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This creates a closed-loop platform where agents do the matching, create tasks for exceptions, and post resolutions back to the GL.",[554],{"_key":548,"_type":442,"linkPageModule":6,"newTab":12,"page":6,"type":14,"url":555},"https:\u002F\u002Fnominal.so\u002F",{"_key":557,"_type":422,"children":558,"markDefs":562,"style":563},"a10b40417b74",[559],{"_type":425,"marks":560,"text":561},[],"How It Works: Matching, Resolution, and Posting",[],"h4",{"_key":565,"_type":566,"data":567,"image":575,"markDefs":6,"type":576},"beb2e124d517","media",{"altText":6,"asset":568,"bgColor":570,"caption":6,"dimensions":571,"lqip":573,"originalFilename":574},{"_ref":569,"_type":40},"image-bc8518dc996352655ebbe9781cf8e32d90023464-1350x1350-png","#fceca4",{"_type":43,"aspectRatio":44,"height":572,"width":572},1350,"data:image\u002Fpng;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAACXBIWXMAAAsTAAALEwEAmpwYAAADvUlEQVR4nHWUa28TRxSG\u002Ff9VVUJtoZCql5S09AJIaUCpaGkJhAC5OSGQOLUd24ntvczu7MxeZ9bSU+1sgLQSH965vNJ5RjPnzOmY8Ac+pipYIfe+R0+XnXLvtvOt+PGjMZ2rm9JfIZt9AMjzb5n1btHf\u002F5z+\u002FmfMTpdQF8sfDpjfdod+FKin3zHr3eTs8AtGr6+7ubd7jaOtTznc\u002FISTnWuMj24wfnODyZvrBP0l8vny\u002F4ErVM1G3CGdr+D1v2b85haTt41uMjq6yej1lwwPb7j1tLfEtPcV05MlguE35F4D+gkTNs+wQsdE9ymjNcp4nSp+SCEekPq\u002Fof1VtJvXSP21du2tkvqrpMEaafiQInroYsroAWW0SsPq2HQHHb1Chc+p1FOMekIe\u002FYUON1DhC9JoC9P4yRPS8HHri5dk8gVGP6WSf6ODP0nFU2y6Tcdm+6jogDjYp1B7mHSXXG6jox3isIsMuxRJ4zWHvkCJHRJxiIoPKFTrS38LHb3Epnt0TLxGGr1ChH0SOaEqfWrjUeV9dHxMGPQJwwFxfEamJ5TpKUqeIMQAEQ4RYkgc9R24YXWq8Ge0eM58PsDzp+hMYqzGlhO0PGE2H3I+GxGIGVkuMMUIGZ0wnQ2YXJwx886RyQWl2sGIX+g0gxZbeP6QuX9OJH0XWBUjB\u002FT8M+eL2CPLQ0w5Qif\u002FEIQT5wdihtZzKr2LEb+2wCLZRukZKo3I8oSySjDlhEz3ieWURIVkRYIxkrqaUBUTijJ2Xl4qqkrQ5KIFxmtuY6s51sYYE2MqH1v0qNIjcn1GkXvOt8ajLo6xxTFVft6+dx2zqH3qvIuJH9Cx8hF1tk1d9rDlgFz3yeRrjHpOlTxBh8\u002FQ0QFFOqRMj7B6kzLZQAXP0PE+tjilrk4do2F1jLiHlevUagOrt8hkFxUdkSUH5ElTUrukcZdcHZOqYwp1QK66pPEeefwKozap9QZW\u002Fk7Dcl\u002FPhHdchky0Shpvu3IIwjGhmJAk55RZn0ydIqIRQkzQak5Veti0ueZqG+u+3\u002Fvm0EBXqMRdV6C+P2Q6n+AFU2TiUeZnaNnD80fM\u002FQsSJdoE5QeY6O5l\u002FJXm8F7iLrncIZFTYhm4rDfZNOX4MuMzYhmS5RJr3wHvXQE2zcF1ibZh2ui+u4atIoxNsXXOYqFcqdhy3FaA8zMWi4Q6P3QNoYW1nI5Vj\u002FmgDZf+RTlgUY0uNaAuj6nLE7e+6tu862KuMjoLO6XVjNqMsdkeNnmETdYv9Qibbrb6j\u002F8HdbbLwoxd7DvOv8Q9tClosiJyAAAAAElFTkSuQmCC","69b17f9d99afe24a6ebfa913_matching-agent.png",{"_type":576,"asset":577},"image",{"_ref":569,"_type":40},{"_key":579,"_type":422,"children":580,"markDefs":584,"style":429},"cd4ae2138906",[581],{"_type":425,"marks":582,"text":583},[],"The matching agent workflow replicates how finance teams think about reconciliation while executing at machine speed.",[],{"_key":586,"_type":422,"children":587,"markDefs":597,"style":429},"5da980b618e3",[588,591,595],{"_type":425,"marks":589,"text":590},[],"The agent ingests transactional