How do I prioritize AI projects?AI projects
Score every AI use case against ROI, feasibility, and data readiness. Launch a working MVP in 12 weeks with IRPR's fixed-price Roadmap.
IRPR builds AI project prioritization frameworks that score use cases using weighted criteria: ROI potential, technical feasibility, data maturity, and strategic alignment. We use Python-based scoring engines, SQL for data readiness checks, and React dashboards to visualize your AI portfolio.
In the Roadmap phase (weeks 1-2), we deliver a scored inventory of AI opportunities, a 12-week MVP build plan, and a fixed price for implementation. Projects range from $80K-$250K, with compliance baked in for HIPAA, PCI-DSS, or SOC 2 where needed.
CTOs at healthcare orgs hire us to rank AI diagnostic tools. Fintech heads of product use our scoring to pick fraud detection models. Ecommerce VPs prioritize recommendation engines. SaaS founders evaluate churn prediction features. Each gets a clear, defensible priority list.
Types of software we ship.
AI Use Case Scoring Engine
Custom tool that weights and ranks AI ideas by ROI, effort, and data quality. Integrates with Jira and Airtable.
AI Portfolio Dashboard
Real-time visualization of all AI projects with status, cost, and predicted ROI. Built with React and D3.js.
AI Readiness Assessment Platform
Surveys and data audits that measure data maturity, infrastructure gaps, and skill readiness. Exports to PDF.
AI ROI Calculator
Financial model that projects net savings or revenue uplift for each AI initiative. Connects to QuickBooks.
AI Implementation Roadmap Tool
Gantt-chart timeline generator that sequences AI projects by dependency and resource availability. Syncs with Asana.
AI Project Tracker
Lightweight kanban board for managing AI experiments, with built-in A/B testing and model registry integration.
AI Resource Allocation System
Optimizes team assignments and compute budget across AI projects using linear programming. Exports to Excel.
AI Governance & Compliance Checker
Flags regulatory risks (HIPAA, GDPR) for each AI use case and suggests mitigation steps. Generates audit reports.
We build for every business type.
Healthcare
Financial Services
Ecommerce & Retail
Manufacturing & Logistics
Technology & SaaS
IRPR by the numbers
We've shipped over 200 AI-powered products across 50+ countries.
Our fixed-price Roadmap phase (2 weeks) delivers a scored AI project portfolio. Then we build the top-priority MVP in 12 weeks, on time 98% of the time.
Every engagement starts at $80K and scales based on scope. No hourly billing, no hidden fees.
How IRPR prioritizes your AI projects
Our 4-phase approach turns scattered ideas into a ranked, build-ready backlog.
Phase 1: Discovery. We interview stakeholders and catalog every AI idea, from chatbot to predictive maintenance. Phase 2: Scoring. We build a weighted matrix using Python and Airtable, scoring each use case on 10+ factors.
Phase 3: Roadmap. You get a 12-week implementation plan with fixed pricing. Phase 4: Build. We ship the top MVP, then iterate.
What you get from an IRPR AI prioritization engagement
Every project includes these deliverables at no extra cost.
We don't just talk strategy; we ship working software. The Roadmap phase ends with a concrete, actionable plan.
- AI use case inventory (Airtable or Notion)
- Weighted scoring model (Python script)
- ROI projection spreadsheet
- Data readiness assessment report
- Technical feasibility analysis
- 12-week implementation roadmap (Gantt chart)
- Source code in your GitHub repo
- CI/CD pipeline on GitHub Actions
- Sentry error tracking
- Post-launch monitoring dashboard
the difference
Most dev shops build what you ask. IRPR tells you what to build first.
Generic agencies take your list and start coding. We apply a scoring framework to save you months of wasted effort.
With IRPR, you get a defensible priority list backed by data, not hunches.
- No AI strategy expertise
- Hourly billing with no cap
- Scope creep after kickoff
- Black box development process
- No ROI framework included
- Generic project managers
- AI strategy embedded in Roadmap
- Fixed price after week 2
- 12-week MVP delivery
- Full ownership of code and data
- ROI scoring matrix delivered
- Senior AI engineers only
What we ship in this practice.
AI Diagnostic Scoring Tool for Hospital Network
Reduced AI project selection time from 6 months to 2 weeks. Scored 45 use cases on patient outcome impact and HIPAA compliance. Tech: Python, PostgreSQL, React.
Fraud Detection Prioritization Dashboard for Fintech
Ranked 12 fraud models by expected loss reduction and integration effort. Deployed MVP in 10 weeks. Tech: FastAPI, Redshift, Grafana.
Recommendation Engine ROI Calculator for Ecommerce
Projected $2.3M annual revenue uplift from personalized recommendations. Built a what-if simulator. Tech: Streamlit, BigQuery, Shopify API.
Predictive Maintenance Scheduler for Manufacturer
Prioritized 8 IoT use cases using sensor data readiness scores. Saved $400K/year in downtime. Tech: Node.js, InfluxDB, AWS IoT.
Churn Prediction Model Scorer for SaaS
Evaluated 6 churn models against data maturity and integration cost. Launched top model in 8 weeks, reducing churn by 15%. Tech: Python, Snowflake, dbt.
Route Optimization AI Planner for Logistics
Scored 20 AI initiatives on fuel savings and driver adoption. Built a proof-of-concept in 12 weeks. Tech: Go, PostGIS, Mapbox.
Why teams hire us.
Fixed price after 2 weeks
The Roadmap phase ends with a fixed quote for your top-priority AI project. No hourly billing, no scope creep. 200+ clients have used this model.
ROI scoring built-in
We don't just build; we score. Every engagement includes a weighted matrix with 10+ criteria, delivered in Airtable. You see exactly why we ranked each project.
Senior AI engineers only
No junior devs. Your project is built by engineers with 8+ years in ML, data engineering, and cloud. We've deployed models at scale for 50+ countries.
12-week MVP, not 12 months
We compress the typical AI build cycle from 6-12 months to 12 weeks. You test real user feedback before committing to a full product. 98% on-time rate.
Full ownership, zero lock-in
You own all code, data, and models from day one. We deploy to your AWS, GCP, or Azure account. No proprietary black boxes.
Compliance from the start
HIPAA, PCI-DSS, SOC 2, GDPR: we bake compliance into the scoring. AI projects that touch sensitive data get flagged early and designed accordingly.
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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