Tell us what takes too much time in your business, and we’ll build an AI agent that works with your data and systems, handles repetitive tasks, and gets real work done for your team.
From the first use case to a fully deployed solution, mcCloud takes care of everything.
An AI agent can take work off your team’s hands – not just answer questions. We build agents that work with your data, follow your business rules, and take action across the tools you already use.
Find information faster
Search across emails, documents, databases, and company knowledge to find the right information when it’s needed.
Make decisions
Use your business rules and real-time data to understand what needs to happen next.
Take action
Update CRM or ERP records, process documents, organize files, send communications, and perform other approved actions.
Run complete workflows
Handle multi-step processes across different systems instead of automating just one isolated task.
AI Agents Business Cases
Every business has different work worth automating. We build agents around the processes your teams actually deal with every day.
Let an agent handle incoming invoices – from reading emails and attachments to extracting data, checking duplicates, organizing documents, and updating records.
Give your technical teams one place to ask questions across project documentation and live ERP data – including material availability and pricing.
Let an agent handle customer requests using your company knowledge and live data. It can prepare or send responses, check orders, update customer information, and perform approved actions.
Turn incoming enquiries into sales-ready leads. Your agent can create CRM records, find relevant sales information, prepare responses, and notify your sales team about the next step.
Have another business case in mind?
Show us how your team works today. We’ll help you find where an AI agent can save time and take manual work off their hands.
You don’t need to replace your existing tools or move everything into a new system. We build your agent around your processes and connect it to the data and business systems it needs to do its job.
Your data
We connect your agent to the company information it needs – from emails and documents to databases and internal knowledge.
Your processes
We build your rules and workflows into the agent, so it knows what to do, when to do it, and what steps to follow.
Your systems
We integrate your agent with the tools your business already uses – including Google Workspace, Microsoft 365, CRM, ERP, and enterprise databases.
Tools & platforms we work with
Your path from a business challenge to a working AI Аgent
Start with the process you want to improve. You don’t need a technical specification – we’ll guide you through each step and turn your business need into a working AI agent.
STEP 1. Define the right use case
Together, we identify the process worth improving, the tasks your agent should handle, and the business value you want to achieve.
STEP 2. See your idea come to life
Get a functional PoC built around your use case and sample data. Test the idea and see what your agent can do before committing to full development.
STEP 3. Get everything ready
Your cloud environment, security, access, and data connections are prepared for full development and deployment.
STEP 4. Get an AI Agent built around your business
Your agent is developed and connected to the data, tools, and systems it needs to complete its tasks.
STEP 5. Put your AI Agent to work
Your agent goes live, your team gets onboarded, and the solution can be optimized as it becomes part of everyday operations.
From "what if?" to "it works."
Start with a functional PoC built around your use case and sample business data. See how the agent handles real tasks, test the approach, and understand its potential before moving to full development.
Your AI agent may work with sensitive company data and business systems. That’s why security, access control, and data protection are built into the solution from the start.
Your data stays yours
Your company data, prompts, and agent outputs aren’t used to train Google’s foundation models.
Access stays under control
Your agent follows existing user permissions – people can only access the information they’re already authorized to see.
Protection against AI threats
Additional safeguards help prevent malicious prompts, sensitive data exposure, and unauthorized actions.
Control where your data is processed
Data storage and AI processing can be kept within approved regions to support GDPR and other regulatory requirements.
What job would you like to delegate to an AI Agent?
Tell us what's taking too much time, slowing your team down, or still being done manually. We'll help you understand what an AI agent could take over and how to turn it into a working solution.
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