. Work with the tools the team already uses, including spreadsheets where those stay useful.
Your BI tool keeps its job as the visual layer. We connect it to the data underneath, which is the part we own.
- Apps built on your real records
- Your BI connected to clean data
- Every result traces back to its source
Oct 5 to 11, example period
Good morning. Here's your company.
- Revenue
- $302,300
- Direct contribution
- $96,700
- Open issues
- 12
Direct contribution by location
North
Overtime above plan on 3 shifts
Source path
- Billing records
- Payroll records
- Scheduling records
Agreed rule
Direct contribution is revenue less direct labor and direct supplies, by location.
Changes have a route to the screen. Each source keeps its own refresh schedule.
On BI
Keep your BI tool. Feed it the rest of your data.
BI doesn't clean data, and it connects shallowly. Typically only 10% of the available data gets used. BI is the visual layer. Underneath it is the data, and that is what we own. We connect your BI to it, and add custom AI on demand.
Make AI useful in your business.
Give AI access to relevant company information within agreed permissions, so it can answer questions with business context.
The foundation gives that work consistent definitions and information people can check. The AI picks approved figures. Our server writes the values.
Analysis, automation and internal tools also work on their own. Add AI where it serves a useful purpose for your team.
- Answers from your real numbers
- Sources, dates and gaps shown
- Software for the repeats, AI for the exceptions
What the answer can use
- OrdersNot provided
- Service timeNot provided
- ReturnsNot provided
- Cost rulesNot defined
Connection quality
- Access
- Only what you paste
- Freshness
- Unknown
- Definitions
- Depend on the prompt
Illustrative response · no model running
Which customers are actually profitable?
Web chat
I can explain how to calculate profitability. I cannot rank your customers from a question alone. Supply the records or connect an approved source.
It can guess missing facts unless you tell it to stop.
The answer path · try it
The AI can't invent your numbers.
- 1
The AI picks a reference
It selects an approved figure by reference. It never writes a number or its own database query.
- 2
The server writes the value
Values, units, dates and coverage notes come from the reconciled data, for your role only.
- 3
The answer shows its source
Every answer shows where it came from and what was missing. Unsupported picks are rejected.
Click a drawer or press 1 to 5 to ask. Press x to send an off-list pick. Example figures.
Why Ridgepole →What would you like to understand or get done?
A question your systems can't answer. Work your team repeats. A tool you wish existed. Tell us where you want to start.