Capabilities / AI integration company

AI Integration & RAG

We design and build custom AI-powered applications that automate manual tasks, analyze unstructured data, and provide smart answers. Leveraging Retrieval-Augmented Generation (RAG), vector databases (Pinecone, pgvector), and state-of-the-art LLMs (OpenAI, Gemini), we build private, secure systems that convert company files into actionable knowledge bases.

Sub-Second
Response Latency
70% Repeat Work
Tasks Automated
Up to 50%
Model Cost Cut
SOC2 Compliant
Data Safety

Core Capabilities & Sub-Services

LLM API Integration & Tuning

Integrate advanced language models (GPT-4o, Claude 3.5, Gemini 1.5) into your existing Next.js or Laravel applications via secure middleware.

OpenAI / Anthropic APIs
Token usage optimization
Prompt engineering & testing
Fine-tuning & model selection

Retrieval-Augmented Generation (RAG)

Connect LLMs directly to your internal documents, PDFs, databases, and policies. Provide answers grounded in your custom business data.

Vector database setup (pgvector, Pinecone)
Chunking & embedding pipelines
Hybrid search & re-ranking
Sources citation integration

AI Chatbots & Intelligent Agents

Automate customer support and sales qualifying with agents that understand product catalogs, schedule calls, and resolve user issues.

Function calling / tool use
Conversation memory storage
Multi-modal inputs (Image/Voice)
CRM auto-updates

Business Workflow Automation & RPA

Automate boring, repetitive office tasks like scanning invoice PDFs, summarizing emails, categorizing support tickets, and writing reports.

Document OCR parsing
Email routing engines
Webhook workflows (Make/n8n)
Data extraction & sanitization

AI ERP & Analytics Custom Integrations

Provide natural language interfaces for your database reports. Ask "Show me sales in Thane for last month" and get real-time SQL visualizations.

Text-to-SQL generation
Semantic search systems
Custom dashboard graphics
Insight report automation

Our Strategic Advantages

Growth Calculation

AI customer support responds to queries in under 5 seconds, resolving up to 70% of repeat questions and qualifying leads 24/7.

Expected Outcome: 90% Faster Customer Response

Monetary Planning

By automating data entry, document review, and first-line support, we help you reduce employee hours spent on repetitive admin work.

Expected Outcome: 60% Drop in Admin Labor Hours

Innovative Solutions

We build advanced semantic search search systems that find the correct information in vast company wikis instantly, using context instead of keywords.

Expected Outcome: Context-Aware Semantic Search

Certified Techniques

We keep your business data private. We design setups where company data is never used to train public LLM models, complying with GDPR.

Expected Outcome: GDPR-Compliant Private AI Setups

Frequently Asked Questions

What is Retrieval-Augmented Generation (RAG) and why do I need it?
RAG is a technique that supplies an LLM with relevant excerpts of your private company documents before it answers a question. This guarantees the chatbot bases its answers on your actual data, prevents it from hallucinating, and allows it to cite exact sources.
Is our sensitive company and customer data kept private?
Yes. We utilize API connections with enterprise data privacy policies where inputs are never logged or used to train public models. For maximum security, we can deploy open-source LLMs (like Llama 3) inside your private AWS/GCP cloud environments.
How long does it take to integrate a custom AI agent into our system?
A standard LLM integration or chatbot connecting to a document repository takes 4–6 weeks. Complex multi-agent systems or automated ERP workflows run 8–12 weeks.
Can you integrate AI capabilities into our existing software systems?
Yes. We build APIs and middleware that plug directly into existing websites, legacy databases, ERP systems, Slack workspace channels, and custom management dashboards.

Why Choose Our AI Integration & RAG

We design and build custom AI-powered applications that automate manual tasks, analyze unstructured data, and provide smart answers. Leveraging Retrieval-Augmented Generation (RAG), vector databases (Pinecone, pgvector), and state-of-the-art LLMs (OpenAI, Gemini), we build private, secure systems that convert company files into actionable knowledge bases.

Our ai integration practice combines deep technical expertise with practical business outcomes that directly impact your bottom line. Unlike generic agencies that apply the same approach to every client regardless of context, we tailor our methodology to your specific industry dynamics, business size, growth stage, and competitive landscape.

Every engagement is structured around measurable results. From Core Web Vitals scores that directly impact Google search rankings, to conversion rate improvements that drive revenue growth, to infrastructure cost reductions that improve your margins — we focus on outcomes that matter to your business. We do not just build websites or applications; we build digital assets that generate measurable business value and sustainable competitive advantage.

