AI Integration Sprint
Add AI features to your existing product. No rewrite needed. Shipped in 4 weeks.
14+
Years of Experience
800+
Projects Delivered
100+
Engineers
4.9★
Clutch Rating
You do not need to rebuild your product to add AI capabilities. The AI Integration Sprint adds intelligent features to your existing codebase: smarter search, content generation, document processing, predictive analytics, and more. We work in your repository, follow your coding standards, and submit production-ready code with tests and documentation. Your tech stack stays the same. We adapt to it.
Why Most AI Integration Projects Fail
Adding AI to an existing product seems straightforward. In practice, most teams underestimate the complexity and end up wasting months and budget on approaches that do not work.
The "rip and replace" trap
Teams assume they need to rebuild their product architecture to add AI. They start a 6-month rewrite, burn through budget, and ship nothing. Your existing architecture can support AI features with the right integration approach. A rewrite is almost never necessary.
AI features that work in demos but fail in production
A Jupyter notebook proof of concept is not production code. Without proper error handling, rate limit management, latency optimization, and fallback logic, AI features break under real load. Your users see timeouts, hallucinated responses, or blank screens.
Solo freelancers who cannot navigate your codebase
You hire an "AI expert" who knows Python and LLM APIs but cannot work in your React/Node.js monorepo, does not understand your data model, and delivers a standalone script instead of integrated code. Now your team has to redo the integration themselves.
Vendor lock-in from AI platform add-ons
AI features bolted on via third-party platforms (Salesforce Einstein, HubSpot AI, etc.) give you limited customization, unpredictable pricing as usage grows, and zero portability. When your needs outgrow the platform, you start from scratch.
The cost of getting it wrong: A failed AI integration project wastes $30,000 to $100,000 in engineering time and opportunity cost. Worse, it creates internal skepticism about AI that delays adoption by 6 to 12 months while competitors ship AI-powered features.
The solution: A structured 4-week sprint with a full-stack AI team that works in your codebase, follows your coding standards, and ships production-ready AI features with tests, documentation, error handling, and monitoring. Fixed scope, fixed price, no surprises.
What Is an AI Integration Sprint?
An AI Integration Sprint is a fixed-scope, 4-week engagement where a dedicated AI engineering team adds intelligent features to your existing product or platform. Unlike a ground-up rebuild, the sprint works within your current architecture, your repository, and your tech stack. The result is production-ready AI capabilities shipped as reviewed, tested, and documented pull requests.
At Salt Technologies AI, our integration sprints combine large language models (OpenAI GPT-4o, Anthropic Claude, Google Gemini) with custom prompt engineering, evaluation frameworks, and production-grade infrastructure. We handle the full integration lifecycle: codebase review, API design, data pipeline construction, prompt optimization, error handling, performance testing, and deployment. Your team reviews every PR and owns all code from day one.
Common AI features we integrate include semantic search, content generation, document processing, predictive analytics, natural language interfaces, and intelligent classification. Each feature is designed to work with your existing data, your existing user experience, and your existing deployment pipeline. No new infrastructure to manage, no separate AI service to maintain.
4 Weeks
From Kickoff to Production
1-3 Features
Shipped Per Sprint
Zero Rewrites
Works With Your Stack
The Business Impact of Adding AI to Your Product
AI features are no longer a "nice to have." They are a competitive differentiator. Here is what businesses see after integrating AI into their existing products.
Increased User Engagement
Products with AI-powered search, recommendations, and content generation see 20-40% increases in user engagement and time-on-platform.
20-40%
More engagement
2-3x
Feature adoption
Reduced Manual Work
AI-powered document processing, classification, and data extraction eliminate hours of repetitive manual work, freeing your team to focus on high-value tasks.
60-80%
Less manual processing
5-10x
Faster data extraction
Revenue Uplift
AI-powered recommendations, personalization, and smart search directly increase conversion rates and average order values. SaaS products with AI features command higher pricing tiers.
10-25%
Conversion lift
15-30%
Higher ARPU
Competitive Advantage
In 2026, users expect AI-powered features. Products without smart search, content generation, or predictive analytics are losing deals to competitors who have them.
73%
Of buyers prefer AI features
4 Weeks
To close the gap
Metrics based on industry benchmarks and client engagement data. Actual results depend on product type, user base, and implementation scope.
We will identify the highest-impact AI features for your product on the discovery call.
Is AI Integration Right for You?
The AI Integration Sprint is designed for product teams that have a working product and want to add AI capabilities without disrupting what already works.
- You have an existing product or platform and want to add AI features
- You do not want to rebuild your application from scratch
- You need AI features that work with your existing data and workflows
- You want it shipped fast, by a team that has done it before
If two or more sound like you, let's talk.
Book a Free Discovery CallAI Integration Use Cases
These are the AI features we most commonly integrate into existing products. Each one is designed to layer into your current architecture without a rewrite.
