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
Operational insurance for regulated batch data pipelines.
PresidioFlow repairs the malformed records that quietly break healthcare and financial data exchange, and cryptographically proves it did. The result is auditor-ready, offline-verifiable evidence, produced inside your own cloud account. It is a working prototype, designed and built by IntellaGrow.
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See it in 60 seconds
A one-minute overview of PresidioFlow.
Watch the overview, then put a number on what malformed records are quietly costing you today.
The problem
Malformed records don't announce themselves. They just get dropped.
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.
Unprovable fixes
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.
Audit on faith
Processing-integrity controls get attested with screenshots and spreadsheets, not verifiable evidence that ties each repair to its before-and-after.
Platforms don't ship this
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
An event-driven pipeline that triages, repairs, and proves.
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.
- 01
Ingest & classify
Records arrive from the batch and are parsed against their format spec. Malformed ones are flagged and routed, not discarded.
- 02
Tier-1 deterministic repair
Rule-based fixes resolve a measured 48 percent of malformed records with no model in the loop: repeatable, explainable, no hallucinated values.
48% auto-resolved - 03
Triage the rest
Records 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 lost - 04
Sign the evidence
Each repair is captured with its before/after and signed, including post-quantum signatures, so the record of what changed stands on its own.
- 05
Offline-verifiable pack
Evidence is bundled into an audit pack a third party can verify without access to your systems or to PresidioFlow.
- 06
Watch it live
An observability dashboard gives stakeholders a clear, real-time view of throughput, repairs, escalations, and SLA posture.
What it does
The integrity-and-evidence layer your platform doesn't ship.
Repairs across the formats that matter
Built for the message and document standards that carry regulated data between payers, providers, and counterparties.
Proof, not promises
Every action produces signed, before-and-after evidence: the difference between "we fixed it" and being able to show exactly what changed.
Runs in your own cloud account
Deploys inside your cloud boundary, AWS, Azure, or GCP. Your data does not leave your environment to be cleaned or signed.
Formats handled
HL7 v2 · clinical FHIR R4 · clinical X12 837 / 835 · claims & remittance EDI 850 / 810 / 856 · orders & invoices Legal-XML JSON
Evidence & controls
Evidence mapped to the controls auditors actually test.
PresidioFlow does not certify you, no honest tool can. It produces the verifiable evidence that makes a processing-integrity story easy to defend.
- SOC 2 Evidence mapped to the Processing Integrity criteria: completeness, validity, and accuracy of records through the pipeline.
- HIPAA Mapped to Technical Safeguards: integrity controls and audit trail over electronic protected health information.
- ISO 27001 Mapped to Annex A controls covering logging, integrity, and evidence of operation.
Offline-verifiable
An audit pack that stands on its own
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
Honest numbers from a working prototype.
48%
of malformed records auto-resolved by deterministic Tier-1 repair, measured on the test corpus, with no LLM credential wired in.
1,083+14
unit tests plus end-to-end tests passing. The pipeline behavior is exercised, not assumed.
100%
in your cloud. PresidioFlow deploys inside your own cloud account, AWS, Azure, or GCP, so regulated data never leaves your boundary.
What we build
PresidioFlow is what IntellaGrow does, made concrete.
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.
Regulated data engineering Event-driven architecture Verifiable evidence & audit Cloud-native delivery
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A. We start from the audit, not the demo
The hard part is not moving data, it is proving what happened to it. We build the evidence in from the first commit.
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B. Deterministic where it counts
For regulated work, repeatable beats clever. We reach for rules and proofs before models, and we are explicit about which is doing the work.
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C. Honest about what's shipped
We tell you what is a prototype, what is tested, and what a real number is. PresidioFlow's 48 percent is a measured 48 percent, not a rounded-up one.
Request a walkthrough
Have a pipeline that has to hold up to an audit?
Let's walk through PresidioFlow on your formats and your controls, and talk about what IntellaGrow could build for you.
Just have a question? Call, text, chat, or send a note.
PresidioFlow is a working prototype. 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.