Reliable, sovereign, human-centric
First, your digital double.
Next, frontier models and orchestration,
unlocking trusted AI Autonomy.
How can we help you?
We know that de-risked AI adoption is mission-critical, so we're here for you.
From AI roadmap to working agents
for growing companies
We help you choose the right workflows, build governed agents into your
existing tools, and scale what works
Many teams experiment with ChatGPT or AI apps, but real work still runs on emails, spreadsheets, and legacy tools. Leaders worry about security, privacy, cost and vendor lock-in; employees hesitate, unsure what’s safe, useful, or how AI might quietly break things
We help growing companies move from scattered experiments to governed, working agents. Together we pick real workflows, design guardrails, use the cheapest capable models, and build pilots inside existing tools—then scale what works, with clear ownership, simple governance and proof you can show to security, finance and leadership
Plan, pilot, roll out
Choose a starting domain - Sales, Support, Finance, or Compliance
Workshops and trainings
Fast alignment and hands-on skills
AI Agent examples & demos
LLM Routing Agent
Picks the cheapest capable model for each task
One-page routing table with costs & snippets
EU Tender Intelligence
Finds the newest tenders that match your criteria
Ranked summaries with TED source links
Weekly Compliance Digest
Tracks regulatory changes on topics you choose
Weekly brief with highlights and citations
EIC Proposal Generator
Drafts a structured Accelerator proposal from your inputs
Executive summary + market
snapshot
Founders
Bartek Boniecki
AI agents, orchestration, AI cybersecurity
Venture builder, experienced manager, and innovation consultant with 100+ completed technology commercialization projects and go-to-market strategies
Our insights
Stay in the loop, get our insights & updates
Our privacy policy
This Privacy Policy explains how Otono.me (“we”, “us”, “our”) collects, uses, and protects personal data when you visit our website, contact us, or engage with our services.1. Who Is Responsible for Your Data
Venture name: Otono.me.
Contact email: [email protected].
Website: https://otono.me.
The individuals operating Otono.me are jointly responsible for the processing of personal data in connection with this website and our services.2. Personal Data We Collect
2.1.Information You Provide
We may collect personal data that you voluntarily provide, including: name, email address, company name, job title, phone number, messages or information submitted via contact forms, booking tools, or email.2.2. Client & Project Information
When delivering AI strategy, workshops, proofs of value, or rollout support, we may process: business process descriptions, high-level technical or organizational information, test, synthetic, or anonymized datasets (where possible).
We do not intentionally request or require sensitive personal data unless explicitly agreed and necessary for a specific engagement.2.3. Technical Information
When you visit our website, we may automatically collect: IP address, browser and device information, pages visited and interaction data, cookies or similar technologies.3. How We Use Personal Data
We use personal data to:
a) respond to inquiries and requests,
b) schedule calls and workshops,
c) deliver consulting and AI-related services,
d) communicate about proposals, projects, and updates,
e) improve our website and service offering,
f) ensure security and prevent misuse.
We do not sell personal data and do not use it for automated decision-making with legal or similarly significant effects.4. Legal Bases for Processing
Where GDPR applies, we rely on one or more of the following legal bases:
a) consent – when you submit information or contact us,
b) contractual necessity – to provide requested or agreed services,
c) legitimate interests – to operate and improve our services, and to ensure security,
d) legal obligations – where required by law.5. AI & Data Use Principles
In providing AI-related services, we follow these principles:
Data minimization – only data necessary for agreed purposes is processed.
Purpose limitation – data is used only within the scope of the engagement.
Client control – clients remain responsible for their data unless otherwise agreed.
No model training by default – client data is not used to train general-purpose AI models without explicit written consent.
Human oversight – AI systems are designed with human review and accountability.6. Sharing of Personal Data
We may share personal data with:
a) service providers (e.g. hosting, scheduling, analytics tools),
b) independent collaborators involved in delivering services,
c) professional advisors if required (e.g. legal, accounting).
