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Adopt AI
139 posts
Adopt AI
@getadoptai
Adopt AI turns your entire enterprise stack into agent-ready actions, not just the 20% with APIs.
- Replying to @getadoptaiThe compliance function doesn't need more people. It needs a layer that does the data work, so the people it has can focus on the judgment work they were hired for.
- Replying to @getadoptaiBCG data on institutions adopting AI with specialist implementation: Up to 60% efficiency gains and 40% cost reduction in onboarding, compliance, and settlement. A leading UK bank cut account-opening fraud by 90% since deploying GenAI in the process. These aren't pilot
- Replying to @getadoptaiThe governance question no one asks enough: "Can the AI explain why it flagged this?" This is the difference between AI that helps compliance and AI that creates compliance risk. Explainability isn't optional in BFSI. A model that performs well in development is unusable until
- Replying to @getadoptaiWhat changes with AI agents in the compliance layer: → KYC narratives drafted automatically from source data → AML alerts triaged by risk score before a human sees them → Adverse media monitoring runs continuously, not quarterly → Regulatory filings assembled from connected
- Replying to @getadoptaiThe pattern at institutions still managing this manually: Compliance teams spend the majority of their time on data gathering and documentation, not on the judgment calls that compliance professionals are actually trained to make. The same dynamic as accounting. The knowledge
- Replying to @getadoptaiThe structure of the compliance burden: → KYC/AML documentation- narrative review at intake, ongoing monitoring, adverse media scanning → Regulatory reporting- aggregating data from multiple systems into regulator-ready formats → Audit trail maintenance- proving decisions
- Financial crime compliance costs US and Canadian institutions over $61 billion a year. 98% of financial institutions reported that cost increased last year. Adding headcount is not the answer. Thread 🧵
- Replying to @getadoptaiThis is the pattern across every piece of CPA firm admin work: It's not that the task requires judgment. It's that no one built the system to handle it without judgment. Agents close that gap. Full breakdown: adopt.ai/use-case/rd-ta… #Tax #Automation
- Replying to @getadoptaiThe downstream effect most firms don't measure: When W-9 collection is automated, the January crunch shrinks. Not because you filed more. Because you didn't spend November and December fixing what should have been collected in March.
- Replying to @getadoptaiWhat an agent does differently: → Monitors vendor onboarding status continuously → Sends, follows up, and escalates automatically → Pre-validates TIN before the form enters your system → Flags mismatches, duplicates, and potential fraud at intake → Maintains a complete
- Replying to @getadoptaiThe taxonomy of W-9 failures: 1. Vendor never responds (most common) 2. Vendor sends wrong version of the form 3. Name/TIN mismatch that nobody caught 4. Duplicate vendor record with conflicting data 5. Valid W-9 that expired and nobody noticed All of these are detectable. None
- Replying to @getadoptaiThe cost isn't just time. It's what happens when a W-9 is wrong or missing at year-end: → Backup withholding exposure → Amended 1099s → Potential penalties → A very unhappy client call in January None of which required the W-9 to be wrong. Just late.
