Alkami vs Narmi (2026)
Both sell digital banking to US community banks and credit unions, so the split that matters is what each platform's AI is for. Alkami's models work on the account holder base: predictive tags flag who is likely to take a loan, grow deposits or leave, and fraud tools score sessions with behavioral biometrics. Gate City Bank reports a 63 times return on Alkami's data and marketing solution and, through partner BioCatch, a 97 percent account takeover capture rate. Narmi's AI works for staff. An assistant drafts and translates secure message replies, DecisionAssist turns identity checks into a plain recommendation for each account opening review, and every agentic workflow waits for staff approval, at no added cost. Business customers can also point Claude or ChatGPT at their accounts through a read only connection. Narmi names its model, Anthropic's Claude on AWS Bedrock, while Alkami names none for its predictive models. Neither publishes fairness testing for models that shape who sees an offer or how an applicant is assessed, and neither states where account holder data is hosted.
- Growing deposits and loans from existing account holders is the priority. Alkami's predictive AI tags account holders by likely loan adoption, deposit growth and attrition so campaigns reach the right people.
- Account takeover losses are mounting. Gate City Bank used BioCatch through Alkami's partner ecosystem to catch 97 percent of account takeover attempts and deter about $650,000 in losses over six months.
- The board wants a named peer with hard numbers. Gate City Bank reports 61 percent more monthly digital banking logins and a 63 times return on data driven marketing after moving to Alkami.
- Business account holders need treasury services online. Gate City Bank grew its automated clearing house origination customers by 47.7 percent on Alkami without adding staff.
- Staff time on secure messages is the bottleneck. Narmi's assistant summarizes, drafts and translates replies inside the platform, and First Citizens' Federal Credit Union uses it to answer members in Portuguese and Spanish.
- Examiners will ask who approves what the AI does. Every Narmi agentic workflow waits for staff approval before it acts and keeps a full audit trail.
- Business clients already work with Claude or ChatGPT. Narmi's read only connection lets them analyze their balances and transactions with their own assistant, without exposing credentials or moving money.
- The AI line in the budget is zero. Narmi AI is included for institutions on the platform at no additional cost.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Alkami and Narmi are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Alkami | Narmi | |
|---|---|---|
| Primary category | Customer & Banking Agents | Customer & Banking Agents |
| Founded | Not published | Not published |
| Headquarters | Plano, Texas, United States | New York, New York |
| Website | www.alkami.com | www.narmi.com |
Side by Side
Select any grade to read the note behind it.
| Axis | A Alkami |
N Narmi |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
The short version of each
Alkami
Alkami sells regional and community banks and credit unions a digital sales and service platform built around predicting account holder needs. It combines retail and business digital banking, MANTL account opening, and a data and marketing solution whose predictive AI tags account holders by likely loan adoption, deposit growth and attrition. Fraud protection layers behavioral biometrics, anomaly detection and mule account monitoring across the platform, with partners such as BioCatch. Gate City Bank, on a Fiserv DNA core, is its most detailed public reference. The company is based in Plano, Texas.
Source: AI FinTech Index, 2026
Narmi
Narmi sells a digital banking platform to community banks and credit unions, covering consumer and business banking, account opening, FedNow instant payments, lending and a staff back office, with integrations into cores such as Corelation Keystone, Symitar and Fiserv DNA. Narmi AI comes at no additional cost and runs on Anthropic's Claude through AWS Bedrock. In the AI FinTech Index, Narmi documents its oversight more fully of the pair: staff approve every AI recommendation before it is acted on. First Citizens' Federal Credit Union and Grasshopper Bank are customers.
Source: AI FinTech Index, 2026
Common questions
Where does each platform's AI act on account holders?
Alkami's acts most directly: predictive tags shape which account holders a campaign targets, and fraud tools judge sessions and payments, with no published threshold or review step for a flagged session. Narmi's AI recommends rather than decides, in account opening reviews and message drafting, and staff approve before any action is taken. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 13, 2026. No vendor pays for placement.
Can a bank find out whose models it is buying?
From Narmi, yes for the staff features: Anthropic's Claude through AWS Bedrock, with providers contractually barred from training on institution data. Alkami names no provider for its predictive models; the one supplier visible in its fraud stack is BioCatch, named in the Gate City Bank case. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 13, 2026. No vendor pays for placement.
Does either test its models for fairness?
Neither publishes fairness testing. For Alkami the exposure is in targeting, since loan cross sell models decide who sees credit offers. For Narmi it is DecisionAssist, which shapes account opening reviews from identity verification data; staff approval sits in front of it, but no demographic evaluation sits behind it. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 13, 2026. No vendor pays for placement.
Which one has proof from a named customer?
Alkami. Gate City Bank's September 2026 case study puts numbers on marketing return, logins and fraud losses deterred. Narmi's named customers describe how they use the AI, such as First Citizens' Federal Credit Union replying to members in their own language, without a measured result. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 13, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Fraud Detection & Transaction Risk page.
Gate City Bank's figures come from Alkami's announcement of the case study on 29 September 2026, and the account takeover result rests on BioCatch, a partner in Alkami's ecosystem. Narmi's model and training terms come from its own Narmi AI page.