$100.00
Custom AI agent development opens up endless possibilities for innovation and efficiency. Whether it’s automating customer service or building intelligent assistants for internal operations, AI agents are transforming how we work and interact with technology.
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Portfolio & Awards
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Pricing Table
| Features |
Small $9,500 / total Initial Business Idea Analysis and Documentation |
Medium $20,000 / total Solution Analysis Vision & Scope |
Large $35,000 /total Solution Analysis Vision & Scope (large-scale) |
|---|---|---|---|
|
Discovery Timeline |
up to 3 weeks |
from 4 to 7 weeks |
from 6 to 9 weeks |
|
Define Business goals and objectives of the expected product |
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Requirements Elisitation Sessions (stakeholders interviews, workshops) |
up to 5 workshops |
up to 7 workshops |
up to 9 workshops |
|
Requirements Modeling and Documentation |
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Quality Attributes Workshop |
– |
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Business Requirements Specification |
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Competitor Analysis |
– |
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Product Succcess Metrics |
– |
– |
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Functional Decomposition |
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Key Business Processes & Sequence Diagrams |
– |
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Non-Functional requirements analysis and documentation |
– |
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Software Architecture Vision and High-level Design |
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Entity Relationship Diagram |
– |
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Technology Stack |
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Technical Risks Identification |
– |
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Architecture decisions report |
– |
– |
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Wireframes |
up to 3 core user flows |
up to 10 core user flows |
up to 15 core user flows |
|
Product Information Architecture |
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Business Model Canvas |
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Customer Journey Map |
– |
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Value Proposition design Workshop |
– |
– |
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Delivery Time |
– |
– |
– |
Description
Custom AI Agent Development involves designing and building intelligent software agents tailored to specific business needs or user interactions. These AI agents can simulate human-like decision-making, automate tasks, interact with users, and continuously learn from data to improve performance over time.
🔍 What is an AI Agent?
An AI agent is a software entity capable of perceiving its environment, making decisions, and taking actions to achieve specific goals. These agents can range from simple rule-based bots to advanced systems powered by machine learning and natural language processing (NLP).
🎯 Why Develop a Custom AI Agent?
- Tailored to industry-specific workflows and objectives
- Provides unique experiences and branding opportunities
- Integrates with your internal data, APIs, or platforms
- Improves automation, efficiency, and response time
- Scalable and adaptable to evolving business needs
🛠️ Tools and Technologies
- Natural Language Processing (NLP): OpenAI GPT, BERT, spaCy, Hugging Face Transformers
- Machine Learning: TensorFlow, PyTorch, Scikit-learn
- Conversational Platforms: Rasa, Dialogflow, Microsoft Bot Framework
- Custom APIs & Integrations: RESTful APIs, Webhooks, CRM systems
- Cloud Services: AWS SageMaker, Azure AI, Google Cloud AI
📦 Features of a Custom AI Agent
- Context-aware conversations
- Multilingual support
- Personalization based on user profiles
- Real-time data access and analytics
- Integration with business applications (e.g., Salesforce, Slack, databases)
💡 Use Cases
- 🧾 Customer Support Chatbots
- 📅 Virtual Assistants for Scheduling
- 🛒 AI Agents for E-Commerce Recommendations
- ⚙️ Intelligent Process Automation
- 📊 Data-Driven Business Insights
- 🏥 Healthcare Symptom Checkers
🧠 Key Development Steps
- Define goals, scope, and user personas
- Choose the right architecture (rule-based, ML-based, hybrid)
- Design workflows and conversation flows
- Train and test models using relevant data
- Integrate with APIs, databases, and user interfaces
- Deploy and monitor performance
- Iterate and optimize using feedback and analytics
🔐 Security & Ethics
Custom AI development must consider privacy, fairness, transparency, and security. It’s essential to:
- Use secure data handling practices
- Comply with GDPR, HIPAA, or relevant regulations
- Avoid bias in training data and algorithms
- Enable transparency and explainability in AI decisions