data from multiple sources, including general ledgers, bank feeds, subledgers, and intercompany records. Nominal standardizes this data automatically, normalizing chart of accounts and applying ",{"_type":425,"marks":592,"text":594},[593],"06b77ff0-a6fa-4120-a098-be37a5d4e350","currency conversions",{"_type":425,"marks":596,"text":463},[],[598],{"_key":593,"_type":442,"linkPageModule":6,"newTab":12,"page":6,"type":14,"url":599},"http:\u002F\u002Fwww.nominal.so\u002Fblog\u002Fcurrency-consolidation",{"_key":601,"_type":422,"children":602,"markDefs":606,"style":429},"ce6b8d42376e",[603],{"_type":425,"marks":604,"text":605},[],"Next, the agent applies matching logic configured in natural language. Teams define matching groups and instructions. For example, an intercompany agent might match transactions where the customer dimension from one entity appears in the memo field of another, allowing for timing differences within five days.",[],{"_key":608,"_type":566,"data":609,"image":619,"markDefs":6,"type":576},"2bc07f46fc44",{"altText":6,"asset":610,"bgColor":612,"caption":6,"dimensions":613,"lqip":617,"originalFilename":618},{"_ref":611,"_type":40},"image-12a6e806ae7bbae8d19a442b0070ce961fddcf8c-1352x1284-png","#abadce",{"_type":43,"aspectRatio":614,"height":615,"width":616},1.0529595015576323,1284,1352,"data:image\u002Fpng;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAATCAYAAACQjC21AAAACXBIWXMAAAsTAAALEwEAmpwYAAACWUlEQVR4nI2US24dNxBF3\u002F6XkiBZRWTDk5bRWYLskQH1h2T9i9cg+ymxJ9IbXLDZJE99WMVbofibWL+0ZutZea1N1lplbU1WZl\u002FN412RxHrUXH9s8eW12F83kvysFt\u002FNc1eNwywOvcs8p36de\u002Fwu87GWu2h+Y8mnW+NcLbCbI8XQ1bKzeGf1+S0avbF1Yu+i2c3xn\u002FS+3zzTPXeW\u002FHprFP8OywPGBrAkGhmIFSzXOCTqME94dHgA5h1iHaxjnIZ2EvwPHNZkALWD2cCsaI1RSpujqsE8ENmRiQl+DCjDwwET1MZTRAIRg6rDIyd0eCvD+EdAksRZBWfhCWZxiAV0yBM2Q+7QGTLeB7ICjRP7Idh2Qmk65yR9GmJNqL3Bhnd4BNixnY7XnXFWm8BKHaWNVMSEvuXuQ6DMkDuO6jiKoja\u002Fe9fvnsaE6cNAHYcDZeZQcJ6Ks\u002Fq8KLMO9yt\u002FD+dQhkVJEBlqU+yH4nUfN+4wy9+AVx3i4xyODcQxi3uEXKqjNEcjv\u002FI3Q70u6KEcsiRKVRwnodSrdOqsyauEhmgWvl9we6QOC2M\u002F6r1LaHYKs8xukbtGXb7bKXKF3BtH30\u002Fq21Z6qdSZZUpEu6jNUdW6WgwHOsl4QN6A+fVGnKsHdr1em2SJPAvncdRsjVPV02woUi1S1JPFUzTzOpOplunRN7Z8vonkJw+8mPdtSC22RrqVSlsj2URtM\u002FPNPDbznOsksYnm3D\u002F+3fXCmv\u002FcSo0\u002Fm\u002FSnxvlMkktjX46Tl9e9LPtRluMsSym0MMsi4gv\u002FKs6FeJzJ5yb5dNT44yeJ2b3CTLOXAwAAAABJRU5ErkJggg==","69308a36275c822c969ede85_Agent%20AR%20__%20AP_Settings.png",{"_type":576,"asset":620},{"_ref":611,"_type":40},{"_key":622,"_type":422,"children":623,"markDefs":627,"style":429},"1352e9db6413",[624],{"_type":425,"marks":625,"text":626},[],"The agent categorizes results by confidence level. Strong matches are automatically placed in the matched