[{"data":1,"prerenderedAt":706},["ShallowReactive",2],{"site-nav-content":3,"blog:/blog/collaborative-ai-for-legal-and-compliance-review":178,"blog-index-copy":433,"blog:/blog/collaborative-ai-for-legal-and-compliance-review:surround":454,"hiring-banner-content":675,"site-cta-content":687},{"header":4,"productNav":9,"nav":42,"footer":61,"askAI":131,"id":162,"title":163,"archived":164,"authors":165,"badge":165,"body":166,"date":165,"definedTerm":165,"department":165,"description":170,"extension":173,"eyebrow":165,"faqHeader":165,"faqs":165,"footerBand":165,"headline":165,"image":165,"industry":165,"jobType":165,"listed":130,"location":165,"navigation":130,"openRoles":165,"pageLayout":165,"path":174,"relatedHeading":165,"seo":175,"series":165,"sitemap":164,"status":165,"stem":176,"subhead":165,"tags":165,"video":165,"whyJoin":165,"workplaceType":165,"__hash__":177},{"productLabel":5,"loginLabel":6,"contactLabel":7,"contactSalesLabel":8},"Product","Log in","Contact","Get started for free",[10,14,18,22,26,30,34,38],{"label":11,"to":12,"description":13},"Overview","/overview","Seven layers. One closed loop.",{"label":15,"to":16,"description":17},"Conflux","/product/conflux","Where your team, workstreams, and agents meet.",{"label":19,"to":20,"description":21},"Agent Teams","/product/agent-teams","Specialist teams - governed from day one.",{"label":23,"to":24,"description":25},"Lifecycle Graph","/product/lifecycle-graph","Intelligence that compounds across every interaction.",{"label":27,"to":28,"description":29},"Company Wiki","/product/wiki","Playbooks and policies where expertise stays.",{"label":31,"to":32,"description":33},"Workstreams","/product/workstreams","From brief to signed-off deliverable on one canvas.",{"label":35,"to":36,"description":37},"Perception Console","/product/perception","Ask your whole business in plain English.",{"label":39,"to":40,"description":41},"Governance","/product/governance","Frontier AI you can actually sign off on.",[43,46,49,52,55,58],{"label":44,"to":45},"Models","/models",{"label":47,"to":48},"Pricing","/pricing",{"label":50,"to":51},"Integrations","/integrations",{"label":53,"to":54},"Security","/security",{"label":56,"to":57},"Partners","/partners",{"label":59,"to":60},"Insights","/blog",{"productHeading":5,"companyHeading":62,"legalHeading":63,"docsLabel":64,"docsUrl":65,"statementLines":66,"copyright":69,"companyLinks":70,"legalLinks":100,"socialLinks":110,"bottomLinks":120},"Company","Legal","Docs","https://docs.gonimbus.ai",[67,68],"Stop training someone else's model.","Control your AI.","© 2026 Nimbus Intelligence, Inc. All rights reserved.",[71,72,73,74,75,78,81,84,87,90,92,95,98],{"label":47,"to":48},{"label":50,"to":51},{"label":53,"to":54},{"label":59,"to":60},{"label":76,"to":77},"Glossary","/glossary",{"label":79,"to":80},"Compare","/compare",{"label":82,"to":83},"Evaluate","/evaluate",{"label":85,"to":86},"Problems","/problems",{"label":88,"to":89},"Use cases","/use-cases",{"label":91,"to":57},"Partner Program",{"label":93,"to":94},"Careers","/careers",{"label":96,"to":97},"System status","/status",{"label":7,"to":99},"/contact",[101,104,107],{"label":102,"to":103},"Terms of Service","/terms",{"label":105,"to":106},"Privacy Policy","/privacy",{"label":108,"to":109},"Compliance","/compliance",[111,114,117],{"label":112,"href":113},"LinkedIn","https://www.linkedin.com/company/gonimbusai/",{"label":115,"href":116},"X","https://x.com/gonimbusai",{"label":118,"href":119},"Instagram","https://www.instagram.com/gonimbus_ai/",[121,123,125,126,127],{"label":122,"to":103},"Terms",{"label":124,"to":106},"Privacy",{"label":108,"to":109},{"label":96,"to":97},{"label":128,"to":129,"external":130},"LLMs.txt","/llms.txt",true,{"text":132,"prompt":133},"Ask AI about Nimbus",{"I'm researching enterprise intelligence platforms and want to know how Nimbus combines perception, collaboration, and autonomous agents to drive strategic