We automate repetitive processes with AI.
You only pay for results.
Cut operational costs and wasted hours. We identify, test, and build custom AI solutions with full control over budgets. Stop whenever you want.
The Agentric AI Ladder
Step 01 → 08Our modular process adapts to your goals, no matter what stage your business is at.
Stop whenever you want — you only pay for the current step.
The Agentric approach
In controlFrom chasing the trend → to measurable value, step by step.
The problem
Don’t implement AI just because it’s trendy.
If you want to bring AI into your company, make sure you do it intelligently. The secret lies in a process executed in stages, where costs are predictable and fully under control. Instead of automating processes for the sake of technology, focus exclusively on the critical areas where AI agents can visibly reduce operational costs and wasted work hours. We help you discover exactly what’s worth optimizing and measure the real value, without risks or rigid contracts.
The Agentric AI Ladder
Start where you are. Stop when you're ready.
Our modular process adapts to your goals, no matter what stage your business is at.
Discovery & validation
Low cost, high clarity.
Build & optimize
Deploying actual value.
Scale & run
Long-term growth.
Discovery & validation
Low cost, high clarity.
- 01/ 08
Learn
We build a solid foundation of knowledge and skills to prepare you for the next steps.
We assess how your team uses AI today, run hands-on training calibrated to their real skill level — individually or as a group — and measure progress with a clear "before & after" benchmark.
It's ideal if you're just starting out, or simply looking for clarity.
Book a call about this → - 02/ 08
Audit
Find out which of your processes are actually worth automating.
We assess your company's current level of AI adoption, identify the use cases that genuinely justify automation, surface the bottlenecks holding them back, and hand you a concrete report with a recommended direction.
This step assumes an active business with some historical data.
Book a call about this →Sample report. Illustrative data — not a real client.
- 03/ 08
Prove
See how it works on a real process before committing to something bigger.
We pick a process from a single department and work with the people who own it to define it as clearly as possible. Then we deliver a working proof of concept that shows exactly how AI automates it.
To validate, you need to already have a product, a clear offer, or a working MVP.
Build & optimize
Deploying actual value.
- 04/ 08
Build
Turn the proof into a real agent running in your workflow.
We start from the validated proof of concept and build the complete automation, then ship it directly into your company's real operational flow.
This stage starts from an idea or an MVP already validated beforehand.
- 05/ 08
Evaluate
Find out how the AI agent behaves across different scenarios.
We set clear accuracy and responsiveness requirements together with your team and build a rigorous, technical evaluation system that tests the agent on real scenarios. Works only on agents built by us.
An essential stage to make sure your AI agents execute your company's strategy and processes exactly as intended.
Book a call about this →Snapshot from an evaluation run. Illustrative data — not a real client.
- 06/ 08
Measure
We set clear KPIs, measure the real impact, and identify the levers for scaling.
We set SMART KPIs together with your team that tie the agent's activity to real financial and operational impact, then put a monitoring cadence in place so that number stays visible.
This step naturally follows on from the Evaluate stage (Step 05).
Scale & run
Long-term growth.
- 07/ 08
Expand
Scale the model that worked to the rest of the company.
Once an agent is validated and performing, we build the next ones and connect them into coordinated agentic systems, across new processes and departments.
This step is recommended only after performance has been confirmed and optimized.
- 08/ 08
Operate
We become your primary AI infrastructure partner.
Our team takes over the operation, monitoring, and orchestration of all your agents, making sure they work together perfectly. While we handle the technical complexity, we keep building, optimizing, and measuring the direct business impact, side by side with you.
Why Agentric
Why companies work with us
We measure real impact
We evaluate every agent’s performance through clear metrics and business numbers, not on intuition or the impression that things are working.
We are technology-agnostic.
We have no exclusivity contracts. We choose Claude, GPT, or open-source models strictly based on task complexity, quality, and cost.
We implement, we don’t just advise.
We don’t just hand you a presentation and a theoretical plan. We give you a real, functional platform, optimized end-to-end.
Complete solutions: software and training.
We don’t just build the AI infrastructure, we also prepare your team to use it efficiently, ensuring natural, lasting adoption within the company.
How it works
See the results before you commit, step by step.
- 1
Book a call
We set up a short call to understand the current stage of your business and which processes you want to optimize.
- 2
We assess the options and give you a quote
We analyze your needs and prepare a price quote for the first stage of the process. You know exactly what you’re investing and what you get, with no hidden budgets.
- 3
You decide at your own pace
You move forward only if the previous stage delivered value. No forced subscriptions or long-term contracts.
The team
The people behind Agentric
We're a team that puts speed and efficiency first, with no bureaucratic bottlenecks. When you work with us, you cut out the middlemen entirely: you work directly with the engineers who design your solution and who have the experience to train your team to use it to its full potential.

Vlad Nicula
Co-founder & Software ArchitectVlad Nicula is a software engineer and technical leader with over 18 years of experience in tech. He started his career back in high school, working as a freelancer for companies in the United States, and later graduated from the Faculty of Mathematics and Computer Science at UBB Cluj. He has worked in both large companies and startups, and over the past five years he has taken on Engineering Manager and technical mentor roles on international teams. Today, he builds infrastructure for running AI agents in a scalable, transparent, and controllable way, and helps product companies improve their software development processes.
LinkedIn →
Vlad Nicula
Co-founder & Software ArchitectVlad Nicula is a software engineer and technical leader with over 18 years of experience in tech. He started his career back in high school, working as a freelancer for companies in the United States, and later graduated from the Faculty of Mathematics and Computer Science at UBB Cluj. He has worked in both large companies and startups, and over the past five years he has taken on Engineering Manager and technical mentor roles on international teams. Today, he builds infrastructure for running AI agents in a scalable, transparent, and controllable way, and helps product companies improve their software development processes.
LinkedIn →
Bogdan Pogacean
Co-founder & Software EngineerWith a 12-year track record in professional basketball, Bogdan carried the discipline and team spirit of high-performance sport straight into tech. He has over 11 years of experience as a software engineer, during which he built complex products, formed engineering teams, and optimized technical architectures across multiple industries. His current focus is bringing AI into real business processes. Bogdan founded Agentric out of a desire to help companies move past the hype of the moment and use artificial intelligence as a clear lever for profitability, efficiency, and scale.
LinkedIn →FAQ
Questions, answered.
Get started
Start with one step. Stop whenever you want.
Book a free call and we’ll help you find the right first step.