Our AI Integration & RAG Process

We follow a proven, six-phase methodology that has been refined across hundreds of successful engagements. This structured approach ensures predictability, quality, and measurable results:

Phase 1: Discovery & Technical Audit

We begin by thoroughly understanding your business goals, target audience, technical stack, and competitive landscape. This phase includes stakeholder interviews with key decision-makers, comprehensive code review to assess technical debt, performance benchmarking against industry standards and competitors, and SEO analysis to establish a baseline for ranking improvements. The output is a detailed audit report with prioritised recommendations.

Phase 2: Strategy & Architecture Design

Based on our comprehensive findings, we design a detailed solution architecture covering technology selection with rationale, system design and component interaction, data flow patterns and API design, security protocols and compliance requirements, and scalability planning for future growth. This phase produces a clear roadmap with timeline estimates, resource allocation, and milestone definitions.

Phase 3: Design & Prototyping

Our design team creates high-fidelity mockups and interactive prototypes that are tested with real users before a single line of production code is written. We iterate on design based on user feedback and usability testing results, ensuring the final product truly serves its intended audience. The design phase also produces a comprehensive design system and component library for consistency.

Phase 4: Agile Development & Quality Assurance

We build in two-week sprints with daily stand-ups, weekly stakeholder demos, and continuous integration pipelines that run automated tests on every commit. Every feature passes through multiple quality gates: automated unit and integration tests, manual code review by senior engineers, QA testing across devices and browsers, and performance regression checks. Our development process emphasises code quality, comprehensive documentation, and long-term maintainability.

Phase 5: Launch & Performance Optimisation

We deploy using zero-downtime strategies such as blue-green deployment or canary releases. We configure CDN and caching layers for optimal global performance, optimise every asset for Core Web Vitals compliance, set up comprehensive monitoring dashboards with Datadog, Sentry, or New Relic, and run load testing to validate performance under stress. Post-launch, we track key metrics including LCP, CLS, INP, and conversion rates and iterate based on real user behaviour data.

Phase 6: Ongoing Support & Continuous Improvement

Our engagement does not end at launch. We offer flexible retainer packages covering security patches and vulnerability management, performance monitoring and optimisation, content updates and feature enhancements, SEO maintenance and content strategy, and regular strategic reviews to identify new growth opportunities. We remain your long-term technical partner for sustainable growth.

Core Capabilities

Our ai integration practice encompasses the following core capabilities, each delivered by specialists with deep domain expertise:

LLM API Integration & Tuning

Integrate advanced language models (GPT-4o, Claude 3.5, Gemini 1.5) into your existing Next.js or Laravel applications via secure middleware.

Key features: OpenAI / Anthropic APIs, Token usage optimization, Prompt engineering & testing, Fine-tuning & model selection

Retrieval-Augmented Generation (RAG)

Connect LLMs directly to your internal documents, PDFs, databases, and policies. Provide answers grounded in your custom business data.

Key features: Vector database setup (pgvector, Pinecone), Chunking & embedding pipelines, Hybrid search & re-ranking, Sources citation integration

AI Chatbots & Intelligent Agents

Automate customer support and sales qualifying with agents that understand product catalogs, schedule calls, and resolve user issues.

Key features: Function calling / tool use, Conversation memory storage, Multi-modal inputs (Image/Voice), CRM auto-updates

Business Workflow Automation & RPA

Automate boring, repetitive office tasks like scanning invoice PDFs, summarizing emails, categorizing support tickets, and writing reports.

Key features: Document OCR parsing, Email routing engines, Webhook workflows (Make/n8n), Data extraction & sanitization

AI ERP & Analytics Custom Integrations

Provide natural language interfaces for your database reports. Ask "Show me sales in Thane for last month" and get real-time SQL visualizations.

Key features: Text-to-SQL generation, Semantic search systems, Custom dashboard graphics, Insight report automation

Industries We Serve

Our ai integration expertise spans multiple industry verticals. Each vertical has unique requirements, compliance considerations, and competitive dynamics that inform our approach:

  • Customer Support — AI chatbots that resolve 70% of inquiries without human intervention, with escalation workflows for complex issues and sentiment analysis.
  • Document Processing — Automated extraction and classification of invoices, contracts, forms, and reports using OCR and natural language understanding.
  • Content Generation — AI-assisted blog writing, social media content creation, product description generation, and email campaign drafting with brand voice consistency.
  • Data Analytics — Natural language querying of business databases enabling non-technical team members to generate insights without writing SQL queries.
  • Recruitment — AI-powered resume screening, candidate matching based on skill requirements, automated interview scheduling, and onboarding workflow automation.
  • Legal & Compliance — Contract analysis, clause extraction, regulatory compliance checking, and document review automation for legal departments.

Each engagement is tailored to the specific regulatory environment, competitive dynamics, and operational requirements of your industry. We bring deep domain knowledge combined with technical excellence to every project, ensuring solutions that are not just technically sound but also commercially effective.