decision-making":134,"platforms":136},{" Summarize the highlights from Nimbus's website":135},"https://gonimbus.ai",[137,142,147,152,157],{"name":138,"label":139,"icon":140,"hrefPrefix":141},"chatgpt","ChatGPT","simple-icons:openai","https://chatgpt.com/?prompt=",{"name":143,"label":144,"icon":145,"hrefPrefix":146},"perplexity","Perplexity","mdi:magnify","https://www.perplexity.ai/search/new?q=",{"name":148,"label":149,"icon":150,"hrefPrefix":151},"grok","Grok","simple-icons:x","https://x.com/i/grok?text=",{"name":153,"label":154,"icon":155,"hrefPrefix":156},"claude","Claude","simple-icons:anthropic","https://claude.ai/new?q=",{"name":158,"label":159,"icon":160,"hrefPrefix":161},"google-ai","Google AI","simple-icons:google","https://www.google.com/search?udm=50&aep=11&q=","content/shared/nav.md","Site navigation",false,null,{"type":167,"value":168,"toc":169},"minimark",[],{"title":170,"searchDepth":171,"depth":171,"links":172},"",2,[],"md","/shared/nav",{"title":163,"description":170},"shared/nav","rDEv5cVG6P2l9ATcdQv2n6VOQiSL5ioOutyfvGevcD0",{"id":179,"title":180,"archived":164,"authors":181,"badge":184,"body":186,"date":408,"definedTerm":165,"department":165,"description":409,"extension":173,"eyebrow":165,"faqHeader":410,"faqs":413,"footerBand":165,"headline":165,"image":165,"industry":165,"jobType":165,"listed":164,"location":165,"navigation":130,"openRoles":165,"pageLayout":165,"path":423,"relatedHeading":165,"seo":424,"series":425,"sitemap":130,"status":165,"stem":426,"subhead":165,"tags":427,"video":165,"whyJoin":165,"workplaceType":165,"__hash__":432},"content/blog/collaborative-ai-for-legal-and-compliance-review.md","What is collaborative AI for legal and compliance review?",[182],{"name":183,"to":135},"Nimbus Research",{"label":185},"Use case",{"type":167,"value":187,"toc":401},[188,192,195,217,221,224,243,252,255,262,266,269,272,287,290,294,297,300,318,321,329,337,346,350,353,356,359,362,370,374,377,380,391,398],[189,190,191],"p",{},"Collaborative AI for legal and compliance review is a shared artefact: the clause as written, the playbook version, a named lawyer who can refuse, and a log that would still make sense if someone asked how that language left the company. It is not a copilot that paraphrases a contract in a private window. The model may propose a rewrite next to the quote. A person compares quote to rewrite.",[189,193,194],{},"You should care if sales already pastes “legal is comfortable” into a thread, or if a website bot can state terms. This is a how-to for one clause type. A private drafting aid for a lawyer who still works alone can be useful. It is not shared review.",[189,196,197,198,202,203,207,208,212,213,216],{},"The ",[199,200,88],"a",{"href":201},"/use-cases/"," hub is the series. ",[199,204,206],{"href":205},"what-auditors-are-asking-for","What auditors are asking for"," is the evidence cut. ",[199,209,211],{"href":210},"what-is-write-back-governance","What write-back governance is"," is the rule that a model may not change a live system, or send a binding message, until a person has signed the exact change. ",[199,214,215],{"href":40},"Product governance"," is where that rule has to live as behaviour.",[218,219,180],"h2",{"id":220},"what-is-collaborative-ai-for-legal-and-compliance-review",[189,222,223],{},"At minimum the shared job holds:",[225,226,227,231,234,237,240],"ul",{},[228,229,230],"li",{},"The language under review as the words that will be signed or sent — quoted, not only summarised.",[228,232,233],{},"The playbook, grid, or clause list that applied, with a version or a date.",[228,235,236],{},"A named lawyer or named delegate who can refuse the send.",[228,238,239],{},"A stored refusal so the next draft cannot pretend the first one was approved.",[228,241,242],{},"A log a later reader can open without the people who were there.",[189,244,197,245,251],{},[199,246,250],{"href":247,"rel":248},"https://eur-lex.europa.eu/eli/reg/2024/1689/oj",[249],"nofollow","EU