Leobit
Agentic AI
Development
Services
Build autonomous and goal-driven systems with agentic AI. We create systems that reason, use tools, and handle multi-step workflows, allowing you to move beyond automation to a full-fledged AI transformation.
Digital & App Innovation
Top Azure Company
Top Cloud Consulting Company
40+
Azure and AWS certified specialists
ISO 9001:2015
ISO 27001:2022
Silver Stevie Award 2025
Top 1000 Companies 2025
Top .NET Developer 2025
Global Business Tech Awards
Apps & Software
Digital & App Innovation
Platinum Partner
When Agentic AI Is the Right Choice
Agentic AI can independently analyze the environment or inputs, develop autonomous reasoning, take action on its own, and proactively adapt to the changing conditions to achieve your business goals.
We recommend Agentic AI when your project requires:
- Intelligent workflow orchestration
- Adaptive multi-step decision-making
- Autonomous task execution with APIs
- AI-driven engagement that scales
Combined with LLMs, RAG pipelines, and enterprise APIs, agentic AI sets the foundation for an intelligent operations layer that continuously learns and delivers results.
AI Solutions We Provide
Custom AI Agent Development
Dedicated AI Developers & Teams
Multi-Agent System Architecture
RAG Pipeline Integration
Knowledge Base Integration
Autonomous Workflow Automation
LLM Integration
Prompt Engineering
AI Workflow Audit & Optimization
AI Workflow Reengineering
AI Model Tuning & Support
Key Benefits of Agentic AI
Agentic AI doesn’t just respond. It plans, executes, and adapts. We build systems that work autonomously so your team can focus on what matters.
Autonomous Decision-Making
Adaptive Multi-Step Reasoning
Scalable Workflow Orchestration
Multi-Agent Coordination
Continuous Learning & Retention
RAG-Powered Intelligence
Feedback-Loop Self-Improvement
Seamless API Integration
Real-Time Data Processing
Agentic AI Stack
We Cover
Agent Frameworks
- LangChain
- LangGraph
- CrewAI
- AutoGen (Microsoft)
- Semantic Kernel
- Haystack
- SuperAGI
- smolagents
- OpenAI Agents SDK
- MetaGPT
Foundation Models (LLMs)
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Grok
- Meta Llama
- Mistral
- DeepSeek
RAG & Knowledge Layer
- LlamaIndex, Haystack
- Vector DBs: Pinecone, Weaviate, ChromaDB
- Embeddings: OpenAI, Cohere
- Agentic RAG, Hybrid Search
Multi-Agent Orchestration
- MCP Protocol
- Agent-to-Agent Comms
- Workflow Orchestration
- n8n, Zapier AI
- Copilot Studio
- ServiceNow AI Agents
Observability & Safety
- Guardrails AI, NeMo Guardrails
- Human-in-the-Loop Workflows
- Prompt Monitoring, Red Teaming
- LangSmith, Weights & Biases
Azure AI Services We Integrate
- Microsoft Azure provides a full suite of managed AI services, covering cognitive APIs, machine learning, and advanced conversational AI tools.
- These services provide features for speech recognition, natural language processing, computer vision, anomaly detection, and predictive modelling.
- Each service can be used independently or combined with other Azure components to build tailored AI solutions for document processing, intelligent search, sentiment analysis, recommendation engines, conversational interfaces, and many more.
Azure Cognitive Services
Vision, speech, and language capabilities available as ready-to-use APIs
Azure Machine Learning
End-to-end development, training, and deployment of ML models
Azure OpenAI
Service
Access to production-grade language models, such as GPT-4
Azure Bot
Service
Development and management of intelligent conversational agents
Azure Synapse Analytics
Advanced features for big data processing and data warehousing
Azure
Databricks
Collaborative analytics environment built on Apache Spark
Azure Cognitive
Search
AI-powered search with semantic understanding and vector capabilities
Azure Metrics
Advisor
Automated anomaly monitoring and root-cause diagnostics for time-series data
Azure Anomaly Detector
Detection of irregularities in time-series data without manual threshold-setting
Azure Video
Analyzer
Extraction of structured, AI-generated insights from video content
Azure
Percept
Rapid deployment of AI models to edge devices
Applying Agentic AI
Across Key Industries
Logistics & Supply Chain
Optimize routes autonomously, forecast demand, and track shipments in real time.
Finance & FinTech
Detect fraud, automate trading, assess risk, and ensure regulatory compliance.
Real Estate & PropTech
Automate property valuation, analyze markets, and streamline tenant management.
Healthcare
Accelerate medical coding, schedule appointments, and support clinical decisions.
LegalTech
Review contracts, analyze case law, draft documents, and monitor compliance.
Insurance & InsurTech
Process claims, automate underwriting, detect fraud, and manage policies.
Manufacturing & Industrial IoT
Predict maintenance needs, control quality, and optimize production schedules.
.case studies
AI/LLM Sales Email Auto-Response Solution
The AI Sales Email Auto-Response Solution, or “Leo — Leobit AI,” automates responding to incoming sales emails and website form submissions using GPT technology. It filters and scores leads before generating accurate and personalized responses within minutes, freeing time for sales representatives and ensuring prompt engagement with potential clients.
AI/LLM Sales Email Auto-Response Solution
Leona — AI RFP scoring, proposal generation & bidding solution
Intelligent Shipping Orchestration Platform
Software Development Cost Calculator
Leonardo: Leobit’s AI-Powered HR Assistant
Why Choose Leobit for Agentic AI Development
- Over 40 Agentic AI projects delivered for industries like fintech, insurtech, proptech, and legaltech.
- 6+ years of experience with AI solutions.
- Microsoft Solutions Partner for Digital & App Innovation and Data & AI , ISO 9001:2015 & ISO 27001:2022 certified, ISTQB Gold Partner.
- Compliant with HIPAA, GDPR, CCPA, and OWASP.
- Global Tech Award 2025 winner for AI Excellence with Corporate LLM Innovation.
- Silver Stevie Award 2024/2025 winner.
- Recognized among Clutch’s Top 1000 Companies.
- Company with an internal Center of Excellence.
FAQ
Traditional automation follows predefined scripts and fails outside expected scenarios. Meanwhile, agentic AI combines reasoning, context awareness, and tool use, which allows such systems to:
- Adapt to new inputs
- Make multi-step decisions
- Coordinate across systems
- Handle semi-structured or unstructured data
Simple and straightforward workflows often don’t require agentic AI and can be handled with regular generative AI solutions or traditional automation tools. To determine whether agentic AI is the right fit for your business needs, we run a discovery phase during which our specialists assess your workflows, data maturity, and goals. Based on these insights, we recommend whether agentic AI development makes sense or if your objectives can be achieved with simpler methods.
Timelines depend on scope and complexity. A proof of concept (PoC) may take 4–8 weeks. Development of a production-ready solution typically takes 2–4 months. Enterprise-scale multi-agent systems may require longer development cycles. We follow an iterative approach, which is based on early validation and gradual expansion.
Costs vary based on factors such as complexity, integrations, infrastructure, and required customization. A small pilot or PoC requires a significantly lower investment than a fully integrated enterprise solution. We provide detailed cost estimates after discovery and technical assessment.
Sure, we design AI agents to integrate with existing enterprise systems, including CRM, ERP, cloud platforms, internal databases, and third-party APIs. We define the Integration strategy during the architecture planning phase.