AI-Powered Semantic Search
Replace keyword search with AI-powered semantic search that understands meaning, not just exact matches. Users find what they need even when they do not know the exact terminology.
Content Generation and Summarization
Integrate AI writing, summarization, or translation features directly into your platform. Let users generate drafts, summaries, or translations from within your product.
Document Processing and Data Extraction
Automate extraction of structured data from uploaded documents: invoices, contracts, forms, and reports. Eliminate manual data entry with AI that reads and classifies documents.
Predictive Analytics and Recommendations
Add forecasting, anomaly detection, or recommendation engines to your existing analytics dashboards. Turn historical data into actionable predictions your users can act on.
Natural Language Interfaces
Add natural language query capabilities to dashboards, admin panels, or data tools. Let users ask questions like "Show me last month revenue by region" and get instant results from your database.
Intelligent Classification and Routing
Automatically categorize, tag, and route incoming content: support tickets, form submissions, emails, or user-generated content. Reduce manual triage time by 80% or more with AI that learns your taxonomy.
What's Included in Your AI Integration Sprint
Eight deliverables. Production-ready from day one. Everything you need to ship AI features that work in your existing product.
AI Features Integrated Into Your Codebase
Production-ready AI capabilities added directly to your existing repository. Submitted as reviewed pull requests that follow your coding standards, pass your CI/CD pipeline, and are ready to merge.
API Endpoints for AI Capabilities
Clean, documented REST or GraphQL endpoints that expose AI features to your frontend, mobile app, or third-party integrations. Designed with rate limiting, authentication, and versioning from the start.
Data Pipeline for AI Model Inputs
Automated pipeline that prepares your existing data for AI consumption. Handles data extraction, transformation, embedding generation, and indexing so AI features always work with fresh, accurate data.
Prompt Engineering and Evaluation Suite
Optimized prompts with systematic evaluation: test datasets, accuracy benchmarks, regression tests, and a framework for your team to iterate on prompts after handoff. No guesswork, just measured, repeatable AI quality.
Error Handling and Fallback Logic
Production-grade error handling for every failure mode: API timeouts, rate limits, model unavailability, malformed inputs, and edge cases. Graceful degradation ensures your product never breaks because of an AI service outage.
Performance Testing and Optimization
Load testing, latency profiling, and cost optimization for every AI endpoint. We ensure AI features respond within your UX requirements and optimize model selection and caching to minimize API costs.
Monitoring and Observability
Dashboards and alerts for AI feature health: response times, error rates, API costs, model accuracy, and usage patterns. Know exactly how your AI features are performing and what they cost, in real time.
Documentation and Team Handoff
Complete documentation covering architecture decisions, API usage, prompt engineering guidelines, and troubleshooting playbooks. We do PR reviews with your team so they understand every integration point and can extend it independently.
How AI Integration Works
Codebase Review
2-3 daysUnderstand your architecture, identify the best integration points.
AI Feature Design
2-3 daysDefine AI capabilities, user experience, and data flow.
Integration Sprint
2-3 weeksBuild, test, and integrate AI features into your codebase.
QA and Deployment
2-3 daysEnd-to-end testing, staging review, and production deployment.
Ready to add AI features to your product? Book a free 30-minute discovery call to scope your integration.
Book a Free Discovery CallAI Integration Sprint vs. Other Approaches
You have options for adding AI to your product. Here is how they compare on the dimensions that actually matter.
Salt Technologies AI
AI Integration Sprint
$15,000
Fixed price
4 weeks
To production
AI Eng + QA + Tech Lead
Full team, not a solo freelancer
Works in your codebase
PRs, your standards, your repo
Production-ready with tests
Unit tests, integration tests, docs
Error handling and monitoring
Fallbacks, observability, cost tracking
Fixed scope, fixed price
You know the cost before work begins
You own all code and IP
No vendor lock-in, no licensing fees
AI Freelancers
Upwork / Toptal
$10-30K
Hourly billing
6-12 wks
Scope creep risk
Single person, no QA
No oversight, no team structure
Sometimes works in your repo
Often delivers standalone scripts
Prototype-quality code
Notebooks and scripts, not production
No error handling or monitoring
Breaks under real production load
Hourly billing, scope creep
Final cost is unpredictable
You own the code
If contract terms are clear
Build In-House
Hire AI engineers
$150K+
Annual salary
3-6 mo
Hire + ramp up
Must hire, onboard, manage
3-6 months before any code ships
Works in your codebase
Full-time team member
Quality depends on hire
No guarantee until months in
Monitoring varies by skill
Depends entirely on who you hire
Highest risk, highest cost
Bad hire = 6+ months wasted
You own the code
Built by your employee
Bottom line: The AI Integration Sprint gives you a structured team, fixed timeline, and production-ready code at a fraction of the cost and risk of hiring in-house. Unlike freelancers, we deliver tested, documented code that your team can maintain and extend.
