IRPR builds custom AI tools that automate repetitive work and surface real-time insights. Your team ships more output in fewer hours—with fewer errors.
IRPR builds custom AI productivity tools—intelligent assistants, automated workflows, and predictive analytics dashboards—using large language models like GPT-4 and Claude, running on AWS Bedrock or Azure AI. These tools plug directly into your existing stack: Slack, Jira, Salesforce, or your internal databases.
A typical AI productivity project ships in 10-14 weeks, from idea to production, with fixed pricing between $80K and $300K. We handle SOC 2, HIPAA, and GDPR compliance if your team handles sensitive data. You own the code, the models, and the deployment pipeline.
Operations directors hire us to automate repetitive reporting. CTOs hire us to embed AI into internal tools. HR leaders hire us to build onboarding bots that cut new-hire ramp time by 30%. Product managers hire us to reduce manual QA by 40% with automated test generation.
Ingests PDFs, Word files, and emails, then outputs executive summaries using GPT-4, integrated with Slack. Saves 5+ hours per week per manager.
Cross-references calendars across time zones, proposes optimal slots, and books rooms via Google Calendar API. Eliminates scheduling back-and-forth.
Scrapes invoices, forms, and emails, then populates ERP or CRM fields using OCR and NLP. Reduces manual entry errors by 90%.
Analyzes team capacity and project deadlines, then suggests task reassignments via a custom dashboard. Prevents burnout and missed deadlines.
Scans pull requests for bugs, security flaws, and style violations, then comments inline on GitHub. Cuts review time by 50% for dev teams.
Classifies incoming emails by urgency and sender, then surfaces the top 5 each morning in a daily digest. Built on Gmail API and custom classifiers.
Answers new-hire questions 24/7, auto-fills HR forms, and schedules first-week meetings. Integrated with HRIS systems like Workday or BambooHR.
Translates Slack messages, meeting transcripts, and documents into 30+ languages using DeepL or Azure Translator. Keeps global teams aligned instantly.
Teams that deploy custom AI see a 30-50% reduction in time spent on repetitive tasks within the first quarter.
IRPR builds AI that integrates with the tools your employees already use—Slack, Teams, Jira, Salesforce. No new logins, no steep learning curve. The AI surfaces insights or executes actions directly inside those platforms.
One logistics client deployed an AI document classifier that reduced customs clearance paperwork from 45 minutes to 2 minutes per shipment. They process 200 shipments daily. That's 143 hours saved every single day.
Generic AI tools force your team to adapt to their limitations. Custom AI adapts to your exact workflows.
Off-the-shelf AI products promise quick wins but can't read your internal databases, understand your industry jargon, or comply with your security policies. They become shelfware within 6 months.
IRPR builds AI that speaks your company's language. We train models on your historical data, connect to your APIs, and deploy inside your VPC. The result is an AI that feels like a senior team member—not a generic chatbot.
Every project follows a 4-phase process that de-risks delivery and locks scope early.
Phase 1 (Idea) takes 1-2 weeks. We map your team's daily workflows, identify the highest-ROI automation opportunities, and define measurable success metrics—like 'reduce report generation time by 80%'.
Phase 2 (Roadmap) takes 1 week. We produce a fixed-price quote, a technical architecture document, and a week-by-week delivery schedule. You approve before any code is written.
Every project ships with production-ready infrastructure, not just a prototype.
You receive a fully deployed AI application running in your AWS, Azure, or GCP account. We set up CI/CD pipelines, monitoring with Sentry and Datadog, and auto-scaling so the tool handles peak loads without manual intervention.
Built for a fintech company handling 50,000 tickets/month. The AI classifies and routes tickets using GPT-4, cutting response time from 4 hours to 12 minutes. Stack: Next.js, Python, AWS Bedrock, Salesforce API.
For a law firm, we built an AI that scans 200-page contracts and flags risky clauses in under 2 minutes. Reduced partner review time by 70%. Stack: React, FastAPI, Azure AI, custom NER model.
A retail chain with 300 stores uses this AI to forecast stock-outs 7 days ahead. Cut lost sales by 22% in Q1. Stack: Vue.js, Python, BigQuery, custom time-series model.
A SaaS company with 500+ hires/year deployed a chatbot that answers policy questions and auto-fills HRIS forms. Reduced HR tickets by 35%. Stack: Node.js, Dialogflow, Workday API.
We built a computer vision system that inspects parts on a production line at 120 units/minute. Reduced defect escapes by 90%. Stack: Python, PyTorch, AWS IoT Greengrass.
For a pharma company, an AI that reads 10,000 patient records and extracts lab values into structured tables. Saved 200 researcher-hours per trial. Stack: Angular, Python, AWS Comprehend Medical, HIPAA-compliant VPC.
Every project gets a fixed quote in the Roadmap phase (week 2). No hourly billing, no surprise invoices, no scope creep charges.
Code, model weights, training data, and infrastructure configs are yours from day one. No vendor lock-in, no licensing fees.
Your project is built by two senior engineers with 8+ years of experience each. No junior devs learning on your dime.
We deliver SOC 2, HIPAA, and GDPR compliance documentation as part of every project. Your security team gets a full audit trail.
We work across time zones with 4+ hours of overlap daily. You get daily Slack updates and a live demo every 14 days—no endless status meetings.
Every project includes a 30-day bug-fix warranty and 90 days of post-launch support. We don't disappear after deployment.
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 ───