Strategic Advantages

Our ai integration services deliver tangible benefits that directly impact your business performance:

Growth Calculation

AI customer support responds to queries in under 5 seconds, resolving up to 70% of repeat questions and qualifying leads 24/7.

Expected outcome: 90% Faster Customer Response

Monetary Planning

By automating data entry, document review, and first-line support, we help you reduce employee hours spent on repetitive admin work.

Expected outcome: 60% Drop in Admin Labor Hours

Innovative Solutions

We build advanced semantic search search systems that find the correct information in vast company wikis instantly, using context instead of keywords.

Expected outcome: Context-Aware Semantic Search

Certified Techniques

We keep your business data private. We design setups where company data is never used to train public LLM models, complying with GDPR.

Expected outcome: GDPR-Compliant Private AI Setups

Technology Stack

We leverage modern, battle-tested technologies selected for their performance, security, scalability, and developer ecosystem. Our technology choices are driven by your specific requirements rather than rigid preferences:

| Category | Technologies | |----------|-------------| | LLMs | OpenAI GPT-4o, Anthropic Claude, Google Gemini | | Vector Databases | Pinecone, pgvector, Weaviate, Chroma | | Frameworks | LangChain, LlamaIndex, Haystack | | Orchestration | n8n, Make, Custom AI agents | | Deployment | AWS Bedrock, GCP Vertex AI, Azure AI | | Monitoring | LangSmith, Weights & Biases, Custom dashboards |

Our team maintains deep expertise across this technology stack, with certifications in AWS, Google Cloud, Kubernetes, and multiple programming languages and frameworks.

Why Businesses Trust ShellProp

Our track record and client relationships speak to the quality and reliability of our ai integration services:

  • Senior-led engineering — Every project is directly managed by a solutions architect with 10+ years of software engineering and digital strategy experience, not a junior account manager
  • Performance-first approach — Our websites and applications consistently achieve 95+ scores on Google Core Web Vitals, directly improving search rankings and user engagement metrics
  • White-hat SEO practices — 100% Google Search Essentials-compliant strategies that build sustainable, long-term rankings without penalty risk
  • Security by design — OWASP Top 10 security standards enforced at every layer of the technology stack, from application code to cloud infrastructure
  • Proven results — 4.9/5 client rating with documented case studies showing measurable business outcomes across multiple industries
  • Transparent pricing — Fixed-price and time-and-materials options with clear milestone payments, no hidden fees, and full IP ownership retained by you
  • Indian delivery team — Cost-effective access to senior Indian engineering talent with deep understanding of local business context

Service Packages

We offer flexible engagement models designed to match your budget, timeline, and complexity requirements:

| Package | Best For | Typical Investment | Timeline | Support | |---------|----------|-------------------|----------|---------| | Starter | New businesses, simple websites | ₹50,000 - ₹1,50,000 | 2-4 weeks | 1 month | | Growth | Growing companies, platform builds | ₹1,50,000 - ₹5,00,000 | 4-8 weeks | 3 months | | Enterprise | Complex platforms, custom applications | ₹5,00,000+ | 8-20 weeks | 6 months |

Every package includes a free initial consultation, detailed project roadmap, comprehensive documentation, and post-launch support period. Custom packages are available for organisations with specific requirements.

Frequently Asked Questions

What is Retrieval-Augmented Generation (RAG) and why do I need it?

RAG is a technique that supplies an LLM with relevant excerpts of your private company documents before it answers a question. This guarantees the chatbot bases its answers on your actual data, prevents it from hallucinating, and allows it to cite exact sources.

Is our sensitive company and customer data kept private?

Yes. We utilize API connections with enterprise data privacy policies where inputs are never logged or used to train public models. For maximum security, we can deploy open-source LLMs (like Llama 3) inside your private AWS/GCP cloud environments.

How long does it take to integrate a custom AI agent into our system?

A standard LLM integration or chatbot connecting to a document repository takes 4–6 weeks. Complex multi-agent systems or automated ERP workflows run 8–12 weeks.

Can you integrate AI capabilities into our existing software systems?

Yes. We build APIs and middleware that plug directly into existing websites, legacy databases, ERP systems, Slack workspace channels, and custom management dashboards.

Get Started with AI Integration

Ready to transform your digital presence with expert ai integration? Contact our senior engineering team for a free, no-obligation consultation and comprehensive technical assessment. During the consultation, we will:

  1. Discuss your project requirements, goals, timeline expectations, and budget
  2. Answer your technical questions and provide expert guidance on approach
  3. Outline a proposed solution architecture and delivery approach
  4. Provide a transparent cost estimate and project timeline

We look forward to partnering with you on your digital transformation journey.

Serving Locations Across Mumbai

Our services are tailored for businesses throughout the Mumbai Metropolitan Region (MMR). Select your location to view localized service plans and insights.