Hyperautomaze turns recurring finance reporting into an automated flow — data moves from SAP, Power BI and Excel into finished, management-ready packs. Automation first, AI where useful, 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.
We pull the data from your systems, structure it in Excel, and prepare every output in exactly the shape it flies into PowerPoint — refreshable by month, entity or whatever your view is.
The data lands in Excel from your systems automatically — tables, charts and slides assemble into the pack, refreshable every cycle.
First drafts come from drivers, history and context — your team reviews and keeps the final word.
One consistent, board-grade standard — without manual reformatting, month after month.
We split what repeats from what needs judgment — and structure the whole workflow around that line.
Stable, repeatable work should be structured and automated. Context, synthesis and first drafts are where AI helps — and finance stays in control.
Deterministic. Testable. The same result every cycle.
Finance owns judgment, review and the final word — always.
“No source, no confident explanation. If context is missing, the system asks for it.”
Minimal data movement, no training on your data — GDPR-conscious by default.
Built around Excel, PowerPoint, Power BI and SAP / SAC — 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 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.
≈ 4–8 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 and SAP Analytics Cloud, ERP exports, SharePoint. 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.
Less than you might expect — deliberately. Everything stable and rules-based runs as structured automation. AI is used only where context and synthesis matter: driver logic, commentary first drafts, surfacing missing information. And it never publishes; finance reviews and owns every output.
You do. Workflow logic, templates and documentation are handed over as part of every engagement. No black box, no dependency by design.
The diagnostic takes about two 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.
Founder-led and finance-native: hands-on FP&A, modelling and management reporting — turned into structured, automated workflows. The role in every engagement: the bridge between finance, data, automation and AI.
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.
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