Build AI Agents for Workflows That Pay Back
10Clouds designs and ships production-ready AI agents for support triage, sales qualification, analyst copilots, back-office automation, and financial operations, with MCP integrations and governance planned from day one.
AI Agent Development Services with Implementation Depth
AI agents create value when they are connected to the systems, permissions, data, and human handoffs that already run your business. We do not stop at a demo chatbot.
At 10Clouds, we use agentic workflows in AIConsole and client delivery, and we build around real production constraints: model choice, MCP servers, retrieval, observability, review queues, escalation, and auditability. Our Claude/Anthropic experience helps teams choose the right model behavior and safety boundaries for each workflow.
30-Day AI Agent Pilot Offer
30-Day AI Agent Pilot Offer
Week 1: Workflow Selection
Weeks 2 to 3: Agent Prototype and MCP Integrations
Week 4: Governance and Production Handoff
Enterprise AI Agent Workflows We Build
01 Support Triage Agents
Classify requests, retrieve account context, propose next actions, draft responses, and escalate sensitive cases to humans with the right evidence attached.
02 Sales Qualification Agents
Enrich leads, summarize fit, prepare discovery notes, route opportunities, and update CRM workflows without adding manual admin work.
03 Analyst Copilots
Gather source data, compare records, draft analytical notes, highlight risks, and keep a human reviewer in control of final decisions.
04 Back-Office Automation Agents
Process repetitive internal requests across documents, tickets, spreadsheets, and internal systems while logging actions for review.
05 Financial Operations Agents
Support reconciliation, exception handling, credit assessment, fraud review, and reporting workflows with strong data boundaries and audit trails.
06 Productivity and Knowledge Agents
Search internal knowledge, answer policy questions, draft documents, and connect employees to the next step in a process.
What Production AI Agents Need Beyond a Prompt
A valuable AI agent is part of an operating system for work. We design the architecture, integrations, monitoring, and human controls that make agents safe enough to use in real departments.
MCP Tool Integrations
Connect agents to internal systems, APIs, databases, documents, and third-party tools through controlled MCP-style integration patterns.
Human Handoff
Design review queues, escalation rules, confidence checks, and handoff points so people stay in control when the agent reaches a boundary.
Governance and Auditability
Plan logs, permissions, data access, output review, policy prompts, and operating rules before scaling beyond a pilot.
Model and Prompt Strategy
Select Claude, OpenAI, open source, or hybrid model paths based on the workflow, cost, latency, privacy, and reliability requirements.
Evaluation and Monitoring
Create representative test cases, failure-mode checks, acceptance metrics, and monitoring so agent quality can improve over time.
Production Engineering
Package the agent with authentication, permissions, observability, deployment, support, and roadmap decisions instead of leaving a prototype in a notebook.
Why Choose 10Clouds for Your Artificial Intelligence Project
AI solutions streamline our operations everyday. We make our AI agents for our purposes, so we know how to create an agent that solves real business problems and what AI agents need to work best for you.
With extensive experience in software development and data science, 10Clouds has a proven track record of delivering successful projects across various industries.
Our team of OpenAI developers uses assistants API tools daily, giving us unique insights and practical expertise in developing and deploying solutions.
Our strategic partnerships enhance our development capabilities, providing advanced features and seamless integration.
Our AI agents are customized to fit your specific business model and requirements, ensuring you get the best results and maximum value.
We merge the solutions with your existing systems using OpenAI API key, enhancing efficiency and ensuring a smooth transition to AI-driven processes.
Our team provides ongoing support to ensure optimal performance and adapt to changing needs.
We use the latest AI technologies and methodologies to develop AI agents, ensuring you stay ahead of the competition with customized AI solutions.
We help you develop a comprehensive AI strategy and implement the best solutions.
Meet the Team Behind Our Generative AI Solutions
Let's Talk How AI Copilots Can Support Your Business
CONTACT US NOWAI Agent and Automation Proof from 10Clouds Projects
AIConsole
At 10Clouds, we've played a key role in developing AIConsole, a platform for creating and managing AI agents. AIConsole helps businesses automate tasks, gain real-time insights, and improve customer interactions. Our digital AI agents integrate smoothly with existing systems and can handle tasks like customer support, sales assistance, and data analysis. This makes operations more efficient and enhances user engagement.
Credit Assessment AI Dashboard
For a Polish commercial bank, 10Clouds redesigned the analyst workflow and added a Generative AI component that automates registry checks, detects negative media, generates analytical notes, and reduced analysis time by 79%.
Well Over One
At 10Clouds, we partnered with Well Over One (WOO) to develop an AI-powered mobile application aimed at enhancing mental and physical well-being. Leveraging technologies like Python, Flutter, and React Native, we integrated advanced AI functionalities to provide 24/7 personalized health advice. Our AI agents analyze user patterns, predict needs, and offer real-time, dynamic health guidance. This collaboration resulted in a user-friendly chatbot that delivers tailored health recommendations, behavior-change strategies, and wellness monitoring, setting a new standard in health tech.
Tech Stack We Use to Build Custom AI Agents
Our proprietary platform for developing and managing AI agents, providing seamless integration and powerful communication features.
A secure communication platform that enhances conversational AI capabilities and user engagement.
Leveraging state-of-the-art AI models like GPT-4 for natural language processing and generation tasks.
Advanced tools for speech synthesis and voice recognition, enabling AI assistant functionalities.
A framework for building applications with large language models, facilitating complex agent functions.
Tools for creating and managing visual content, enhancing the capabilities of intelligent AI agents in multimedia applications.
A platform for automating workflows with AI agents, enabling seamless integration of complex decision-making across systems.
Build the Future with Recognized AI Development Company
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AI Agent Development Process
Workflow and Risk Mapping
We map the business workflow, source systems, users, permissions, decisions, risks, and human handoffs that determine whether an agent will be useful in production.
FAQ on AI Agent Development
What is AI agent development?
AI agent development is the design and engineering of software agents that can use models, tools, data, and business rules to complete defined workflows with appropriate human oversight.
Which business workflows are best for an AI agent pilot?
The strongest pilots usually involve repeated, high-volume work with clear source data and a human review path, such as support triage, sales qualification, analyst research, back-office requests, or financial operations.
How do MCP integrations help AI agents?
MCP-style integrations give agents a controlled way to use tools, APIs, files, and internal systems. This makes the agent more useful than a standalone chat interface while keeping access boundaries explicit.
Can you build AI agents with Claude or Anthropic models?
Yes. We can design Claude, OpenAI, open source, or hybrid model architectures depending on workflow needs, safety constraints, cost, latency, and deployment requirements.
How do you handle AI governance?
We define allowed data, permissions, logging, output review, escalation rules, evaluation cases, and production monitoring so teams know when the agent can act and when a human must approve.
What can we expect from a 30-day pilot?
A 30-day pilot should deliver one working workflow, initial tool integrations, representative test cases, governance recommendations, and a production roadmap. It is not meant to automate an entire department at once.