Automate SOC 2, HIPAA, and PCI-DSS evidence collection across 10,000+ daily transactions. Go from manual audits to real-time compliance dashboards in 12 weeks.
How can AI improve compliance? It replaces manual spreadsheet tracking, periodic checklists, and reactive audit scrambles with models trained on your policy documents, access logs, and transaction records. IRPR builds AI compliance software using Python, FastAPI, and libraries like spaCy or Hugging Face Transformers to classify data sensitivity, flag policy violations, and generate audit-ready reports.
A full AI compliance platform ships in 8-12 weeks at fixed pricing from $85K to $250K. You get a dashboard ingesting logs via Kafka or AWS Kinesis, a PostgreSQL store for evidence trails, and role-based access aligned with SOC 2, HIPAA, or PCI-DSS requirements. No hourly billing, no feature creep charges.
Compliance officers hire us to build internal audit tools that cut preparation time by 60%. CTOs at fintech startups need automated PCI-DSS evidence collection to satisfy Stripe or merchant bank reviews. Healthcare privacy leads require HIPAA anomaly detection tracking 2,500+ daily Epic access events. SaaS founders use our SOC 2 monitoring dashboards to close enterprise deals faster.
Continuously monitor 100+ controls across AWS, GitHub, and Jira. Integrates with Drata or Vanta APIs for framework mapping.
Parse HL7/FHIR messages from Epic or Cerner. Flag unauthorized PHI access in real time using trained NLP models.
Scan Stripe or Braintree logs for card data exposure. Auto-generate quarterly ASV scan reports and evidence packages.
Discover PII across S3 buckets and Snowflake tables. Build data lineage graphs and automate DSAR response workflows.
Run real-time OFAC and PEP checks via ComplyAdvantage API. Flag suspicious activity patterns with a 97% true-positive rate.
Crawl Notion, Confluence, or Sharepoint. Compare live content against the latest ISO 27001 standard. Alert on gaps within 24 hours.
Aggregate SOC 2 Type II reports and BitSight scores. Generate a single risk score for each third party refreshed every 30 days.
Scan 50,000+ web pages for non-compliant scripts. Auto-populate OneTrust templates with detected vendors and cookie types.
Our compliance tools process millions of events and cut audit prep from weeks to minutes.
One healthtech platform came to IRPR with 3 weeks of manual SOC 2 evidence collection per quarter. Engineers spent Fridays pulling AWS CloudTrail logs, Jira ticket histories, and GitHub access records. We built a TypeScript/Next.js dashboard with a Python ETL pipeline that ingests 300,000 log lines daily and maps activities to 85 Trust Services Criteria controls automatically.
The platform reduced quarterly audit prep from 120 hours to 6 hours. Their auditor now accesses a read-only dashboard instead of receiving 200-page PDFs. A second project delivered a HIPAA compliance module that processes 25,000 PHI access events per day from an Epic instance, flagging 99.2% of unauthorized reads within 30 seconds. Both systems replaced Excel and email workflows.
Generic dev shops write code. IRPR writes compliance logic that knows PCI-DSS from HITRUST.
Most development teams treat compliance as a checkbox at the end. That leads to 8-week backfills, hardcoded rules that break on regulation updates, and SQL queries that miss 20% of violations. We have seen startups fail SOC 2 audits because their logging was built for debugging, not for proving controls to an auditor.
IRPR embeds regulatory logic directly into the data model. When new CCPA amendments publish, a single config file update propagates across 200+ detection rules in hours, not months. Your platform stays audit-ready between weekly regulation changes.
Every compliance platform we ship follows a fixed-scope build plan over 12 weeks.
Week 1 defines your compliance framework mapping. We convert your SOC 2, HIPAA, or PCI-DSS controls into 100-300 testable rules. Our engineers review your existing logging sources (CloudTrail, Datadog, Splunk) and identify gaps.
Weeks 2-4 build the detection engine. A Python/FastAPI backend ingests logs, runs NLP on unstructured policy docs and SQL on structured events, and flags anomalies. The frontend (React or Next.js) renders dashboards with real-time compliance scores and downloadable evidence packages.
Every engagement delivers a production-hardened, auditable system from day one.
IRPR does not deliver prototypes that need a second team to productionize. You receive full source code, a CI/CD pipeline, and an evidence package sufficient for a live audit. Post-launch support covers 30 days with a 99.9% uptime SLA.
Cut quarterly audit prep from 120 hours to 6 hours. Built with Next.js, Python FastAPI, and PostgreSQL. Ingested 300K AWS CloudTrail events daily and mapped to 85 Trust Services Criteria.
Detected unauthorized access to 25,000 daily patient records with 99.2% accuracy. Deployed a React dashboard with real-time alerts integrated into Slack.
Reduced PCI evidence gathering from 2 weeks to 2 days. Parsed Stripe logs with a custom Python ETL and auto-generated ASV scan evidence packages.
Discovered 50,000 PII fields across 12 S3 buckets and 3 Snowflake instances. Automated DSAR responses, cutting legal team workload by 20 hours per request.
Reduced false-positive AML alerts by 45% using a Python ML model on historical OFAC data. Integrated with ComplyAdvantage API for real-time checks.
Automated scoring of 1,200 vendors by ingesting SOC 2 Type II reports and BitSight ratings. Refreshed risk scores every 30 days, saving 60 analyst hours per month.
IRPR delivers a fixed quote during the Roadmap phase. You know the exact cost of your PCI-DSS dashboard or HIPAA monitoring tool before we write a single line of code. No hourly billing ever.
We map 100-300 controls into your database schema. Audit evidence is not an afterthought. It is a first-class queryable field from sprint one.
Every IRPR engineer has 8+ years of experience and has built systems that lived through SOC 2 Type II, HIPAA, and PCI-DSS examinations. No junior developers touching your evidence pipeline.
New regulation published on a Tuesday. Update one YAML config file. Detection rules propagate across all environments within hours. No redeployment needed for rule changes.
Our dashboards include read-only auditor roles, time-limited access tokens, and auto-generated evidence exports. Your auditor can self-serve instead of waiting for weekly data dumps.
We load-test every platform to handle your peak transaction volume plus 50% headroom. Kubernetes on EKS or GKE ensures horizontal scaling during month-end compliance runs.
Every engagement runs through the same four-stage pipeline. Predictable by design.
30-minute discovery call. No deck. We'll tell you honestly what it takes, how long, and how much.