alltius.ai

Did you know that most companies are underestimating the ROI of their email marketing because they're only measuring online sales? Our founder, Vibhanshu Abhishek, co-authored research that proves it. His study of a major U.S. retailer found that email ads drive a 16% boost in physical store sales AND 19% online, a finding that changes how businesses should think about their marketing spend. The key insight? Email ads create a "webrooming" effect. Customers browse online after receiving an email, then head in-store to buy. If you're not tracking both channels, you're leaving real ROI on the table. This is exactly the kind of thinking we bring to alltius.ai . We combine AI-powered analytics with business process expertise to help companies make smarter, data-driven decisions across every channel, not just one. The research is there. The tools are here. Let's put them to work for your business. If your entire marketing strategy is built on incomplete data, how confident can you really be in the decisions you're making? Full paper and credits in the comments below! #EmailMarketing #AI #DataDriven #MultichannelRetail #BPO #Allitus

Automate the wrong thing in finance and the cost isn't a bug report. It's a compliance failure. Our founder Vibhanshu Abhishekwas on the panel at FinOps x AI last Tuesday, talking through where the human has to stay in the loop, what risks companies aren't accounting for, and what it actually takes to ship AI in a regulated environment. Thank you to neoflo.ai for building the space for this conversation! #HumanInTheLoop #AIAutomation #FinOps #AIRisk #ResponsibleAI #AIInFinance #AgenticAI

Only a few spots left, and the event starts in 4 hours! If you want to be in the room for this conversation, register on Luma now.

Vibhanshu Abhishek will be speaking at "FinOps x AI: What to Automate. What to Control." at UC Irvine on Tuesday, April 21. Most AI conversations in finance stop at "what's possible." The harder question, "what should actually be automated" and "what needs a human", is where most implementations get it wrong. That's what this panel is built around. Vibs will be joined by two practitioners who've lived this problem from very different seats: - Yin Warner, SVP of Information & Technology Risk at East West Bank, who has spent 20+ years at BofA, Citi, and MUFG navigating where AI governance breaks down in financial services. - Diane Weaver, Co-Founder & COO of BARYONS and CIO Advisor, who took Coursetune from zero to acquisition and now advises organizations on moving from AI strategy to real execution. Three perspectives. One room. A conversation worth having. Event details: Next Tuesday, April 21 4:00–6:00 PM UCI ANTrepreneur Center FREE to register! Food and drinks included. Register HERE: https://luma.com/yvcsd77o

Our founder Vibhanshu Abhishek will be on this panel at UC Irvine on April 21 alongside leaders from East West Bank and BARYONS. The topic is one we live at alltius.ai: getting AI out of the demo and into production workflows that financial teams can actually rely on. Free to attend! Link to register in the comments.

Our CEO Vibhanshu Abhishek will be speaking at AI in the Workforce with UC Irvine on April 22. Vibs brings a unique perspective to this conversation, as the founder of alltius.ai and Associate Professor of Information Systems at University of California, Irvine - The Paul Merage School of Business, he sits at the intersection of AI research and real-world deployment. Event information: Wednesday, April 22 8:30–10:00 AM @UCI Research Park Register HERE: https://lnkd.in/gwVW2KcE

Happy to announce our founder and CEO, Vibhanshu Abhishek, is taking the stage! When: Friday, April 10th, 9:30 AM to 2:00 PM  Where: Cal Poly Pomona College of Business Administration, Singelyn Graduate School of Business What: The Centaur Economy: Building, Pivoting, and Thriving at the Human-AI Frontier This one hits close to home for us. Vibs has spent 25+ years building AI models, first as an academic, then as a practitioner, now as the founder of Alltius. The Centaur Economy isn't a theory he read about; it's his framework for how humans and AI work better together than either can alone, and it's the lens through which Alltius was built. It's FREE to register, lunch is included, and the conversation will cover leadership and problem-solving in the age of AI. If you're in the Southern California area, or know someone who should be in the room, grab your spot: https://lnkd.in/eeUZJrf8 If the future of human-AI collaboration is on your mind, this is the room to be in on April 10th. #AlltiusAI #EnterpriseAI #AI #FutureOfWork #CentaurEconomy

A large share of contact center volume in insurance never needed a human in the first place. Industry benchmarks suggest that 50–80% of interactions can be automated with today’s technology (Gartner, McKinsey). Here is what that actually means in practice. A mid-size insurer handling 2,000 calls per day. Even at 60%, that is 1,200 calls daily that could be handled without an agent. At $8–$12 per call, that is: $9,600–$14,400 per day $3.5M–$5.2M per year On work that is largely repetitive. But the cost is not just financial. It is your best agents. The ones who handle complex claims, the ones customers trust, the ones you invested years developing. They are spending hours answering: What is my deductible? How do I submit a claim? What is my renewal status? Not because these questions are complex, but because the system was never designed to handle them without a human. The downstream impact is customer experience. Customers wait minutes for answers that should take seconds. Satisfaction drops. Retention follows. This is not a technology gap. It is an operating model decision. The question is no longer whether this can be automated. It is whether you are choosing not to. For those running or overseeing contact centers in insurance, what share of your volume today could be handled without an agent? alltius.ai #InsuranceTech #ContactCenter #FinancialServicesAI #AIAgents #InsuranceInnovation #OperationsLeadership #AIAutomation #Alltius

Most AI tools are built to respond. The best ones are built to finish. The difference shows up the moment a process hits a problem. A generic AI flags the issue and waits for someone to deal with it. A well-designed agent identifies what went wrong, works through the resolution, and only pulls in a human when the situation genuinely requires one. The work gets done. This is what that looks like day to day. AP exceptions that resolve themselves for standard cases. Month-end reconciliation that closes without a team working late. Collections that moves from outreach to payment arrangement without back and forth. The agents that actually finish the work are not smarter. They are built around the outcome from the start, not just the conversation. Most AI stops at the response. Finishing is where operations actually change. What has your experience been with AI in your operations? Where has it delivered and where has it fallen short? #AIAgents #FinanceOps #EnterpriseAI #BackOfficeAutomation

We're at #NTLF2026 — and we can't wait. Attending? Come say hi at the Alltius booth on Day 1 ( Feb 24, 2026) If AI in BFSI is on your mind this year, let's talk. Fairmont Mumbai | February 24, 2026 Tag someone who should stop by or is attending! #NTLF #AI #BFSI #NasscomNTLF