Partnership Guidelines
AAPL develops strategic partnerships with organizations that have already established a relationship with the association through active membership and participation.
When evaluating whether a potential partnership is a fit, we look at it in context of the partnering company, our own initiatives, and service to our membership and the industry. Here are some of the key priorities:
Strategic Fit. Does the partnership address a challenge facing private lenders? Is there benefit beyond promotion of the company’s products or services?
Industry Credibility. Does the organization have ongoing involvement in private lending or closely related sectors?
Operational Maturity. Does the organization have an active customer base and established operating history?
Partnership Mindset. What is the organization’s objective in partnering?
Requests centered primarily on product demonstrations, lead generation, sales opportunities, or marketing exposure are generally more appropriate for AAPL’s sponsorship and advertising programs; please reach out to sales@aaplonline.com for more information.
Application
Please send your application with the information below to contact@aaplonline.com. Applications may be submitted as a Microsoft Word or PDF document.
- Company name and website
- Primary contact and title
- Company overview and year founded
- Number of full-time, direct employees
- Number of active paying customers
- Primary industries served
- Description of your current involvement in private lending
- Description of the proposed partnership, including the specific value to AAPL members.
Examples: Member-exclusive resources or service discounts, industry research/benchmark reports, fraud prevention initiatives, or other benefits that address a demonstrated industry need.
Technology companies should also provide sufficient information for AAPL to understand the maturity, capabilities, and intended use of the product.
- Is the solution proprietary, built on third-party platforms or foundation models, or a combination of both? If third-party AI models or platforms are used, please describe their role within the product.
- A summary of how the product is validated, including any available performance metrics or evaluation methods appropriate to the technology.
Examples: accuracy, confidence measures, precision/recall, false positive/false negative rates, benchmark testing, or other relevant indicators. - Known limitations and appropriate use cases, including situations where human review or oversight is recommended.
