IRPR builds custom AI software that handles data entry, scheduling, invoicing, and email routing. Ship a working tool in 10-14 weeks with a fixed price of $60K-$150K.
IRPR builds custom AI automation tools using Python, TensorFlow, and GPT-4 APIs to handle repetitive office work like data entry, email sorting, report generation, and CRM updates. Our engineers design models that learn your workflows, not just generic templates.
A typical AI office automation project ships in 10-14 weeks with fixed pricing between $60K and $150K. All integrations comply with SOC 2, HIPAA, or PCI-DSS where required. You get source code, documentation, and a 3-month warranty.
Operations managers hire us to eliminate spreadsheet drudgery. HR directors automate onboarding paperwork. Finance teams process invoices hands-free. Customer support leads cut ticket resolution time by 65%.
Extracts data from emails, PDFs, and scanned forms using OCR and NLP. Integrates with Salesforce or Airtable to auto-populate fields.
Classifies incoming emails by intent and routes to the right team or auto-replies. Built with Gmail API and custom classifiers.
Reads supplier invoices, extracts line items, and pushes to QuickBooks or Xero. Handles multi-currency and tax calculations.
Pulls data from databases and spreadsheets to produce weekly PDF reports. Uses Python and Jinja2 for templated outputs.
Scans email threads, finds open slots, and books meetings in Google Calendar. Integrates with Zoom and Teams.
Automatically tags contracts, resumes, and compliance forms by content. Uses BERT-based models for high accuracy.
Connects apps like Slack, Notion, and Jira with custom triggers and actions. Built on AWS Step Functions for reliability.
Answers common questions, creates tickets, and escalates to humans. Trained on your knowledge base using RAG and GPT-4.
IRPR builds AI automation software that handles the grunt work your team hates.
Repetitive office work eats 69% of the average knowledge worker's day, according to McKinsey. Our AI automation systems cut that burden by targeting high-volume tasks first. After a 2-week discovery phase, we identify where machine learning can reduce manual effort without breaking existing workflows.
One HR SaaS client reduced resume screening from 25 hours per week to 2 hours. Another logistics company automated shipment tracking updates for 15,000+ orders monthly. The tools pay for themselves within 6-12 months through headcount savings alone.
Why IRPR vs a generic AI freelancer.
Hiring a solo developer off Upwork often results in a half-built prototype with no documentation, no compliance, and no plan for model drift. AI automation software must be maintainable, auditable, and secure.
IRPR ships production-ready code with full ownership, automated testing, and a warranty. Our senior engineers design for scalability from day one, and we never hand over a black box.
From idea to running software in under 14 weeks.
Phase 1: Discovery (week 1-3). We interview users, audit current workflows, and select the AI approach. You get a 12-page technical spec.
Phase 2: Roadmap (week 4). We agree on features, mockups, and a fixed price. No coding starts until you sign off. Phase 3: Build (weeks 5-11). Two senior engineers code your project with weekly demos. Phase 4: Release (weeks 12-14). We deploy to your cloud, train users, and provide 3 months of warranty.
Every AI automation engagement includes these deliverables.
We don't just hand over a model and walk away. Each project ships with a complete, tested codebase and the infrastructure to run it.
Reduced invoice processing time from 4 hours/day to 15 minutes/day. Built with Python, AWS Textract, and QuickBooks integration. Handles 1,000+ invoices/month with 95% accuracy.
Parses 500+ resumes per week, filters top 20% by skills match. Uses GPT-4 and vector search. Cut screening time by 80%, saving 22 recruiting hours weekly.
Classifies incoming customer emails into 12 categories and auto-assigns to agents. Built with Gmail API and a custom BERT model. Reduced first-response time from 4 hours to 15 minutes.
Scans 10,000+ legal documents and tags 40+ metadata fields. Uses AWS Comprehend and custom NER. Eliminated 30 hours/week of manual review.
Monitors stock levels and automatically generates purchase orders when thresholds hit. Built with Python, PostgreSQL, and SAP integration. Reduced stockouts by 70%.
Digitizes paper forms using OCR and NLP, then populates EHR fields. Cuts registration time by 90% for 2,000+ patients/month. HIPAA-compliant on AWS.
Every project gets a fixed quote during the Roadmap phase (week 4). No hourly billing, no surprise invoices, no scope creep charges. You know the total cost before a single line of code is written.
You own the source code, the model training scripts, and the prompt engineering logic. We don't lock you into proprietary platforms. Your team can audit and modify everything.
All intellectual property transfers to you at project close. There are no licensing fees or vendor lock-in. Deploy it in your own AWS account or on-prem.
IRPR teams are staffed with engineers who have 7+ years of experience building production AI systems. No junior devs learning on your dime. You pair with Python and MLOps veterans.
We ship the first working version in under 100 days. Over 200 products shipped, with 98% on-time delivery. Fast feedback loops reduce waste and get automation live sooner.
If your office handles sensitive data, we bake compliance into the architecture from the start. Our default build includes encryption at rest, audit logs, and role-based access control.
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.
─── share this page ───