Artificial Intelligence Act"," (Regulation (EU) 2024/1689, 2024) is the Union text on placing AI systems on the market and putting them into service. It is not a clause-review playbook. It is a reminder that generated systems used in the Union carry duties that chat etiquette does not satisfy. You do not need to map every article to need a reconstructable log.",[189,253,254],{},"Write-back here includes customer messages and contract files, not only CRM fields. When AI changes a live system, or when it sends language that binds, the lawyer’s stop has to be in the path. Fail-closed means if nobody approves, nothing happens. The payload is the exact text, not “we tightened it.”",[189,256,257,261],{},[199,258,260],{"href":259},"collaborative-ai-for-finance-and-planning","Collaborative AI for finance and planning"," is the sibling gate: the journal that must not auto-post is the same idea as the clause that must not auto-send.",[218,263,265],{"id":264},"why-should-legal-care","Why should legal care?",[189,267,268],{},"Because fluency is not review, and late addition is the usual pattern.",[189,270,271],{},"Legal is often asked to “sanity-check this email” after the commercial conversation has already happened. If the email went out, it is already a write to the relationship. Multiplayer work puts legal on the job before the send is possible.",[189,273,274,275,280,281,286],{},"In February 2024 the Civil Resolution Tribunal of British Columbia held Air Canada to a bereavement fare its chatbot had invented — ",[199,276,279],{"href":277,"rel":278},"https://decisions.civilresolutionbc.ca/crt/crtd/en/525448/1/document.do",[249],"Moffatt v. Air Canada",". No CRM write was required. The message was the write. In June 2023 lawyers were sanctioned for filing ChatGPT-invented cases — ",[199,282,285],{"href":283,"rel":284},"https://www.reuters.com/legal/new-york-lawyers-sanctioned-using-fake-chatgpt-cases-legal-brief-2023-06-22/",[249],"Mata v. Avianca",", as reported by Reuters. Both are sequence-and-custody stories as much as model-quality stories.",[189,288,289],{},"A perfectly accurate discount sent without finance is still an incident. A well-drafted clause legal never saw still binds the company. Accuracy is about whether a sentence is true. The roster is about whether anyone with a duty to refuse it had the chance.",[218,291,293],{"id":292},"how-do-you-keep-review-shared-without-putting-everything-in-a-chatbot","How do you keep review shared without putting everything in a chatbot?",[189,295,296],{},"Keep the matter on the job. Keep the bot from being the vault.",[189,298,299],{},"Practical rules:",[301,302,303,306,309,312,315],"ol",{},[228,304,305],{},"Attach the source PDF. Do not trust a retrieval snippet as the clause — snippets miss the proviso on the next page.",[228,307,308],{},"Diff the proposal against the quote. If the product only stores “legal OK,” you have neither review nor a record.",[228,310,311],{},"Name the playbook version. “Follow the playbook” with a folder of PDFs is an instruction to guess.",[228,313,314],{},"Confirm retrieval cannot prefer an obsolete PDF because it ranked well.",[228,316,317],{},"List the channels this job can emit on. Each has a signer class, or it is disabled. Draft-only is the default.",[189,319,320],{},"If you have no official playbook, stop asking the model to “sound like legal.” You are generating tone. Write the fallback you actually use, date it, and put that dated artefact on the job before the next draft.",[189,322,323,324,328],{},"A ",[199,325,327],{"href":326},"collaborative-ai-and-personal-assistants","personal assistant"," can still help a lawyer rephrase in private. The shared job starts when sales, operations, or compliance must stand on the same words. Do not put the whole contract corpus into a chatbot “so everyone can ask.” That is reach without a