queue.",[],{"_key":629,"_type":566,"data":630,"image":640,"markDefs":6,"type":576},"6d1a1f2181db",{"altText":6,"asset":631,"bgColor":633,"caption":6,"dimensions":634,"lqip":638,"originalFilename":639},{"_ref":632,"_type":40},"image-f9011738a297ac9b6ffce1b45dc8d4ecccf7e1f2-1600x900-png","#adb9d7",{"_type":43,"aspectRatio":635,"height":636,"width":637},1.7777777777777777,900,1600,"data:image\u002Fpng;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAALCAYAAAB\u002FCa1DAAAACXBIWXMAAAsTAAALEwEAmpwYAAABZUlEQVR4nK3SyZKkMAxFUf7\u002FI3vRY2WRTB4l2eZWiKSi1z0sXoiA4FgSTD\u002FfMssmxNyIWThCJoRCiEbKjZS9Krk0cjFCUkJUSm2YDcaAc3DV1gbTY66smxCSkZJdaEpKTH5AI5V2XefSqeL1PqQ0inTEBtZO2p1pXirPVdjD66VSjOzonT0o89oIsSFiiDSqdGLuHNVIZmhz9AVPj7nwNheeu5IuUIgxv5Iy81r59qux7katiuoLPaKxJGGvirRB6ye9O\u002FisvC+V9fjs0MFECOlC50X4eoNSBRWHjRAL25E5oiA6Lsz3OD03ZdmNIw5yHRQfI1dSqtfo22E8ls5xj6zqtZFzJceM5Ipav\u002FbXO0yOeXcv8KTKSdVBlXFVv5fKSZETsd\u002FxZw6rdtRO1KA5uB6dLXT22EkOKoj9Xdon6NlDvzr5Z\u002FCxCO+rj92J\u002FwP88iPw\u002FVF4bv4xBqK+jz\u002FLtU\u002F1Xwc+AGTzWX7Mpid1AAAAAElFTkSuQmCC","69308b45532de6efb577d3e2_Matching%20_%20Matched.png",{"_type":576,"asset":641},{"_ref":632,"_type":40},{"_key":643,"_type":422,"children":644,"markDefs":648,"style":429},"1bfceebc9391",[645],{"_type":425,"marks":646,"text":647},[],"Possible matches are flagged for review. 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Once matched and signed off, the elimination agent automatically posts the consolidation entry. This multi-agent collaboration creates an end-to-end workflow.",[],{"_key":675,"_type":422,"children":676,"markDefs":680,"style":429},"a597d118b6d1",[677],{"_type":425,"marks":678,"text":679},[],"The entire process is auditable with every match, exception, and resolution logged.",[],{"_key":682,"_type":422,"children":683,"markDefs":691,"style":429},"ef85f36355e0",[684,687],{"_type":425,"marks":685,"text":686},[],"Related post: ",{"_type":425,"marks":688,"text":690},[689],"32fc8d73-b72e-4298-8f99-fa2617f2837d","Transaction Matching: How Modern Finance Teams Automate Accuracy",[692],{"_key":689,"_type":442,"linkPageModule":6,"newTab":12,"page":6,"type":14,"url":693},"http:\u002F\u002Fwww.nominal.so\u002Fblog\u002Ftransaction-matching",{"_key":695,"_type":422,"children":696,"markDefs":700,"style":563},"7dc9bbfaf61c",[697],{"_type":425,"marks":698,"text":699},[],"Difference From RPA and AI Assistants",[],{"_key":702,"_type":422,"children":703,"markDefs":707,"style":429},"22cdc05138bf",[704],{"_type":425,"marks":705,"text":706},[],"Matching agents are often confused with robotic process automation or AI assistants. The distinctions determine what finance teams can actually automate.",[],{"_key":709,"_type":422,"children":710,"markDefs":714,"style":429},"da248c0378e7",[711],{"_type":425,"marks":712,"text":713},[],"RPA tools rely on screen scraping and brittle workflows",[],{"_key":716,"_type":422,"children":717,"markDefs":721,"style":429},"8508e0548e98",[718],{"_type":425,"marks":719,"text":720},[],"They work until