#### [The Revenue Cycle Is Ready For AI… Are You?](/content/sift-perspectives/the-revenue-cycle-is-ready-for-ai/index.html)

AI can drive payments and cut waste, but where do you start? Download our roadmap for healthcare executives, AI for the Healthcare Revenue Cycle, a free and unbiased implementation guide.

[November 9, 2021](/content/sift-perspectives/the-revenue-cycle-is-ready-for-ai/index.html)

#### [Rules Are Too Rigid For The Revenue Cycle](/content/sift-perspectives/rules-are-too-rigid-for-the-revenue-cycle/index.html)

Automation (RPA) makes the revenue cycle more efficient — saving time and decreasing errors. While this is an improvement for health systems and hospitals, RPA efficiencies are one-dimensional. Fully optimizing the revenue cycle and getting the most out of AI...

[November 3, 2021](/content/sift-perspectives/rules-are-too-rigid-for-the-revenue-cycle/index.html)

#### [Machine Learning In Action – 5 Revenue Cycle Examples](/content/sift-perspectives/5-examples-of-machine-learning-in-the-revenue-cycle/index.html)

Integrating Machine Learning adds a decision engine to the revenue cycle, enabling you to determine the next best action that should be taken with a claim, denial, patient account, payer contract, or vendor. Can't envision it? Here are five examples...

[June 15, 2021](/content/sift-perspectives/5-examples-of-machine-learning-in-the-revenue-cycle/index.html)

## Justin Nicols

Founder & CEO

A leading industry expert in data analytics technology and has an extensive background in corporate finance and investment banking. Prior to founding Sift, Justin served on the executive team of a venture-backed ad technology company and an e-commerce technology company.