All third parties are required to process data securely and only for agreed purposes.7. International Data Transfers
Personal data may be processed outside your country of residence. Where required, we rely on appropriate safeguards such as:
• Standard Contractual Clauses
• Adequate data protection frameworks
• Equivalent lawful transfer mechanisms8. Data Retention
We retain personal data only for as long as necessary:
a) contact and inquiry data: typically up to 24 months,
b) client engagement data: for the duration of the engagement and as reasonably required afterward,
c) legal or compliance data: as required by applicable law.
Data is deleted or anonymized when no longer needed.9. Your Rights
Depending on your location, you may have the right to:
a) access your personal data,
b) correct inaccurate or incomplete data,
c) request deletion of your data,
d) restrict or object to processing,
e) withdraw consent at any time,
f) lodge a complaint with a data protection authority.
Requests can be sent to [email protected]10. Cookies
We use cookies and similar technologies to ensure basic website functionality and to understand how our website is used.
You can control cookies through your browser settings. If required, a separate Cookie Policy may be provided.11. Security
We apply reasonable technical and organizational measures to protect personal data, including:
a) limited access to data,
b) secure hosting and tools,
c) confidential handling of client information.
Despite these measures, no system can be completely secure.12. Children’s Data
Our website and services are intended for professional and business users. We do not knowingly collect personal data from children.13. Changes to This Policy
We may update this Privacy Policy from time to time. The most current version will be published on our website with an updated date.14. Contact
If you have any questions about this Privacy Policy or data protection at Otono.me, contact us at: [email protected]
Our insights
Stay in the loop, get our insights & updates
Leverage AI that actually ships
Begin with one high-value workflow. Launch a governed pilot. Then clear rollout and playbooks your team can run.
Every success accompanied by four failures
Most AI conversations start with tools. Most AI failures start there too. In our experience, models are rarely the real blocker—the method is. The hard parts are choosing the right first workflow, involving people early, training them well, and putting simple guardrails in place.
We see AI less like a one-time surgery and more like physiotherapy: outcomes come from steady practice, clear milestones, and working within real-world constraints—legacy systems, regulation, risk concerns, procurement, and hiring gaps. Our work focuses on embedding AI into everyday processes in a safe, measured way so many small improvements add up to durable value.
Your Challenge
AI sounds great in theory, but enterprise reality - old systems, regulation, skills gap, resistant culture - makes it messy.
AI talk starts with tools instead of real workflows.
Legacy systems, risk, and approvals stall promising ideas.
Teams aren’t sure how AI changes their day-to-day work.
Our Promise
A modular, step-by-step program that reduces risk, builds buy-in, and delivers measurable results.
Start with one clear, measurable pilot—not a 50-page deck.
Design with your people: training, ownership, and guardrails included.
Build a path from first pilot to repeatable, safe rollouts.
Choose your plan
Adopt where it's needed
Customer support triage & drafting
Cluster tickets, suggest replies grounded in your help center/policies, and route to the right queue.
HR - automate what’s boring
Pre-screen incoming CVs against clear criteria, surface top matches, generate first-week plans.
Lead qualification and activation
Score inbound leads, draft short, context-aware outreach, plan the next best touches.
Quality & compliance policy assistant
Draft and update quality, privacy, security policies and prep ISO applications with a simple change log.
Founders
Bartek Boniecki
AI agents, orchestration, AI cybersecurity
Venture builder, experienced manager, and innovation consultant with 100+ completed technology commercialization projects and go-to-market strategies
Based on our experiences from:
Let us know your goal
Foundations
Align on where AI fits and what happens first.
Best when:
You explore AI, hear mixed opinions, and don’t want a 6-month project.
You get:
Shared view of AI priorities
Shortlist of strong first use cases
Clear owners and next steps
How we work (2 weeks):
Interviews with key people
1 working session to decide focus
1–2 concise docs: readiness snapshot + adoption brief
Proof of Value
Turn one workflow into a measurable pilot.
