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We use mostly open-source technologies, which significantly cuts development costs without compromising on quality and security.
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Custom AI agent development services
At Greenice, we offer custom AI agent development services that go beyond demos. From back-office automation to enterprise copilots, our agents are built to be accurate, secure, and seamlessly integrated into your workflows.
Start Your ProjectWhat is AI Agent Development?
AI agent development is the process of designing, building, and integrating intelligent software agents that can perform tasks on behalf of humans. Unlike generic chatbots, these agents are engineered to analyze data, interact with multiple systems, connect with APIs, and execute real workflows in line with your business goals.
With the right development approach, AI agents become a secure, scalable, and reliable extension of your team, available 24/7 to reduce costs, accelerate workflows, and enhance customer experiences.
AI Agent Development Services
We provide end-to-end AI agent development company services tailored to your needs:
Consulting & Solution Design
Identify high-value use cases, define success metrics, and create a clear roadmap
Custom Development
Build backend, frontend, and integrations tailored to your systems and workflows.
Voice & Chat Experiences
Enable natural conversations through chat, calls, or messaging apps.
Enterprise Deployments
Set up secure, scalable infrastructure for reliable performance.
Compliance-Ready Builds
Ensure HIPAA, GDPR, and SOC2 compliance where required.
Ongoing Support
Provide updates, retraining, and enhancements to keep your agents evolving.
Looking for AI agent Development Company?
Types of Agents We Build
From automating internal workflows to enhancing customer experiences, these are the most in-demand types of AI agents we build.
Sales & marketing agents Qualify leads, personalize outreach, and automate campaign workflows.
AI Agent Development Services Pricing
The cost of AI agent development services depends on complexity, integrations, and compliance needs. Projects usually start from $5K and can be delivered in as little as 2 weeks for an MVP .
Here are key cost drivers:
- Complexity – from a straightforward chatbot to a multi-agent system with advanced orchestration.
- Integrations – whether it connects to a single tool or multiple systems like CRMs, ERPs, telephony, or EHRs.
- Compliance – additional effort required to meet standards such as HIPAA, GDPR, or SOC2.
- Scale – building a lightweight MVP for early validation versus a full enterprise-grade deployment.
We provide transparent estimates with hours and roles so you avoid surprises.
Start with a free project estimate
Industries We Serve
Our enterprise AI agent development services are applied across multiple industries:
Marketing & Sales
Lead generation, outreach automation, personalized campaigns.
Enterprise Software
Copilots embedded in CRMs, ERPs, and intranets.
Media & Publishing
AI-driven content workflows and campaign automation.
Healthcare & Wellness
HIPAA-compliant scheduling, reminders, patient engagement.
Finance
Anomaly detection, reporting, back-office automation.
Education
Personalized learning assistants, automated grading, student support, and campus workflow optimization.
TESTIMONIALS
“We love working with Greenice and their very professional team! We live and work in the US and although there is a time delay between us they always are available on our time and communicate very timely. Our project is amazing and functions exactly the way we had envisioned it would since the first day we started working with Greenice. Highly recommended.”
Taylor Cerjan, Partner and Co-Founder at at GO Staffing
OUR AI AGENT DEVELOPMENT process
Step #1
Discovery & Strategy
We start by learning about your goals, workflows, and compliance requirements (e.g., HIPAA or GDPR). Together, we define where AI agents will bring the most impact and how success will be measured.
Step #2
Proof of Concept (POC)
Before investing in a full build, we create a small prototype to test the core idea. This helps validate feasibility, showcase early results, and gather feedback quickly.
Step #3
Architecture & Stack Selection
Based on your needs, we select the right technologies: large language models (LLMs), databases, frameworks, and integrations with your existing systems. We also design guardrails to ensure reliability and accuracy.
Step #4
MVP Build
We develop the first working version of your AI agent with essential features. This gives you something tangible to test, refine, and even start using in real workflows.
