NayaOne and Multimodal announced a strategic partnership to help banks and insurers validate AI workflows more quickly, securely, and credibly, and turn AI experimentation into tangible enterprise outcomes.
As regulatory pressure and adoption timelines accelerate, most financial institutions face a widening gap: how can they evaluate AI vendors without compromising governance? Or test multi-agent workflows without risking production environments?
Together, NayaOne and Multimodal offer a secure, repeatable framework to do just that: validate agentic AI in a secure, controlled environment, with little to no risk.
A Shared Vision for Real-World AI Testing
Banks and insurers can’t afford to take AI on trust. They need to validate how AI systems behave under actual constraints – safely and securely. This means using real workflows, realistic synthetic data, and built-in controls for compliance and oversight.
That’s where the partnership starts.
NayaOne operates the leading Vendor Delivery Infrastructure for financial institutions; a secure, controlled environment that enables enterprises to test fintech solutions and run structured PoCs without operational or security risk.
By integrating Multimodal’s AgentFlow platform into that ecosystem, NayaOne customers can now design, run, and evaluate AI agent workflows with auditability, oversight, and measurable results.
“AI isn't another software buy. It learns, it adapts, and it behaves differently depending on how you use it. You can't just take it on trust - you need to see how it acts in the real world before you roll it out. That's what NayaOne exists for. Multimodal's AgentFlow fits straight into that."
Both companies are aligned around a critical industry need: AI validation that satisfies compliance standards, gives confidence to operations, and scales beyond demos into deployment. That means structured tests, explainable decisions, and a feedback loop between systems and human supervisors.
How the Collaboration Works
The integration allows financial institutions using NayaOne to run agentic AI workflows from Multimodal directly within NayaOne’s sandboxed testing environments.
Through the combined platform, customers can:
- Evaluate multiple AI vendors side-by-side
- Test full multi-agent workflows, not just narrow functions
- Ingest synthetic data tailored to each use case
- Audit each step with confidence scores, traceability, and cost-per-action logs
- Coordinate across compliance, product, and engineering for integrated review
The core of this partnership is AgentFlow’s API-first, model-agnostic architecture – designed for finance and insurance. Teams can configure agents for document extraction, risk decisions, customer interactions, and policy generation, then run them in structured, observable environments that reflect real-world operational conditions.
What This Means for Financial Institutions
This partnership isn’t theoretical, it’s operational. By embedding AgentFlow into NayaOne’s platform, enterprises can:
- Run PoCs in days, not quarters
- Validate workflows like underwriting, claims adjudication, KYC, and fraud detection
- Generate evidence, not anecdotes, for AI value
- De-risk AI adoption without slowing down innovation
- Establish a repeatable pipeline from proof-of-concept to validation
Here’s how the combined solution solves common AI adoption roadblocks:
| Problem | What the Partnership Enables |
|---|---|
| Demo doesn't match production | Run agents in secure, real-world testing environments |
| Lack of governance and controls | Trace every decision, with full audit and oversight |
| Unclear ROI | Measure per-execution cost, confidence, and time saved |
| Compliance resistance | Involve risk teams early with structure validations |
| Fragmented vendor ecosystem | Benchmark tools in one unified test infrastructure |
What's Next
Joint capabilities are now available for early-access participants via the NayaOne platform, with tailored AgentFlow demos available for finance and insurance use cases.
Proof-of-concepts are underway with Tier 1 banks and insurers, focused on multi-agent workflows for:
- Underwriting and adjudication
- KYC and Fraud Detection
- Credit Risk Evaluation
NayaOne and Multimodal will also co-host a virtual session this November to walk through validation patterns and early results.
Multimodal builds agentic AI for regulated industries. AgentFlow is our proprietary for making, monitoring, and managing AI workflows that perform complex work safely, securely, and at scale.
NayaOne is the leading vendor delivery infrastructure helping global banks, insurers, and regulators accelerate AI adoption and digital innovation safely and at scale.