something changes. A software update can break the entire automation. RPA cannot handle variability.",[],{"_key":723,"_type":422,"children":724,"markDefs":728,"style":429},"4ba3cf3c09e0",[725],{"_type":425,"marks":726,"text":727},[],"AI assistants provide suggestions but do not execute",[],{"_key":730,"_type":422,"children":731,"markDefs":735,"style":429},"98ad8a2dbd05",[732],{"_type":425,"marks":733,"text":734},[],"They augment human work but do not replace it. A finance professional still needs to review and take action.",[],{"_key":737,"_type":422,"children":738,"markDefs":742,"style":429},"bd0e1aa656a6",[739],{"_type":425,"marks":740,"text":741},[],"Matching agents autonomously execute reconciliation workflows",[],{"_key":744,"_type":422,"children":745,"markDefs":749,"style":429},"c76c404c61c8",[746],{"_type":425,"marks":747,"text":748},[],"They process transactions, make decisions based on learned business logic, and post resolutions directly to the general ledger.",[],{"_key":751,"_type":422,"children":752,"markDefs":760,"style":429},"9e4f60310bb7",[753,756],{"_type":425,"marks":754,"text":755},[],"Recommended read: ",{"_type":425,"marks":757,"text":759},[758],"c3d63531-9ae9-4711-9c2b-5130c04e6e7d","AI Agents vs. RPA vs. API: Which One Actually Solves Your Accounting Bottlenecks?",[761],{"_key":758,"_type":442,"linkPageModule":6,"newTab":12,"page":6,"type":14,"url":762},"https:\u002F\u002Fwww.nominal.so\u002Fblog\u002Fai-agents-rpa-api",{"_key":764,"_type":422,"children":765,"markDefs":769,"style":474},"aeae6e07dbbd",[766],{"_type":425,"marks":767,"text":768},[],"Use Cases: Transaction-Level Matching at Scale",[],{"_key":771,"_type":422,"children":772,"markDefs":776,"style":429},"741286e5b871",[773],{"_type":425,"marks":774,"text":775},[],"Matching agents apply across reconciliation scenarios where high volumes, fragmented systems, and complex business logic create challenges.",[],{"_key":778,"_type":422,"children":779,"markDefs":783,"style":563},"8d55a8ffa552",[780],{"_type":425,"marks":781,"text":782},[],"Inventory Matching",[],{"_key":785,"_type":422,"children":786,"markDefs":797,"style":429},"4549a8617dc9",[787,790,794],{"_type":425,"marks":788,"text":789},[],"For manufacturing companies, ",{"_type":425,"marks":791,"text":793},[792],"159af10c-ab97-419e-8f86-36e3b32022b2","inventory reconciliation",{"_type":425,"marks":795,"text":796},[]," involves matching purchase orders to inventory receipts and tracking goods across locations. Matching agents compare PO line items to receipt records at the transaction level, accounting for partial shipments and quantity variances. When mismatches occur, the agent flags them with context.",[798],{"_key":792,"_type":442,"linkPageModule":6,"newTab":12,"page":6,"type":14,"url":799},"http:\u002F\u002Fwww.nominal.so\u002Fblog\u002Finventory-reconciliation",{"_key":801,"_type":422,"children":802,"markDefs":806,"style":563},"89e9aba7980c",[803],{"_type":425,"marks":804,"text":805},[],"Intercompany