Finance + Operations
Build the operating rhythm
Budgets, forecasting, and reporting that tell you where you actually stand. Clear ownership over how decisions get made.
CRM / Membership
One system of record among several
Finance
Its own version of the truth
Files
Knowledge that lives in folders
Data Pipeline
Where the connections get built
Single Source of Truth
100%
unified
Every system, one answer
Governance
The rules the work runs inside
Reporting
The view built on all of it
Institutional Knowledge
How renewal pricing works
The month-end close steps
Who to call at the bank
Fifteen years of know-how, one person deep
Teams
$284K
↑ +18% MoMCash on hand
$148K
2.1 months ahead
AR outstanding
$12,400
-31% aging
Gross margin
58%
+3 pts YoY
100%
one source of truth
Revenue by line
In the background
Invoice matching ran · 2 held for review
Board pack drafted · waiting on your eyes
Every action logged
Key findings
Recurring revenue is now 64% of the mix, the biggest driver of the month. Margin held at 58% through the growth.
The AI layer · on your governed data
Where should we focus next quarter?
Recurring engagements. They carry 64% of revenue at your best margin, and three renewals land within 60 days.
Grounded in your one source of truth and your team’s know-how
Decision: prioritize the three renewals. Taken to Thursday’s leadership meeting.
Foundation first
Ready for what’s next.
The nature of work is changing, and the organizations that thrive will be built around people and AI working together. We advise, build, and work inside your finance, operations, and data to build that organization with you.
How the work flows
Source
The systems already in place
Systems
What gets built between them
Intelligence
What the numbers say
Decisions
What leadership does with it
Outcomes
What the team stops doing
Guardrails from the first build
AI will keep changing. Organizations that build the right foundation absorb that change instead of chasing it.
Every tool will be replaced. What stays is an organization that knows how to work with AI, and a team that built it together.
The starting point
Almost every organization is in the same place: people using AI to help with their own work, and nothing structural has changed yet. That's the normal starting point, not a failure to catch up.
The argument isn't how far behind you are. It's capacity: what your organization could carry if the repeatable work stopped consuming the people who do it.
The gap isn't the tool. It's deciding where to start.
Source: McKinsey, The State of AI, 2025
What we do
Build the operating rhythm
Budgets, forecasting, and reporting that tell you where you actually stand. Clear ownership over how decisions get made.
Remove repetitive work
Connect systems and data. Automate rules and handoffs. Reduce manual work and minimize risk.
Turn data into direction
Unify data. Surface what changed. Build reporting and dashboards leaders trust to make confident decisions.
Who we help
Different starting points, the same pressure: more to carry than the systems were built to support.
Scaling teams, increasing complexity, and needing clearer data, better systems, and stronger financial and operational visibility.
Doing more with less, stretched across programs and reporting, and needing systems that make every dollar visible.
NonprofitHealthcareProfessional ServicesFinancial ServicesWealth ManagementConstructionTechnologyMediaSports and RecreationConsultingReal Estate
People carry the judgment. Technology carries the load.
Hand it off
Routine work. Clear rules.
Work it together
Human thinking. AI acceleration.
Set it running
Defined guardrails. Human oversight.
There is no playbook for this yet. What is emerging instead is a pattern: the organizations seeing real returns are not layering AI onto how they already work. They are rethinking how the work gets done, from the ground up, finding the bottlenecks nobody has named, and building on what the evidence shows instead of what everyone assumes.
The real question is not whether AI changes how your organization runs. It already is.
It is whether you are the one deciding how.
How we start
Every engagement that goes well starts the same way: with something the leader cannot currently see, not a tool, a platform, or a budget line. The deliverable comes out of the question, never the other way around.
“What's the one thing you can't currently see that you wish you could?”
The question we open with
Make it real. Not what you'd like to know eventually, what's costing you right now.
Push past efficiency. If the only return is hours saved, ask what larger opportunity is being missed.
Most of an organization's institutional knowledge is undocumented: it lives in the head of the person who does the work, and looks different from how the process map says it looks.
You cannot improve what nobody has ever written down.
Work at the level of the role. What does a program director, a controller, a membership lead actually do in a week, and where does the time drain: searching, re-keying, reconciling, chasing, waiting on an approval.
Ask what would break at twice the size. That answer tells you what to build first.
Outcomes, in practice
Start small enough to act.Build far enough to matter.
We meet you where you are, connect what matters, and stay with the work as it grows.
Brought in at finance-director depth, we rebuilt the data underneath the numbers, and the confidence that followed opened the door to everything since.
Rebuilt
the data foundation, start to finish
A custom application inside the client's own tenant checks the numbers whenever a lease changes, before they ever reach an owner.
One source
every property in the same place
CRM, billing, and support unified into a single view, so a question about a customer has one answer instead of three.
Re-keying gone
manual entry designed out of the process
Reporting that used to be rebuilt by hand each cycle now comes together on its own, so staff time goes to the mission.
Grant-ready
reporting assembled without the hand work
In their words
They helped us see where the work was breaking down and what needed to change first. What looked like one problem turned out to be a much bigger opportunity.
What stood out was how quickly they understood the work. They didn't just recommend changes. They worked alongside us to make the process clearer and easier to manage.
The biggest difference was time. Our team spent less time chasing information and more time acting on it.
We build finance, data, and AI systems for growing businesses and nonprofits, embedded directly in your environment so your team can focus on the work only people can do.
With our Discovery & Roadmap. We assess which processes are ready, diagnose which investments actually address the constraint, and sequence the build so each step compounds, before anything gets built.
Yes, alongside growing businesses. Both are navigating the same shift right now: figuring out where AI and automation actually earn their place, without losing the judgment and relationships that make the organization work. We build the same way for either.
You own everything from day one, built inside your environment, and we stay engaged through what comes next. Partnerships that evolve, not engagements that end.
Where to begin
We'll help you see what needs people, what systems can carry, and what to build first. That first process is where every engagement we've taken on started.