Industry Wave

JPMorgan Chase is navigating a regulatory tsunami that's reshaping how every major bank operates. The OCC and FDIC's 2025 operational resilience framework mandates that systemically important banks demonstrate end-to-end process visibility by Q3 2026 — and JPMorgan is spending an estimated $2.1B on compliance modernization this year alone.

Meanwhile, Goldman Sachs and Morgan Stanley have both publicly committed to "intelligent automation-first" operating models, putting competitive pressure on JPMorgan's operations leadership. Goldman's GS Platform reduced back-office processing costs by 34% in their last earnings call — a number Jamie Dimon's team is acutely aware of.

The banking industry is also facing a talent cliff: 40% of operations staff in the 50-64 age bracket are expected to retire by 2028, and the institutional knowledge they carry is mostly undocumented, manual processes.

Platform Wave

JPMorgan has been a first-mover on AI with their LLM Suite (internal ChatGPT deployment) and IndexGPT for investment analysis. But there's a critical gap: they've invested heavily in AI for customer-facing and analytical workloads while leaving operational workflows largely untouched.

Their current automation stack — a combination of Blue Prism RPA bots and homegrown Python scripts — is hitting scale limits. Internal engineering teams report 60%+ bot failure rates when upstream systems change, creating a fragile automation layer that requires constant babysitting.

The shift from RPA (screen-scraping brittle bots) to API-native workflow orchestration is the platform migration JPMorgan hasn't made yet. This is where Nexus fits — not as another bot framework, but as the intelligent orchestration layer that connects their existing systems.

• The "RPA Graveyard" Problem — Banks that went all-in on RPA 5 years ago now have thousands of bots that break monthly. JPMorgan has an estimated 3,000+ Blue Prism bots, and industry analysts report that 40-60% of enterprise RPA deployments are "zombie bots" — technically running but producing unreliable results. The maintenance cost exceeds the original automation savings.
• Compliance-by-Spreadsheet — Despite billions in compliance spend, most regulatory reporting workflows still involve manual data aggregation across 15-20 disconnected systems. Wells Fargo's $3.7B fine in 2022 was partly traced to manual process failures in monitoring. JPMorgan's risk team knows this but can't get engineering bandwidth to fix it.
• The "Shadow IT" Automation Sprawl — When central IT can't move fast enough, business units build their own automation (Python scripts, Zapier, internal tools). JPMorgan's operations teams reportedly run 500+ unsanctioned automation tools. Each one is an audit risk, a security risk, and a knowledge silo that walks out the door when someone leaves.
• Integration Paralysis — The average enterprise bank has 900+ applications. JPMorgan has even more. Every automation initiative requires 3-6 months just to navigate internal architecture review and security approvals. By the time it ships, the business need has changed. This is why their operations leaders feel stuck.

Opening Frame

"We've been studying how the top 10 banks are approaching the 2026 operational resilience deadline, and there's a pattern emerging: the ones making real progress aren't adding more bots — they're building an orchestration layer that makes their existing systems work together intelligently. That's the conversation we'd love to have with you."

Conversation Hooks

• "Goldman just reported 34% back-office cost reduction from their automation platform..." — How is your operations leadership thinking about that competitive dynamic?
• "We're seeing banks shift from RPA maintenance to API-native orchestration..." — What's your current experience with bot reliability at scale?
• "The OCC's 2026 resilience framework is creating urgency around process visibility..." — How confident is your team in demonstrating end-to-end process documentation?
• "One pattern we're noticing is that shadow automation — the scripts and tools business units build themselves — is becoming the biggest audit risk..." — Is that something your compliance team is tracking?

Objection Reframes

"We already have Blue Prism / our RPA stack."

That makes complete sense — most banks at your scale have significant RPA investments. What we're hearing from peers is that the challenge isn't replacing RPA, it's graduating from it. Nexus sits on top of your existing bots and scripts as an orchestration layer. Think of it as the management plane that makes your current automation reliable instead of fragile. How much time is your team currently spending on bot maintenance vs. building new automation?

"We're building our own internal platform."

Totally valid — JPMorgan has world-class engineering talent. The pattern we see is that internal teams are excellent at building automation for specific high-value use cases, but the 80% of workflows that are "important but not strategic" get stuck in a backlog forever. Nexus handles that long tail so your best engineers stay focused on what matters most. What's the current wait time for an operations team to get automation built by your internal platform team?

Power Phrase

"You don't need more bots. You need your existing systems to talk to each other intelligently — and you need it before the 2026 resilience deadline makes it an audit finding instead of a competitive advantage."