matter.",[189,330,331,332,336],{},"The harness — the tools, stops, and checks around the model — includes which playbook version the model may retrieve. ",[199,333,335],{"href":334},"what-is-harness-engineering","Harness engineering"," is the guide to that environment.",[189,338,339,340,345],{},"NIST’s ",[199,341,344],{"href":342,"rel":343},"https://www.nist.gov/itl/ai-risk-management-framework",[249],"AI Risk Management Framework"," (2023) is a voluntary map for governing AI systems. It does not replace a named rejector on Tuesday’s concession. It is a useful reminder that the system, not only the paragraph, is what you manage.",[218,347,349],{"id":348},"what-does-a-shared-review-job-look-like","What does a shared review job look like?",[189,351,352],{},"A concession matter might hold: the quoted clause, the playbook version dated this quarter, finance’s commercial exception still visible, a lawyer named as rejector, a draft customer message that cannot send while a reject is in force, and a guest seat for outside counsel who cannot turn on a CRM write.",[189,354,355],{},"Sales can propose. Sales cannot emoji-approve as “legal.” A Slack group is an audience. If any member of a large channel can approve, you have named whoever was online.",[189,357,358],{},"Internal messages that commit a BU — “your new discount is approved” — are writes too when they would be quoted later.",[189,360,361],{},"The log a regulator or general counsel needs is not a token trace of agent steps. Engineers need traces. The company needs who proposed, what the quoted clause was, which playbook version, who signed or rejected, when, and whether the send landed. Retention on that log should match how long you must explain the language, not how long the chat tool keeps messages.",[189,363,364,365,369],{},"RBAC — who is allowed to do what — is how outside counsel sees the matter and not every connector. See ",[199,366,368],{"href":367},"rbac-for-enterprise-ai","RBAC for enterprise AI",".",[218,371,373],{"id":372},"how-do-you-start-with-one-clause-type","How do you start with one clause type?",[189,375,376],{},"Pick one type that will leave the company this month: limitation of liability fallback, data-processing sentence, discount that changes terms, website bot copy that states a fare-like rule.",[189,378,379],{},"On that matter:",[301,381,382,385,388],{},[228,383,384],{},"Print five checks: quoted text, version, named rejector, send gate, reconstructable log.",[228,386,387],{},"Mark pass or fail with a date. Fix the first fail you cannot live with before you add a second matter.",[228,389,390],{},"Run the checks once with sales, legal, and compliance in the same sitting if they would mark differently. The disagreement is information.",[189,392,393,394,397],{},"Do not roll out “legal AI” as a seat count. A seat is a private window. Nimbus ",[199,395,396],{"href":32},"workstreams"," hold the matter next to the roster. You can start with a matter folder and a written send stop if that is what you have.",[189,399,400],{},"If you cannot pass the checks, the model is a drafting aid for a lawyer who still works alone. That can be the right tool for that week. Shared review begins when the quote, the version, and the name sit on one job.",{"title":170,"searchDepth":171,"depth":171,"links":402},[403,404,405,406,407],{"id":220,"depth":171,"text":180},{"id":264,"depth":171,"text":265},{"id":292,"depth":171,"text":293},{"id":348,"depth":171,"text":349},{"id":372,"depth":171,"text":373},"2026-08-25","Collaborative legal review is a quoted clause, a named playbook version, and a lawyer who can refuse — on a shared job, not in a private chatbot. A guide to starting with one clause type.",{"eyebrow":411,"title":412},"Short answers","Quoted clauses and a named refusal",[414,417,420],{"question":415,"answer":416},"Is a chatbot summary the same as legal review?","No. Review needs the clause as quoted, the playbook