Step #5
Full Development & Integration
We expand functionality, connect APIs, enable chat/voice interactions, and integrate the agent into your CRM, ERP, or other enterprise systems.
Step #6
Testing
We run functional, performance, and load tests on every feature to ensure the agent behaves as expected under real-world usage.
Step #7
Security
We add guardrails, RAG pipelines, and compliance checks to reduce hallucinations, protect data, and keep the system reliable.
Step #8
Deployment
Once ready, we launch your AI agent on scalable cloud infrastructure (AWS, GCP). Monitoring tools are put in place to track performance and ensure uptime.
Step #9
Support & Scaling
After launch, we provide ongoing support, add new features, retrain models, and scale the system as usage grows. Logging chat history and collecting feedback help us fine-tune performance over time.
WHY HIRE US
- Proven since 2007: With nearly two decades of experience building complex, enterprise-grade web and software systems.
- Top Rated Plus on Upwork: Trusted by clients worldwide and maintaining a 100% Job Success record.
- 5+ years in AI: Covering the full spectrum of ML including advanced LLMs, RAG workflows, and orchestration frameworks.
- Enterprise-ready: We have worked on large-scale, mission-critical platforms that support long-term growth.
- Compliance you can trust: Projects built to meet HIPAA, GDPR, and strict financial regulations from day one.
- Strong technical team only: No juniors involved, just skilled mid-to-senior developers guided by team leads.
- End-to-end partner: Supporting clients from discovery and architecture through long-term maintenance and scaling.
Greenice was established
2007
Full-time employees
45
Projects we developed
200+
Clients from around the globe
70
Success Stories
Travel AI Agent LangChain Python
SAU
Travel AI agent
We developed an AI concierge bot for a travel platform that helps visitors quickly find hotels, restaurants, and attractions. The chatbot answers FAQs, suggests tailored routes, and applies advanced filters to deliver the best options, making trip planning easier and boosting on-site conversions.
Healthcare SaaS AI Chatbot HIPAA
🇺🇸
AI chatbot for hospitals
For an online clinic, we built a conversational AI assistant that enables patients to book appointments, check symptoms, and get instant guidance. The bot can hand off complex cases to human staff and collect feedback after interactions, improving both accessibility and service quality while reducing administrative workload.
AI Assistant Sales Team RAG
🇺🇸
AI Knowledge Assistant for Sales Teams
We created an internal AI chatbot to serve as a knowledge copilot for a company’s sales department. Using Retrieval-Augmented Generation (RAG), it provides precise answers from internal documents like playbooks, case studies, and templates. This tool speeds up onboarding, reduces response times, and ensures the team has quick access to the information needed for consistent, informed client communication.
Our Technology Stack
Programming languages
Frameworks
Voice stack
Databases/Vector stores
LLMs
Frontend
Related Articles
AI software development: AIaaS vs. open-source vs. bespoke - Which is best?
Artificial intelligence (AI) represents a significant shift, promising to transform operations and drive innovation across industries. With the AI software market projected to hit $2 trillion by 2030 and more than half of businesses already integrating AI into their operations, the excitement around AI's potential is palpable. Yet, it poses challenges for many entrepreneurs.
As an experienced agency in the domain of Artificial Intelligence, we stand ready to guide you through these challenges. While over 76% of enterprises planned to increase their AI investments in 2023, we understand the challenges of adopting and scaling this technology.
Let us be your ally in creating AI software to unlock its power with confidence and precision.
What is AI software?
AI software refers to apps, websites, or programs that are powered by artificial intelligence to perform tasks that usually require human intelligence. These applications can range from chatbots that help answer your questions and recommendation systems on shopping sites that suggest products you may like, to more complex programs that can analyze large sets of data to find patterns.
Unlike traditional software that follows a strict set of rules, AI applications learn from the data they process, allowing them to improve over time and make decisions or provide insights that weren't explicitly programmed into them. For example, this is the case with AI chatbots.
