Frequently Asked Questions

Question 1

What is "Agentic AI" and how does it differ from regular ChatGPT or Copilot?

Accepted Answer

Regular generative AI (e.g. ChatGPT) is passive — it waits for your prompt and generates text. Agentic AI is proactive and goal-oriented. It can independently plan steps to achieve a goal, use tools (e.g. send emails, query databases) and verify its own results without constant human intervention.

Question 2

What does "multi-agent system" mean and why is it better?

Accepted Answer

A single large AI model can struggle with complex tasks. We build systems where specialized agents collaborate (e.g. one agent researches data, another writes code, a third checks for errors). This mimics how human teams work and delivers much greater accuracy and stability.

Question 3

Can AI agents execute transactions on behalf of my company?

Accepted Answer

Yes, this is the primary value of agents. Using secure protocols (such as MCP — Model Context Protocol), we can authorize agents to perform specific actions, such as booking appointments, updating CRM records or initiating purchase orders, always within the boundaries you set.

Question 4

What is "Agentic RAG" and why is regular search no longer sufficient?

Accepted Answer

Standard RAG (Retrieval-Augmented Generation) finds documents by keywords. Agentic RAG uses reasoning: it analyzes the question, decides what information is needed, searches multiple sources, verifies factual accuracy and performs additional refining searches when necessary. This delivers responses that are fact-based and context-aware.

Question 5

How do agents know when to ask for help (Human-in-the-loop)?

Accepted Answer

We configure agents with specific trust boundaries. When an agent is uncertain about its response or action (e.g. the transaction amount exceeds a limit or a customer question is ambiguous), it automatically escalates to a human specialist for review. This ensures safety as autonomy increases.

Question 6

Can agents learn the specifics of my business?

Accepted Answer

Yes, agents connect to your knowledge base (wiki, manuals, previous interactions). Unlike a regular employee who needs months of training, an agent has immediate access to your company's entire historical knowledge.

Question 7

What routine tasks can be fully delegated to agents?

Accepted Answer

Typical examples include: entering incoming invoice and waybill data into ERP systems, first-level customer support resolution (up to 70% of queries), lead qualification and meeting scheduling, and IT support ticket triage.

Question 8

Do agents work 24/7?

Accepted Answer

Yes, agents don't get tired and don't need breaks. This enables instant customer service or overnight data processing, accelerating processes and improving the customer experience.

Question 9

How do you ensure that agents don't "hallucinate" (make things up)?

Accepted Answer

We use control mechanisms (Guardrails) that force agents to cite sources and prohibit responding when specific information isn't found. We also use self-reflection patterns where agents verify their own responses before delivering them.

Question 10

Can I start with one agent or do I need to change the entire system?

Accepted Answer

We recommend starting with one specific "worker" or process (e.g. an "invoice processor"). This is a low-risk way to prove value before expanding the agent network across the entire enterprise.

Question 11

We have an old system (e.g. legacy .NET, Java) that nobody dares to touch. Can AI help?

Accepted Answer

Absolutely. This is one of our key strengths. We use AI tools that can analyze legacy code, map dependencies and document business logic that nobody remembers anymore. This makes modernization up to 87% faster and safer.

Question 12

Does modernization mean rewriting everything from scratch?

Accepted Answer

No. We prefer the "Strangler Fig" method — replacing the old system piece by piece with new, modern microservices or agents, while keeping the old system running. This mitigates risks and ensures business continuity.

Question 13

How does AI make code refactoring better?

Accepted Answer

AI can automatically detect inefficient or security-vulnerable code and suggest improvements. This accelerates developers' work, letting them focus on architecture rather than searching for bugs line by line.

Question 14

Do you make our databases "AI-ready"?

Accepted Answer

Yes. Old databases are often unreadable for AI. Our service includes data cleaning, structuring and creating API layers so modern AI agents can access your legacy data.

Question 15

How long does legacy system modernization take?

Accepted Answer

Thanks to AI-powered analysis, we can deliver an initial audit and roadmap in weeks, not months. The total project duration depends on system size, but AI accelerates the process by orders of magnitude.

Question 16

What is "technical debt" and how does AI reduce it?

Accepted Answer

Technical debt is the "interest" you pay for maintaining old and complex code (slow development, bugs). AI helps aggressively reduce this debt by rewriting code to meet modern standards.

Question 17

Is modernization safe?

Accepted Answer

Yes, in fact, the old system is a greater security risk. During modernization, we implement modern security standards (OAuth, encryption) that are often missing in outdated systems.

Question 18

Can I continue using the system during modernization?

Accepted Answer

Yes, our process is designed so that business operations are not interrupted. New modules take over work gradually.

Question 19

How do you ensure the new system does exactly what the old one did?

Accepted Answer

We use automated regression tests. AI generates tests based on the old system's behavior and ensures that the new system produces identical results.

Question 20

Why choose us for modernization?

Accepted Answer

We combine deep engineering with a strategic perspective. We are not just "developers" — we are architects who use AI as a tool, not a crutch.

Question 21

My data is scattered across Excel files and various software. Can AI handle it?

Accepted Answer

This is a typical situation. Before putting agents to work, we conduct a "Data Readiness" audit. We build data pipelines that unify fragmented sources into a coherent whole that AI can read.

Question 22

Will my trade secrets end up in public ChatGPT?

Accepted Answer

No. We use private models and secure APIs (e.g. Azure OpenAI, AWS Bedrock) where data is never used to train models. Your data remains under your control (Data Sovereignty).