Best when:
You know a promising use case and want proof it works in your environment.
You get:
One live agent / workflow in a real process
2–3 KPIs tracked (e.g., time saved, accuracy)
Guardrails tested with your team
How we work (2-4 weeks):
Co-select use case & KPI
Configure and connect safely
Run pilot, review results, decide go / no-go
Enterprise Rollout
Scale what works, without losing control.
Best when:
You’ve proven value in one area and want 3+ workflows running safely.
You get:
Prioritised rollout plan
Shared governance & access model
Review cadence and improvement backlog
How we work (8-12 weeks):
Standardise guardrails and patterns
Support new workflow launches
Transfer ownership to your teams
Stay in the loop, get our insights & updates
Governed AI agents
For your sales, support, finance, and compliance.
Inside your existing workflows. With clear approvals, safe data use, and simple logs.
Your Challenge
AI sounds great, but old systems, rules, and skills gap make it hard to start.
We’re worried about unpredictable AI costs and paying for tools we barely use
Security and IT won’t say “yes” without control and visibility
Off-the-shelf AI feels generic, and people aren’t sure how it will change their work
Our Promise
Start small: one real workflow, live in your existing tools, measured in weeks
Cost control by design: cheapest capable models, smart reuse, and clear usage caps
Built-in trust: minimal access, human approval on sensitive actions, simple activity logs so your security lead can say “yes” quickly
Co-designed with your team: training, ownership, and guardrails so people actually adopt it
Sales & Marketing Agents
Lead Qualification & Outreach Agent
Your team loses time chasing low-fit leads
This agent scores incoming leads using simple rules you define, drafts short message your reps can send and proposes the next task.
Deal prioritization let you focus on the right ones
Pipeline Reactivation Agent
Deals quietly die in your CRM
This agent flags stalled opportunities & proposes relevant follow-ups with coaching tips (“mention X case study”).
You get reactivated deals, no changes to IT
Sales Call / Meeting Co-Pilot
Reps dig through tabs before every call.
Before each call, this agent compiles a short brief from CRM data, past emails, and key facts.
Outcome: better-prepared conversations in minutes with coaching tips (“mention X case study”).
Regulatory & Compliance Assistants
Regulatory Filing
Drafting filings is slow and error-prone.
Filing Assistant drafts sections based on your existing policies, templates, and regulatory guidance with clear references for legal/compliance review.
You get Filing Template Pack + reviewer checklist
Continuous Monitoring & Risk Alerts
Regulatory changes are easy to miss.
The agent scans agreed, trusted sources and produces a concise digest of relevant changes with links and suggested priority
Stay ahead and know what to look at first.
Policy Implementation
Policies exist, adoption doesn't.
The agent maps processes, requirements & policy docs, turning them into action plan for your team.
Outcome: practical rollout plans you can use + drafted SOPs and checklists
Finance & Controlling Co-Pilots
Profitability Insights
Seeing true margin by product or segment takes hours in spreadsheets
This agent analyzes your P&L and sales data to spot products, customers, or channels that underperform.
Simple insights where you earn, where you leak, what to cut, fix, or double down
Cash Flow Management
Cash surprises appear too late.
Using financial data, this Co-Pilot builds a rolling short-term cash view with clear timeline, prioritized collections list and upcoming gaps and their drivers
Result: 13-week cash forecast with liquidity risks and levers
Pricing Optimization and Strategy
You change prices but still miss your goals.
The agent combines sales data and competitor signals to recommend where to raise, hold, or flex prices, providing alerts on risky deals.
Get data-based pricing moves for revenue growth, profitability, or new markets
Targeted Agent Pilot
Starter
Starting point
Design 1 Agent Spec (allowed actions, thresholds, review points)
Pilot launch in a single workflow (sales, compliance, or finance)
Built-in guardrails (audit logs, approvals, rollback paths)
Result
A safe, functional agent running in one critical area
Multi-Agent Expansion
Scale
Everything in Starter plus
Deploy 2–3 domain agents (e.g., Sales Outreach + Compliance Assistant)
Reactivation or Monitoring dashboards for visibility
Usage telemetry + improvement feedback loops
Result
Multiple agents embedded in workflows, improving productivity and compliance.
