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🚨 Huge update 🎊 PitCrew is now integrated with TradePMR by Robinhood This will enable advisors on TradePMR’s Fusion platform to leverage PitCrew’s agentic platform for their onboarding, billing, operations, and compliance workflows. Rishi, Sameer, Ramesh, Arnav, Nixon #Advicers #ArtificialIntelligence #AgenticAI #FinancialServices #FinTech #Compliance #WealthManagement https://lnkd.in/d6MHBPcp

Thank you! Swami Sivasubramanian for highlighting our work and partnership with your incredible team. https://lnkd.in/dw5u-xED The hardest problem in AI for financial services isn't building the agent. It's proving the agent is right. That is where Amazon's Automated Reasoning checks come in. Not just a confidence score but mathematical proof that the output follows the firm's stated rules. We have spent a lot of time and effort iterating over product experience for Amazon's Automated reasoning. Appreciate all the support we got from Stefano Buliani and team. Sameer is at the upcoming Ai4 - Artificial Intelligence Conferences, to share our learnings and demo this to a broader audience. Rishi, Ramesh, Arnav https://lnkd.in/dHyfv2Rv

We polled over 200+ Wealth managers about their use of AI and we saw a pattern in the responses! Firms use a notetaker, ChatGPT, an AI in the CRM and many more point solutions. Each works fine on its own. None of them know the others exist. When a client calls about rebalancing, managers are ones stitching context across five systems by hand. The AI didn't reduce that work. It added one more tab to the rotation. AI was supposed to be a growth lever for wealth managers instead it has added more drudge work. We wrote about whats the right AI lever Link in the comments! Rishi Kulkarni Sameer Goel Ramesh May PitCrew Nixon James #Synergy26 TradePMR Wealth Management EDGE T3 Technology Tools for Today

Wealth managers can't describe their own grunt work. That's not a them problem. We saw it 100+ times last week and built something with AI to fix it. Rishi Kulkarni Sameer Goel Ramesh May PitCrew

PitCrew built AI agents for financial services that can mathematically prove their outputs are correct. Every output is verified against regulations and business policies using neurosymbolic AI. Not probably correct. Provably correct. With a full audit trail. 30 minutes instead of 2 weeks for manual cross-referencing 10 minutes to onboard clients, down from 3–4 hours 30 seconds to clear marketing posts vs. a 3-day compliance review Your experts go back to doing expert work. Built with Automated Reasoning checks in Amazon Bedrock Guardrails → https://lnkd.in/eWWffggt Sameer Goel Ramesh May Stefano Buliani PitCrew https://lnkd.in/dknpKxiS

Your systems agree on ONE thing. They DON'T agree.