A finance AI pilot should be narrow enough to review properly: one workflow, one source pack, one owner and a clear keep/change/kill decision.
ChatGPTMicrosoft 365
29 field notesSorted newest first.30-day finance AI pilotAdmin controls for finance AI
AI field notes for engineering teams
Practical notes on Codex, Claude Code, MCP, evals and rollout discipline in real codebases.
29 field notes · sorted newest first
Admin controls decide whether finance AI is a workflow or a data leak: access, retention, source folders, reviewers and escalation.
Microsoft 365Copilot
Finance AI only holds up when the team can show what source was used, what AI drafted, who reviewed it and what changed.
Microsoft 365ChatGPT
A finance AI policy should be plain: what sources are approved, what data is blocked, who reviews output and what cannot be automated.
ChatGPTCopilot
AI variance commentary approval
Variance commentary is a good AI use case only when the model drafts from approved numbers and a finance owner signs off interpretation.
Microsoft 365Copilot
AI can draft board-pack commentary from approved figures, but leadership must own interpretation, recommendations and final wording.
Microsoft 365Copilot
Cash-flow forecast AI assumptions
AI can make forecast assumptions visible, but it cannot decide what the business should do with cash.
ChatGPTClaude
ChatGPT Finances business risk
ChatGPT Finances shows where connected finance data is going, but the useful SME lesson is control: no autonomous actions, no advice claims and clear review.
ChatGPTOpenAI
ChatGPT for Excel in SME finance
Spreadsheet AI is useful when it explains, updates and checks models. It becomes risky when teams treat the draft as approved finance work.
ChatGPTOpenAI
ChatGPT vs Claude vs Copilot finance
The best finance AI tool depends on the workflow: spreadsheet review, workbook citations, Microsoft 365 context or ERP-backed reconciliation.
ChatGPTClaudeCopilot
Claude for Excel is useful for workbook questions and model debugging, but the control is the review gate around sensitive and judgement-heavy work.
ClaudeAnthropic
Customer collections AI outlook
Collections AI should prepare context and draft wording. It should not make settlement decisions, legal claims or customer promises.
Microsoft 365Copilot
Expense and subscription review AI
AI can surface recurring spend and duplicate subscriptions. Owners still approve cancellations, renewals and staff expense decisions.
ChatGPTGemini
Finance AI rollout with M365 guardrails
Finance AI rollout depends on Microsoft 365 basics: source folders, identity, device trust, approved tools and reviewer evidence.
Microsoft 365Copilot
Finance connectors for AI workflows
Finance AI gets useful when it sees the right sources. It gets dangerous when access is broad, stale or not understood.
Microsoft 365Gemini
Gemini Sheets for SME dashboards
Gemini in Sheets can help build and edit spreadsheets, but the useful SME pattern is draft, review, approve and record the assumptions.
GeminiGoogle Sheets
Invoice exception review with AI
Invoice AI works best as an exception finder: it checks policy, suppliers and purchase orders, then leaves payment decisions to finance.
Microsoft 365ChatGPT
Microsoft Finance Agent reconciliation
Microsoft Finance Agent can help with reconciliation work in Excel and context in Outlook. The SME control is simple: AI prepares, finance approves.
Microsoft 365Copilot
AI can help month-end close by finding gaps and questions. It should not post journals, sign off reports or hide missing evidence.
ChatGPTMicrosoft 365
The right review question is not whether the AI sounds confident. It is whether the source, assumption, owner and next action are clear.
ChatGPTClaude
Spreadsheet prompt injection risk
AI spreadsheet review can read instructions hidden in cells or notes. Treat untrusted workbooks as inputs that need boundaries.
ClaudeChatGPT
Spreadsheet to board note workflow
AI can turn a spreadsheet into a board-note draft, but the route needs source labels, assumption checks and a human owner.
ClaudeChatGPT
Supplier risk and KYC AI review
Supplier-risk AI is useful when it turns messy records into questions for owners. It is not a substitute for finance, legal or security review.
ClaudeMicrosoft 365
What not to put into finance AI
The safest finance AI rollout starts by naming what stays out: bank data, tax records, payroll, contracts and anything not needed for the task.
ChatGPTClaude
Eval suites for codebase-specific agent use
Most AI rollouts skip evals because they feel like overhead. A small, codebase-specific eval suite, built in an afternoon, is the cheapest way to keep model and prompt changes from becoming a vibes call.
CodexClaude CodeOpenAI
Copilot rollout exclusion list
Most Copilot rollouts skip the content exclusion work because it feels boring. The teams that skip it discover the problem the first time something sensitive ends up in a suggestion.
GitHub CopilotMicrosoft Purview DLP
Building an MCP server is mostly an API design problem with one extra constraint: the caller is a model, not a person. Naming and arguments matter more than transport.
MCPAnthropicClaude Code
Claude Code hooks that actually save time
Claude Code hooks are easy to over-engineer. The right four save real time and prevent the failure modes you actually hit in week one.
Claude CodeAnthropic
Codex is a repo-aware coding agent. Used carelessly it generates churn the team has to clean up. Used with scope and a real review gate, it ships work.
CodexOpenAI