Finance + Operations
Build the operating rhythm
Finance and operations as one loop, not two functions. The numbers reflect what the work actually did, every decision has a named owner, and none of it depends on us.
For growing businesses & nonprofits
Helping organizations redesign work for an AI-enabled future.
We help organizations put AI to work in ways that are strategic, practical, and aligned to real business value. From the first roadmap to the systems that carry it, we meet you where you are.
Operations built around AI, not AI added on top.
The starting point
If you are just starting, you are not behind.
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.
88%of companies use AI somewhere
6%see significant bottom-line impact
The gap isn't the tool. It's deciding where to start.
Source: McKinsey, The State of AI, 2025
Every engagement moves the same way: from the systems already in place, to the work your team stops doing.
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
What we do
Systems + Integration
Remove repetitive work
Your team in the build rather than briefed after it. Systems connected, handoffs automated, and the rules written down where anyone can check them.
Data + Decisions
Turn data into direction
One agreed definition, written down once and used everywhere. Every number traces back to the record it came from, and still holds when someone asks a different question.
How we work
Inside your environment, not ours.
The build happens in your tenant, on your data. You own everything from day one, and nothing depends on us keeping a copy.
Alongside your team, not instead of them.
Your people help build it and know why it works, because the point is capacity you keep, not a system only we understand.
And we will tell you where it does not fit.
Some of this work is automation, some is a data model, and some should stay with a person. Knowing which is the job.
Who we help
Two kinds of clients. One way of working.
Different starting points, the same pressure: more to carry than the systems were built to support.
Growing Businesses
Scaling teams, increasing complexity, and needing clearer data, better systems, and stronger financial and operational visibility.
Mission-Driven Organizations
Doing more with less, stretched across programs and reporting, and needing systems that make every dollar visible.
Representative industries
NonprofitHealthcareProfessional ServicesFinancial ServicesWealth ManagementConstructionTechnologyMediaSports and RecreationConsultingReal Estate
Foundation first: AI works when the work is ready.
- Workflow Mapping
Step 01: Fragmented systems
- 1,240CRM · Members
- 1,106Billing · Customers
- 1,388Scheduling · Clients
- 1,215Sales · Accounts
- Data Foundations & BI
Step 02: Shared foundation
1,187
One agreed number
- Who owns it
- What counts
- When it's counted
- Who can see it
- Workflow Redesign
Step 03: Redesign the work
- Intake
- InterpretException route
- DecideException route
- ActException route
- Learn
- Systems Integration & AI
Step 04: AI in the flow
AI ·Repeatable work
- Summarize
- Route
- Draft
- Monitor
Human ·Judgment
- Set intent
- Review exceptions
- Decide
- Improve
Trusted execution
Start where the work is happening.
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
Start with the question. Then find where the time goes.
Start with the question
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.
Make the work visible
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.
The path
Three phases. One direction.
Every engagement runs the same sequence, refined across clients. Many start focused and grow from there. Your pace, your call.
Read
AI Groundwork
A facilitated half day with your leadership team: where AI is welcome, where it is not, and who decides.
You leave with A written working agreement, owned by you.
Roadmap
Discovery & Roadmap
A working session with your team, a map of how the work actually flows, and what the current state costs in hours, rework, and decisions that wait.
You leave with One proven recommendation and a phased roadmap you can sequence against.
Build & Run
Build, then Fractional Partnership
Each build is scoped from the roadmap itself, so you see and approve every step before it begins. Then we stay in the work, month to month, alongside your team.
You leave with Systems you own from day one, and a partner as the roadmap becomes real.
Phase one is a conversation, not a commitment. We start with the one thing you cannot currently see.
How we build
Built this way, on purpose.
The best plan starts with how your organization actually works, not with a platform or a trend. Three commitments hold across every engagement.
Your environment, your data.
Everything is built inside the systems you already run, and you own it from day one. Less vendor dependency, more team control.
Judgment stays with people.
Systems carry the routine. Decisions, relationships, and the final call stay with your team, where they belong.
Start with the question.
Every engagement opens with what you can't currently see, never with a tool or a platform. The deliverable comes out of the question.
Outcomes, in practice
The difference shows upin the work.
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.
- Sector
- Consulting
- Discipline
- Financial foundation
A foundation the forecast can trust
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
- Sector
- Real Estate
- Discipline
- Governed build
Every property, one trusted source
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
- Sector
- Technology
- Discipline
- Data unification
One view across disconnected systems
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
- Sector
- Nonprofit
- Discipline
- Reporting automation
Grant reporting that assembles itself
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
We are not tied to one vendor.
Most of what we build runs in Microsoft, because that is where our clients already work. When a different tool fits the job better, we use it and we tell you why. You own what we build either way.
In their words
Thoughtful partners. Lasting impact.
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.
If there is a question you keep coming back to, that is where we start.
Start with the questionThe questions we hear most.
What does 2N2 Solutions do?
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.
Where should we start with AI?
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.
Do you work with nonprofits?
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're a Microsoft Partner. Do you only work in Microsoft?
No. Most of what we build runs in Microsoft, because that is where our clients already work. Microsoft itself now runs multiple AI models inside Copilot, so even inside that environment there is a choice to make. When a different tool fits the job better, we use it and we tell you why. You own what we build either way.
How does the partnership work over time?
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
Capacity comes backone process at a time.
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.