The agentic AI harness for credit unions

AI that finally sees
the whole member.

The full picture of every member already lives in your systems. It's just scattered across your core, lending, cards, and digital banking, so no agent or person can see all of it. Cortava federates it into one governed view, so every AI agent you run acts on the whole member: fraud caught the moment it crosses accounts, loans decisioned on the full relationship, the right offer surfaced before a member looks elsewhere, and service without the runaround. In your environment, under your control.

NCUA-compliant governance  ·  Data stays in your environment  ·  First agents live in 8 weeks
Symitar · Fiserv · FIS
Core banking
Connected
Alkami / Q2
Digital banking platform
Connected
Cortava Harness™
Federated · Governed · Auditable
MeridianLink
Loan origination
Connected
Velera / PSCU
Payments & card processing
Connected
The problem

Credit unions have the data.
They just can't reach it.

The average $1B+ credit union runs 12–15 vendor systems. Member data lives in all of them. No AI agent can serve your members without seeing all of it simultaneously.

01
Fragmented stack, fragmented intelligence
Symitar holds your member records. MeridianLink holds your loan pipeline. Velera holds your transaction data. No unified view means every AI initiative is partial and partial AI is dangerous in financial services.
Avg. credit union: 12–15 vendor systems
02
AI pilots that never reach production
74% of credit union technology projects fail to deploy. Not because the AI does not work, but because the integration does not. Building one-off connectors for every new AI use case is the most expensive way to fail.
1 in 4 tech projects never deploys
03
NCUA scrutiny is here and AI is next
NCUA updated its AI guidance in late 2025. Algorithmic decisioning, fair lending compliance, and model risk are now explicitly on the examination agenda. AI without a governed, auditable decision trail is an examination risk.
NCUA AI guidance updated Q4 2025
Federation

Your data stays where it lives.
Cortava connects it.

Your member's full picture is split across every system you run. Cortava brings the computation to your data, not your data to a warehouse: it queries Symitar, MeridianLink, and Velera together and returns only what your agents need to act on the whole member. No data migration. No data egress. No vendor lock-in.

Cortava Harness
Unified intelligence layer
Federated  ·  Governed  ·  Agentic
queries push down  ·  only results return  ·  data never moves
Symitar / Fiserv / FISCore banking · Accounts · Members
Temenos / FinacleCore + digital banking
Alkami / Q2 / MahaloDigital banking · Sessions
MeridianLink / nCinoLoan origination · Decisions
Velera / CO-OPCard · ACH · Payments
Empower / GLOrigination · General ledger
Salesforce / HubSpotCRM · Engagement · Marketing
+ Any system with an APIBSA/AML, collections, ERP & more
Snowflake / DatabricksCloud data platforms, EDW, and native AWS/Azure/GCP stacks
No migration
Your Symitar investment is safe
Cortava sits above your core it never replaces it. Whether you run Symitar, Fiserv DNA, FIS Horizon, or Temenos, Cortava connects through your core's native APIs. Every AI agent reads through governed, permissioned calls. Your core stays exactly where it is. Cortava sits on top.
Cross-system context
The fraud agent that actually works
A fraud agent that only sees one system misses most of the picture. Cortava's fraud agent simultaneously correlates core account patterns (Symitar, Fiserv, or FIS), Velera card activity, and MeridianLink new-account signals in real time, in a single query that never moves data off your infrastructure.
Pushdown optimization
Fast queries at scale
Cortava uses pushdown optimization complex filtering and aggregation happen at the source database, not in memory. Queries that would take minutes in a traditional data pipeline run in seconds. Your member-facing agents stay responsive.
Governed & auditable
Every agent query is permissioned and logged
Cortava brokers each agent's access through role-based, permissioned queries and records every one. You get a complete, auditable decision trail across every connected system built for the kind of governance NCUA's examiners now expect, not a black box.
16+
Pre-built connectors
Symitar, Fiserv, FIS, Temenos, Finacle, MeridianLink, Alkami, Q2, Velera, Empower and more out of the box.
0
Data migrations required
Your data stays in its source system. Cortava federates across it never copies it to a new warehouse.
8 Wks
To live on Symitar
First Cortava agents live on your Symitar environment in 8 weeks. No custom integration project required.
100%
Data in your environment
Cloud-tenant, private cloud, or on-premises. Member data never leaves your infrastructure.
Semantic layer

Your analysts ask questions in English.
Your agents do too.