Question 23

How do you protect personal data (GDPR)?

Accepted Answer

We implement PII (Personally Identifiable Information) filters that remove or anonymize personal data before it reaches the AI model. Additionally, we follow strict SOC 2 and ISO 27001 standards.

Question 24

What is the UCP protocol and why is it important?

Accepted Answer

UCP (Unified Commerce Protocol) or similar standards ensure that agents communicate with systems in a standardized and secure manner, reducing integration errors and security vulnerabilities.

Question 25

Can I see logs of what AI did?

Accepted Answer

Absolutely. Every agent step, decision and tool usage is recorded in an audit log. This ensures complete transparency and regulatory compliance.

Question 26

How do you ensure access controls (RBAC)?

Accepted Answer

Agents, like employees, have specific roles and permissions. A finance agent cannot access HR data and vice versa. We apply the "least privilege" principle.

Question 27

What happens if AI makes a mistake?

Accepted Answer

Our systems are built with fault tolerance. If an agent cannot complete a task, it is handed over to a human or a fallback mechanism is triggered. Errors are automatically analyzed to improve the system.

Question 28

Can we use on-premise models running on our own servers?

Accepted Answer

Yes, especially for sensitive data, we can deploy open-source models (e.g. Llama 3) that run entirely on your own infrastructure, without data ever leaving the premises.

Question 29

How do you protect against "Prompt Injection" attacks?

Accepted Answer

We use dedicated security layers and filters that analyze input before processing to prevent malicious manipulation of agent behavior.

Question 30

Who is responsible for AI's actions?

Accepted Answer

Ultimate responsibility and control always remain with humans. Our systems are tools that augment your employees, not replace accountability.

Question 31

How expensive is developing an AI agent?

Accepted Answer

Prices vary, but thanks to our modular approach and AI accelerators, costs are significantly lower than traditional software development. A simple agent can be deployed in weeks, delivering rapid ROI.

Question 32

What is the expected ROI?

Accepted Answer

Clients typically see 30-50% cost savings in automated processes. Additionally, freed employee time can be redirected to higher-value work, increasing revenue.

Question 33

How quickly can we start a project?

Accepted Answer

We can begin our "Discovery & Audit" phase immediately. We can deliver a working proof of concept (PoC) in 2-4 weeks.

Question 34

Is this solution suitable for a smaller Estonian company?

Accepted Answer

Yes. Agentic technology is scalable. A small business can start with a single "virtual assistant" handling customer emails or bookings, which is very affordable.

Question 35

Why can't I just use Zapier or Make.com myself?

Accepted Answer

Those are good for simple automation, but they lack a "brain." When an exception or error occurs in the process, they get stuck. Our AI agents can handle unexpected situations and make decisions that simple automation cannot.

Question 36

Will AI replace my employees?

Accepted Answer

No, AI changes the nature of their work. Routine "copy-paste" work disappears, replaced by managing agents and handling exceptions. This increases employee satisfaction and reduces burnout.

Question 37

What industries do you have experience in?

Accepted Answer

We are strong in fintech, logistics, e-commerce and manufacturing — sectors with abundant data and processes to optimize.

Question 38

Do you offer guarantees or support after development?

Accepted Answer

Yes, we offer SLA-based (Service Level Agreement) support and monitoring. AI systems need monitoring to ensure their accuracy over time, and we take care of that.

Question 39

How do I know if my company is ready for AI?

Accepted Answer

Our first step is a "Readiness Audit." We assess your data, processes and IT infrastructure and give an honest evaluation — whether to invest now or build the foundation first.

Question 40

What is the main risk of not adopting AI?

Accepted Answer

Loss of competitiveness. Companies using agents can operate faster and at lower costs. By 2026, this is the new normal, not a luxury.

Question 41

What does the start of collaboration look like?

Accepted Answer

We begin with a consultation to map your business challenges. This is followed by a short "Discovery" phase where we propose a solution and ROI calculation.

Question 42

Do you build custom solutions or sell off-the-shelf products?

Accepted Answer

We specialize in custom solutions, but we use pre-built components (accelerators) to keep cost and time reasonable. You get a unique solution that exactly meets your needs.

Question 43

How does communication work during development?

Accepted Answer

Our process is agile. You have continuous visibility (e.g. weekly demos) where you see progress and can provide feedback. We don't disappear into a "cave."

Question 44

Who owns the code and intellectual property (IP)?

Accepted Answer

For custom solutions, the created code and IP typically belong to the client. You won't become dependent on us ("Vendor Lock-in").

Question 45

Do you provide training for our team?

Accepted Answer

Yes, agent adoption often requires changes to work processes. We train your employees to work with and manage their new "digital colleagues."

Question 46

Do you also develop mobile applications?

Accepted Answer

Yes, we have strong competence in both web and mobile application development (React Native, Flutter), which can serve as interfaces for your AI agents.

Question 47

How big is your team?

Accepted Answer

We are a boutique agency, which means you get personal attention from our top specialists (Alvar, Sander, etc.) rather than just communicating with a salesperson. We scale the team with trusted partners when needed.

Question 48

Do you work with the public sector as well?

Accepted Answer

Yes, our solutions meet the high security and documentation requirements necessary for public procurements and the public sector.

Question 49

Where are your developers located?

Accepted Answer

Our core team is in Estonia and Europe, ensuring quality, cultural fit and timezone overlap.

Question 50

What is the first step?

Accepted Answer

Book a free 30-minute consultation on our website. We'll review your idea and give an initial assessment of feasibility.

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