Matching",[],{"_key":808,"_type":422,"children":809,"markDefs":813,"style":429},"cda1e07e8a20",[810],{"_type":425,"marks":811,"text":812},[],"Multi-entity organizations face transactions recorded in one entity that must match corresponding entries in another. Entities use different systems, record transactions on different dates, and apply currency conversions inconsistently.",[],{"_key":815,"_type":422,"children":816,"markDefs":820,"style":429},"f4ea9d59d4b2",[817],{"_type":425,"marks":818,"text":819},[],"Matching agents scan intercompany accounts across all entities and identify corresponding transactions. They handle timing differences, currency conversions, and reference mismatches. Once matched and signed off, the elimination agent posts the consolidation entry automatically.",[],{"_key":822,"_type":422,"children":823,"markDefs":827,"style":563},"a2cb21d03e4a",[824],{"_type":425,"marks":825,"text":826},[],"AR\u002FAP Matching",[],{"_key":829,"_type":422,"children":830,"markDefs":834,"style":429},"b288a64347db",[831],{"_type":425,"marks":832,"text":833},[],"Accounts receivable and payable matching involves reconciling invoices to payments. A customer might pay multiple invoices with a single wire or short-pay due to a dispute.",[],{"_key":836,"_type":422,"children":837,"markDefs":841,"style":429},"9c71e33ddce1",[838],{"_type":425,"marks":839,"text":840},[],"Matching agents compare invoice and payment records at the transaction level, apply fuzzy logic to account for reference errors, and categorize exceptions. 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Nominal performs over 90% of reconciliation matches automatically, leaving finance professionals to review only the exceptions that genuinely need attention.",[],{"_key":882,"_type":422,"children":883,"markDefs":887,"style":563},"81fdb9d153ad",[884],{"_type":425,"marks":885,"text":886},[],"From period-end to continuous reconciliation",[],{"_key":889,"_type":422,"children":890,"markDefs":894,"style":429},"318c5d951297",[891],{"_type":425,"marks":892,"text":893},[],"Traditional processes treat reconciliation as a monthly event that delays close. Matching agents process transactions as they occur, maintaining an always-current view of account balances. 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AI Error Detection Explained","2026-04-01T18:41:27Z","\u002Fblog\u002Ftransaction-patrol","The Transaction Patrol Agent: How Finance Teams Automate Error Detection",{"_id":1107,"_type":418,"author":1108,"categories":1130,"formRef":6,"globalSeo":1138,"headerImage":1139,"publishedDate":1146,"seo":1147,"slug":1152,"title":1153},"SBaifzyWgG6chxW0WZZRFB",{"_id":1109,"authorBio":6,"blockText":1110,"image":1119,"isAuthor":13,"links":6,"name":1127,"slug":1128,"title":1129},"SBaifzyWgG6chxW0WZQliB",[1111],{"_key":1112,"_type":422,"children":1113,"markDefs":1118,"style":429},"724c2287-2197-4988-9b8d-d7d05ba1e2ac",[1114],{"_key":1115,"_type":425,"marks":1116,"text":1117},"7eff2c91-679b-467e-9de5-2ef9fa67c3a9",[],"Katherine