REGULATED INDUSTRIES

Move fast without losing the paper trail.

Move fast without losing the paper trail.

Move fast without losing the paper trail.

For banking, insurance, healthcare, and payments teams modernizing legacy systems and adopting AI coding tools, where every change needs a record an examiner can review. CodeIntent® builds a deterministic, source-derived account of what changed, what was preserved, and what still needs a human signature, before anything is accepted into production.

For banking, insurance, healthcare, and payments teams modernizing legacy systems and adopting AI coding tools, where every change needs a record an examiner can review. CodeIntent® builds a deterministic, source-derived account of what changed, what was preserved, and what still needs a human signature, before anything is accepted into production.

For banking, insurance, healthcare, and payments teams modernizing legacy systems and adopting AI coding tools, where every change needs a record an examiner can review. CodeIntent® builds a deterministic, source-derived account of what changed, what was preserved, and what still needs a human signature, before anything is accepted into production.

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BANKING · INSURANCE · HEALTHCARE · PAYMENTS, GOVERNED THE SAME WAY, EVERY ARTIFACT DISPOSITIONED.

BUILT FOR COMMERCIAL ASSURANCE

The same evidence model as our federal work, without the air gap.

The same evidence model as our federal work, without the air gap.

The same evidence model as our federal work, without the air gap.

Examiner-ready, not classified.

For teams that need a defensible record before a change is accepted, without the air-gapped deployment federal work requires.

One disposition record, any regulator.

Banking, insurance, healthcare, and payments each answer to a different examiner. What changed, what was preserved, and what needs review stays traceable underneath, however the audit is framed.

WORKED EXAMPLE

Your AI tools propose a change. Your examiner will ask about it later. CodeIntent already has the answer.

Your AI tools propose a change. Your examiner will ask about it later. CodeIntent already has the answer.

Your AI tools propose a change. Your examiner will ask about it later. CodeIntent already has the answer.

A developer’s AI coding assistant proposes removing dormant-account interest suppression.

InterestAccrualService.java, lines 44 to 47: remove dormant-account accrual suppression.

R-CTRL-006, dormant accounts do not accrue daily interest, bound at 3 sites.

Not behavior-preserving.

R-CTRL-006 — dormant accounts do not accrue daily interest, bound at 3 sites.

Verdict.

Not behavior-preserving.

Resolution path.

Revise the code, or formally govern the rule change. Flagged until then.

LLMs propose. CodeIntent verifies. This runs live today via MCP, from the tools your developers already use.

A HEAD-TO-HEAD

85% effective coverage in hours. Not roughly 40% after months.

85% effective coverage in hours. Not roughly 40% after months.

85% effective coverage in hours. Not roughly 40% after months.

In a competitive bake-off against a generic AI coding assistant, for a major fintech provider. The output was clean, idiomatic Java that matched the client’s own style, with no COBOL-shaped leakage carried into the new code.

WHERE LLMS FIT

LLMs propose. Holonic verifies.

LLMs propose. Holonic verifies.

LLMs propose. Holonic verifies.

LLMS DO

Generate candidate code quickly

Refactor obvious paths

Propose architecture changes

Power agents and copilots

CODEINTENT DOES

Supplies deterministic semantic context

Preserves source-to-target traceability

Verifies preservation and change decisions

Creates an audit trail of what changed and why

THE DISTINCTION WE KEEP

Proof of accounting. Evidence of behavior.

Proof of accounting. Evidence of behavior.

Proof of accounting. Evidence of behavior.

We can account for the entire source codebase: every artifact dispositioned, zero unexplained. We also provide source-derived evidence that the modernized system behaves as intended: we demonstrate equivalence. When something can’t be verified, CodeIntent fails explicitly, and tells you exactly where to look, instead of passing silently. Serious examiners don’t expect a system that’s quiet about its limits. They expect one that names them.

See the full model →

· See it in CodeIntent Studio →

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See what a defensible record looks like, on a representative system.

See what a defensible record looks like, on a representative system.

See what a defensible record looks like, on a representative system.

Schedule a Demo →

HOLONIC

The deterministic evidence layer underneath legacy modernization and the agentic enterprise.

PRODUCT

CodeIntent® Studio

How CodeIntent® Works

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