AI-powered spreadsheet review
See how AI review and assurance layers work together in production workflows.
Explore AI reviewRockhopper is the spreadsheet AI reviewer and sign-off layer that sits between AI agents and your financial spreadsheets, so your team can move at agent speed without losing human control.
AI Agents
Agent output
Rockhopper Assurance Layer
Governance · Control · Transparency
Governed output
Reporting ready
AI agents are coming for your spreadsheets. The controls haven't caught up. 94% of enterprise spreadsheets already contain errors — and that's before AI agents start touching them. When an agent builds a model or updates a forecast, who's accountable? How does the Controller sign off? What goes in the audit trail?
A CFO's case for independent oversight of agentic AI workflows.
AI agents modify cells, update formulas, and restructure models without leaving a traceable, approvable record. Teammates, managers, and auditors can't review what they can't see — there's no AI agent audit trail to fall back on.
Agent updated 412 cells in Revenue Model v7
No reviewer assigned
No change log entry created
Claude for Excel can build the model. Claude cannot sign off on SOX controls. Someone still has to. Rockhopper is the bridge between agent output and human accountability. The missing piece of AI agent governance for financial documents.
"Who approved the agent's forecast?"
"Which control owner signed off?"
"Where's the SOX evidence?"
SOX controls, IFRS compliance, and internal review processes were designed for humans. They have no provision for an AI that changed 400 cells overnight.
SOX 404: No control for agent-initiated changes
IFRS 16: Lease model updated by agent — no review
Internal audit: Agent bypass not in risk matrix
When an AI agent makes a mistake in a financial model, it doesn't make one mistake — it makes the same mistake across every connected cell, tab, and downstream report, instantly.
1 formula error → 847 affected cells
3 downstream reports corrupted
Discovered 14 days later at close
Infrastructure for the agent-augmented finance team. Rockhopper doesn't compete with your AI agent. It makes your AI agent deployable; by giving every change, regardless of who made it, a transparent, governed, sign-off-ready record.
Every cell changed by an AI agent is logged, summarized in plain English. What changed, how much, by whom — human or machine — and what it means for your numbers.
Route agent outputs through the same review and approval workflows your team already uses. Set materiality thresholds, require sign-off above a dollar amount, flag changes that cross SOX control boundaries.
Rockhopper maintains a complete, immutable record of every change — human or agent — with timestamps, version snapshots, and reviewer sign-offs. Your auditors get a log they can actually use.
The review layer every agent relies on.
Your AI agent — Claude, a custom model, or any third-party — runs its task. It updates assumptions, builds a forecast, reconciles data, or flags anomalies. All changes are captured by Rockhopper in real time.
Rockhopper automatically classifies each change — structural vs. input, material vs. immaterial — and generates a plain-English change log summary and visualizer for the reviewer. No hunting through cells.
Based on your configured thresholds, changes above a materiality level or crossing a SOX control boundary are automatically routed to the right reviewer — Controller, CFO, or auditor — for sign-off.
Every action — agent and human — is written to an immutable log with timestamps, reviewer identity, and version snapshots. Your auditors get a complete, exportable record without anyone building it manually.
Built for companies that can't afford to get it wrong.
Rockhopper was designed for organizations with real compliance obligations — SOX-controlled environments, IFRS reporters, and regulated industries where every number needs a name behind it.
Define control thresholds by dollar amount, formula type, or tab. Any agent or human change that crosses a boundary triggers an automatic review workflow.
Rockhopper flags changes to cells tied to recognized IFRS or GAAP line items, ensuring disclosures stay accurate when agents update underlying assumptions.
AI agents inherit the same workflow controls as human users. An agent cannot self-approve a material change any more than a preparer can self-approve a journal entry.
Every change, approval, and sign-off is written to a tamper-proof log. Export a full package for external auditors in one click, including agent attribution for every action.
For EU financial entities, DORA requires demonstrable ICT risk management and incident traceability. Rockhopper's immutable, timestamped change log gives risk and compliance teams a ready-made record of every agent-initiated change to financial spreadsheets — supporting ICT third-party risk oversight when AI agents are part of the toolchain.
Finance and revenue-cycle teams at healthcare organizations often work in spreadsheets that touch claims, billing, and reimbursement data adjacent to PHI. Rockhopper's per-user and per-agent attribution helps these teams demonstrate who accessed or changed a file and when — supporting the access-tracking expectations that sit alongside HIPAA's Security Rule.
Where spreadsheets contain EU personal data used in financial reporting or forecasting, Rockhopper's audit log helps document who processed that data — human or AI agent — and when, supporting accountability and record-of-processing obligations.
For banks and financial institutions, Rockhopper's materiality gates and version history give risk teams a way to show how capital and risk-weighted-asset models evolved, and who — or what agent — touched them, ahead of regulatory model-review cycles.
For finance teams whose spreadsheets touch payment reconciliation, Rockhopper's audit trail and access attribution support the change-tracking and access-control expectations that PCI DSS assessors look for around any system handling cardholder-adjacent data.
Agents and humans. Both need Rockhopper.
Scaling laws haven't ended. Models will be 5x more capable within two years. Every financial document will be touched by an agent. The question isn't whether AI enters your finance team — it's whether you have the infrastructure to let it in safely.
5×
More capable AI models within 2 years. Finance teams that adopt agents now build an insurmountable productivity advantage.
100%
Of financial documents will be touched by AI within 5 years. The governance layer is not optional — it's inevitable.
$0
Liability that any AI agent can accept. Rockhopper holds the accountability layer that models legally and practically cannot.
1
Review layer that works with any agent — Claude, GPT, or custom — and any workflow. Bring your own AI. Rockhopper handles the rest.
“The future of audit is a collaboration between agents and humans — two separate species working together. The tools they use must welcome both equally.”
Sebastian Perez Lawrence
Cofounder & CEO
Rockhopper Inc.
Related resources
Keep exploring with practical guides, product pages, and proof points for your evaluation process.
See how AI review and assurance layers work together in production workflows.
Explore AI reviewMap agent and human edits with cell-level attribution.
View track changesEvaluate finance-focused controls against alternative workflows.
See comparison pagesRockhopper is built specifically for this: a cell-level, immutable audit trail that sits inside Excel and Google Sheets rather than a separate system you have to reconcile against your models. It logs every change — who or what made it, when, and whether it was material — and produces an auditor-ready, exportable record across the regulatory frameworks finance and risk teams most commonly answer to, including:
Rockhopper is the assurance infrastructure your AI-augmented finance team needs before the models get any faster.
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