What tasks should never be automated with AI?never automate
IRPR helps you identify what tasks should never be automated with AI, so you avoid costly mistakes. We build software that augments people, not replaces them.
IRPR builds AI decision-support systems that flag tasks too sensitive for automation, using models like GPT-4 and Llama 3 to assess risk. We integrate compliance checks for HIPAA, SOC 2, and PCI-DSS directly into the pipeline.
A typical engagement delivers a custom AI governance dashboard in 8-12 weeks, priced between $80K and $250K. You get a full audit trail, human-in-the-loop workflows, and deployment on AWS or GCP with 99.9% uptime.
Healthcare CIOs hire us to ensure clinical decisions remain human. Fintech compliance officers need us to prevent automated loan rejections that violate fair lending laws. Ecommerce founders ask us to keep customer service empathy out of chatbot-only loops. SaaS product managers want to avoid automating creative strategy while still using AI for data crunching.
Types of software we ship.
AI Ethics Dashboard
Monitors model outputs for bias using Fairlearn, flags high-risk decisions for human review before execution.
Human-in-the-loop Review System
Routes AI-generated content to human moderators via Slack, ensuring no automated publishing without approval.
AI Governance Platform
Centralizes model versioning, audit logs, and compliance reports with integration to ServiceNow for incident management.
Automated Decision Audit Tool
Replays AI decisions step-by-step using SHAP values, letting compliance teams verify every loan or claim decision.
Compliance Checker for AI
Scans model inputs against GDPR, HIPAA, and CCPA rules in real time, blocking non-compliant data processing.
AI Risk Assessment Software
Scores each AI use case on a 1-10 risk scale using NIST AI RMF, preventing deployment of high-risk automations.
Sensitive Data Handling System
Redacts PII and PHI from training data using Presidio, ensuring models never learn from sensitive information.
AI Explainability Module
Generates plain-English explanations for model predictions using LIME, making black-box decisions transparent to end users.
We build for every business type.
Healthcare, mental health, legal, education, social work, emergency services
Fintech, insurance, pharmaceuticals, aviation, energy, government
Hospitality, retail banking, customer support, personal training, real estate, travel agencies
Marketing, advertising, product design, journalism, architecture, music production
Criminal justice, hiring, loan approvals, medical diagnosis, child protective services, military
Why automation boundaries matter
IRPR has shipped 200+ products across regulated industries, learning exactly where AI should stop.
In healthcare, automated triage without human review led to a 30% misdiagnosis rate in early studies. We integrate clinician checkpoints in every workflow.
In fintech, fully automated loan decisions can violate ECOA regulations. Our audit tools replay every decision with SHAP values, giving compliance teams full visibility.
Generic AI vs. IRPR approach
Most dev shops automate everything. We automate only what should be.
A generic AI vendor will apply a chatbot to your entire customer service without considering empathy or complex cases. IRPR builds escalation paths that keep humans in charge for sensitive issues.
In recruitment, automated resume screening without bias checks can filter out qualified candidates. We add fairness constraints using Fairlearn and manual override for edge cases.
- Automates entire workflows
- No human-in-the-loop
- Ignores compliance rules
- Black-box decisions
- No audit trail
- One-size-fits-all AI
- Flags high-risk tasks
- Human approval gates
- Built-in HIPAA/SOC 2
- Explainable AI (SHAP/LIME)
- Full audit logs
- Custom governance dashboards
How we identify tasks to never automate
We follow a 4-phase assessment before writing a single line of code.
Phase 1: We map your current workflows and score each task for automation risk using the NIST AI RMF. Phase 2: We define human-in-the-loop intervention points and compliance requirements.
Phase 3: We prototype with dummy data to test edge cases and bias. Phase 4: We deploy with monitoring that alerts on drift or over-automation.
What you get in an AI governance build
Every engagement includes these deliverables to ensure safe automation.
From day one, you receive a roadmap of tasks safe to automate and those that need human judgment. We deliver a working dashboard that enforces these rules across your organization.
- AI risk assessment report
- Custom governance dashboard
- Human-in-the-loop workflow engine
- SHAP/LIME explainability modules
- Audit log with immutable storage
- Integration with Slack/Teams for approvals
- Compliance rule engine (HIPAA, SOC 2, etc.)
- Bias monitoring with Fairlearn
- Automated rollback on drift detection
- Source code in your repo
What we ship in this practice.
Clinical Decision Support with Human Override
A hospital network reduced automated misdiagnosis risk by 40% by adding clinician review gates. Built with React, FastAPI, and FHIR-compliant data pipelines.
Fair Lending Audit System
A fintech lender eliminated ECOA violations by replaying every loan decision through SHAP. Deployed on AWS with PostgreSQL and a React dashboard.
Customer Service Escalation Engine
An ecommerce brand cut chatbot errors by 60% by routing sensitive complaints to human agents. Uses Node.js, Twilio, and a custom NLP classifier.
Resume Screening with Bias Constraints
A staffing firm reduced bias in candidate shortlisting by 35% after adding Fairlearn and manual override for borderline cases. Tech: Python, Flask, MongoDB.
AI Governance Platform for SaaS
A SaaS company achieved SOC 2 compliance for AI features by deploying a centralized dashboard with audit trails. Built with Next.js, GraphQL, and Postgres.
Creative Content Approval Workflow
A marketing agency saved 20 hours/week by automatically flagging AI-generated copy that needed human review. Stack: React, Django, and integrated with Airtable.
Why teams hire us.
Fixed price, not hourly
Every project gets a fixed quote in the Roadmap phase (week 2). No hourly billing, no surprise invoices, no scope creep charges.
8-12 week builds
We ship working software in under 3 months. 98% of our 200+ projects hit their deadline.
Compliance-first engineering
We bake HIPAA, SOC 2, and PCI-DSS into the code, not as an afterthought. Our engineers hold relevant certifications.
Senior-only teams
No junior developers. Your project is built by engineers with 10+ years of experience in regulated industries.
Full code ownership
You own every line of code. We hand over the repository and documentation at launch.
Async-first collaboration
We work across time zones, overlapping 4+ hours daily with US teams. No delays, no miscommunication.
Idea → Roadmap → Product → Release.
Every engagement runs through the same four-stage pipeline. Predictable by design.
Questions clients ask first.
Related services and industries.
Ready to build? Let's talk.
30-minute discovery call. No deck. We'll tell you honestly what it takes, how long, and how much.
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