AI Integration Services: Pricing and Timeline
Timeline
4 weeks
Starting At
$15,000
What Affects AI Integration Cost
- Codebase complexity and tech stack
- Number of AI features to integrate
- Data preparation requirements
- Testing and compliance requirements
Get a fixed quote for your AI integration project
Tell us about your product, tech stack, and the AI features you want to add. We scope the sprint, give you an exact price and timeline, and identify the highest-impact features to ship first.
Book a Free ConsultationAI Integration by Industry
Every industry has different AI integration opportunities. We tailor the sprint to your domain, your data, and your compliance requirements.
AI Integration for SaaS Products
Add AI-powered search, content generation, in-app copilots, and smart recommendations to your SaaS platform. Increase user engagement and reduce churn with AI features your competitors are already shipping.
Learn more about AI for SaaSAI Integration for Healthcare
Integrate HIPAA-compliant AI features into EHR systems, patient portals, and clinical tools. Document processing, clinical note summarization, medical coding assistance, and intelligent triage built with PHI-safe architecture.
Learn more about AI for HealthcareAI Integration for Fintech
Add AI-powered fraud detection, risk scoring, document verification, and intelligent customer service to your financial platform. SOC2 and PCI-DSS compliant integration with full audit trails.
Learn more about AI for FintechAI Integration for E-commerce
Integrate AI-powered product recommendations, semantic product search, automated product descriptions, and dynamic pricing into your e-commerce platform. Boost conversion rates and average order values.
Learn more about AI for E-commerceAI Integration Technology Stack
We select the optimal AI models, frameworks, and tools based on your product's requirements, your existing stack, and your performance, cost, and privacy constraints. Every integration is built to work with your technology, not replace it.
Why Choose Salt Technologies AI for AI Integration
We are not a generic dev shop bolting on API calls. Here is what makes our AI integration services different from every other option.
We Work in Your Codebase
We follow your coding standards, use your review process, and submit PRs your team can review. No black-box deliverables or separate repositories.
Production-Ready Code With Tests
Every line of code comes with unit tests, integration tests, and documentation. We ship production-grade code, not throwaway scripts or notebooks.
Full-Stack AI Team
Your sprint includes an AI engineer, QA specialist, and tech lead. Not a solo freelancer figuring things out. A structured team with defined roles and accountability.
We Adapt to Your Stack
We work with React, Next.js, Vue, Angular, Node.js, Python, Ruby, Go, Java, AWS, Azure, GCP, and more. The "integration" part means we adapt to your technology, not the other way around.
14+
Years of Experience
800+
Projects Delivered
100+
Engineers
4.9★
Clutch Rating
AI Integration Services: Frequently Asked Questions
How much does AI integration cost?
Will you need access to our source code?
What AI features can you add to an existing product?
How is this different from hiring AI freelancers?
Do you support my tech stack?
What happens if the AI feature needs changes after delivery?
Can you integrate AI into a legacy or messy codebase?
How do you handle data privacy when accessing our codebase?
Can you integrate multiple AI features in one sprint?
What LLMs and AI models do you use for integration?
How do you handle AI API costs and rate limits?
Choose Your Starting Point
Most clients jump straight into the AI Integration Sprint. But if you need to validate first or want ongoing development after the sprint, we have paths for that too.
AI Readiness Audit
Not sure which AI features will deliver the highest ROI? We audit your product, data, and workflows to identify the 3-5 highest-impact AI opportunities before you commit to a sprint.
AI Integration Sprint
Go straight to production. AI features integrated into your codebase in 4 weeks. Tested, documented, and ready to ship. Most clients with a clear use case start here.
AI Managed Pod
Ongoing AI development: more features, optimization, new models, and continuous iteration. A dedicated AI engineering team that ships every sprint.
Need a quick prototype first? Our AI PoC Sprint ($8,000) builds a working prototype with your real data so you can validate AI feasibility before committing to a full integration sprint.
No obligation to continue after any step. You own every deliverable.
View All AI ServicesGetting Started Is Simple
No lengthy procurement process. No upfront commitment.
Book a Free Call
30-minute discovery call. Walk us through your product, your tech stack, and the AI features you want to add. No sales pitch, no pressure.
Get a Fixed Quote
We review your codebase at a high level, scope the AI features, and give you an exact price and timeline. No hourly billing. No surprises. You approve before we start.
We Integrate and Ship
Work begins immediately. You see progress through PRs, demos, and daily updates. In 4 weeks, your AI features are live and your team owns everything.
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Your Competitors Are Already Shipping AI Features
Every month without AI-powered features is users lost to competitors who have them. A $15,000 integration sprint adds AI to your product in 4 weeks. Book a free 30-minute call and we will identify the highest-impact features to ship first.