Mejia is an Account Executive at Nominal, where she partners with finance teams to modernize consolidation and close workflows. With over a decade of experience across SaaS, fintech, and accounting automation, Katherine brings a consultative, strategic lens to every conversation. Prior to Nominal, she led sales and customer experience teams in both startup and growth-stage environments, helping firms drive efficiency, scale, and better decision-making.",[],{"altText":6,"asset":1120,"bgColor":1122,"caption":6,"dimensions":1123,"lqip":1125,"originalFilename":1126},{"_ref":1121,"_type":40},"image-b83ea4d6fcfadc1ff8dcd329c6ec71d7dfc50e61-192x192-png","#624234",{"_type":43,"aspectRatio":44,"height":1124,"width":1124},192,"data:image\u002Fpng;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAIAAAAC64paAAAACXBIWXMAAAsTAAALEwEAmpwYAAAEk0lEQVR4nD3QfVdSBwDH8fsWWp00xC6PAdcLAipPgYKYPKhghTrNQpkkaSotd6pVrtJV21Rk2rQ8zlSMM+RJHi73CZDnC27n9M\u002FO3s6O65y9gM\u002F5nt8PyOYKmWw+k81lsnmCzB7sf3K7v9WoNSAI1tXVsZgsk9G8tPQ6HIlhRCaFpRGUTKaIBIInEBzIFUonueJJrpDN5gOB0Hfzj\u002FX6azAEMUGwgUZroNG4HI7RaFpc\u002FDEcjaP4\u002Fx5PpnCgWKrkC6VCsUwQ6eXl1R6zRQgLxQKeUsRXQhwJ+zKXfonFAHt6ete8G0kEP+ujJIISKZQESmWqUCqXypVoNDY7M9fWKhMJ+Ea5ZKpPO9d7dVwjNDZzBQy6CIanpmf+CIRxMoti6RRKpjASKFeoUoUqliof9\u002FZv3LgJCwSdLUL39Wtbc\u002Fb301+\u002Futk+oRW3w1yIy+nrtaxvbKYwEiOyZ\u002FEUAVSoWoWq5XPFVc+aTquVNfGcBtWK07Yz79y+P\u002FJ6UO\u002FStxqkkPAKW6VQPn7yNBJN4MTJl9lnmKqekkRm4dmCRt5mkQlfDuiWx62vbluXhrqfWq6Od0gNUkjMYzeLRHb72N7+4ZfZSQQHKpVqlTpNIdhDt1vfJpnobPXeMXrG+hYGDUsDnT\u002F0q12dLUMqkbaZL4Igs7nH611HMQLFySSCARRVq1X\u002FRBD0weysSSGZMyq2HH27UwPrDuuG3fx2QDvTJZ3USa4rRGKIr76qfvniVSKBYDiZSKIAVTnDBJ5+9uSJtUPxwKz8baxn22ldd1i27t58M2ya1LeNaZqtMlgs4Ekl0tmZ2eBRCMXweBI5K1PV01y+6PWsDfcaJg3ylVvda7cNy3d6t6ZGf3EMukztg0qRXiIQCfhNUNOt4ZGPv39EEDQeTwLV6umXw4PB0PzcjMtmej1q9Nw2eh3W7enR1XHbtEltaYXkEEcoEAh4PFO3wbO6FoslYrH\u002FMEXVqtXT3EnO79tfW\u002Fx+8e7gi6GuFXvP5qTt7YjRoZWqeAw+E2wSCK5wuSqFcuH5QjAUOcNUpVoulvIn2SyO5PEYHt5beeae6NO5DMqHfWqnTtIJMZh1F0A6vUkAcdhsESycvjfl8\u002FmPY0mgkCUzaDwV\u002FhQ52MKOdqpEMLj7q\u002FOWrUMCa2COjHuZcfH8xXPnuCymEIJYTBaHxb5h7fd6vIGjEFDEo0T08Ni35X\u002F\u002Fc2hnpZzyV7Aj75vn3bp2FgjS6y9d+Oo8nUZTtUnlUjETBC\u002FT6fKWFteEY\u002FntElBLR\u002FNJf8z3LrC9HNn1ZCK7p+kwGdl7Pn9f1tJSX08\u002Ff6GewWCaunRWUxcM8cHGRi6L2a5oHRvqBz7nE1UiGD98F971YIEP6dBOIXlYI0Nx\u002Fwf3vW8kYnE9rbGhkaFtV9+1D1vN15phmM1gcJmgXAwDf1ewvzLhlH\u002FzeM+bT\u002Fjy8YPs8V4ZC1TJcPhgc2ZyTCqW0BpAISxy2kcezblGbFaNQsZjs5iNdOCfKvE5d0wcfUj4NipYgMKPcvGDfPITRQRr6Yh\u002Fxzti62cw2QwG29Zv+enFozcL8\u002Fccox0qBZvJ\u002FBftICjgGqFBLgAAAABJRU5ErkJggg==","Katherine