In many companies, data is copied between CRM, ERP, email and project tools. Teams manually answer similar questions, compile status updates and push work between systems.
The result? Slower response times, costly admin work, more errors and an overloaded team.
We don't deploy 'AI in general'. We deploy specific processes that save time, streamline operations and improve response quality.
Sales and lead handling
Less admin, faster lead response, higher team throughput
Customer service and status updates
Faster response, less manual checking, better service without adding headcount
Operations, back-office and reporting
Fewer errors, less manual copying, more consistent information flow
This service makes the most sense when specific conditions are met. We don't push AI agents where there's no clear process to automate.
We don't describe 'LLM capabilities'. We describe AI agent actions that can be deployed in production and measured by results.
We start from the process, not the technology. Every AI agent deployment has a concrete scope, measurable outcome and a control plan.
We start from the process, not the technology. We map where time is lost today, where errors appear, what the exceptions are, which systems are involved and where humans must keep control.
First deployment scope with process map
Process map + architecture recommendation + quote
We build a working proof of concept based on a real scenario. Not to show an 'AI demo', but to verify process usefulness, limitations and potential ROI.
Working AI agent prototype on your data
Demo recording + deployment direction
We define the boundaries of the system: when the agent acts automatically, when it waits for approval, when it escalates, where it pulls data from and how it handles exceptions.
Approved workflow and operational rules
Workflow and rules documentation
We connect systems, configure the environment, monitoring, logging, end-to-end tests and prepare the solution for real-world use.
Production system ready to run
AI agent + monitoring + team training
After launch, we observe real-world performance, refine rules and add more areas. The best deployments don't stop at one process - they grow with the business.
Measurable results and further development plan
ROI report + roadmap for next processes
You don't buy a 'stack'. You buy a system that works predictably, gives you control and can be maintained.
We select integrations and technical components for each specific process. We don't push one technology just because it's trendy.
The AI model analyzes content, classifies cases, prepares drafts and proposes the next step. Model selection depends on the process, budget, data sensitivity and quality requirements.
The biggest value isn't in the model itself - it's in the workflow: rules, conditions, action limits, exceptions and approval points. This is where we define what the agent can and cannot do.
AI agent works with the tools your company already uses: CRM, ERP, email, project management, helpdesk, messaging apps, calendars and internal data sources.
The system operates within clearly defined permissions. Important actions can require human approval. This ensures AI doesn't act 'outside the process'.
Key actions are logged and reported. You can see what the system did, on what basis, and which areas need improvement.
We design the solution to match process requirements and data types. EU-hosted deployments, data scope limitations, access control and environment separation are all possible.
AI agents in your business process, integrated with your current stack, with monitoring and support.
You'll receive a detailed quote within 24h after a discovery call (20-30 min).
One process, production quality, full deployment.
Multiple processes connected into one working system.
Multiple departments, higher security and infrastructure requirements.
After deployment, the system can run on your infrastructure or in an agreed EU environment.
We can end the engagement at deployment, or move into a managed support, SLA and ongoing process development model.
Optional: managed support package (monitoring, incident handling, tuning, integration maintenance) - from EUR 299/mo.
Honest answers about AI process automation
Complete guide to building custom AI agents for business automation. Learn how to create AI that doesn't just chat but actually performs tasks, integrates with your systems, and drives real business outcomes.
Read more →Custom AI agents automate complex business workflows: from data processing to multi-step approvals. Learn when you need custom agents vs. off-the-shelf solutions.
Read more →Not theoretical. Not 'coming soon.' 15 agentic AI use cases in production right now - with what they do, who they help, real results, complexity ratings, and costs. Organized by customer-facing, internal ops, and revenue.
Read more →Show us the process that costs you the most time today: sales, customer service, operations, reporting or data flow between systems. We'll assess whether it's worth automating and show a direction - based on your real process, with human oversight and ROI in mind.