The semantic layer translates between the way humans think about members and the way your systems store data. Natural language queries, unified meaning across all systems, AI-powered metadata classification making your data accessible to every person and every agent in your organization.

Layer 1 · Knowledge
Unified catalog across all systems
Every field in Symitar, every loan attribute in MeridianLink, every transaction type in Velera catalogued, classified, and semantically linked. Cortava knows that "member balance" in Symitar and "available funds" in Alkami are the same concept.
7+ catalog backendsAI-powered classificationSchema evolution tracking
Layer 2 · Translation
Natural language to federated SQL
Business users and AI agents ask questions in plain language. Cortava's NL-to-SQL engine translates them into optimized, federated queries across Symitar, MeridianLink, and Velera simultaneously with auto-correction and smart suggestions.
NL-to-SQLAuto-correctionCross-system joins
Layer 3 · Governance
Data contracts & quality enforcement
Machine-readable data contracts define what data means, how fresh it must be, and who can access it. Quality gates enforce ECOA-compliant data standards before any AI agent uses the data for decisioning. Every query carries lineage back to the source.
Versioned contractsECOA-compliant gatesColumn-level lineage
Layer 4 · Access
Role-based semantic access control
RBAC and ABAC control what data each agent and each human can access. A loan officer's AI agent sees member creditworthiness data. A marketing agent cannot. PII is automatically masked in query results based on the requesting role.
RBAC / ABACAuto PII maskingMember data privacy
Natural language query demo
"Show me members with checking accounts above $10,000 who haven't applied for a loan in the past 2 years but have had 3+ direct deposits per month"
Generated federated SQL across Symitar + Empower
SELECT m.member_id, m.full_name,
       a.balance, d.deposit_count
FROM symitar.members m
JOIN symitar.accounts a ON m.id = a.member_id
JOIN empower.deposit_summary d
     ON m.id = d.member_id
WHERE a.type = 'CHECKING'
  AND a.balance > 10000
  AND d.monthly_count >= 3
  AND m.id NOT IN (
    SELECT member_id FROM
    meridianlink.applications
    WHERE created_at > NOW() - INTERVAL '2 years'
  )
NL
Plain language queries for any analyst
3x*
Faster insight generation
0
Data warehouse migrations needed
*Illustrative figure for explanation, not a guaranteed performance metric.
Agentic OS & neuro-symbolic governance

Agents that act. And explain.
Governed at every step.

The Cortava harness is the agentic OS beneath every AI agent your credit union runs: it doesn't just run them, it governs them. A neuro-symbolic architecture enforces NCUA regulations, ECOA fair lending rules, and BSA/AML requirements as immutable policy, checked at every decision step, so every agent acting on the whole member stays inside your rules.

