AI strategy & consulting
Decide what to automate, what to build, what to avoid, and which measurable pilot should move first.
Learn more AI AUTOMATION · WEB APPLICATIONS · DATA SYSTEMS
DIGITAL SYSTEMSTHAT THINK AHEAD.
AI automations, web applications, and dashboards for companies that want measurable workflow gains in weeks, not months.
6Selected projects
5Service lines
2–8wTypical build phase
PL/EUDelivery context
01 · SOLUTIONS · 侍BUILT WITH PURPOSE.
BUILT WITH PURPOSE.
DRIVEN BY AI.
We combine strategy, technology, and discipline to help businesses move faster, smarter, and stronger.
Workflow automation
Connect tools, remove repetitive work, and launch reliable automation loops with fallbacks and human review.
Learn moreWeb apps & AI products
Build focused portals, internal tools, MVPs, and AI-enabled product surfaces with a clear launch path.
Learn moreData & dashboards
Turn fragmented reporting into trusted metrics, operational dashboards, and AI-assisted insight loops.
Learn moreTeam AI workshops
Turn real team workflows into reusable prompts, prototype ideas, evaluation rules, and an adoption playbook.
Learn moreEvery engagement is built with security, observability, human review points, and maintainable handover from day one.
ServicesLIVE WORK, IN THREE DIMENSIONS.
Real sites we've shipped — Stargater, Surtarang, StudiQ and more — moving from mobile to desktop inside an interactive 3D showcase.
BUILT FOR THE BIG SCREEN.
The same shipped experiences at desktop scale — with their full composition, detail and rhythm intact.
03 · THE PRACTICE · 型FREE AUTOMATION SCANSHOW US THE REPETITION.
SHOW US THE REPETITION.
WE'LL FIND THE AUTOMATION.
The free scan is a short initial triage based on the process you describe. It helps identify a sensible next step, but does not replace stakeholder interviews, data review, or the evidence-backed paid audit.
- 01
A short initial review of the process you describe
- 02
1–3 likely automation opportunities
- 03
A suggested next step and rough feasibility note
- 04
One follow-up message, no newsletter requirement
FROM BUSINESS GOAL.
TO A WORKING RELEASE.
01BUSINESS GOALContext and constraints
02DELIVERY PLANScope, risks and ownership
03WORKING SYSTEMBuild, integrate and verify
CODE CHECKED
DESIGN CHECKED
QA CHECKED
05RELEASE + HANDOVERMeasure and improve
ResearchCodeDesignTestDeploy
DEFINE › BUILD › CHECK › IMPROVE
PRECISION IN EVERY DETAIL.
01/06
01Stargater — collectibles commerce
Collectibles ecommerce built around product-led browsing, strong category signals, and immersive brand treatment.
02Surtarang — cultural music platform
Cultural music platform combining editorial presence, event context, and a warm visual identity.
03Milk Bar Designers — architecture studio
Architectural programming studio website with structured service messaging and a refined portfolio presence.
04StudiQ — education product
Education-facing product experience with a quiet interface, direct onboarding, and a clear product narrative.
05Ray Fay Leysh — premium coat atelier
In-progress premium coat atelier website with a cinematic product story, futuristic brand language, and early concept presentation.
06Sparks of Sindri — pattern catalog
Pattern-catalog commerce with license-aware browsing, scene-builder entry points, and a restrained studio archive.
FROM WORKFLOW MAP.
TO A WORKING AI SYSTEM.
We keep the first engagement narrow, measurable, and easy to decide on. Strategy, build work, and adoption happen in one operating rhythm instead of separate handoffs.
Audit
3–5 days
We review one workflow, data source, or product journey and identify the highest-value automation points.
Opportunity mapPrototype
1–2 weeks
We turn the best opportunity into a small proof: automation logic, app screen, dashboard view, or AI assistant flow.
Working proofBuild
2–6 weeks
We harden the selected workflow with integrations, permissions, fallbacks, measurement, and launch-ready UX.
Production releaseAdopt
30 days
We document ownership, train users, measure adoption, and define the next backlog only after the first system is useful.
Handover and backlogFIXED STARTING POINTS.
CLEAR AI DELIVERY.
Start with a small, defined engagement. Each package has a timeline, a deliverable, and a decision point before the scope grows. Your project estimate comes from the builder.
Automation Opportunity Audit
An evidence-backed review using stakeholder input, workflow artifacts, and agreed access to the relevant tools or data.
3–5 days
- Workflow map and bottleneck list
- Automation backlog scored by effort and value
- Recommended first workflow with delivery estimate
Workflow Sprint
One production-ready automation loop for sales, reporting, content, support, approvals, or operations.
10–14 days
- Triggers, integrations, fallbacks, and human review points
- n8n, API, CRM, email, spreadsheet, or database wiring
- Handover notes and measurement model
AI Web Application Build
A focused web application, client portal, internal tool, MVP, or AI-enabled product surface built for launch.
4–8 weeks
- Product architecture before implementation
- Next.js, TypeScript, MongoDB, integrations, and deployment
- Admin flows, contact paths, analytics, and launch checklist
Team AI Workshop
Hands-on sessions where the team maps real work into prompts, prototypes, workflow ideas, and adoption rules.
1–2 days
- Role-based agenda for leadership, marketing, operations, or IT
- Reusable prompt patterns and evaluation checklist
- Prototype shortlist and next-step playbook
WHAT COMPANIES ASK
BEFORE STARTING.
These answers keep the first conversation practical and focused on whether there is a useful system to build.
We do both. The work usually starts with a small audit or workshop and moves into an automation, dashboard, or web application when the business case is clear.
Bring one process that wastes time, the tools involved, and the outcome you want. Screenshots, reports, forms, or examples help us estimate the first useful step.
Yes. We usually connect the current stack first: CRM, email, spreadsheets, databases, websites, APIs, analytics, and internal documents.
We start with fixed packages and only expand after a decision point. Larger builds are scoped around deliverables, integrations, risk, and launch requirements.
No. Data readiness is part of the audit. We separate what can be automated now from what needs cleanup, ownership, or a better data model first.
Yes. The 7SAMURAI stack already supports English, Polish, and German content, and additional languages can be added to the same content model.
READY TO BUILD
WHAT'S NEXT?
One conversation. A clear plan. A practical next step.