@CtrlAltpod #Banking #AIGovernance Just sat down with Rohit Khanna (CCO of Smarsh) to record the ultimate masterclass on AI in regulated finance. If you think deploying AI in banking is easy, you have no idea what's coming. @SmarshInc manages communications data for most of the world's largest banks, and Rohit gave us a look behind the scenes: 1️⃣ The Identity Crisis: Within years, AI agents are projected to outnumber human bankers roughly 100 to 1. This forces a shift from "Know Your Customer" to "Know Your Agent" (KYA) - who actually carries the liability when a machine executes a transaction or files a report? 2️⃣ Cognitive Atrophy: Goldman Sachs veteran Chris Churchman warns that automating first-line analysis creates a critical skills gap. How do human compliance officers build real-world judgment if AI does all the entry-level work? 3️⃣ The Psychology of Trust: Giving Smarsh's AI agents distinct names and personalities bypassed automation skepticism and drove adoption up by 76%. Their friendly avatar, @salesforce #Archie, is already hitting a 71% deflection rate (surpassing the 70% benchmark) with a stellar 2.6 out of 3 confidence score. 4️⃣ The Regulatory Blindspot: While the SEC and FINRA are trying to adapt, the Fed's SR 26-2 model risk guidance completely left generative and agentic AI out of scope. Banks are designing workflows in a regulatory wild west. This episode is a must-watch for anyone building in AI, compliance, or fintech. Dropping soon. 🔔 🎙️ Since this episode heavily centers on KYA and machine identity, would you like me to draft an accompanying cheat sheet on the "5 Pillars of Know Your Agent (KYA)" that you can share as a downloadable marketing resource alongside the launch?

Archie, Smarsh's AI-powered customer support agent built on Agentforce, has achieved a 72% deflection rate and 2.6 out of 3 resolution confidence score, surpassing company benchmarks. The results validate how agentic AI can improve customer experiences and operational efficiency while supporting the trust, governance, security, and compliance requirements of highly regulated industries, creating a repeatable model for responsible AI adoption. Now Smarsh is extending that model beyond customer service. Emmy, the company’s second AI agent built on Agentforce, brings the same approach to internal workflows by giving support representatives instant account snapshots, including ownership, status, and case history, plus AI-assisted resolution guidance at case closure. Launched in late March 2026, Emmy reached 65% adoption among support representatives by the end of June, exceeding Smarsh's 50% target. smarsh.com/press-release/sma…

19 years on the Inc. 5000 🏆 💡 GenAI integrator: ChatGPT Enterprise, Claude Enterprise, Copilot ⚖️ Trusted by 9 of the top 10 financial institutions 🏅 Gartner MQ Leader, 9 years running 🔎 Oversight across 100+ channels heyor.ca/xEKY4J

AI has the potential to transform compliance—but what’s stopping organizations from fully embracing it? Privacy concerns? Regulatory uncertainty? Cost? Internal expertise? Vote below. 📷

Smarsh just won a 2026 Global Recognition Award for our AI-powered customer support, featured in @BusinessInsider! 🏆 🔹 97.6% CSAT score 🔹 60% drop in P2 escalations 🔹 40% faster case resolution Full feature ⬇️ heyor.ca/V2v8hi

When your engineers build compliance software for the world's largest financial institutions, "move fast and break things" was never an option. So when @SmarshInc set out to bring generative AI into their software development lifecycle, they needed a partner who could help them move fast without compromising the audit trails, security, and governance their customers depend on. That's exactly what we built together. Working alongside Smarsh and the AWS Generative AI Innovation Center, Caylent helped design and deploy an agentic SDLC framework on Amazon Bedrock, embedding @claudeai Code, powered by @AnthropicAI, across the entire delivery lifecycle for code generation, automated testing, documentation synthesis, and security review. The results in year one: 📈 $5 to $10 million in engineering and product capacity freed up and reinvested into innovation ✅ 15% to 40% reduction in defect escape rates ⚡️ 15% to 30% improvement in test coverage 🕒 A projected 25% reduction in lead time for changes 🚀 Test coverage up from about 20% to nearly 100% in a single day, a task that used to take weeks But the real story isn't just the numbers. Smarsh took a "workflow, not seat" approach, weaving AI into how product managers refine requirements and how engineers write specs, generate tests, and take on long-running autonomous work. That shift is turning test harness creation, once one of the least popular jobs in engineering, into work people are genuinely excited about. This is what agentic SDLC looks like when governance, security, and speed move together, even in one of the most regulated industries there is. Read the full story 👉 caylent.com/case-study/smars…

