B2B SaaSto produce the monthly board pack
Built: Board pack & variance commentary, live in 5 weeks
A finance-fluent AI engineer joins your team, builds the workflows you rebuild every month, and hands them over working. Live in weeks, not on next year’s IT roadmap.
30 minutes with a finance AI lead and an engineer.
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Finance teams running on Datarails






























Rebuilt from scratch every close. When they’re out, so is the workflow.
Finance knows exactly what to fix. IT has other priorities.
“We’re experimenting” buys you one quarter. Maybe.
You don’t need another AI tool. You need someone to build it with you.
Get my free sessionThe Forward Deployed Engineer model, built for finance. One workflow at a time, live in weeks.
Pick the workflow. Define “done” and the controls it must respect.
Connected to your ERP, Excel and bank data. Tested on last month’s actuals.
Runs alongside your current process. Your team reviews every output.
Documented and runnable by the whole team, not one analyst.
They hand you a deck. We hand you a working workflow.
You’d still have to build it. We build it with you.
Those leave with the analyst. This stays with the team.
AI handles the assembly. Judgment and sign-off stay with Finance.
Prompts, pasted exports and a checklist in one person’s head. Rebuilt every month.
Context, data refresh and checks packaged into one workflow anyone on the team can run.
Stays with Finance: the judgment calls and the final sign-off.
Bring this to your sessionFinding what moved, chasing explanations, writing the same commentary structure every month.
Driver-level variances flagged and a first-draft narrative linked to the source numbers.
Stays with Finance: context only Finance knows and the final narrative.
Bring this to your sessionPulling the same exports, refreshing the same files, re-checking the same tie-outs.
Data pulls, tie-outs and the close summary draft ready on schedule.
Stays with Finance: accrual judgments and approval.
Bring this to your sessionMatching ERP, bank and billing data by hand, and chasing the same differences every close.
Automated matching with an exception queue and a full audit log.
Stays with Finance: resolving exceptions and sign-off.
Bring this to your sessionDays of assembling, formatting and checking before anyone gets to the narrative.
The pack refreshed on schedule, in your exact format, every number traceable.
Stays with Finance: the message and the review.
Bring this to your sessionUpdating actuals, rolling the model forward and explaining deltas every week.
Actuals roll-forward, delta flags and a weekly summary, ready Monday morning.
Stays with Finance: assumptions and cash decisions.
Bring this to your session
B2B SaaS450 employees · 6-person finance team
to produce the monthly board pack
Built: Board pack & variance commentary, live in 5 weeks
Healthcare services900 employees · 9-person finance team
off the monthly close
Built: Multi-entity reconciliation across ERP, bank & billing. 90%+ auto-matched
Real estate investment220 employees · 4-person finance team
per monthly investor report
Built: Property-level BvA & investor reporting, live in 4 weeks
“We’d been using Claude for commentary for months, but every close someone rebuilt the context from scratch. Five weeks later it’s a workflow the whole team runs, and I can trace every number back to the GL.”
“Our engineer spoke our language from the first meeting: accruals, cut-offs, intercompany. Nobody had to translate finance into tech, and that’s why it worked.”
“We showed the board real AI results in the same quarter we started.”
“The process was clear from day one: scope, build, parallel run, handover. My team was in the room the whole way, and they own it now. It doesn’t depend on anyone outside finance.”
“It felt like hiring a finance engineer, without the six-month search.”





They’ve run the close. They’ve built the board pack at 11pm. And they’ve already taken finance teams from experiments to production.


Former FP&A and controllership leader. Scopes the work and owns the business logic.


Builds and tests inside your environment. Fluent in GL structures, close calendars and audit trails.
If AI isn’t the answer for that workflow, you’ll hear that too.
Yes. No fee, no obligation. If you go further, scope and price are agreed before any work starts.
No. Many teams come a few months into ChatGPT or Claude. Others start from a manual process. Either works.
IT keeps systems running and secure. This adds finance-specific build capacity that works within IT’s approvals.
A finance AI lead and an engineer from the FinanceOS Forward team. We’ll introduce them by email before your session.
Start with 30 minutes on the one your team would most like gone.
Free · 30 minutes · No deck, no demo