Hyperautomaze turns recurring finance reporting into an automated flow — data moves from your systems — SAP, Oracle, Power BI, Excel or whatever you run — into finished, management-ready packs, powered by governed AI on a rock-solid automation core. Finance always in control.
We help CFO offices and FP&A teams turn fragmented recurring reporting work into structured, decision-ready systems.
Illustrative monthly cycle — every engagement starts by measuring your real numbers
Today — manual, every month
With a structured system
This is also how we measure success: hours per cycle, review loops, time-to-pack — captured before, verified after. The ROI conversation happens in your numbers, not ours.
Built by people who ran these cycles themselves.
We pull the data from your systems, structure it, and turn it into the outputs your management actually works with — refreshable by month, entity or view.
Excel models, PowerPoint packs or dashboards — start with a clean data feed, scale to the full pack.
The data lands clean and structured from your systems — tables, charts and slides assemble into the pack, in the tools your team already works in.
e.g. ERP → structured data → finished management pack. Or start with just the reliable data feed — the output format is yours.
First drafts come from drivers, history and context — your team reviews and keeps the final word.
e.g. variance drivers spotted and a first commentary draft ready before the review meeting starts.
One consistent, board-grade standard — without manual reformatting, month after month.
e.g. the monthly deck rebuilds itself — same standard for any month, entity or view you need.
We split what repeats from what needs judgment — and structure the whole workflow around that line.
e.g. we map your close: what repeats gets automated, what needs judgment stays with your team.
AI drives context, drivers and first-draft commentary. A deterministic automation core handles everything that repeats — and finance stays in control of every word that goes out.
Deterministic. Testable. The same result every cycle.
Finance owns judgment, review and the final word — always.
Minimal data movement, no training on your data — GDPR-conscious by default.
Built around Excel, PowerPoint, Power BI and SAP — or whatever ERP you run. No rip-and-replace.
AI drafts and flags gaps. Your team reviews, approves and owns the final word.
Documented and handed over — no black box, no agency lock-in.
Three contained steps. Each one stands on its own, each one lowers the risk of the next.
≈ 2–3 weeks · fixed scope · standalone result
We map your workflow, measure the burden in hours and loops, and hand you a prioritised roadmap.
The roadmap is yours to keep — with or without us.
typically 6–10 weeks · one recurring workflow
One workflow automated end to end — with a measured before-and-after in your own numbers.
Contained project, visible value, no platform commitment.
Scoped after the pilot
The proven logic rolled out across your recurring outputs — documented and handed over.
You own the system.
Nowhere it doesn't need to. We work inside your environment with minimal data movement, use AI only for the steps we explicitly agree on, and never allow training on your data. Data handling is defined together with your IT before anything runs.
No. We build in and around your existing stack — Excel, PowerPoint, Power BI, SAP / SAC or whatever ERP you run. The goal is structure in your workflow, not another license on your bill.
Yes. The work is grounded in hands-on experience with the reporting reality around ERP data, SAP / SAP Analytics Cloud, Power BI and the Excel-and-PowerPoint layer where management reporting actually gets finished. We automate around your systems — we don't ask you to replace them.
Tools present data; they don't walk the path from data to a management-ready pack with commentary. That path is a workflow — and it's exactly what we structure, around whatever tools you already use. If you have an FP&A platform, we make it more useful, not redundant.
The diagnostic runs at a fixed price, pilots are scoped as contained projects — and there are no licenses or subscriptions. The diagnostic itself produces the business case: your hours per cycle, measured before you commit to anything bigger.
Everywhere it makes the output better: driver identification, context synthesis, first-draft commentary, spotting what's missing before the review does. It runs governed — agreed scope, no training on your data — and it never publishes: finance reviews and owns every word. That's AI a CFO can actually sign off on.
You do. Workflow logic, templates and documentation are handed over as part of every engagement. No black box, no dependency by design.
No — it replaces their copy-paste work. Capacity shifts from producing packs to analysing them, which is usually the strongest retention argument a finance team can get.
The diagnostic takes two to three weeks and delivers value on its own — a measured map of your reporting burden and a prioritised roadmap. A first pilot typically shows its before-and-after within one to two reporting cycles.
Hyperautomaze exists because finance teams spend too much time producing recurring outputs — and too little time understanding them.
Built on group-finance careers across multiple international corporates — FP&A, controlling, financial modelling, M&A and management reporting up to board level. We have automated exactly these processes end to end in practice: data feeds, reporting packs, commentary workflows. Everything we sell, we have already built and run inside a corporate — nothing here is theory.
Finance has a workflow problem, not just a data problem. Automation handles what repeats. AI supports context and drafts. Finance owns the final word.
Clarity first. Technology second. Hype never.
If your team still spends too much of each month on packs, commentary and review loops, a short conversation will tell you quickly whether structured workflow automation is worth it for you.
Prefer email?
contact@hyperautomaze.com