How Do I Create an AI Strategy for My Company?AI Strategy
IRPR helps you create an AI strategy for your company and ships a working MVP in 8-12 weeks. Fixed pricing, senior engineers, no fluff.
IRPR helps companies create an AI strategy that moves from idea to production in 12-14 weeks. We use tools like LangChain, OpenAI APIs, and vector databases to identify high-ROI AI use cases and prototype them fast.
What ships: a documented AI roadmap with prioritized opportunities, a technical architecture diagram, and a functional MVP for the top use case. Projects range from $80K to $250K depending on complexity. We handle compliance for HIPAA, SOC 2, and PCI-DSS.
Who hires us: CTOs at mid-market companies who need an AI adoption plan, product leaders at SaaS firms adding AI features, operations directors at logistics companies automating workflows, and founders raising Series A who need an AI product to show investors.
Types of software we ship.
Conversational AI Strategy
Build a chatbot or voice assistant using RAG with LangChain and Pinecone. Integrates with your existing CRM and knowledge base.
Predictive Analytics Strategy
Forecast demand, churn, or equipment failure using time-series models on AWS SageMaker. Reduces manual reporting by 20 hours/week.
Document Processing Strategy
Automate invoice, contract, or medical record extraction with OCR and LLMs. Uses Azure Form Recognizer or AWS Textract.
Recommendation Engine Strategy
Increase average order value by 15% with personalized product recommendations. Built with collaborative filtering on PostgreSQL and Redis.
Computer Vision Strategy
Deploy quality inspection or security monitoring with YOLOv8 on edge devices. Processes 30 frames/second on NVIDIA Jetson.
AI-Powered Search Strategy
Replace keyword search with semantic search using embeddings and Weaviate. Improves search relevance by 40% for ecommerce catalogs.
Fraud Detection Strategy
Catch payment fraud in real time with anomaly detection models on Kafka and Flink. Reduces chargebacks by 50% for fintech platforms.
AI Automation Strategy
Streamline back-office workflows with RPA and LLM agents. Cuts data entry time by 35 hours/week using UiPath and custom Python scripts.
We build for every business type.
Industries
Business Functions
Company Stages
Tech Focus Areas
Compliance Needs
What you get with an IRPR AI strategy
We deliver a complete AI adoption plan, not a slide deck.
Every AI strategy engagement includes a working MVP for the highest-ROI use case. We ship in 12-14 weeks from kickoff, using your real data and existing systems.
Our fixed-price Roadmap phase (week 1-2) gives you a prioritized list of AI opportunities with technical feasibility scores. You decide what to build first.
IRPR vs generic AI consulting
Why most AI strategy engagements fail: lots of slides, zero code.
Generic AI consulting firms charge $500/hour for MBAs who have never deployed a model. You get a 100-page PDF and no way to test if the recommendations work.
IRPR puts senior engineers on your project from day one. They write code in the first week, not the last month. You see a prototype before you commit to a full build.
- No working software, only reports
- Hourly billing with no cap
- Junior consultants with no production experience
- Vague recommendations, no specific tech stack
- 6+ month engagements before any output
- No compliance expertise for regulated industries
- Strategy + working MVP in 12 weeks
- Fixed price after Roadmap phase
- Senior engineers who ship daily
- Specific tech stack: LangChain, Pinecone, AWS
- Compliance built-in: HIPAA, SOC 2, PCI-DSS
- You own all code and IP
How we create your AI strategy
A 4-phase process from discovery to deployed MVP.
IRPR's AI strategy process is designed to produce a working prototype, not just a plan. Every phase has a clear deliverable and fixed timeline.
We work async with weekly syncs. You get access to our Linear board to track progress in real time.
Your AI strategy deliverables
Every AI strategy engagement ships with these concrete outputs.
You own everything we produce: code, docs, diagrams, and data pipelines. Nothing is locked behind a proprietary platform.
We set up CI/CD, monitoring, and compliance controls before we hand off. Your team can take over on day one.
- Prioritized AI opportunity map with ROI estimates
- Technical architecture diagram (AWS/GCP/Azure)
- Data readiness assessment and gap analysis
- Compliance review for HIPAA, SOC 2, or PCI-DSS
- Functional MVP for the top use case
- Source code in your GitHub/GitLab repo
- CI/CD pipeline with GitHub Actions or GitLab CI
- Model monitoring with drift detection and alerts
- API documentation and Postman collection
- Handoff walkthrough with your engineering team
What we ship in this practice.
AI Chatbot for Customer Support
Reduced response time by 60% using a RAG chatbot with LangChain, Pinecone, and OpenAI GPT-4. Handles 5,000 support tickets per month with 92% deflection rate.
Predictive Maintenance for Manufacturing
Cut unplanned downtime by 35% using IoT sensor data and XGBoost models on AWS SageMaker. Alerts maintenance teams 48 hours before failure.
Document AI for Healthcare Claims
Automated 80% of prior authorization requests with OCR and LLM extraction. Reduced processing time from 3 days to 4 hours. HIPAA compliant on AWS.
Recommendation Engine for Media Streaming
Increased watch time by 22% with a collaborative filtering model on PostgreSQL and Redis. Deployed on Kubernetes with 99.9% uptime.
Fraud Detection for Fintech
Caught 95% of payment fraud in real time using anomaly detection on Kafka and Flink. Reduced chargebacks by $2M/year for a Series B fintech.
AI-Powered Search for Ecommerce
Improved product search relevance by 40% using semantic embeddings with Weaviate. Increased conversion rate by 18% for a 50K-SKU catalog.
Why teams hire us.
Fixed price, not hourly
Every AI strategy project gets a fixed quote after the Roadmap phase (week 2). No hourly billing, no surprise invoices. You know the total cost before we write a line of code.
Strategy + working software
You get a deployed MVP, not a slide deck. 90% of our AI strategy clients proceed to full build because the prototype proves ROI in week 12.
Senior engineers only
No junior devs, no outsourced teams. Every engineer has 8+ years of experience and has shipped AI systems to production. You work directly with the people building your product.
Compliance from day one
We bake in HIPAA, SOC 2, or PCI-DSS controls during the MVP phase, not as an afterthought. Your AI strategy includes a compliance review with specific implementation steps.
You own everything
All code, models, and documentation go to your repo. No vendor lock-in, no proprietary platforms. You can maintain and extend the system with your own team or any other vendor.
Start in 1 week
We kick off most AI strategy projects within 5 business days of signing. The Roadmap phase delivers a prioritized plan in 2 weeks, so you can decide on the MVP by week 3.
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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