PiTech Solutions Podcast

FinTech - Agentic AI, Stablecoins, and the Regulatory Reset of 2026 | PiTech Solutions Podcast

FinTech may be the most dynamic sector in financial services right now. In this episode, Mike and Laura walk C suite leaders through the three forces reshaping the industry in 2026: agentic AI moving from pilot to production, stablecoins crossing into mainstream payments infrastructure, and a regulatory reset that is redefining enterprise risk.

Agentic AI goes live. The AI agent market is on track to grow from $7.8 billion in 2025 to $52 billion by 2030. Banks and FinTechs are deploying autonomous agents across fraud detection (64%), loan processing (61%), and customer onboarding (59%). Finance function AI adoption has climbed from 37% in 2023 to 59% in 2025, a structural shift that legacy operating models cannot match on cost or speed.

Stablecoins reach mainstream scale. The two largest stablecoins now total $260 billion in market cap, three times their 2023 value. The GENIUS Act has cleared the regulatory path by classifying stablecoins from permitted issuers as payment instruments, unlocking institutional rails for 24/7 settlement, cross border payments, and emerging agentic commerce flows.

Embedded finance dissolves industry lines. Instant payouts for Uber drivers, stablecoin rails for Airbnb hosts, real time underwriting for Shopify merchants. Financial services are becoming a feature, not a destination. The $650 billion global FinTech market grew 21% year over year in 2025, more than three times the pace of the broader financial services industry.

Regulatory convergence is real. The EU AI Act's high risk system obligations take effect in August 2026. The CFPB is preparing its open banking rule. Trust by design, explainability, and continuous compliance are no longer optional. They are gating requirements for production AI.

Learn more about how PiTech Solutions helps regulated enterprises turn AI, digital assets, and regulation into one integrated strategy. Visit pitechsol.com.

#FinTech #AgenticAI #Stablecoins #EmbeddedFinance #RegTech

Health and Life Sciences: AI's Foundational Shift from Models to Molecules | PiTech Solutions Podcast

This week, Mike and Laura examine an inflection point for health and life sciences as artificial intelligence moves from pilot projects to foundational infrastructure across drug discovery, clinical trials, and regulatory review. They unpack the most consequential announcements of the past week and what they mean for C suite leaders in pharma, biotech, and healthcare.

OpenAI Enters Drug Discovery with GPT Rosalind. On April sixteenth, OpenAI launched a new model purpose built for biochemistry and genomics, squaring off against Google's Isomorphic Labs. Combined with Anthropic's four hundred million dollar acquisition of Coefficient Bio, frontier AI labs are now placing direct bets on the life sciences stack.

Eli Lilly's LillyPod and the Compute Arms Race. Lilly inaugurated the world's first NVIDIA DGX SuperPOD with DGX B three hundred systems, delivering over nine thousand petaflops of AI performance. We explore why industry leaders are building AI native operating models now and letting regulation catch up.

FDA and EMA Align on AI Principles. With regulators now demanding transparency, lifecycle controls, and explainable logic, we discuss what a mature AI governance framework looks like and why boards need to own this topic directly.

From Models to Molecules. The industry language has shifted. The first AI designed drug candidates are approaching phase three milestones, and platformization plus AI fluency are redrawing the clinical trial value chain. We also cover biosecurity concerns, AWS Amazon Bio Discovery, and why only twenty percent of biopharma companies are considered digitally maturing.

To learn more about how PiTech Solutions helps regulated industries navigate AI driven transformation with trust as the ultimate competitive advantage, visit pitechsol.com.

#HealthAndLifeSciences #ArtificialIntelligence #DrugDiscovery #ClinicalTrials #AIGovernance

Healthcare - AI Billion-Dollar Bet on Patient Care and the CMS ACCESS Model

In this episode of the PiTech Solutions Podcast, Mike and Laura explore the seismic shifts reshaping healthcare technology in 2026. From UnitedHealth Group unprecedented three billion dollar AI investment to the federal government bold new payment models, the healthcare industry is at a true inflection point.

