AI Engineering for SaaS Companies
Add AI features to your SaaS product that your customers will actually use. Product copilots, smart search, automated support, and usage intelligence, built for production and shipped in weeks.
AI Use Cases for SaaS Companies
The most impactful AI features we build for SaaS products, based on real production deployments.
In-Product AI Copilot
An AI assistant embedded directly in your SaaS product that helps users navigate complex workflows, generate content, fill forms, and complete tasks faster. Copilots reduce time-to-value for new users by 40 to 60% and increase feature adoption across your platform. We build copilots using RAG to ground responses in your product documentation and user context.
AI-Powered Smart Search
Replace keyword search with semantic search that understands user intent. Users type natural language queries and get accurate results from your knowledge base, product data, and documentation. Semantic search improves search success rates from 40% (keyword) to 85%+ and reduces support tickets generated by users who cannot find answers.
Automated Customer Support
AI chatbots that handle 40 to 60% of support tickets automatically by searching your help docs, knowledge base, and product data. Integrated with your help desk (Zendesk, Intercom, Freshdesk), the chatbot resolves common issues instantly and routes complex cases to human agents with full context. Reduces average resolution time from hours to seconds.
Usage Analytics and Churn Prediction
AI models that analyze user behavior patterns to predict churn 30 to 60 days before it happens. Identify at-risk accounts, understand engagement drop-off points, and trigger automated retention workflows. SaaS companies using AI-powered churn prediction typically reduce churn by 15 to 25% within the first quarter of deployment.
Content Generation and Automation
AI-powered content creation tools within your platform: report generation, email drafting, document summarization, and template automation. Particularly valuable for marketing platforms, project management tools, and CRM systems where users spend significant time creating content. Reduces content creation time by 60 to 80%.
Intelligent Data Extraction
AI that extracts structured data from unstructured inputs: emails, documents, images, and forms. Automates data entry, reduces manual processing by 70 to 90%, and improves data accuracy. Essential for SaaS products in finance, HR, logistics, and any domain where users upload documents for processing.
Recommended Packages for SaaS Companies
Productized AI services with fixed scope, clear timelines, and transparent pricing.
AI Chatbot Development
Starting at $12,000
Production AI chatbot for customer support, sales, or internal use. Includes RAG integration, multi-channel deployment, and analytics. Delivered in 2 to 4 weeks.
Learn more →AI Integration Sprint
Starting at $15,000
Add AI capabilities to your existing SaaS product. Covers API design, data pipeline, model integration, testing, and production deployment. Delivered in 3 to 6 weeks.
Learn more →AI Managed Pod
$12,000/month
Dedicated AI engineering team working as an extension of your product team. Continuous feature development, model improvements, and production monitoring.
Learn more →Why SaaS Companies Choose Salt Technologies AI
We Ship Production AI, Not Demos
Every system we build is production-grade with monitoring, error handling, evaluation frameworks, and documentation. We do not build prototypes that need to be rebuilt.
SaaS Product Experience
Backed by Salt Technologies with 14+ years of software engineering and 50+ SaaS products built. We understand multi-tenancy, API design, scalability, and the product lifecycle.
Fixed Pricing, Predictable Timelines
Our productized packages have clear scope, fixed prices, and defined timelines. No open-ended hourly billing. You know exactly what you are paying for and when you will have it.
Knowledge Transfer Built In
We document everything and train your engineering team on the systems we build. You own the code, understand the architecture, and can maintain it independently.
Flexible Engagement Models
Start with a $3,000 audit, validate with an $8,000 proof of concept, build with a fixed-price package, or scale with a dedicated $12,000/month managed pod. Grow at your pace.
Frequently Asked Questions
What AI features can be added to a SaaS product?
How much does it cost to add AI to a SaaS product?
Will adding AI features slow down our SaaS product?
How long does it take to integrate AI into an existing SaaS platform?
Do you work with early-stage or enterprise SaaS companies?
Add AI to your SaaS product
Start with a $3,000 AI Readiness Audit. Get a clear plan for AI features in 1-2 weeks.