Enterprise Agent Mesh
Pro
Everything in Scale plus
Full suite of enterprise agents across functions (Sales, Compliance, Finance)
Unified governance & audit framework
Integration with system-of-record data & APIs
Monthly optimization cycles
Result
A governed AI workforce operating across the enterprise, with explainability, control, and measurable ROI.
📦 Deliverables Always Include: Guardrails, audit trails, and rollout playbooks so adoption is safe, fast, and scalable.
Stay in the loop, get our insights & updates
AI Adoption Workshops
Each workshop is short, practical, and ends with tools your team can actually use the next day.
Scope
When AI meets privacy
Goal
Turn GDPR into simple daily rules.
Deliverables
Starter AI Privacy Policy
Data Cheatsheet
Reusable Use-Case Review Template
When AI meets cybersecurity
Goal
Spot threats, set practical controls, ship safely.
Deliverables
Logging Map
Extended Detection & Response (XDR) Playbook
Secure Deployment Pattern
When everyone meets to deploy AI
Goal
Align sponsor, ops, IT, and end-users around a pilot
Deliverables
Pilot Brief
Workflow Sketch
Success Metrics
Authors
Bartek Boniecki
AI agents, orchestration, AI cybersecurity
Venture builder, experienced manager, and innovation consultant with 100+ completed technology commercialization projects and go-to-market strategies
Based on our experiences from:
Based on our experiences from:
Detailed workshop programs
When AI meets privacy
For leaders and professionals responsible for privacy & security, legal, product, HR who want to understand the impact of privacy breach on the short and long term, and the state-of-art implementation to avoid pitfalls.
Objectives
Translate GDPR into everyday build choices
Take-homes
AI Privacy Starter Policy (1–2 pages, plain language)
Data Handling Cheatsheet (collect / don’t collect, keep / delete)
Use-Case Review Template (one-pager teams can reuse)
Optional add-ons
Policy review, vendor assessment clinic.
Agenda (½–1 day)
What “AI & personal data” really means
Prompts, training data, outputs, logs, and where personal data can sneak inSimple rules that work
What to collect, what to avoid, how long to keep it, who can see it.Using external AI tools safely
What’s sent to vendors, opt-outs, contracts.Who owns your data
How to identify these entities and make your data private again.Hands-on mini-clinic
Review one real use case; write 6–8 clear do’s/don’ts your team will actually follow.
When AI meets cybersecurity
Who is it for
Directors and chief executives responsible for Information / Application Security and Technology
Product owners
Public sector & defense contractors with emerging AI programs.
Objectives
Spot real threats, set practical controls, and ship safely
Take-homes
AI Logging Map → SIEM (sources, fields, retention)
Baseline Detection Rules (prompt-abuse, exfil indicators, anomalous tool use)
XDR Response Playbook (Lite) (contain, rollback, notify, learn)
Red-Team Playbook (Lite) (Markdown)
Secure Deployment Pattern (diagram).
Optional add-ons
System walkthrough, roadmap clinic
Agenda (½–1 day)
Threats in the real world
Prompt injection, data exfiltration via tools and connectors, over-permissive integrations.Prevention & hardening
Access boundaries, input/output filtering, secrets handling, environment isolation, least-privilege service accounts.Monitoring that matters (SIEM)
What to log from AI systems (prompts, outputs, tool calls), how to route into your SIEM, example detection rules and alerts.Counteraction & response (XDR)
Use XDR playbooks for containment (keys, tokens, accounts), rollback of bad actions, notify owners.Hands-on “break & fix”
Mini red-team on a demo app; tune a few rules; walk through a response.
