The problem
Finance teams can move faster with AI in spreadsheets, but the same workflow can expose revenue plans, payroll details, customer financials, and board-level forecasts through prompts, uploads, or generated summaries.
Tutelaby H2HGovern AI-assisted spreadsheet work by inspecting prompts, files, outputs, model routing, and sensitive-data context before finance workflows become shadow AI.
Finance teams can move faster with AI in spreadsheets, but the same workflow can expose revenue plans, payroll details, customer financials, and board-level forecasts through prompts, uploads, or generated summaries.
If security responds by banning AI, the business loses productivity. If the business moves without controls, sensitive financial data can leave the enterprise boundary without a usable audit trail.
This journey shows where useful AI work becomes unmanaged data movement, and how Tutela turns that moment into policy-backed enablement.
A finance analyst wants ChatGPT or an AI assistant to generate formulas, variance analysis, charts, and executive summaries for a quarterly forecast.
Revenue plans, payroll details, M&A forecasts, and customer financials can be pasted into public AI tools before governance sees the movement.
Agentic Security inspects prompts, files, generated outputs, and model-routing decisions while Data Security helps determine whether the spreadsheet contains regulated, payroll, M&A, customer, or confidential revenue data.
Agentic Security governs the AI interaction path; Data Security supplies sensitive-data context so policy decisions are based on what the workbook actually contains.
Finance keeps the productivity gain, but sensitive workbooks are warned, redacted, routed to approved models, or blocked before confidential data leaves the customer-controlled operating model.
Security gets a reviewable record of the prompt, file context, model path, policy action, and resulting exception or approval decision.
Finance, FP&A, security, and data-governance teams enabling spreadsheet AI without exposing confidential planning data.
Tutela should help teams replace generic tooling talk with a clearer understanding of where risk exists, which controls matter, and what is worth evaluating next.
Frame the journey around the analyst's real goal: faster formulas, variance analysis, summaries, and forecast narratives.
Use prompt, file, output, and model-path inspection to keep confidential financial context from moving into unapproved AI systems.
Preserve policy actions, sensitive-data context, and model-routing decisions so finance enablement remains explainable.
The best public solution pages connect the operational problem, the business risk, the product fit, and the next best educational asset without dragging buyers through internal review mechanics.
Tutela Agentic Security helps organizations prevent sensitive data from leaking into AI workflows.
View productTutela Data Security helps organizations find sensitive data, understand who can access it, and eliminate the riskiest exposure paths first.
View productTechnical overview of Agentic Security visibility, inspection, policy action, and auditability across employee AI workflows.
Open the overviewExecutive overview of sensitive-data posture, access context, and the control priorities Data Security helps organizations review.
Open the overview