The Smarshian can't come to the phone right now... They're too busy reading our 2026 AI Trends Study. Inside, you'll find 5 trends shaping what comes next in AI, governance, and communications data. 👉 Grab your free copy: bit.ly/4f8gIsN

Excited to announce that Caylent has signed a new multi-year Strategic Collaboration Agreement with @awscloud! 🚀 This expanded partnership accelerates our work across three areas where enterprise demand is growing: agentic AI, customer experience transformation powered by Amazon Connect, and a new generation of managed services built on agentic cloud operations. Organizations including @glean and @SmarshInc are already working with Caylent to build and scale agentic systems on AWS. Through this collaboration, we're proud to deepen our partnership with AWS and help more customers turn ideas into impact, faster. Learn more 👉 hubs.li/Q04kVrP70

It looks like the 2026 FIFA World Cup is officially kicking off ⚽ Naturally, the Smarshian showed up at the opening ceremony ready — repping our new limited-edition World Cup swag. Who are you rooting to take home the trophy? Besides Compliance FC, of course 🏆

We’re excited to partner with @SmarshInc to bring #cloudbased communications compliance solutions to the #PublicSector. Learn how this collaboration helps agencies detect risk early and strengthen governance in the full release: carah.io/SmarshPartnership

We gave hockey icon @HLundqvist the ultimate compliance lingo pop quiz 🏒📝 Play along and see how many acronyms you get right — but fair warning: the last one is basically impossible.

AI unlocks insight in communications. Watch how firms can turn that data into an advantage Watch the full video here: ft.com/content/9c9eb1b1-9083… Partner Content by @SmarshInc

Today on NYSE Live | It is Madison Air's IPO Day $MAIR @FrankCappelleri breaks down S&P 500's rally, @SmarshInc talks AI agents, and @Bankrate shares that 'very good' credit could save borrowers $54K on mortgage. nitter.net/i/broadcasts/1DxLdveNQ…

The gap between traditional support and autonomous service is growing fast. ↔️ For Smarsh, the goal wasn’t just to keep up. It was to rethink what a great customer experience should look like. Before Agentforce, Smarsh had high volumes of support inquiries that led to bottlenecks. Now, they're driving faster, more efficient service. ⚡ Smarsh's experience proves that you don’t have to choose between scaling your operations and delivering high-quality support. And the shift to autonomous service is more achievable than you'd expect. Curious how they did it? Read the full breakdown here: sforce.co/47JkRQU

THIS JUST IN: Smarsh Agents are here 🎤 Meet our latest platform enhancements — built to sharpen legal discovery, reduce surveillance noise, and strengthen defensibility for global compliance teams. See the next phase in intelligence-driven compliance: bit.ly/3Nw8O2l

When teams adopt AI faster than controls can keep up, risk multiplies at scale ⚠️ Sr. Regulatory Advisor Tiffany Magri explains what that means in practice — and why firms can’t treat governance as a phase-two project. 📚 Get the 2026 Insights Report: bit.ly/4cDSGpW

How Smarsh built an #AI front door for regulated industries — and drove 59% self-service adoption venturebeat.com/ai/how-smars…

Before you buy “AI-powered,” ask: what’s under the hood? Smarsh Principal Solutions Architect Patrick Palomo breaks down how to separate real capability from hype — and why “garbage in, garbage out” is even more relevant when outcomes carry regulatory risk ⬇️ 🎥: @Cheddar

One Smarsh Forward 2026 is hard to put into words... So we asked Smarshians to sum it up with just ONE emoji. Drop yours below! ⬇️👇

5️⃣...4️⃣...3️⃣...2️⃣...1️⃣ One Smarsh Forward 2026 starts — now!