Mejia - profile","Katherine Mejia","\u002Fauthor\u002Fkatherine-mejia","Account Executive at Nominal",[1131,1136],{"_id":1132,"group":968,"slug":1133,"title":1135},"LQIXpVyMC2AzA4WEYo1dUZ",{"_type":970,"current":1134},"finance-trends-strategy","Finance Trends Strategy",{"_id":967,"group":968,"slug":1137,"title":972},{"_type":970,"current":971},{"description":6,"image":6,"title":6},{"altText":6,"asset":1140,"bgColor":1142,"caption":6,"dimensions":1143,"lqip":1144,"originalFilename":1145},{"_ref":1141,"_type":40},"image-fbfb46b9da610ccc373b5cb2cbc04e68a14982bf-800x552-png","#495bdd",{"_type":43,"aspectRatio":1002,"height":1003,"width":1004},"data:image\u002Fpng;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAOCAIAAACgpqunAAAACXBIWXMAAA7EAAAOxAGVKw4bAAADAklEQVR4nCVS228SeRid\u002F9AY98EH3zbqqqmNWrJWC6UMMFDozDDcYYAZoEK5DKVcSy8UqJra3Wzig5fdGNlV5vK7zEwR3jdTX07yfeec5Mv5DtE5XzZOF5m6uRUB9zdmd57+99vGjIwCvm5IJ4vGcCE0r6gUeuS0qF\u002FXv9tZLbFn1I5\u002FtCdLovt6WWjPNzlgZzUqCTc5zZOAL2ltg9Xyratyf+6OwfWg6onDzbDmtQTgxY7K1832+ZI4GC3TdfMZpdgZLfZKZ0TMFfX1oLpKyqmqITbN3wOqzaeE8pgVcaykb0XAimvGFfX9swWRrppsHjs4jYwBRsTBLGIE7IoCR0gLFXC4iDc5zckBWrimRORNgA3GOiRaMghHCGxFAS0gWkCRXZSTULqK4mU9K+k5CaUqMFbC1ljHgoQju5ZsR8A2n7rmU4nnAdXBaWwep6t6Y6AMzj60jz71xujsEh5PPvWGf3fHqDPCveE\u002FJ5PP9UMlsYdDBX3Nr666ZcIZBq4oCGZRuWtOLr72+r3D47O\u002FPqh\u002FvP\u002Fa7nY6\u002FePRxWxyKbc6g+ZB82j8uXCg0wL2JKArCghvErpj0J9Ge31z\u002FO776PzPN5cfL97rw7ffekfnncG75pF8OFE7g7fN9snh6EupY+zkrFBZERNUErrjcJtHGckoHMBqT9s\u002FwXt9M1eHla5caiuJMiq29Fpf2W1+y0kaXzNoAUdf6Vzh2uxLoW0eBbIWMgKicyiYRdtpRAv4OmQLaQEzIt7mkZ9HwRxOVgyuoBNUCrF53c8jm1\u002FxJmFGMqkktPkUX8oyM6Jls\u002FnVrQjI1M2dHH5GKX4eFdvzyK5OkDHIiJhKwVVSDmRQZTAPZNAqKVMpa\u002F\u002Fz849JmYyBymAeLuorLplKonzrihEx8cgpr\u002FkUO6tZfa6ZjdNFumaSUWAPaWs+xWoeqznDIF42pFOr5+44dIaBMwKeehXixt3prQfTJx6Fr5n7w0VrvNwfLvia+cSj\u002FPJgevP+9KFjFi8ZjVOLao4s\u002F\u002FOgevvxvzfuTf8HStVQo\u002FMQrsUAAAAASUVORK5CYII=","Why Business Central Users Hit a Scaling Wall and How APM Breaks Through - header","2025-11-19",{"_type":1052,"createdAt":1148,"description":1149,"image":6,"title":1150,"updatedAt":1151},"2026-03-12T15:16:38Z","Understand how APM fills the gaps left by EPM, ERP, and close management tools in finance workflows.","APM vs EPM vs Close Management: What's the Difference?","2026-04-01T18:37:25Z","\u002Fblog\u002Fapm-epm-close-management","APM vs. EPM vs. Close Management: Understanding Finance's Tech Stack Evolution","2025-12-03",{"_type":1052,"createdAt":1156,"description":1157,"image":6,"title":1158,"updatedAt":1159},"2026-03-12T15:24:30Z","Learn how matching agents streamline reconciliation and reduce manual effort in finance operations.","What Are Matching Agents? Modern Reconciliation Explained","2026-04-01T18:41:41Z","\u002Fblog\u002Fmatching-agents","What Are Matching Agents? The Foundation of Modern Reconciliation",1777300034092]