version, and a named lawyer who can refuse. A paraphrase can drop a defined term. Comfort in chat is not a clause.",{"question":418,"answer":419},"Are customer emails “only messages”?","If a customer could rely on the sentence, treat it as a write. Air Canada was held to a chatbot fare in 2024 with no CRM write required. The message was the write.",{"question":421,"answer":422},"Do we need the EU AI Act to care about a log?","No. The 2024 Act is one reason Union operators will be asked about systems. Reconstruction — who proposed, what was quoted, who signed — is useful even without mapping every article.","/blog/collaborative-ai-for-legal-and-compliance-review",{"title":180,"description":409},"collaborative-ai","blog/collaborative-ai-for-legal-and-compliance-review",[425,428,429,430,431],"legal","compliance","review","write-back","o3oq3MD6N0wckHV0fpm_8x-8lsF9r1r0fbJQKEuSlYA",{"hero":434,"id":436,"title":437,"archived":164,"authors":165,"badge":165,"body":438,"date":165,"definedTerm":165,"department":165,"description":442,"extension":173,"eyebrow":443,"faqHeader":165,"faqs":165,"footerBand":444,"headline":165,"image":165,"industry":165,"jobType":165,"listed":130,"location":165,"navigation":130,"openRoles":165,"pageLayout":165,"path":60,"relatedHeading":450,"seo":451,"series":165,"sitemap":130,"status":165,"stem":452,"subhead":165,"tags":165,"video":165,"whyJoin":165,"workplaceType":165,"__hash__":453},{"filename":435},"u2221455217_Flat_design_of_a_futuristic_minimalist_landscape__5d589295-cdea-4ea9-a262-be766881accf_1.png","content/blog/index.md","Exploring the future of intelligence.",{"type":167,"value":439,"toc":440},[],{"title":170,"searchDepth":171,"depth":171,"links":441},[],"Deep dives into pre-cognitive intelligence, sentient enterprises, and the evolving landscape of AI-driven business transformation.","Latest Research",{"headline":445,"description":446,"primaryLabel":447,"primaryTo":448,"secondaryLabel":449,"secondaryTo":12},"Stay at the frontier.","Subscribe for product updates and new insights.","Subscribe","/newsletter","Explore the platform","More research",{"title":437,"description":442},"blog/index","BFSWGYO9bcTlaulivKYWyg08_DJHsdGg3OC6g_CG1Hw",[455,165],{"id":456,"title":457,"archived":164,"authors":458,"badge":460,"body":461,"date":652,"definedTerm":165,"department":165,"description":653,"extension":173,"eyebrow":165,"faqHeader":654,"faqs":656,"footerBand":165,"headline":165,"image":165,"industry":165,"jobType":165,"listed":164,"location":165,"navigation":130,"openRoles":165,"pageLayout":165,"path":666,"relatedHeading":165,"seo":667,"series":425,"sitemap":130,"status":165,"stem":668,"subhead":165,"tags":669,"video":165,"whyJoin":165,"workplaceType":165,"__hash__":674},"content/blog/collaborative-ai-for-finance-and-planning.md","What is collaborative AI for finance and planning?",[459],{"name":183,"to":135},{"label":185},{"type":167,"value":462,"toc":645},[463,466,469,482,485,488,491,499,502,506,509,512,515,518,526,530,533,536,553,556,559,562,572,576,579,582,585,588,594,599,603,606,609,626,636,642],[189,464,465],{},"Collaborative AI for finance and planning is the roles you already have — controller, FP&A, business partner, and a later audit reader — on one job, with a model that may draft and may not post. The shared object holds the workbook, the actuals, the definition in force, and the signature. A personal assistant that writes a variance note from a downloaded sheet is a different product.",[189,467,468],{},"You should care if a forecast becomes management truth — a freeze, a target, a board number — before anyone treats it like a control. This is a how-to for one planning cycle. Plenty of teams will keep copilots for private analysis and add a shared layer only where two roles must stand on the same pack.",[189,470,197,471,473,474,478,479,481],{},[199,472,88],{"href":201}," definition is ",[199,475,477],{"href":476},"what-is-collaborative-ai","what