Who We Serve & Why

Who

Credit unions, from the InfoSec and BSA officers to lending, HR, finance, and the executive team. Our anchor clients are already live in production, with more in active build.

The problem

Credit unions are adopting AI to stay competitive, but the common approaches create real security and regulatory risk:

• Third-party vendors get direct access to banking cores with shared keys.
• There's minimal oversight of what an AI agent actually does.
• There's no way to monitor or instantly shut down a rogue agent.

NCUA now requires credit unions to demonstrate control over their AI, including immediate shutdown. The liability falls on the credit union, not the vendor. A single compromised key or rogue agent is catastrophic, financially and reputationally.

Why Runline

We put a secure control plane between AI and the core, give every agent a scoped identity, make every action auditable, and put an instant kill-switch in the CU's own hands. Then, on that foundation, Runners actually do the back-office work, with a human in the loop at every consequential step.

Buy vs Build

Own your data, rent the scale. Keep ownership of your member data and relationships. Partner for the platform capabilities and execution capacity most institutions cannot build alone.

Why building in-house is structurally hard

• The talent is not there. As of mid-2026, only one U.S. credit union has a clearly confirmed Chief AI Officer, even as 69% of bank boards rate AI expertise as their number-one C-suite gap. The role has not standardized, and most institutions cannot hire and retain dedicated AI executive leadership.
• Fragmentation without structure. Without a dedicated strategic operator, AI shows up as small use cases scattered across the enterprise, never a coherent, member-facing strategy.

The partner case

• Build where you own it, buy where the vendor has scale. It is not a binary. Build where the data and the differentiation are yours; buy the platform and capacity you would otherwise spend years assembling.
• Governance is not advisory. In a regulated institution, whoever manages AI needs real decision rights: audit trails, governance authority, and a kill-switch. A partner with an embedded control plane can actually exercise that authority, not just recommend it. See Governance-First.
• The window is real. Larger institutions with existing technical leadership can question vendor necessity. For everyone else, the structural capacity gap keeps the buying window open.

Where Runline fits

Runline is the buy that keeps you in control: the platform, the governance, and the execution capacity, while your data and your relationships stay yours. You get the foundations and the governance without building an AI organization from scratch.

By industry

Credit Unions

Credit unions are our anchor market. They're NCUA-regulated, member-owned, and already outsource their intelligence work to CUSOs and third parties, which makes them the ideal first home for AI-native operations: the budget line and the vendor-swap pathway already exist (see The Outsourcing Wedge). Their Runline catalog lives under Runlines · Credit Unions.

Banks

Community and regional banks share most of the credit-union back office under a different regulator (OCC, FDIC, state). The governance-first pattern, a secure control plane, scoped agent identity, and audited workflows, carries over directly, with bank-specific compliance nuance.

RIAs & Funds

SEC-regulated investment advisors and funds. Our proof point here runs journal-entry pipelines, reconciliation, and reporting as Runlines under a different regulatory model. The compliance surface differs, the pattern does not.

Real Estate Firms

Property and real-estate investment firms run their own back office. The Runline pattern (a governed workflow, a Prime Runner, and human-in-the-loop) applies to their core operations, the fintech adjacency that first took Runline into regulated finance.