Our suite of AI-powered tools accelerate and simplify 1:1 personalization at scale to convert your key accounts. With Userled AI, personalization efforts for account-based initiatives that were previously impossible to achieve can now be automated and performed reliably in minutes, enabling marketing and sales teams to go to market, prove trust and stand out from their competition more efficiently and confidently than ever before.
From the start, Userled has been on a mission to empower go-to-market teams to convert their key accounts with 1:1 personalization at scale. As we pioneer the use of AI in generative marketing, we are taking concerns around privacy, security, transparency, and accuracy very seriously.
That’s why we’ve developed our AI principles to ensure that we build Userled AI in a trustworthy and responsible manner — both for our team and the customers we serve today and in the future.
Our AI principles outline how we plan to steward the safe and effective deployment of AI at Userled. We’ve established an internal committee of leaders from our product, engineering, security, compliance, and legal teams responsible to ensure all new AI projects adhere to them, from conception to launch — and beyond.
Userled's AI principles are:
1. Do no harm
All usage of AI at Userled must first and foremost seek to do no harm to its customers or to Userled. Reasonable attempts should be made to predict any and all potential cases of harm posed by a project.
2. Security and privacy by design
Every AI project and ongoing effort must incorporate security and privacy by design from day 0 and with every substantive change. Evidence must be shown.
3. Impact of incorrectness
Projects must commit to and have practical, achievable plans to assess the likelihoods and impacts of incorrectness and design human-in-the-loop review processes where necessary.
4. Explainability and transparency
Reasonable efforts are taken to ensure the explainability of results and provide transparency into the process by which they were derived.
5. Data control and risk
A clear understanding of the data being used by AI is established and guardrails are in place to control the scope of data access. A plan is established for the risks posed by such access as well as the resulting outputs.
These principles have been developed in line with the NIST AI Risk Management Framework and seek to move us iteratively toward further alignment with the framework and its intentions.
We can’t wait for you to get started with Userled AI. For any further questions, please reach out to trust@userled.io.