The hosts examine UnitedHealth Group massive AI commitment, deploying over one thousand AI applications across insurance, care delivery, and pharmacy operations. With twenty-two thousand software engineers and eighty percent leveraging AI tools, this investment signals a fundamental transformation in how the nation largest health insurer operates. But as a class-action lawsuit over algorithmic claim denials shows, governance and transparency remain critical challenges.

Mike and Laura also dive into the CMS ACCESS Model, a groundbreaking ten-year payment initiative launching July 2026 that rewards health outcomes rather than activities. Combined with the FDA TEMPO pilot for digital health devices, this represents a rare moment of federal alignment around technology-enabled care that C-suite leaders cannot afford to ignore.

The discussion extends to AI accelerating impact on drug discovery and clinical trials, where AI-enabled workflows are compressing early discovery timelines by thirty to forty percent, and the broader landscape of healthcare AI adoption, with eighty-five percent of organizations increasing their AI budgets in 2026.

To learn more about how PiTech Solutions can help your organization navigate the healthcare technology landscape, visit pitechsol.com.

#HealthcareAI #DigitalHealth #CMSACCESSModel #AIGovernance #HealthTech

Insurance - AI Becomes the Operating System for Insurers in 2026

In this episode of the PiTech Solutions Podcast, Mike and Laura explore how AI is fundamentally reshaping the insurance industry in 2026. From autonomous AI agents handling claims and underwriting to real-time continuous risk assessment, the transformation is unprecedented.

Topics include AI agents cutting processing times by 70%, real-time IoT-driven underwriting, automated claims ecosystems, insurtech investment surges, regulatory challenges with state-level AI regulations and the EU AI Act, and workforce evolution.

Visit pitechsol.com to learn more.

#InsuranceAI #InsurTech2026 #AIGovernance #DigitalTransformation #RegulatedIndustries

Capital markets are undergoing the most profound technological transformation in a generation. In this episode of the PiTech Solutions Podcast, hosts Mike and Alex take a deep dive into the forces reshaping regulated finance in 2026 — from agentic AI revolutionizing trading and risk management, to the explosive growth of real-world asset tokenization, to the automation imperative driven by T+1 settlement modernization. Whether you are a C-suite executive, technology leader, or innovation champion at a financial institution, this episode delivers the thought leadership and strategic insight you need to navigate the future of capital markets.

Agentic AI: From Pilot to Production
Generative AI was just the beginning. In 2026, capital markets firms are racing toward agentic AI. According to Broadridge 2026 Digital Transformation Study, 27% of firms now report direct financial benefits from AI, nearly double the 14% recorded in 2025. Meanwhile, Morgan Stanley research reveals that AI is now a driver of capital markets activity itself, fueling M&A, infrastructure investment, and new debt financing structures on a massive scale.

Tokenization: The $24 Billion Reality
Tokenized real-world assets surpassed $24 billion in total value by early 2026, growing 266% in 2025 alone. BlackRock, Franklin Templeton, JPMorgan, Fidelity, and Apollo have moved from experimentation to full-scale institutional deployment. The NYSE has announced a dedicated venue for 24/7 tokenized securities trading. We explore what this means for post-trade efficiency, collateral management, and liquidity.

T+1 Settlement: The Automation Imperative
The US, Canada, and Mexico completed their T+1 settlement transition in May 2024, with Europe and the UK targeting October 2027. T+1 is a holistic recalibration of the entire trading lifecycle. The DTCC reported that T+1 reduced the NSCC Clearing Fund by $3 billion (23%), unlocking capital for redeployment. Automation, data quality, and custodian integration are now strategic imperatives.