AI agent development trends 2025: Tools, industries, and rates
AI agents are no longer science fiction sidekicks - they’re slipping quietly into spreadsheets, call centers, and CRMs. What began as experiments in automation is now reshaping how businesses operate day to day.
To map this shift, we analyzed 542 AI agent development jobs posted on Upwork - one of the world’s largest freelance marketplaces. This dataset gives a rare, bottom-up view of what businesses are actually building and paying for in 2025. The picture that emerges is less about flashy demos and more about real infrastructure - agents that handle the grunt work, amplify human teams, and are fast becoming a standard feature of modern business.
And we’re not just observers: as a Top Rated Upwork agency with a long track record in AI development, we see these trends firsthand in client projects, giving us a unique vantage point to speak about where agent technology is headed.
How much does an AI agent cost? A detailed breakdown
So, how much does it cost to build an AI agent?
In most cases, the answer depends on complexity, integrations, and data requirements — but here’s a quick snapshot:
Simple Agent - Basic chatbot or FAQ assistant - $3K-$15K
Medium Agent - NLP, API integrations, basic learning - $20K-$50K
Advanced Agent - Custom-trained, real-time, multimodal - $80K+
At Greenice, we’ve analyzed over 500+ AI agent development projects on Upwork and found that most businesses underestimate the true cost — especially when moving beyond prototypes to production-ready systems.
In this article, we’ll break down what drives AI agent pricing, what clients typically expect versus actual market rates, and how you can plan your budget wisely. Whether you’re building a simple chatbot or a complex autonomous assistant, this guide will help you understand where your investment goes — and how to make every dollar count. Let’s dive into the agent development cost guide for 2025.
Frequently asked questions
How do you make sure the AI doesn’t “hallucinate”?
We use Retrieval-Augmented Generation (RAG), domain-specific training, and guardrails to ensure accurate responses.
Will it work with my existing CRM/ERP/EHR?
Yes. Integration is one of our core strengths. We’ve connected agents with complex enterprise systems for years.
Can I avoid vendor lock-in with OpenAI?
Absolutely. We support open-source models via HuggingFace and can design a flexible stack that fits your needs.
How fast can I see results?
We deliver MVPs in 3–8 weeks, depending on complexity. This lets you test value before scaling.
Is my data safe?
Yes. We follow strict compliance standards (HIPAA, GDPR, SOC2) and set up secure cloud infrastructure.
What happens if the AI agent can’t handle a request?
We build in fallback options for smooth human handoff, so no customer is left stuck.
How much does it cost to develop an AI agent?
The cost of AI agent development services typically starts at around $5,000 for an MVP and increases depending on complexity, integrations, and compliance needs. For example, a simple chatbot is much cheaper than a multi-agent orchestration system that integrates with CRMs, ERPs, or EHRs.
Who are the Big 4 AI agents?
The “Big 4” often refers to the major tech companies driving AI agent development: OpenAI (ChatGPT), Anthropic (Claude), Google DeepMind (Gemini), and Meta (LLaMA). At Greenice, we build agents that can leverage these providers, but we also integrate open-source models to avoid vendor lock-in.
Insights
EXOTICS RACING: FROM WHITEBOARD TO FULLY AUTOMATED ERP
Exotics Racing is website and ERP for the world’s largest fleet of supercars in Las Vegas for driving experiences. We made migration of their server infrastructure to AWS, worked on usability and backend.
How to Build a Custom Web-Based ERP
This is a web portal for continuous medical education that provides personalized online learning and assessment and collects information on live events for medical professionals.
Physiotec: the Leading Physiotherapy Exercise Software
Physiotec is a Canadian company that specializes in the development of rehabilitation exercise instructions for physiotherapists around the globe. We helped them create an electronic system to manage Home Exercise Programs (HEPs). Well-designed HEP software is a key for effective work and great experience for patients and therapists.