When everyone meets to deploy AI
For leaders or managers and innovators who:
know that they need to implement AI with their team but do not know how.
face struggle to extract real value in their current AI implementation
Objectives
Pick one use case, agree the rules, ship a small pilot, and know how you’ll measure success
Take-homes
Pilot Brief (1-pager) — scope, metrics, owners, dates
Target Workflow Sketch — insert vs. reshape, checkpoints
Optional add-ons
Policy review, vendor assessment clinic
Agenda (½–1 day)
Pick the right first use case
Score quick value, low risk, clear owner.Map the real workflow
Where to insert an agent vs. where to reshape the flow; keep human checkpoints.Set simple guardrails
Who approves what, basic access, logging, rollback.Plan the pilot
What “done” looks like, 3–5 metrics, timeline, who’s doing what next week.Adoption beats ambition
Training slots on the calendar, champions named, feedback loop opened.Moat mindset
Identify the enterprise data that actually gives you an edge; plan how to use it safely in the pilot.
Stay in the loop, get our insights & updates
Stay in the loop, get our insights & updates
For leaders who want AI to pay off
The SME Playbook for Trusted AI Adoption
A practical guide for 20–200-person companies to deploy AI successfully and securely, without breaking workflows or compliance.
PDF, 38 pages • 15-minute read • No fluff
Is it you?
CEO / Founders of SMEs with 20-200 employees
Using basic AI tools (chatbots/early agents), worried about security
Seeking a safe, practical rollout now, not a 12-month program
It's NOT for you if you are not ready to invest your time and you results in 24 hours. Good results closely bound to smooth cooperation: we need your knowledge to succeed.
MIT report: 95% of genAI pilots at companies fail. Why?
The most important barrier? - Employees don't want to adopt enterprise AI tools. At the same time, the overwhelming majority uses AI chatbots like the most popular ChatGPT to better and faster perform their tasks. Why are they so reluctant to enterprise-level AI tools?
Unwilling stance may result from uncertainty. Persistent narratives about replacing human workers with AI agents reinforce negative sentiment towards AI tools. Persistent change of such an employee stance is a sine qua non to successful post-pilot adoption and requires three key steps: speak the language of human-enabling AI, not human-replacing, make this voice well-heard, and plan smooth change management. This is what our playbook is centered around.
The other part of the equation is trust in AI tools on your agenda. Forget about enterprise software offering rigid output with limited customization options; it will always be beaten by personal use of AI chatbots that let users tailor the output to their needs (i.e., guide conversation) and iterate until they are satisfied.
Our remedy: focus on people, start small, use the right tools
Identify the most promising use cases
Map your goals, key processes, and how work actually happens today. Our playbook will help you to spot internal AI champions, stakeholders, and decision makers (so you know who to involve from day one), as well as to identify use cases where AI can clearly save time or improve quality without disrupting what already works.
Align with your operations and priorities
This part of the playbook focuses on short-listing the use cases that match your current priorities and budget. If possible, prefer to reinforce, not revolutionize. Focus on a small number of initiatives that strengthen what you already do - either front-office or back-office operations. where the balance of impact and feasibility is obvious. In practice: pick a small set of projects with clear owners and a believable, measurable return (time saved, faster delivery, fewer errors).
Set the ground so projects don’t stall
We make sure the basics are in place so pilots don’t die quietly after a few weeks. You secure explicit executive support and a realistic budget, then assemble a small cross-functional team with clear roles and responsibilities.
In parallel, the playbook guides you through simple, SME-ready security basics: vetted-tools-only policy, least-privilege access and MFA, plus clear “do / don’t” rules so AI is secure by design and doesn’t overburden your IT or compliance.
Start small, prove it, and learn fast
Here are just a few tips: double down on what works, use visible, small wins to demonstrate progress and encourage calculated risk-taking across the company. Make human verification for critical actions must-have – AI never acts alone on high-risk decisions.
Here are just a few tips: double down on what works, use visible, small wins to demonstrate progress and encourage calculated risk-taking across the company. Make human verification for critical actions must-have – AI never acts alone on high-risk decisions.
