What are examples of AI in everyday business operations?AI
From chatbots that handle customer inquiries to predictive models that forecast demand, AI is already running daily ops. IRPR builds custom AI tools that ship in 8-12 weeks, so you can automate without the hype.
IRPR builds custom AI tools that slot into your daily operations: chatbots powered by GPT-4o, inventory forecasting with TensorFlow, and document processing using computer vision. Instead of off-the-shelf SaaS, we tailor AI to your exact workflows, using your data and your rules.
Every project ships as a working application in 8-12 weeks. Pricing ranges from $80K to $250K depending on the complexity of the AI models, integrations, and compliance needs. We handle HIPAA, SOC 2, and PCI-DSS requirements, so your AI doesn't just work—it's audit-ready.
Operations managers hire us to automate invoice processing and cut manual data entry. Heads of customer service want AI chatbots that resolve 50% of tickets without human handoff. Supply chain directors use our predictive models to reduce stockouts by 30%. And founders of B2B SaaS products need AI features like sentiment analysis or recommendation engines built into their existing apps.
Types of software we ship.
Customer service chatbot
AI chat that handles 60% of inquiries using GPT-4o and intent recognition, integrated with Zendesk or Intercom.
Inventory demand forecasting
TensorFlow time-series models that predict SKU-level demand and reduce stockouts by 30%.
Intelligent document processing
OCR and NLP extract invoice, receipt, or contract data, pushing to NetSuite or QuickBooks automatically.
Sales lead scoring engine
ML model scores leads based on behavior and firmographics, integrated with HubSpot or Salesforce.
Employee onboarding assistant
RAG-based knowledge bot answers HR and IT questions, trained on your internal docs, accessible via Slack or Teams.
Email automation and triage
NLP classifier routes emails to the right team and auto-replies to common queries, saving 20 hours a week.
AI-powered analytics dashboard
Natural language querying of your database, giving non-technical teams instant reports via a React UI.
Predictive maintenance alerting
Anomaly detection on sensor data triggers Slack alerts, reducing machine downtime by 15%.
We build for every business type.
E-commerce
Healthcare
Financial services
Logistics
Professional services
AI operations by the numbers
IRPR has shipped AI features into 200+ products, so we know what works.
Most AI projects fail because they start with a model, not a problem. We start with the operational bottleneck—like a customer service team that takes 4 hours to reply—and then pick the AI tool that fixes it. In 12 weeks, you get a working system, not a slide deck.
Half of our clients integrate AI into existing software via APIs. We've connected GPT-4o to CRMs, TensorFlow to inventory systems, and computer vision to document scanners. No rip-and-replace necessary.
Why IRPR's approach beats generic AI consultants
Most agencies sell AI strategy; we build AI that actually works in operations.
Generic AI firms charge $50K for a report that says 'implement chatbots.' We give you the chatbot, deployed and trained on your data, in 8 weeks. No fluff, no endless pilot phases.
Our fixed-price model means you know the cost before a line of code is written. We don't bill hourly and we don't recommend tools we can't build.
- Delivers a 200-page report, not code
- Recommends tools they don't build
- Hourly billing with no cap
- No hands-on integration with your systems
- Pilot phase takes 6 months
- No compliance expertise
- Ships a working AI application in 8-12 weeks
- Builds with GPT-4o, TensorFlow, and custom models
- Fixed price, no surprises
- Integrates directly with your CRM, ERP, or database
- MVP in 2 months, then iterate
- HIPAA, SOC 2, PCI-DSS ready
How we build AI into your daily operations
A 4-phase process that turns AI ideas into operational tools.
We start with an Idea Week where we map your operations and find the highest-impact AI use case. Then we lock a fixed price and timeline in the Roadmap phase. The Product phase is 8-12 weeks of development, and Release means deployment to your servers.
After launch, we monitor model performance and retrain as needed. We've seen AI-driven invoice processing cut AP time from 3 days to 2 hours.
What you get with every AI project
A complete AI system, not a prototype.
AI projects at IRPR ship with everything you need to run in production. We don't hand over a Jupyter notebook and call it done. You get a fully deployed API, a user interface if needed, and documentation.
All code is tested, secure, and ready for audit. We set up CI/CD pipelines, error tracking with Sentry, and monitoring dashboards so you can see model performance in real time.
- Trained ML model on your data
- REST API or GraphQL endpoint
- Integration with your existing systems (CRM, ERP, etc.)
- User interface (web or mobile)
- Source code in your Git repo
- CI/CD pipeline (GitHub Actions)
- Error monitoring with Sentry
- Model performance dashboard
- Security audit report for SOC 2 or HIPAA
- Deployment scripts for AWS/Azure/GCP
What we ship in this practice.
Customer service chatbot for e-commerce
Reduced agent response time from 4 hours to 5 minutes by deploying a GPT-4o chatbot that handles 60% of inquiries. Tech stack: GPT-4o API, Node.js, Shopify integration.
Invoice processing automation for logistics
Cut accounts payable processing from 3 days to 2 hours using computer vision and NLP to extract invoice data and push to NetSuite. Tech stack: Python, AWS Textract, NetSuite API.
Inventory demand forecasting for retail
Reduced excess inventory by 25% and stockouts by 30% with a TensorFlow time-series model that predicts demand per SKU. Tech stack: TensorFlow, BigQuery, React dashboard.
Lead scoring engine for SaaS
Increased sales conversion by 20% by building a ML model that scores inbound leads based on behavior and firmographics, integrated with HubSpot. Tech stack: Python, scikit-learn, HubSpot API.
Email triage for HR consulting
Automated 80% of candidate email sorting with a custom NLP classifier that routes applications to the right recruiter. Tech stack: spaCy, FastAPI, Gmail API.
Predictive maintenance for manufacturing
Reduced machine downtime by 15% using sensor data and a custom anomaly detection model that alerts maintenance teams via Slack. Tech stack: Python, AWS IoT, Twilio.
Why teams hire us.
Fixed price, not hourly
Every AI project gets a fixed quote at the Roadmap phase (week 2). No hourly billing, no surprise invoices—you know the cost of your chatbot or forecasting model upfront.
8-12 week delivery
We don't believe in year-long AI rollouts. An MVP of your AI tool ships in 8-12 weeks, tested and deployed. Our 200+ product track record proves we hit timelines.
Your data stays yours
We train models on your data, on your servers. No data leaves your environment unless you want it to. We've built HIPAA-compliant AI for healthcare, and PCI-DSS for payments.
No AI buzzwords, just code
We skip the 'AI transformation' decks and build. You get a working API, not a slide deck. Our engineers have shipped AI features for 50+ countries.
Full ownership of code and models
You own the trained model, the source code, and the IP. No vendor lock-in. Every project comes with documentation and deployment scripts so your team can maintain it.
Real operational metrics, not vanity metrics
We measure success by time saved, errors reduced, or revenue increased. A recent invoice AI cut processing time from 3 days to 2 hours. That's the ROI we deliver.
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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