collaborative AI is",". ",[199,480,206],{"href":205}," is the companion for the signature.",[218,483,457],{"id":484},"what-is-collaborative-ai-for-finance-and-planning",[189,486,487],{},"The controller owns the books: close, recognition, a journal, a mapping that will be used as if it were the chart of accounts. FP&A owns the plan, the forecast, the variance, the driver pack. The business partner sits with the line that will live with the number. Audit asks later whether an independent person can reconstruct what was proposed, signed, and landed.",[189,489,490],{},"Collaborative AI keeps those duties on one job instead of collapsing them into one chat. The AI role is narrow: read this period’s extract; draft a list of exceptions or a commentary that cites the attached sources; do not post.",[189,492,493,498],{},[199,494,497],{"href":495,"rel":496},"https://www.govinfo.gov/content/pkg/PLAW-107publ204/html/PLAW-107publ204.htm",[249],"Sarbanes-Oxley"," (US Congress, 2002) does not mention copilots. It requires issuers to keep internal control over financial reporting: a trail showing how a number became the number. You do not need to be an issuer for the reconstruction test to be a useful test. If you cannot reconstruct, you cannot explain.",[189,500,501],{},"Write-back is when AI changes a live system — including an ERP post. The payload is the exact journal: accounts, amounts, period, text, before and after. Fail-closed means if nobody approves, nothing happens. A prompt that says “don’t post” is not that control.",[218,503,505],{"id":504},"why-should-fpa-or-planning-care","Why should FP&A or planning care?",[189,507,508],{},"Because speed is the usual failure mode, and the plan is watched less than the ledger.",[189,510,511],{},"FP&A gets a good commentary from a personal assistant and pastes it into the board pack. The controller has not seen the drivers. The partner has not seen the commitment implied. Audit later asks how the commentary was produced, and “we asked the model” is not a control.",[189,513,514],{},"A common belief is that the control boundary is the ERP write, so protecting posting protects the function. The plan is often treated as truth long before it becomes an entry. The commentary pasted on Tuesday is what the line is managed against. Protect only the post, and the model’s most consequential output travels with no signature.",[189,516,517],{},"Finance pilots that auto-post are a risky kind of scale. Scale the room first: same files, named signer, stored rejection. Version-chasing a planning pack is the tax. One live tab on the job is an attempt to stop it.",[189,519,520,521,525],{},"When the number has to travel to legal or sales at quarter-end, keep it on the same job rather than forwarding a new export. ",[199,522,524],{"href":523},"collaborative-ai-for-revenue-operations","Collaborative AI for revenue operations"," is the sibling when the artefact is pipeline rather than books.",[218,527,529],{"id":528},"how-do-you-use-ai-on-forecasts-without-losing-the-trail","How do you use AI on forecasts without losing the trail?",[189,531,532],{},"Attach the sources. Cite them. Sign the artefact people will act on.",[189,534,535],{},"A practical loop:",[301,537,538,541,544,547,550],{},[228,539,540],{},"Put the live workbook tab and the actuals extract on the job. Agree which tab is live.",[228,542,543],{},"Lock the definitions the controller already uses — currency, bookings versus pipeline, one-time items.",[228,545,546],{},"Let the model draft a commentary that points at those sources, not at a private rewrite.",[228,548,549],{},"Invite the partner to reject a commitment the line cannot keep, before the pack is locked.",[228,551,552],{},"File the signed pack on the job. A later rewrite is a new version with a new sign.",[189,554,555],{},"Name the journals, or class of journals, the model will never post on its own: revenue