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Credit Booster AI adds score forecasting to credit repair app

Jul. 16, 2026
By AI, Created 14:18 UTC, Jul 16, 2026, AGP -

Credit Booster AI launched predictive score coaching that estimates the credit score impact of an action before a user takes it, after connecting Experian, Equifax and TransUnion reports. The update is designed to help consumers focus on the moves most likely to improve their score and avoid guesswork in credit repair.

Why it matters: - Credit repair consumers often make expensive moves without knowing whether those actions will help or hurt their score. - The new forecasting feature aims to show the likely score impact before a user pays down debt, disputes an error or applies for new credit. - The app is built for people with scores in the 500s and above, including users who have been underserved by traditional credit repair firms.

What happened: - Credit Booster AI launched predictive score coaching inside its iPhone and Android app on July 16, 2026. - The app now estimates the point impact of a decision before the user acts, after connecting Experian, Equifax and TransUnion reports. - The feature covers common credit moves such as choosing which card to pay down first, which error to challenge and how long to wait before applying for new credit. - The company said more than 16,000 people used the app in the past month, including more than 11,000 new users.

The details: - Credit Booster AI reads all three bureau reports and uses AI to flag items that appear inaccurate, outdated or unverifiable. - The app drafts removal letters that cite the relevant sections of the Fair Credit Reporting Act. - The new forecasting tool assigns a projected point impact up front so users can prioritize the changes most likely to raise a score. - The app also includes automated removal letter generation and tracking, real-time score alerts and a personalized month-by-month plan. - Credit Booster AI offers a seven-day free trial. - The app is available on the App Store and Google Play. - More information is available at the company's announcement.

Between the lines: - Founder Alexander Katsman is positioning the product as a cheaper, more transparent alternative to traditional credit repair services. - Katsman said the app is meant to catch errors a human eye misses and remove some of the uncertainty around credit repair. - Katsman said accurate negative information cannot be erased and that guaranteed 200-point gains are false promises. - The company said users with real errors to fix typically see 30 to 60 points over one to three months. - Credit Booster AI is also leaning on Katsman's background in credit repair, where he said he ran a credit repair company for 17 years and worked with 28,000 clients. - The company said more than 100 million Americans carry a credit score under 700, and that the gap between good and fair credit on a 30-year mortgage can exceed $100,000 in added interest.

What's next: - Credit Booster AI will likely use the new coaching feature to deepen engagement as users test which credit actions are worth taking. - The company appears to be betting that clearer forecasting will help convert more users who want do-it-yourself credit repair with guidance. - Continued growth will depend on whether the app's projected score impacts match users' real-world results.

The bottom line: - Credit Booster AI is trying to turn credit repair from a waiting game into a decision tool by predicting the impact of each move before users make it.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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