Symbolic layer rule & constraint enforcement
NCUA regulations encoded as enforced policy rules
ECOA fair lending rules, BSA/AML requirements, HMDA data standards, and NCUA examination expectations are encoded as enforced policy rules not as prompts that can be overridden. Every agent decision is validated against this layer before and after execution. Deterministic, auditable, defensible in examination.
NCUA complianceECOA / fair lendingBSA / AML rulesPolicy engine
Bidirectional constraint enforcement
Memory & grounding layer
4-tier persistent member context
Session memory (current interaction), Episodic memory (past decisions), Semantic memory (member facts), Procedural memory (policies and workflows). Every agent remembers what matters so your AI doesn't treat every interaction as if it's the first one.
Session contextMember historyPolicy memoryRAG pipeline
Neural outputs grounded by enforced policy rules
Neural layer LLM routing & orchestration
Multi-agent orchestration across your stack
LangChain ReAct and LangGraph for agent orchestration. Multi-provider LLM routing route to the right model based on cost, latency, and task type. Supervisor, sequential, and parallel agent patterns. Config-driven via JSON no engineering rework when requirements change.
LangChain / LangGraphMulti-LLM routingConfig-driven
Every decision logged with full lineage
Governance layer audit & observability
Every decision traceable to the rule that governed it
Immutable audit trails for every AI decision. Column-level data lineage. LangFuse traces for quality scoring and model improvement. Human-in-the-loop approval queues for high-stakes decisions. Cortava doesn't just run your agents it makes every decision examinable.
Immutable audit trailColumn lineageHITL approvalDrift monitoring
The Cortava differentiator
"Every AI decision governed at every step, not just filtered at the output."
Most AI platforms add safety as a filter on the way out. Cortava enforces your regulatory constraints at every step of the agent's work: before it queries data, during execution, and before it acts. The result is AI your examiners can audit, not just AI your members can use.
Capability
Other platforms
Cortava
NCUA compliance
Configured per deployment
Encoded as enforced policy rules at every decision
Fair lending (ECOA)
Post-hoc monitoring or prompts
Constraint layer prevents non-compliant outputs structurally
Decision audit trail
Logs of inputs/outputs
Full decision graph: data source, rule, agent action
Cross-system context
Single-system or manual integration
Federated across entire credit union stack in real time
Data sovereignty
SaaS data leaves environment
Your cloud, your infrastructure, your rules
Agents

Agents that work across your whole stack.
Not one system at a time.

Deploy ours, build your own, or bring a vendor's — every agent runs under the same policy pack, permissions, and immutable audit log. Pick the agents your credit union needs first, pre-wired to Symitar, MeridianLink, Alkami, and Velera, start with a pilot, and expand as your AI program matures.

Every vendor's agent sees its own system. Your members live across all of them. So does Cortava.

Fraud
Lending
Marketing
Compliance
Finance
Fraud
★ Recommended pilot
Cross-System Fraud Detection Agent
Uses symbolic reasoning to resolve entities and relationships across Symitar accounts, Velera card activity, and MeridianLink new-account data in real time. Flags synthetic identity fraud, ACH fraud, and new account fraud with anomaly alerts before losses occur across all channels simultaneously.
Symitar + Velera + MeridianLink + Socure
ROI: Reduces fraud losses by 30 to 50 percent with near-real-time detection*
Fraud · Behavior intelligence
Behavior Clustering & Anomaly Agent
LLM-powered segmentation combining transactional telemetry, channel behavior, and lifecycle stage. Surfaces behavioral anomalies that rule-based fraud systems miss including account takeover patterns and unusual digital banking activity before it escalates.
Symitar + Digital banking + Payments
ROI: Detects fraud patterns that rule-based systems miss
Lending
★ Recommended pilot
Automated Underwriting Agent
Orchestrates the full underwriting pipeline across Empower (origination), MeridianLink (decisioning), and Symitar (member account history). Applies symbolic reasoning to derive explainable, ECOA-compliant eligibility for human decision at every step. Reduces manual review time by 60 to 70 percent while improving fair lending compliance documentation.
Empower + MeridianLink + Symitar + Credit bureaus
ROI: 60 to 70 percent faster loan decisions with ECOA compliance built in*
Collections
Propensity-to-Pay Agent
Real-time payment likelihood model using Symitar transaction data, Empower loan data, and behavioral signals. Enables early intervention with personalized outreach reducing charge-off rates through predictive rather than reactive collections strategy.
Symitar + Empower + Collections platform
ROI: 15 to 25 percent reduction in charge-off rates*
Marketing
AI-Driven Personalization Agent
Builds a unified member graph from Symitar, CRM, and digital banking behavior. Powers LLM-driven targeting for deposits, loans, and cross-sell segmented by life event, transaction pattern, and channel preference. Every offer is personalized and every interaction is logged for fair marketing compliance.
Symitar + CRM + Alkami/Q2
ROI: 89 percent higher engagement rates and 4x multi-channel member value*
Digital Experience
Next Best Product & Retention Agent
Real-time next-best-action API embedded in digital banking. Predicts attrition risk from behavioral signals and deploys retention offers before the member leaves. Surfaces the right product at the right moment in the channel where the member is already active.
Alkami/Q2 + Symitar + CRM
ROI: 25 to 35 percent reduction in member attrition risk*
Regulatory reporting
NCUA Regulatory Reporting Agent
Automates NCUA call report generation and HMDA data compilation. Extracts, reconciles, and formats required data across Symitar, GL systems, and loan platforms. Reduces report preparation from days to hours with a full audit trail showing every data source and reconciliation step.
Symitar + GL + MeridianLink + HMDA data
ROI: 80 percent reduction in report prep time with reduced examination risk*
Finance & ALCO
Financial Modeling & ALCO Agent
Federates core, lending, and GL data for stress testing, interest rate risk modeling, and financial forecasting. Automates ALCO report generation and scenario analysis. Turns what used to take your CFO team three days of manual extraction into a three-hour automated workflow with full data lineage.
Symitar + GL (FISI*CAL/Prologue) + Empower
ROI: ALCO prep from 3 days to 3 hours*
*ROI figures are illustrative estimates for explanation, not guaranteed results.
Every agent runs on the Cortava core platform — always on, included in every deployment.
You don't assemble infrastructure or pick these as agents. The full Cortava harness ships with every deployment; you simply choose which agents run on top. Governance & lineage is part of the platform — NCUA, ECOA, and BSA/AML rules enforced at every data access and decision point, with full lineage and an immutable audit trail.
Federation harness
Queries your stack in place — no data movement
Semantic layer
Plain-language meaning across every system
Agentic OS
Neuro-symbolic governance & orchestration
Governance & lineage
Policy enforced & audit-ready by design
Agents are pluggable, too. Start with these pre-built agents and, over time, add your own or best-of-breed third-party agents. Because Cortava federates the systems it connects to, it is designed to orchestrate the agents those systems expose, such as a Q2 agent today or a Symitar or Fiserv agent tomorrow, so the agents you pick from your vendors can work the same request together: a Q2 agent can draw on the lending intelligence running on Cortava, and a lending agent can call back into Q2 for the data it owns. Whoever builds them, they run on the same federated, governed harness, so every piece of member data they touch stays permissioned and logged by Cortava.
Your pilot selection
No agents selected yet — tap any card above to build your pilot.
Deployment models

