Ship your AI-powered SaaS with production-grade reliability
Code review, cost optimization, and production services for AI-powered SaaS products wrapping OpenAI, Anthropic, and other AI APIs, built with AI coding tools.
AI SaaS products add a unique layer of complexity on top of standard SaaS challenges — you're building a paid product on top of third-party AI APIs that are expensive, unpredictable, and rate-limited. Your margins depend on controlling API costs, your reliability depends on handling upstream failures, and your differentiation depends on prompt engineering and workflow design that AI coding tools can't optimize for you.
AI SaaS challenges we solve
The most common issues in AI-built ai saas projects.
Cost management and unit economics
Every user action costs you real money in API calls. If a user generates 100 requests a day and each costs $0.05, that's $5/day per user — $150/month. Without token tracking, usage tiers, and cost optimization, your AI SaaS can lose money on every customer.
Upstream API reliability
OpenAI and Anthropic APIs have outages, rate limits, and variable latency. Your SaaS needs fallback providers, retry logic with exponential backoff, request queuing, and graceful degradation. AI tools build direct API calls with no resilience — one upstream outage takes your entire product down.
Prompt management and versioning
Your prompts are your product's core IP. AI tools hardcode prompts in the source code. You need a prompt management system with versioning, A/B testing capability, and the ability to update prompts without deploying code. A bad prompt update shouldn't require a rollback of your entire application.
Output quality and consistency
AI responses vary in quality, format, and accuracy. Your paying customers expect consistent output. You need output validation, structured output parsing, retry logic for poor responses, and quality monitoring. One hallucinated response in a customer-facing context can destroy trust.
Usage-based billing
AI SaaS products typically need usage-based or credit-based pricing rather than flat monthly fees. Tracking usage accurately, enforcing limits in real-time, and integrating metered billing with Stripe requires careful implementation that AI tools don't provide.
Data privacy with AI providers
Your customers' data is being sent to third-party AI APIs. You need clear data processing agreements, the option to use providers that don't train on your data, and compliance with privacy regulations. Enterprise customers will specifically ask how their data is handled.
What we review
Our ai saas audit covers these critical areas.
API cost tracking — per-user and per-feature token usage monitoring
Upstream resilience — fallback providers, retry logic, circuit breakers
Prompt management — versioned prompts, separated from application code
Output validation — structured parsing, quality checks, error handling
Usage-based billing — metered usage, credit system, Stripe integration
Rate limiting — per-user limits that prevent runaway API costs
Streaming implementation — proper SSE for long-running AI responses
Data privacy — customer data handling, provider agreements, encryption
Caching — response caching for identical requests to reduce costs
Monitoring — cost dashboards, latency tracking, quality metrics
Services for your ai saas
Security Review
Deep security analysis of your application — from API endpoints to database access.
Performance
Identify and fix performance bottlenecks — slow page loads, laggy interactions, and expensive operations.
Infrastructure
Databases, APIs, auth systems, email, file storage — the backend services that power your application.
Add Features
New functionality, integrations, and capabilities that your AI tool couldn't build or that you need built properly.
We work with ai saas apps built with
Start with a self-serve audit
Get a professional review of your ai saas at a fixed price.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
How do I make my AI SaaS profitable with expensive API costs?
Three levers: 1) Optimize prompts to use fewer tokens without losing quality. 2) Cache responses for identical or similar requests — many users ask similar things. 3) Implement tiered pricing with usage limits so heavy users pay proportionally. We help you set up cost tracking and identify your biggest optimization opportunities.
What happens when OpenAI or Anthropic has an outage?
Without resilience engineering, your product goes down too. We implement fallback routing between providers (e.g., try Anthropic first, fall back to OpenAI), request queuing for rate limits, and graceful degradation that shows cached responses or a clear status message during outages.
Should I use OpenAI, Anthropic, or both?
Using both gives you resilience and lets you route tasks to the best model for each job. Simpler tasks can use cheaper, faster models, while complex reasoning tasks use more capable models. We help you implement a model routing layer that optimizes for cost, quality, and reliability.
Other use cases
SaaS App
Professional code review, security hardening, and deployment services for SaaS applications built with AI coding tools.
Marketplace
Code review and production services for two-sided marketplaces built with AI tools.
E-Commerce Store
Production services for e-commerce applications built with AI tools.
MVP / Prototype
Bridge the gap between AI-generated prototype and production-ready MVP.
Building a ai saas?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.