Maxima

Sheesh! Since announcing Phase 1 of aiSOX last week, the list of Accounting AI Vendors in our directory has almost tripled 😱 If you’re shopping for AI products in Accounting, check out https://aisox.ai/library and upvote vendors you’d like more content around! New updates from Phase 2 of the project: ⚡ Expanded beyond Record-to-Report (RTR)...more cycles coming soon! 🔍 Added filters for easier searches (e.g., by SOX cycle) 👥 “Follow” feature to get updates from specific Accounting AI Vendors 👍 “Upvote” to help guide our content priorities Next: Founder/CEO podcast series kickoff (real product deep-dives, not just “why AI” panels). Also super thrilled to welcome Nabil Hajjar ACA (new aiSOX.ai Contributor) who'll partner with me to complete verification meetings so we can finalize and publish more Vendor/Product/Use Case profiles soon. Huge thanks to the community so for all the support so far on this project...from SOX leaders sharing their strategies/insights with me to fellow founders/CEOs contributing time and content to add to this growing resource. Stay tuned for Phase 3 and until then, please remember to support us by visiting https://aisox.ai/library and upvoting 💪

Great read from Mark Maurer at The Wall Street Journal on how AI is helping companies in their Record-to-Report operations. AI is helping CFO departments with both number compilation (journals, accruals) and financial report writing (10Ks, 10Qs). Market leading companies such as onsemi and Hewlett Packard Enterprise are seeing real impact on accuracy and efficiency. For these companies: - AI assistance has reduced the time between book close to reporting from 10 to 8 days with plans to go to 6 days next year - AI is doing the work much more efficiently across the entire financial reporting cycle than what they’ve done in the past This matches my experience talking to leading CFOs, CAOs, Controllers every day at Maxima: 1. leading companies are leaning into AI, not getting scared away. Per this WSJ article, 16% of finance execs are using AI a lot in their record-to-report operations and other 28% using AI somewhat 2. AI is getting better and better. We see this every day. AI is able to write complex variance analysis, propose accurate journal entry with full proof of work, perform reconciliation at millions of transaction scale 3. Agent prepared, human reviewed is the way forward. Deterministic work, need deterministic operators. Probabilistic work need human reviewers. AI amplifies the humans by doing the mundane, low judgement work https://lnkd.in/gUch6RCB

AI is reshaping every function of the enterprise, and accounting is no exception. Honored to see Maxima featured at the NYSE as part of Redpoint’s AI64, alongside a standout group of companies proving that applied AI is driving real transformation, not just hype.

We’re grateful to partners like Jack Chalfant and the SpotOn team for their continued trust and collaboration. Your feedback has been instrumental in shaping Maxima’s progress over the past year 👏

We’re proud to share that Maxima has been named to Redpoint’s inaugural AI64 as a top AI company 🏆 🚀 The AI64 list celebrates the builders defining how AI is applied across industries and we are proud to be recognized alongside companies such as Glean, Replit, Cursor, Harvey, Abridge, all pushing the boundaries of what is possible in enterprise AI. Check the link in the comments to view the full AI64 report

Thank you Bipul Sinha and Rubrik for the shoutout and mentorship.

Happy first anniversary to Maxima, and a toast to many more!