What is an AI transformation roadmap?AI transformation
A 4-phase plan that moves your company from AI curiosity to a shipped product. IRPR delivers the roadmap in 2 weeks, then builds the MVP in 8-12 weeks.
What is an AI transformation roadmap? It is a structured plan that defines how your business adopts AI - from the first use case to a deployed product. IRPR builds these roadmaps using Python, TensorFlow, and cloud-native tools on AWS and Azure. We map your data sources, pick the right models, and define the exact features that ship in phase one.
The roadmap phase takes 2 weeks and costs $15K-$25K. After approval, the AI MVP ships in 8-12 weeks with fixed pricing from $80K to $250K. Every project includes compliance alignment - HIPAA for healthcare AI, SOC 2 for SaaS, PCI-DSS for fintech. You get a working AI product, not a slide deck.
CTOs hire us to turn board-level AI mandates into real software. Heads of product hire us when their team lacks machine learning expertise. Operations directors hire us to automate manual workflows with AI. Founders hire us to launch an AI-powered SaaS before their runway ends.
Types of software we ship.
Predictive analytics dashboard
A custom dashboard that forecasts metrics like churn or demand using time-series models. Integrates with Snowflake or BigQuery.
NLP chatbot for customer support
A chatbot trained on your knowledge base and ticket history. Deployed on Intercom or Zendesk with RAG architecture.
Document processing AI
Extracts data from PDFs, invoices, or contracts using OCR and transformer models. Reduces manual entry by 70%.
Recommendation engine
Personalizes product or content feeds using collaborative filtering. Built with PyTorch and deployed via FastAPI.
Computer vision quality inspection
Detects defects on manufacturing lines using YOLOv8 models. Integrates with factory camera systems and PLCs.
AI-powered search
Semantic search that understands intent, not just keywords. Uses vector embeddings and Pinecone or Weaviate.
Automated reporting agent
Generates weekly business reports by querying databases and writing summaries with GPT-4. Delivers via email or Slack.
Fraud detection system
Real-time transaction scoring with anomaly detection models. Deployed on Kafka streams with sub-100ms latency.
We build for every business type.
Healthcare
Financial Services
SaaS & Technology
Ecommerce & Retail
Logistics & Manufacturing
The AI roadmap process: 4 phases to a shipped product
IRPR runs a proven 4-phase process that ends with deployed AI, not a PDF.
Most AI projects fail in the planning stage. Companies spend 6 months on strategy decks and never ship anything. IRPR flips this. We compress the planning into a 2-week roadmap sprint, then move straight into building.
The roadmap answers three questions: What AI can we build with our current data? What will it cost? When will it ship? Every answer comes with a technical spec, not a guess.
Why generic AI consulting fails
Most AI consultancies deliver a 100-page report and disappear. IRPR delivers working software.
The typical AI consulting engagement costs $200K and takes 6 months. You get a maturity assessment, a capability matrix, and a list of ideas. None of it runs in production. Your engineers still do not know what model to use or how to deploy it.
IRPR replaces the report with a working prototype. By the end of the roadmap phase, you have a deployed API endpoint, a trained model on your data, and a fixed price for the full build. No theory. Just code.
- 6-month planning phase
- Delivers a PDF report
- No code written
- Hourly billing with overruns
- Junior consultants on site
- No compliance guarantees
- 2-week roadmap sprint
- Delivers a working API
- Production-ready prototype
- Fixed price, no surprises
- Senior engineers only
- HIPAA, SOC 2, PCI-DSS aligned
What an AI transformation roadmap includes
Every roadmap delivers a concrete build plan with technical specifications.
Phase 1 is discovery. We audit your data sources, APIs, and existing infrastructure. Phase 2 is architecture. We select the model type, cloud services, and integration points. Phase 3 is the prototype. We train a model on your data and expose it via an API. Phase 4 is the fixed-price proposal for the full MVP.
You get a GitHub repo with working code, a deployed endpoint on AWS or Azure, and a 12-week build plan with line-item costs. No ambiguity. No scope creep. Just a clear path from idea to AI product.
What ships after the AI roadmap
The roadmap is the starting line. Here is what you get when you proceed to the full build.
After the roadmap, the full MVP build runs 8-12 weeks. You get a production AI application, not a proof of concept. We handle model deployment, monitoring, CI/CD, and compliance. Your team gets full source code ownership.
- Trained model in your AWS/Azure account
- REST API with FastAPI or Flask
- CI/CD pipeline on GitHub Actions
- Sentry error tracking for model drift
- Grafana dashboard for model performance
- Data preprocessing pipeline
- Model versioning with DVC or MLflow
- Source code in your repo
- 12 months of support included
- SOC 2 or HIPAA compliance documentation
What we ship in this practice.
Patient readmission predictor for a hospital network
Built an XGBoost model on 5 years of EHR data to predict 30-day readmissions. Reduced readmission rates by 18% and saved $2.4M annually. Tech: Python, AWS SageMaker, FHIR API.
Claims automation AI for an insurance carrier
Trained an NLP model to extract claim details from scanned documents and route them automatically. Cut processing time from 14 days to 2 days. Tech: PyTorch, Azure Form Recognizer, PostgreSQL.
Inventory demand forecasting for a 3PL provider
Deployed a time-series model that predicts warehouse demand by SKU with 94% accuracy. Reduced stockouts by 30%. Tech: Prophet, BigQuery, FastAPI.
Personalized product recommendations for a DTC brand
Built a collaborative filtering engine that increased average order value by 22%. Integrated with Shopify and Klaviyo. Tech: TensorFlow, Redis, Next.js.
Defect detection system for an automotive plant
Deployed YOLOv8 on edge devices to detect paint defects at 60 frames per second. Reduced manual inspection hours by 80%. Tech: Python, ONNX, NVIDIA Jetson.
AI tutor for an EdTech platform
Built a RAG-based chatbot that answers student questions using course materials. Improved course completion rates by 25%. Tech: LangChain, Pinecone, GPT-4 API.
Why teams hire us.
Fixed price, not hourly
Every AI roadmap costs $15K-$25K with a fixed scope. The full MVP is quoted at a fixed price. No hourly billing, no surprise invoices, no scope creep charges.
Roadmap in 2 weeks
We deliver the complete AI transformation roadmap in 10 business days. You get a working prototype, not a slide deck. 98% of our roadmaps ship on time.
Senior ML engineers only
Every project is staffed with engineers who have 7+ years of machine learning experience. No junior developers. No outsourcing. 200+ AI products shipped.
Compliance built in
We design AI systems for HIPAA, SOC 2, and PCI-DSS from day one. Your roadmap includes a compliance checklist specific to your industry. No retrofits.
You own everything
All code, models, and documentation go into your repo. No vendor lock-in. No proprietary black boxes. Full IP transfer at project completion.
Async-first, global coverage
We work across 50+ countries with overlapping hours for your timezone. Daily Slack updates, weekly demos, and a shared Notion workspace keep you in the loop.
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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