An AI finance copilot lets finance teams ask questions about performance, cash flow, expenses and budgets in plain language, and get answers linked back to the underlying data. SoluLab built this copilot for an enterprise finance team to cut manual searching and speed up variance reviews, with people approving every consequential action.
Finance teams sit on plenty of data. The hard part is getting to the right number, quickly, and explaining what it means.
Budget-versus-actuals sits in one place, cash flow in another, expense detail somewhere else. Each question turns into a hunt.
The client wanted a faster way to answer everyday finance questions and spot what had changed, without handing decisions over to a black box. Finance is a field where an unexplained number is worse than no number.
So the brief to SoluLab was clear: build an assistant that speeds up analysis and drafting, keeps people in control, and shows its working.
Answering a simple question about expense trends or period comparisons meant pulling data from several sources and reassembling it by hand.
Spotting a significant variance or unusual movement depended on someone looking in the right place at the right time.
Financial summaries, management commentary and follow-up questions for the team were written from scratch each cycle.
A finance team can’t act on an answer it can’t verify. Any assistant had to respect who’s allowed to see what, show its sources, and stop short of acting alone.That last point shaped everything else we built.
The copilot follows a simple four-step workflow, and a person stays in the loop at the end of it.
The copilot connects only to finance data sources the client has approved. It sees what the user’s role allows and nothing more.
Team members ask questions the way they’d ask a colleague.
No query language, no report request.
Every answer comes with supporting context and links back to the source data. A reviewer can check where a number came from before relying on it. That’s the difference between a useful answer and a guess.
The copilot prepares the next action, and a person reviews and approves it before anything consequential happens.
We designed the controls first, then the features around them.
Final controls depend on the agreed architecture and the client’s requirements, and they’re confirmed during design.
We built the copilot in layers, so data access, language understanding, review and governance can each be adjusted on their own.
We get asked why the assistant doesn’t just act on its own findings.
Honestly, because in finance the person who signs off needs to understand what they’re signing.
AI is good at the slow parts: searching, comparing, drafting.
It’s not a substitute for accountability. So the copilot does the legwork and shows its sources, and your team makes the call.
That keeps the speed without giving up control, and it’s the reason finance leaders can say yes to it.
The copilot is built to deliver three things: less manual searching, faster variance reviews and clearer management insight.
We don’t publish a number we can’t stand behind.
How much time a team saves depends on data quality, source systems, access controls and integrations. So we agree the KPIs up front with the client’s finance team, set a baseline, and measure against it once the copilot is live.
A good first set of measures looks like this: time to answer a routine finance question, time to complete a variance review, and time spent drafting summaries and commentary.
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Rajat Lala is a Co-Founder of SoluLab and a former principal software architect at Citrix. He provided the technical review for this case study, including the architecture and the human-in-control design described above. Meet the SoluLab team.
SoluLab is an AI-native product development partner for enterprises and high-growth startups, building production-grade AI, blockchain and software products. With 250+ developers and 11+ years of experience, SoluLab serves clients across North America, Europe, the Middle East and APAC, including in finance, healthcare, logistics, retail and education.
You don’t need to automate the whole finance function at once. Pick one high-value use case, tell us where the data lives, and we’ll show you how an AI copilot can take the searching and drafting off your team’s plate, with your people still in control.
Let’s discuss your unique project. Talk to SoluLab: sales@solulab.com | www.solulab.com
