Silent loss
Records fail validation and disappear from the batch. Nobody sees it until a downstream count does not reconcile, weeks later.
Flagship build · IntellaGrow
PresidioFlow repairs the malformed records that quietly break regulated batch data exchange, and cryptographically proves it did. The result is auditor-ready, offline-verifiable evidence, produced inside your own cloud account. It is validated in testing, and designed and built by IntellaGrow.
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See it in 60 seconds
Watch the overview, then put a number on what malformed records are quietly costing you today.
The problem
In regulated batch exchange, claims, eligibility, clinical messages, a single bad field can sideline a record. Most pipelines either reject it silently or "fix" it with no record of what changed. When an auditor asks what happened, there is nothing to show.
Records fail validation and disappear from the batch. Nobody sees it until a downstream count does not reconcile, weeks later.
Where records do get repaired, the change is not captured. You cannot reconstruct what the original looked like or who decided the fix was safe.
Processing-integrity controls get attested with screenshots and spreadsheets, not verifiable evidence that ties each repair to its before-and-after.
Your exchange platform moves data well, but the integrity-and-evidence layer for the messy 5 percent is something you are expected to bolt on yourself.
How it works
PresidioFlow watches its own pipeline. Every record is classified, repaired where it can be done deterministically, escalated where it cannot, and signed either way, so nothing leaves without an evidence trail.
Record repair under governance
What the number proves is not the number. It is that the split between what a machine may decide alone and what a person must see can be designed deliberately, and that the evidence for both is worth writing from the start rather than reconstructing later.
Records arrive from the batch and are parsed against their format spec. Malformed ones are flagged and routed, not discarded.
Rule-based fixes resolve a measured 48 percent of malformed records with no model in the loop: repeatable, explainable, no hallucinated values.
48% auto-resolvedRecords that cannot be safely auto-fixed are escalated with full context for a reviewer or a skill chain. They are never silently dropped.
Escalated, not lostEach repair is captured with its before/after and cryptographically signed, so the record of what changed stands on its own.
Evidence is bundled into an audit pack a third party can verify without access to your systems or to PresidioFlow.
An observability view gives stakeholders a live read on throughput, repairs, and escalations.
What it does
Built for the message and document standards that carry regulated data between payers, providers, and counterparties.
Every action produces signed, before-and-after evidence: the difference between "we fixed it" and being able to show exactly what changed.
Deploys inside your cloud boundary, AWS, Azure, or GCP. Your data does not leave your environment to be cleaned or signed.
The measured Tier-1 result comes from the test corpus. We confirm coverage against your own formats before we scope the work.
Evidence & controls
PresidioFlow does not certify you, no honest tool can. It produces the verifiable evidence that makes a processing-integrity story easy to defend.
The evidence bundle can be checked by a third party with no access to your systems, your cloud, or PresidioFlow itself. Signatures verify, before/after reconstructs, the chain holds.
Mapped to, and verifiable against, not auto-certified. PresidioFlow gives auditors something to verify; it does not issue attestations.
Where it stands today
of malformed records auto-resolved by deterministic Tier-1 repair, measured on the test corpus, with no LLM credential wired in.
unit tests plus end-to-end tests passing as of the last measured run. The pipeline behavior is exercised, not assumed.
in your cloud. PresidioFlow deploys inside your own cloud account, AWS, Azure, or GCP, so regulated data never leaves your boundary.
Validated in testing, with enterprise adoption underway.
What we build
We design and build systems for regulated environments where being right is not enough, you have to be able to prove it. PresidioFlow is our flagship example: a real, tested, deployable pipeline, not a slide.
The hard part is not moving data, it is proving what happened to it. We build the evidence in from the first commit.
For regulated work, repeatable beats clever. We reach for rules and proofs before models, and we are explicit about which is doing the work.
We tell you what is tested, what is in production, and what is still being built. PresidioFlow's 48 percent is a measured 48 percent, not a rounded-up one.
Let's walk through PresidioFlow on your formats and your controls, and talk about what IntellaGrow could build for you.
If AI is not the right tool for your problem, you will hear that from us.
Just have a question? Call, text, chat, or send a note.
PresidioFlow is validated in testing. It produces evidence mapped to, and offline-verifiable against, SOC 2 (Processing Integrity), HIPAA (Technical Safeguards), and ISO 27001 (Annex A) controls; it does not certify, attest, or guarantee compliance. The 48 percent Tier-1 auto-resolution figure is measured on a fixed test corpus with no LLM credential configured and will vary by data.