Jaxon.AI

AI That Enforces Your Rules

[Jaxon.AI @trustjaxon]

Welcome to the Jaxon AI feed!

Jaxon creates productivity tools for data scientists. We automate bottlenecks around human-intensive data prep and system design that enable models to go from hypothesis to production-ready in days versus months.

Learn more: https://t.co/LkCx0D6NlB

[Jaxon.AI @trustjaxon]

In April 2026, US banking agencies put generative and agentic AI outside the scope of model risk guidance. Banks asked for this. It also removed that guidance as the answer you could point to in an exam. Discretion is only defensible if you can show it.
#jaxonai #aicompliance

[Jaxon.AI @trustjaxon]

AI-assisted claims decisions fall into 3 states:
Governed and provable.
Governed, but hard to prove.
Ungoverned.
68% of insurers are in the middle. The policy exists, but proving it was followed is another matter.
Jaxon closes that gap.

#jaxonai #trustworthyai #aicompliance

[Jaxon.AI @trustjaxon]

PASS. FAIL. UNKNOWN: not enough to decide.
The third exists because a model that admits it doesn’t know can score worse than one that answers confidently and wrongly.
With DSAIL®, if the facts needed to evaluate a rule aren’t there, the answer is UNKNOWN.
#jaxonai #aigovernance

[Jaxon.AI @trustjaxon]

FINRA's 2026 report says its rules are technology-neutral: supervision and recordkeeping apply whether a person or a model did the work. A log proves the text existed. It doesn’t prove the rules were followed.

#jaxonai #trustworthyai #aicompliance

[Jaxon.AI @trustjaxon]

An AI claims agent approves a claim. Give it the same claim again, and it denies it. Princeton tracked 14 models over a year+. Accuracy climbed. Reliability did not. That’s where #jaxonai comes in: adding rule-based verification outside the model.

#trustworthyai #aigovernance

[Jaxon.AI @trustjaxon]

Among only 7% of firms piloting AI are confident they could pass a governance review. For those with fully integrated AI? 74%.

Deploying AI is one thing. Proving it follows the rules is another.

That’s where Jaxon closes the gap.

#jaxonai #trustworthyai #aigovernance

[Jaxon.AI @trustjaxon]

Your healthcare AI stack has models, retrieval, orchestration, and access control.
Ask any of it whether a given output is admissible as a record.
Silence.
Jaxon CEO Scott Cohen on that gap at @bhtyjournal's ConV2X. Sept 24-25, Cambridge, MA.
https://t.co/fSC0fDDNzd

#conv2x

[Jaxon.AI @trustjaxon]

If your AI-assisted underwriting can't explain its decisions, you're inviting market conduct risk. DSAIL® checks every output against your policy language. PASS, FAIL, or UNKNOWN, always with a trace.

[Jaxon.AI @trustjaxon]

RAG is sold as the hallucination fix. Peer-reviewed work: it still fails, from bad retrieval and from answers the source doesn't support.

Grounding lowers how often it invents. It doesn't confirm the answer.

RAG improves the odds. Jaxon settles them.

#jaxonai

[Jaxon.AI @trustjaxon]

You're never going to get a model that can't be wrong. A peer-reviewed proof shows that no amount of training or prompting closes the gap. So stop trying to fix the guesser. Put a check around it that doesn't guess and that returns the same verdict every time. That check is Jaxon

[Jaxon.AI @trustjaxon]

The NAIC Model Bulletin, now in 25 states and DC, tells examiners how to read rate and discrimination law when a model made the call.

DSAIL® checks every AI-recommended rate against your filed plan before it reaches an underwriter. PASS, FAIL, or UNKNOWN, always traceable.

[Jaxon.AI @trustjaxon]

The makers' own research on why models bluff: saying "I don't know" scores worse than a confident wrong answer, so models learn to sound sure.

And checking an answer is easier than writing one. Two different jobs.

Jaxon does the second, the same way every time.

#jaxonai

[Jaxon.AI @trustjaxon]

A WIRED fact-checker gave ChatGPT, Claude, Gemini and Grok a real fact-checking test. Each model explained how it would verify the facts. None did.

LLMs generate. Verification is a separate job for a separate system, one built to return pass or fail and prove it.

#jaxonai

[Jaxon.AI @trustjaxon]

An AI-assisted denial gets challenged two years later, against forms you've since refiled.

DSAIL® checks it against a versioned ruleset. Prove which rules applied that day. Re-run it, same answer.

Every version of your rules stays answerable. Not just the current one.

[Jaxon.AI @trustjaxon]

The next jump in #AI reliability won't come from a bigger model. It's the layer around it.

Finance study: building defined policy into how an AI agent reasoned made fewer errors than the agent alone. Same model, better rules.

Jaxon is that layer, on any model you run.
#jaxonai

[Jaxon.AI @trustjaxon]

If your plan to catch AI mistakes is another AI: model-judges are biased, and the writer and the checker end up wrong about the same things.

Jaxon checks against your rules and shows which one. "Another model agreed" fails an #audit.

#jaxonai

[Jaxon.AI @trustjaxon]

Last month a judge tossed a case and fined 4 lawyers over AI-fabricated citations. A Big Four firm pulled an AI report full of fabrications.

Not careless users. A category error: models generate, they don't verify.

Jaxon returns PASS, FAIL or UNKNOWN, with proof.

#jaxonai

[Jaxon.AI @trustjaxon]

Regulators stopped asking if banks use AI. Now they ask if banks can prove what the AI did.

"The model is usually right" is not an answer a supervisor accepts. A record is.

Jaxon returns PASS, FAIL or UNKNOWN for every output, with an auditable trace.

#jaxonai

[Jaxon.AI @trustjaxon]

One estimate puts the average AI error at $4.4M.

The risk is real: a firm lost a ~4M euro contract over AI-fabricated tax rulings. Models generate fluent text. Generating is not verifying.

Jaxon proves every output PASS, FAIL or UNKNOWN, with an auditable trace.

#jaxonai

[Jaxon.AI @trustjaxon]

Milestone: Jaxon's DSAIL® is assessed "Awardable" in the CDAO's Tradewinds Solutions Marketplace, giving Department of War customers a direct path to procure it.

Verifiable AI for the mission: every output returns PASS, FAIL or UNKNOWN, with an auditable trace.

#jaxonai