AI-powered spreadsheet review
See how AI review and assurance layers work together in production workflows.
Explore AI review The AI assurance layer for finance
Your AI agent is brilliant.
Your AI agent is brilliant.
Now make it trustworthy.
Rockhopper is the second-set-of-eyes 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
Claude
GPT
Gemini
Custom
Agent output
Rockhopper Assurance Layer
Governance · Control · Transparency
Cell-level diff
Change classification
Materiality gates
Audit log
Revert
Governed output
Reporting ready
The trust gap
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?
01 · Invisible work
No audit trail for agent work
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.
Agent updated 412 cells in Revenue Model v7
No reviewer assigned
No change log entry created
02 · Accountability gap
AI can't take on liability
Claude 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.
"Who approved the agent's forecast?"
"Which control owner signed off?"
"Where's the SOX evidence?"
03 · Missing frameworks
Governance frameworks don't include agents
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
04 · Machine speed
Errors compound at machine speed
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
What Rockhopper does
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.
01 — Transparency
See everything the agent touched
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.
Cell-level diff Agent attribution Impact narrative
02 — Control
Human in the loop, always
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.
Review workflows Materiality gates SOX controls Sign-off routing
03 — Governance
Audit-ready from day one
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.
SOX compliance Immutable log Version snapshots Auditor export
How it works
The review layer every agent relies on.
1
Agent performs analysis or builds the model
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.
2
Rockhopper classifies and summarizes every change
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.
3
Material changes are routed for human review
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.
4
Full audit trail created automatically
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.
Enterprise governance
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.
SOX control integration
Define control thresholds by dollar amount, formula type, or tab. Any agent or human change that crosses a boundary triggers an automatic review workflow.
IFRS & GAAP compliance tracking
Rockhopper flags changes to cells tied to recognized IFRS or GAAP line items, ensuring disclosures stay accurate when agents update underlying assumptions.
Segregation of duties — preserved for agents
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.
Immutable audit log — auditor-ready export
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.
The future of finance
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
Keep exploring with practical guides, product pages, and proof points for your evaluation process.
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Track changes with audit detail
Map agent and human edits with cell-level attribution.
View track changes -
How Rockhopper compares
Evaluate finance-focused controls against alternative workflows.
See comparison pages
AI agent's best friend
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Ready to let agents in
without losing control?
Rockhopper is the assurance infrastructure your AI-augmented finance team needs before the models get any faster.
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