Remigijus Zinys · Founder & applied AI practitioner

Apply AI to your team’s work.

Practical advisory, workshops and talks for leaders and teams. Together we select a concrete task, test the workflow and agree how to evaluate the result. When it needs a follow-on, I can help with a pilot, architecture and technical delivery.

Currently accepting 1 selected engagementVilnius · Europe
Remigijus Zinys
What you getA concrete task · tested workflow · clear next step01 — 04
Vilnius · Europe
Currently accepting 1 selected engagement
01
Since 2024Hands-on work with AI APIs and product integrations
02
2022 → 2026Breach.gg: from simpler AI integrations to coding-agent workflows
03
AI documentsInv01ce field-extraction example
04
5+ yearsAWS & Azure infrastructure experience

Who I help

When AI experiments are multiplying, but the team lacks a shared way of working and clear accountability.

I help leaders choose a meaningful AI task, operations teams test it in daily work and technical teams build a controlled agent workflow. If the experiment merits continuation, I can support the pilot and implementation.

AI advisory and technical delivery

What outcome does your team need?

Start with a concrete task: a decision for a leader, practice for a team, a tested prototype or an implementation plan.

01 · AI advisory · workshop · talk

AI matters, but it is unclear what your team needs first.

A leader needs a decision, a team needs practice on its own work, and a broader audience needs business context without technical noise.

What you getA prioritized AI opportunity map, a hands-on team session or a business talk tailored to your audience.
Scope and deliverables
02 · Technical AI-agent workshop

The technical team wants to use agents but lacks a safe working model.

Experiments remain individual, so context, change control, verification and responsibility are inconsistent.

What you getA practical workflow on a real task: context, plan, changes, tests, review and explicit boundaries.
Scope and deliverables
03 · AI automation pilot

A manual process is getting expensive, but automation value is unproven.

The team repeats the same work, yet it is unclear what to automate and which error rate is acceptable.

What you getA current-cost model, selected use case, controlled pilot, and quality and ROI measures.
Scope and deliverables
04 · Technical review & delivery

The AI or product idea is running into technical risk.

When the outcome depends on sound architecture, data, access, or AWS and Azure infrastructure, recommendations alone are not enough.

What you getRisk review, architecture and infrastructure plan, priorities and—where needed—delivery with a documented team handover.
Scope and deliverables

Work

Problem, solution, outcome.

RZ

What you get

Not a tool list, but an AI workflow the team understands and can review.

Depending on the format, the output may be a priority AI task, a workflow draft, review criteria, usage guidance or a first-experiment plan. Any production follow-on is assessed and delivered separately.

BUSINESS QUESTION
TASK · PRIORITIES · BOUNDARIES
PRACTICE
CONTEXT · TEST · REVIEW
FOLLOW-ON
PILOT · INTEGRATIONS · HANDOVER

How I work

From a real task to a clear next step.

01

Task

Choose one repeated activity and define what a good result looks like.

02

Preparation

Agree the audience, examples, tools, access and information that must not be used.

03

Practice

Test the workflow and inspect not only the good answer but also ambiguous and incorrect cases.

04

Review and plan

Record evaluation criteria, human accountability and the rational next action.

Field notes

Before a call, start with a practical diagnostic.

Vilnius · Global

Which task should your team test with AI?

Briefly describe the audience, repeated work and preferred format. I will tell you whether advisory, a practical workshop, a talk, a technical agent workshop or a separate pilot fits best.

remigijus@nordhub.ltLinkedIn