recognition, manual accruals above a stated amount, anything that reverses a control account, mappings that change how a BU hits the P&L. The model may draft those as a payload. A named controller or deputy signs.",[189,557,558],{},"If your vendor cannot show a stored rejection of a journal, you have a demo that has not failed yet. A confirmation box the analyst clicks through is not the same as a named signer.",[189,560,561],{},"Planning cubes tempt a softer story: “it is only a forecast journal.” If that cube is used as if it were books, treat it as books. If it is a sandbox, keep it off the ERP write identity.",[189,563,564,565,567,568,571],{},"The harness — the tools, stops, and checks around the model — is how draft-and-sign stays in place when close week gets late. ",[199,566,335],{"href":334}," is the guide to that environment. Keep the ERP from writing until a named controller can refuse; ",[199,569,570],{"href":210},"write-back governance"," is the same checklist on a different object.",[218,573,575],{"id":574},"what-does-a-shared-planning-job-look-like","What does a shared planning job look like?",[189,577,578],{},"Controller, FP&A, partner, and an audit guest on one roster.",[189,580,581],{},"The controller sees the same extract everyone else is using, sees the payload before anything posts, and remains the signer for posting even when FP&A opened the job. Name the person: “Controller’s office” cannot sign, and neither can a shared close mailbox. If a deputy signs on a given night of close, put them on the roster for that night, then remove them.",[189,583,584],{},"FP&A attaches the model, the sheet, and the actuals, and proposes narrative. They do not silently become the ERP writer because they have the friendlier prompt. Guests are common: a BU finance manager, an intern on actuals. If the planning product cannot invite a guest without an ERP token, you have the wrong room.",[189,586,587],{},"The partner sees the drivers, not only the total, and can attach the operational file that is true on the ground. A channel of “GMs” is an audience. The AI must not mail the line “your new target” from a personal assistant; that is a write to a relationship inside the company.",[189,589,590,591,593],{},"Audit opens a completed job and reconstructs identity, content, time, and custody without a tour from the hero who “knows the prompt.” If they need the hero, the control is the hero. ",[199,592,206],{"href":205}," overlaps: identity, content, time, custody.",[189,595,596,597,369],{},"RBAC — who is allowed to do what — keeps the intern from inheriting a post token. See ",[199,598,368],{"href":367},[218,600,602],{"id":601},"how-do-you-start-with-one-planning-cycle","How do you start with one planning cycle?",[189,604,605],{},"Put one close or one forecast cycle on this roster before you connect a second ERP module.",[189,607,608],{},"This cycle:",[301,610,611,614,617,620,623],{},[228,612,613],{},"Name the artefact: the pack, the variance, the journal class that must not auto-post.",[228,615,616],{},"Attach two files the team already emails — workbook and actuals.",[228,618,619],{},"Add the controller or deputy, FP&A, and the partner who will live with the number.",[228,621,622],{},"Keep the ERP read-only until you have a stored rejection: the first no is the control.",[228,624,625],{},"After the cycle, ask an independent reader to reconstruct the signed number without the authors.",[189,627,628,629,631,632,635],{},"Nimbus ",[199,630,396],{"href":32}," and ",[199,633,634],{"href":40},"governance"," are one attempt at draft-and-sign. You can start with a shared folder and a written stop if that is what you have.",[189,637,638,641],{},[199,639,640],{"href":326},"Collaborative AI and personal assistants"," is when a planner’s private scratch model should stay personal. Shared planning begins when two roles must file the same pack.",[189,643,644],{},"The exposure in planning