AI & Intelligent Automation

Turn your systems into decision-making engines — not just tools.

We design and deploy AI solutions that go beyond chatbots — from CRM copilots and LLM integrations to RAG pipelines and predictive analytics. Using Gemini, Claude, OpenAI, Einstein AI, and AWS AI services, we build intelligent automation that understands your business context and drives real outcomes.

6Capabilities
3Specialized Services
What We Deliver

Our Capabilities

01

AI Assistants & Copilots

Build intelligent assistants embedded directly into your business tools — Salesforce, Slack, web apps, and mobile. These aren't generic chatbots; they understand your CRM data, customer history, and business rules to provide contextual, actionable responses.

  • CRM copilots inside Salesforce for sales, support, and operations teams
  • Internal AI assistants for teams via Slack, web apps, and mobile apps
  • Chatbots with real business context — connected to your data, not generic responses
  • Multi-turn conversations with memory and context awareness
  • Role-based AI assistants with appropriate data access controls
Einstein AIAgentforceSalesforceSlack
AI Assistants & Copilots
02

LLM Integrations

Integrate leading large language models into your existing systems. We design multi-model architectures that use the best model for each use case — whether it's Gemini for multimodal tasks, Claude for analysis, or GPT for content generation.

  • Gemini, Claude, OpenAI (GPT-4o), and open-source model integrations
  • Multi-model architecture — use the best model per use case automatically
  • Prompt engineering and response optimization for accuracy and cost
  • Fine-tuning and custom model training for domain-specific tasks
  • Token optimization and cost management across providers
OpenAIGoogle CloudAWS
LLM Integrations
03

AI Automation

Automate repetitive knowledge work with AI-powered workflows. From drafting emails and summarizing cases to processing documents and triggering intelligent actions — we connect AI to your business processes for measurable efficiency gains.

  • Auto email drafting, summarization, and case resolution
  • Intelligent workflows combining AI + Salesforce Flows + AWS Lambda
  • Document processing for contracts, invoices, PDFs, and forms
  • Automated data extraction, classification, and routing
  • AI-triggered alerts and escalations based on pattern recognition
FlowAWSSalesforce
AI Automation
04

RAG (Retrieval-Augmented Generation)

Connect AI models to your proprietary business data — Salesforce records, databases, documents, and knowledge bases. RAG ensures AI responses are grounded in your actual data, not hallucinated, with enterprise-grade security.

  • Connect AI to your business data (Salesforce, databases, documents)
  • Private knowledge base chatbots for internal teams and customers
  • Secure, context-aware responses with source citations
  • Hybrid search combining semantic and keyword matching
  • Real-time data synchronization with vector stores
AWSGoogle CloudSalesforce
RAG (Retrieval-Augmented Generation)
05

AI + Data Intelligence

Transform raw data into predictive insights and actionable intelligence. From sales forecasting and churn prediction to recommendation engines and sentiment analysis — we build AI models that directly impact business KPIs.

  • Predictive analytics for sales forecasting, churn, and lead scoring
  • Recommendation systems for products, content, and next-best actions
  • NLP, sentiment analysis, and text classification
  • Customer 360 intelligence with AI-powered segmentation
  • Real-time anomaly detection and alerting
Einstein AITableauGoogle Cloud
AI + Data Intelligence
06

AI Infrastructure

Build the foundation for scalable, production-grade AI — vector databases, model orchestration, API gateways, and inference pipelines. We architect AI infrastructure on AWS and GCP that handles enterprise workloads reliably.

  • Vector databases (Pinecone, Weaviate, OpenSearch, pgvector)
  • Model orchestration and API gateway design
  • Scalable AI pipelines on AWS SageMaker and GCP Vertex AI
  • GPU/TPU infrastructure optimization for training and inference
  • AI observability — monitoring latency, accuracy, and cost
AWSGoogle Cloud
AI Infrastructure