Finance

Most finance leaders know close cycles take longer than they should.

Fewer can define what's broken. We start by helping you define your problem before we build anything, and we don't stop until the solution survives an auditor's questions.

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What's Stuck Right Now

You're still working on last month's numbers, while the work you need to drive the business falls behind.

Your team is capable, and your systems work. But the month-end grind of extracts, reconciliation, and variance review eats the first half of every month. By the time the numbers are ready, you're playing catchup, and the strategic work your finance team needs to do gets pushed to next quarter. AI vendors haven't helped. They show up with platforms and promises, but they leave you with a roadmap, an MVP, and a bill. Nobody sat down first and asked where the actual breakdown is.

We help you define the problem precisely enough that the AI solution can be defended to your controller, auditors, and board. And we don't leave until you have AI in production, acting alongside your team. This is where we start.

COMMON FINANCE APPLICATIONS

What we can build for finance teams

Most AI initiatives fail after the strategy deck is delivered. PivotX stays through execution, adoption, and measurable business outcomes because that's where transformation actually happens.

Yours would look different.

Month-End Close Automation

Month-end close acceleration. Automated reconciliation and variance flagging, so the close takes days instead of weeks.

Real-Time FX Risk Monitoring

FX scenario modeling that runs continuously. Live exposure analysis instead of weekly snapshots.

Predictive Cash Flow Forecasting

Cash flow forecasting with operating drivers. Models tied to actual sales pipeline and procurement data, not just historical trends.

AI Financial Reporting

Conversational financial reporting. Senior leaders querying financial data directly, without waiting for an analyst.

Vendor Payment Reconciliation

Vendor payment sync. Procurement to AP reconciled automatically, without manual matching in the middle.

METHODOLOGY

How We Work With Finance Teams

We start by finding where your team's time is actually being lost. Then we build around the work that matters most, so AI moves from an experiment to something your finance team uses every day.

See our full method

Week 1–4

Explore & Evaluate

We map the business and identify where AI could create measurable value. Working with your team, we evaluate potential use cases and narrow the list to the ones worth pursuing. By the end of week four, we know what we're building, why it matters and how we'll measure success.

Week 5-8

Validate

Solution design and prototyping happen alongside user involvement. The people who will use the solution help shape it as it develops. Working MVPs give the team something real to test and evaluate rather than asking them to react to a finished product.

Week 9-10

Value & Scale

We deliver the working AI solution, a validated 12-month roadmap, and a quarterly execution plan. We also begin the process of putting the solution into use. At this point, your team has experience with the solution and a clear understanding of what comes next.

We help you define the problem precisely enough that the AI solution can be defended to your controller, auditors, and board. And we don't leave until you have AI in production, acting alongside your team.

We do this before anything else

Proof