Cross the genAI chasm: turn one pilot into everyday use
This is where the majority fails. No AI initiative succeeds without real employee buy-in.
To keep adoption going after the first excitement fades, you will need to address the main concerns, either emotional or technical-oriented, provide ready-to-use upskilling paths and short training formats so employees feel equipped, not replaced, and understand where AI helps them do their best work.
For full sustainability, you’ll learn to build two connective tissues. On the organizational side, our IMAGINE framework gives you a simple structure for ongoing communication, clear guidelines, champions in each team, and incentives that reward using AI where it truly helps. On the technical side, we outline methods to address concerns like “I don’t want to use an AI tool that forgets context, doesn’t learn, and can’t evolve.” or “I don’t feel tools that our company uses are secure.
We believe that, together, these steps help SMEs move from “we tried a pilot once” to “AI quietly helps our people every day.”
Check what the top 5% AI adopters do differently to succeed
Authors
Bartek Boniecki
AI agents, orchestration, AI cybersecurity
Venture builder, experienced manager, and innovation consultant with 100+ completed technology commercialization projects and go-to-market strategies
Based on our experiences from:
Pure value. No fluff.
A practical guide for 20–200-person companies
Deploy AI securely without breaking workflows or compliance
People & Process: Scripts, training paths, role-based guardrails
Security & Compliance: Data classification flow, access policies, audit checklists
Governance & ROI: Lightweight governance model + KPI starter pack
Download the playbook.
Find the first use cases and secure tech stack
By submitting, I agree to the processing of my personal data by Otono.me as described in the Privacy Policy.
Stay in the loop, get our insights & updates
For leaders who expect their business to survive any AI or IT catastrophe
The SME Playbook for Resilient AI Operations
A practical survival guide for 20–200 employee companies to protect revenue, workflows, and operations from AI outages, failures, and silent risks.
PDF • 38 pages • 15-minute read • Practical templates included
Is it you?
CEO / Founder
20–200 person company
Already using AI daily
to automate operations and decision-making
Seeking robust technology
that won’t go down even if the entire Internet does
This playbook is not for companies who expect "set-and-forget AI" solutions. Real resilience requires leadership attention and action. Results depend on rapid cooperation and implementation.
Are you prepared for AI going down - again?
MIT report: Over 90% of employees use personal AI tools at work, often without IT approval.
Most SMEs don’t know:
which AI tools their employees use
for what tasks
how deeply core operations depend on these tools
When AI systems fail, it’s not just an IT issue — it’s a full operational breakdown, especially for sales, support, and frontline teams.
Large enterprises spend millions on redundant AI infrastructure. SMEs rarely have that luxury.
So what happens to your company when your AI stack goes dark for hours... or days?
Our remedy: spot every AI use, ensure offline fallbacks, craft a plan
Inside the Playbook
Multi-model strategy
CDN risk mitigation
Compute redundancy
Credential failover
Governance & compliance
Emergency response templates
Discover what the top AI-powered SMEs do differently
Authors
Bartek Boniecki
AI agents, orchestration, AI cybersecurity
Venture builder, experienced manager, and innovation consultant with 100+ completed technology commercialization projects and go-to-market strategies
Based on our experiences from:
Pure value. No fluff.
Secure AI deployment: no breaking workflows or compliance
People & Process: Scripts, training paths, role-based guardrails
Security & Compliance: Data classification flow, access policies, audit checklists
Governance & ROI: Lightweight governance model + KPI starter pack
Download the playbook.
Safeguard your AI operations today.
By submitting, I agree to the processing of my personal data by Otono.me as described in the Privacy Policy.
