A world where every credit risk decision is made with rigor, executed with discipline, and grounded in the right context.
We are codifying decades of credit review craft into AI-native tools, shared standards, and a community of practitioners — so that the judgment built over careers is preserved, scaled, and put to work in defense of every loan portfolio.
Every loan reviewed. Human judgment where it matters. These beliefs now run as a working system — set out in a vendor-neutral standard and written directly for the people who lead review functions.
Principles need instruments.
We built Argus — a review agent — to put these beliefs into practice. Deployed inside the bank’s own environment, it reads every loan file, drafts the routine reviews, picks out the deals that need a person, and flags anomalies as they appear — all under the institution’s own credit policy. The agent produces the work; a reviewer owns every conclusion.
Explore Argus →The conversation is already happening.
Senior credit practitioners — reviewers, examiners, portfolio managers — are sharing what they know. If this manifesto resonates, we’d like to meet you. Applications are reviewed personally.
Apply to join →Reviewing With Machines.
AI in credit review, taught for practitioners — what the machine is, where it fits, how it fails, and who stays accountable. Free and unwalled; you leave with an exhibit you can take to your own governance committee.
Start the training →Signed by the founding practitioners — senior leaders who have run credit review functions at major U.S. institutions, owned rating conclusions, and defended them to examiners. The practice speaks as a team; signatories are known to the community.
To become a member, write to manifesto@creditboard.org, apply to our community, or read about The Credit Board