UPTIQ

Intake to underwriting shouldn't take days of re-keying, document chasing, and manual spreading. On July 28th, see how Uptiq connects intake, extraction, spreading, and credit memo prep into one AI-powered workflow live. 🗓 July 28 | 12 PM CT | Virtual Demo With Lauren Brown (Sr. Solutions Engineer) & Jay Richardson (GM, Equipment Finance & Private Credit)

Most banks don't struggle to start with AI. They struggle to scale it. The biggest roadblocks aren't the models; they're governance, stakeholder alignment, risk management, and knowing where to begin. That's why we created The Banker's Field Guide to AI Adoption. It's a practical playbook for banking leaders looking to evaluate AI, prioritize the right use cases, and move from pilot projects to measurable business outcomes. Download your copy and start building an AI strategy that delivers. https://lnkd.in/d_Y_eGZj #Banking #ArtificialIntelligence #AgenticAI #DigitalTransformation #Fintech #guide

Loan intake shouldn't be the reason deals stall. In our recent demo, we walked through how Uptiq's Intake Agent handles this end-to-end pre-screening applications against policy, chasing down documents automatically, and pushing a clean, structured packet straight to your analysts. No more manual chasing. No more losing deals to slow intake. Here's a quick look Want the full walkthrough? Watch the complete recording here: https://lnkd.in/dBCBeV7G

Generic AI knows how to sound confident. It doesn't know your credit policy, your thresholds, or your documentation standards. Explainability just became a must-have, not a nice-to-have. Read what "configured to policy" actually means, and why it's about to matter a lot more. #CreditUnions #AIinBanking #AgenticAI

"Think of AI as a co-worker, not a replacement." That's how Law Helie, EVP of Product at Uptiq, who brings 20+ years in banking, lending technology, and financial services innovation to the conversation, reframes the AI-and-jobs conversation in lending. In this episode of Inside Uptiq, Law breaks down why "time to yes" is still stuck behind manual reviews, why generic AI fails at underwriting and compliance, and why the banks sitting out AI adoption today may end up in the same spot as the ones that waited too long on online banking. Watch the full conversation  #AgenticAI #AIinBanking #Fintech #InsideUptiq

Your best credit officer isn't underperforming. Their tools are. 4 hours re-entering data they already had. 2 hours chasing a document that was in the original email. 90 minutes writing a memo that says the same thing every time. That's not a talent problem. That's an ops problem, and it's fixable. See how leading lenders automate underwriting without replacing their LOS.👉 Explore the Underwriting Agent: https://lnkd.in/dgmqCQFF

Every risk signal you need may already be sitting in the bank statement. The challenge isn't getting the data. It's finding the patterns hidden inside thousands of transactions, inconsistent descriptions, and months of activity. Most statement reviews focus on verification. But what about the signals that often go unnoticed? NSFs. Irregular cash flows. Hidden debt obligations. Emerging stress indicators. We tell you how raw transaction data can be transformed into actionable risk insights, and why looking at statements differently can change the quality of credit decisions. Swipe through 👇 #CommercialLending #CreditRisk #Underwriting #Lending #Fintech

A covenant breach is a lagging indicator. By the time your quarterly review confirms it, the borrower has been deteriorating for months. In a market with a $2T CRE maturity wall and record distress, monitoring once a quarter isn't caution, it's exposure. In our latest newsletter, learn more about why loan monitoring can't stay a quarterly ritual. #CommercialLending #CreditRisk #AIinBanking #CRE

Everyone is talking about how AI will transform financial services. But building AI for banks, lenders, wealth managers, and credit unions is very different from building AI for most other industries. As Snehal Fulzele points out in this conversation, trust is at the heart of every AI implementation. In financial services, AI doesn't operate in a vacuum. It operates in a regulated environment where: • Every recommendation needs to be explainable. • Every action needs to be auditable. • Every decision needs clear accountability. • And every mistake has real financial, regulatory, and reputational consequences. That's why enterprise AI can't just be powerful—it has to be trustworthy. At Uptiq, we've learned that successful AI isn't about replacing experts or automating everything. It's about building AI agents that work within the controls, policies, and governance frameworks financial institutions already rely on. The most valuable AI systems don't just produce answers. They show how they arrived at those answers, cite the underlying evidence, preserve an audit trail, and keep humans in control where it matters most. As financial institutions move from experimenting with AI to deploying it in production, trust will become the defining competitive advantage. Not the biggest model. Not the fastest response. Not the most features. The AI that earns trust will be the AI that gets adopted. Thanks, Snehal Fulzele, for sharing a perspective that resonates deeply with what we're building every day. #FinancialAI #BankingAI #LendingAI #AIAgents #Uptiq

Reading SMB tax returns is a 2-3 hour job per deal. 1040s, 1120-Ss, K-1s, Schedule Cs - every borrower submits them differently, and your analysts key every page by hand. AI parses the whole stack, scanned or handwritten, and extracts qualifying income, addbacks, and red flags into a clean summary built for underwriting. Got a complex return? Watch Armi explain what AI pulls out of it.