RegTech: The Sleeper Topic That Cannot Be Ignored
The 2026 regulatory landscape spans the EU AI Act, MiFID III, FRTB, Basel III/IV, ESG mandates, and AML/KYC obligations. AI and RegTech are converging to deliver real-time monitoring and surveillance, reducing fraud detection false positives by over 50%. Regulators now expect firms to prove controls work in practice through auditable, explainable AI-enabled frameworks.

Keywords: capital markets, AI, digital transformation, regulated industries, fintech, tokenization, RegTech, T+1 settlement, agentic AI, blockchain, distributed ledger technology, asset management, investment banking

Visit pitechsol.com to learn how PiTech Solutions helps regulated financial institutions navigate the intersection of technology, compliance, and innovation.

In this week's episode, Mike and Alex explore the banking industry — one of the most heavily regulated sectors undergoing rapid digital transformation.

Topics covered include:

• The US Treasury's new AI Risk Management Framework and what it means for financial institutions
• Proposed changes to bank capital requirements including Basel III endgame modifications
• How banks are deploying AI for compliance automation, credit scoring, and fraud detection
• The open banking data-sharing landscape and Section 1033 developments
• Cloud migration strategies for regulatory-first financial institutions
• Practical takeaways for banking technology leaders navigating compliance and innovation

To learn more about PiTech Solutions, visit pitechsol.com.

In this episode of the PiTech Solutions Podcast, we dive deep into the rapidly evolving landscape of artificial intelligence and its impact on enterprise efficiency.

 As businesses struggle to bridge the gap between innovation and implementation, we explore how PiTech Solutions is pioneering the integration of machine learning into workflows, and turning complex data into actionable insights. 

Whether you are a CTO looking to optimize your stack or a curious professional eager to stay ahead of the curve, this conversation offers a roadmap for the digital future. We break down the myths surrounding automation and reveal why human-centric design remains the cornerstone of any successful tech transformation.

Join us as we navigate the challenges and opportunities of the next decade. Tune in now to master the tools of tomorrow and elevate your business strategy with PiTech.

The Thales 2026 Data Threat Report has arrived, and the findings are a wake-up call for every enterprise leader. In this episode of The PiTech Perspective, host Alex and security architect Mike unpack the report's most alarming statistic: only 34% of organizations actually know where all their data lives. That means two-thirds of businesses are essentially operating in the dark — and they're doing it at the exact moment a powerful new technology, Agentic AI, is being handed the keys to their most sensitive systems.

Unlike the chatbots of years past, today's AI agents don't just generate text — they act. They move across CRMs, billing platforms, support databases, and email servers with broad administrative access, making thousands of autonomous decisions per minute. The report reveals that 61% of organizations have already seen their AI applications targeted by attackers, and a new class of threat — the "Confused Deputy" — means adversaries no longer need to break through firewalls. They just need to trick a well-credentialed AI into doing their dirty work. Compounding the risk, nearly half of all sensitive cloud data remains unencrypted, leaving it vulnerable not only to today's attacks but to the looming "Harvest Now, Decrypt Later" threat posed by quantum computing.

Alex and Mike explore why traditional perimeter security is no longer enough and make the case for a data-centric approach — one built on automated discovery, classification, and attribute-based access controls that let the data defend itself. Using the analogy of a Formula 1 car's braking system, they argue that strong governance doesn't slow innovation down; it's what allows organizations to go fast with confidence. If you're a CIO or CISO who can't answer three simple questions — where is your data, is it quantum-ready, and would you know if an AI agent went rogue — this episode is required listening.

As regional banks race to deploy agentic AI — systems that can independently make decisions, take actions, and interact with customers — the question isn't whether to adopt, but how to do it without losing control. In this episode, we explore the tension between unleashing AI agents that can streamline lending, compliance, and customer service, and maintaining the data governance guardrails that regulators and customers demand. We break down why getting this balance wrong could mean anything from regulatory penalties to eroded customer trust, and what forward-thinking regional banks are doing to get it right. No hype, no vendor pitches — just practical insights for banking leaders navigating one of the most consequential technology decisions of the decade.