is not only the posting API. It is that a plan becomes management truth with nobody’s name on it, and the model made producing those plans easy. Put the signature on the artefact people act on.",{"title":170,"searchDepth":171,"depth":171,"links":646},[647,648,649,650,651],{"id":484,"depth":171,"text":457},{"id":504,"depth":171,"text":505},{"id":528,"depth":171,"text":529},{"id":574,"depth":171,"text":575},{"id":601,"depth":171,"text":602},"2026-08-24","Collaborative AI for FP&A is controller, planner, and partner on one job — the model drafts, a named person signs, the trail stays. A guide to one planning cycle, not auto-posting.",{"eyebrow":411,"title":655},"Forecasts, signatures, and the trail",[657,660,663],{"question":658,"answer":659},"Can the model post journals if someone clicks confirm?","A confirm box the analyst clicks through is not a named controller signature. Draft the journal as the exact accounts and amounts. If nobody approves, nothing posts.",{"question":661,"answer":662},"Does protecting the ERP protect the plan?","Not always. A forecast can become a hiring freeze or a discount grid weeks before it is a ledger entry. Put a name on the artefact people act on, not only on the post.",{"question":664,"answer":665},"What does Sarbanes-Oxley have to do with copilots?","The 2002 Act does not mention copilots. It asks issuers for a trail of how a number became the number. A fluent variance commentary is not that trail.","/blog/collaborative-ai-for-finance-and-planning",{"title":457,"description":653},"blog/collaborative-ai-for-finance-and-planning",[425,670,671,672,673],"finance","FP&A","planning","audit","gMzb6q5cPfszzFTH7ECLNuT3uOrAXrvFQGczwDS7R28",{"enabled":164,"message":676,"linkLabel":93,"linkHref":94,"id":677,"title":678,"archived":164,"authors":165,"badge":165,"body":679,"date":165,"definedTerm":165,"department":165,"description":170,"extension":173,"eyebrow":165,"faqHeader":165,"faqs":165,"footerBand":165,"headline":165,"image":165,"industry":165,"jobType":165,"listed":130,"location":165,"navigation":130,"openRoles":165,"pageLayout":165,"path":683,"relatedHeading":165,"seo":684,"series":165,"sitemap":164,"status":165,"stem":685,"subhead":165,"tags":165,"video":165,"whyJoin":165,"workplaceType":165,"__hash__":686},"We're hiring! Join the team building the Sentient Enterprise.","content/shared/hiring.md","Hiring banner",{"type":167,"value":680,"toc":681},[],{"title":170,"searchDepth":171,"depth":171,"links":682},[],"/shared/hiring",{"title":678,"description":170},"shared/hiring","1zs3boivKda1e-b-hAyuNcmZSKjZUAXmecnwHVgcHzk",{"fold":688,"id":692,"title":693,"archived":164,"authors":165,"badge":165,"body":694,"date":165,"definedTerm":165,"department":165,"description":170,"extension":173,"eyebrow":165,"faqHeader":165,"faqs":165,"footerBand":698,"headline":165,"image":165,"industry":165,"jobType":165,"listed":130,"location":165,"navigation":130,"openRoles":165,"pageLayout":165,"path":702,"relatedHeading":165,"seo":703,"series":165,"sitemap":164,"status":165,"stem":704,"subhead":165,"tags":165,"video":165,"whyJoin":165,"workplaceType":165,"__hash__":705},{"headline":689,"description":690,"primaryLabel":8,"primaryTo":691,"secondaryLabel":449,"secondaryTo":12},"Run frontier AI your business actually owns.","Governed agent swarms, 2,000+ integrations, and a knowledge graph that stays inside your walls. Free 7-day trial.","/checkout","content/shared/cta.md","Site CTAs",{"type":167,"value":695,"toc":696},[],{"title":170,"searchDepth":171,"depth":171,"links":697},[],{"headline":699,"description":700,"primaryLabel":8,"primaryTo":691,"secondaryLabel":701,"secondaryTo":99},"See what governed AI looks like on your stack.","Connect your tools, run a workstream, and keep every decision on your ledger - free for 7 days.","Talk to our team","/shared/cta",{"title":693,"description":170},"shared/cta","wz4AdRHnaYH021WMdWcHnZvHmkZJNKaNG4XGZfnFBtw",1788985847248]