Your environment. Your rules.
Your deployment choice.

Cortava is not a SaaS-only product. Credit unions have strict requirements around data residency, NCUA third-party oversight, and board-level data governance. Every model delivers the full Cortava core platform — you select the agents you want deployed in whichever environment fits your institution.

Dedicated Cloud Tenant
Annual SaaS · Fastest deploy
Your isolated cloud instance on AWS or Azure. Data never comingles with other institutions. Fastest time to value first agents live in 4–8 weeks. Zero upfront infrastructure investment.
Private Cloud Install
Annual license · Your AWS/Azure
Cortava installs into your own AWS, Azure, or GCP account. Your data, your encryption keys, your access controls. Full compliance posture ownership. Preferred by $1B+ institutions.
On-Premises Install
Annual or perpetual license · Your data center
Deploys on Kubernetes in your own data center. Zero data egress. Air-gap capable. Perpetual license option available. For institutions with board-mandated data residency requirements.
CUSO Shared Service
Via your CUSO partner
Cortava delivered as a shared service through your existing CUSO relationship (Velera, CO-OP, CU*Answers). Leverages trust relationships you already have.
Data sovereignty promise
Your members' data never leaves your environment.
NCUA third-party oversight requirements and your board's data governance policy demand it. Cortava was designed from day one for credit union data sovereignty, not retrofitted to comply with it.
Your data is never used to train shared or third-party models. Agents surface evidence for your team to act on — they don't make autonomous lending or adverse-action decisions — and every output traces back to its source records, so a denial is always defensible to both a member and an examiner.
  • Member PII never leaves your environment in any deployment model
  • All data processed within your cloud account or data center
  • Encryption keys remain under your control
  • Full audit log of every data access by every agent
  • NCUA third-party oversight documentation provided
  • Board-level data governance reporting built in
Get started

Ready to see Cortava
on your Symitar environment?

We will show you your selected agents live on your core banking environment (Symitar, Fiserv, or FIS). No slide decks, just working agents.

Request Early Access
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