Every month, brilliant financial controllers and CPAs effectively turn into human data-routers. The moment the month ends, the entire finance department halts its strategic work and begins a grueling, weeks-long archeological dig into sprawling spreadsheets, mismatched invoices, and clunky bank portals. They hunt down missing receipts, manually match thousands of rows of transactions, and badger department heads just to reconcile the books. We hire the smartest financial minds to help model the future of the business, but we chain them to the past.
It takes builders who have experienced the friction of scaling enterprise operations and the technical depth to bridge production AI research with real-world financial execution to see this as a problem of autonomous execution, not just software. That is precisely what Deepak Anchala, Rahul Bhattacharya, and Anirudh Badam are doing with Adopt AI.
Founded in 2024, the team is building a deeply intelligent, agentic accounting platform that actually executes the work.
Adopt AI deploys specialized AI agents that integrate directly into your existing financial stack — your ERP, your billing systems, and even bank portals with no APIs. Instead of waiting for a human to initiate a workflow, the agents autonomously extract invoice data, match purchase orders, execute complex account reconciliations, and draft the variance reports. They do the brutal, unglamorous work of pulling bank statements and populating tax workpapers. But crucially, they don’t replace the human accountant; they prepare the books end-to-end so that your finance team simply reviews the exceptions and signs off on the final, finished numbers.
The true moat here is an uncompromising commitment to auditable execution. In accounting, “trust me” isn’t a feature; it’s a massive liability. Adopt AI ensures every single AI action is time-stamped into an immutable audit trail, linking every matched figure back to its exact source document. The models write the logic to reconcile the accounts, but anything below a strict confidence threshold is instantly routed to a human reviewer. By completely abstracting away the soul-crushing busywork of data entry, it compresses weeks of manual preparation into mere hours of high-leverage review.
The market? High-growth startups, enterprise finance departments, and forward-thinking CPA firms who desperately need to scale their financial capacity and maintain perfectly accurate books without linearly scaling their headcount.
Seeing founders of this caliber head-down, tackling the most stubborn productivity bottlenecks in finance and fundamentally changing what an accountant’s day looks like, is profoundly inspiring. They are giving finance teams their strategic bandwidth and their weekends back.
Let’s celebrate the builders.
✍️ Jay Ingle
#Fintech #AgenticAI #ProductNation