Stay in the loop, get our insights & updates
The SME Playbook for Resilient AI
Operations
Inside the Playbook
Mapping every AI dependency
Introducing fallback alternatives
Building local AI continuity
Securing computing independence
Key components of an AI-down action plan
Besides: * Multi-model strategy * CDN risk mitigation * Compute redundancy * Credential failover * Governance & compliance * Emergency response templates
Connect to check how we improve AI resilience
Gdy dziecko zaczyna traktować AI jak przyjaciela: jak rozpoznać sygnały ostrzegawcze i mądrze reagować
Dla 72% nastolatków AI chatbot jest jak kolega, przyjaciel lub partner - Common Sense Media.
📅 Piątek, 15 stycznia, godz. 18:00 (online)
Wyślemy link i materiały • sygnały ostrzegawcze • zaawansowane ustawienia kontroli • wskazówki jak rozmawiać.
To coraz większy problem
Naruszanie prywatności
Chatboty AI zbierają i udostępniają dane osobowe, nawet intymne - w tym o zainteresowaniach, nastrojach i lękach dzieci - często przy niejasnych zasadach przetwarzania danych
Treści seksualne i przemocowe
Meta (Facebook, WhatsApp, Instagram) pozwoliła swoim asystentom AI „flirtować i odgrywać z dziećmi romantyczne scenki”. Z dziećmi w wieku zaledwie 8 lat. Pod naciskiem mediów część wytycznych została usunięta
Bezkrytyczna afirmacja
Modele językowe są projektowane tak, by bezkrytycznie zgadzać się z użytkownikiem. Są przez to niebezpieczne dla osób doświadczających urojeń, myśli samobójczych, halucynacji oraz zaburzeń obsesyjno-kompulsyjnych
Rozpoznaj sygnały ostrzegawcze i reaguj mądrze
Dla kogo jest ten webinar
Rodzice dzieci w wieku 9–17 lat
chcesz wprowadzić zasady bezpiecznego korzystania z AI w domu
przypuszczasz, że dziecko może budować niezdrową relację z AI
widzisz, że dziecko ukrywa ekran swojego telefonu, nerwowo reaguje na pytania co robi
Psycholodzy, pedagodzy, terapeuci
pracujesz z młodzieżą i widzisz, że AI wchodzi w obszar relacji, seksualności i regulacji emocji
prowadzisz interwencje kryzysowe
potrzebujesz języka i ram do rozmowy z rodzicem
O czym będzie webinar
01. Sygnały ostrzegawcze gdy AI staje się "przyjacielem"
Stwierdzenia „on/ona mnie najlepiej rozumie”, ukrywanie czatów, uzależnienie emocjonalne, spadek zainteresowania relacjami z ludźmi.
02. Prywatność i bezpieczeństwo danych
Co dziecko może ujawniać, czego nie, i jak tłumaczyć to prostym językiem.
03. Pierwsza pomoc rodzica i specjalisty
Zainteresowanie i zrozumienie („co ci to daje?”) zamiast oceniania. Uświadamianie ryzyk. Pomoc specjalistyczna.
04. Zasady korzystania z narzędzi AI w domu
Dobre praktyki i wspólne ustalanie zasad: dane wrażliwe, limity czasu, ograniczenia wiekowe, możliwe zastosowania AI.
05. Aplikacje wymagające uwagi
„AI companions”, roleplay, aplikacje mental health, AI w social mediach, chatboty, AI w przeglądarkach.
06. Sytuacje wysokiego ryzyka
Treści seksualne, przemocowe, autoagresywne; deepfake lub sextortion: zabezpieczanie dowodów, zgłaszanie, cyber higiena.
Co otrzymasz po zapisie
Checklista „sygnały ostrzegawcze”
Co sprawdzić, by wychwycić
potencjalne zagrożenia (do wydruku)
Lista ustawień kontroli rodzicielskiej
Najważniejsze ustawienia urządzenia i aplikacji
Szablon „Rodzinne zasady"
Gotowy do użycia szablon (3 poziomy wiekowe)
Podpowiedzi jak zacząć rozmowę
Wskazówki do wykorzystania na początku rozmowy z dzieckiem
Co mówią eksperci
Narażenie na internetowe wykorzystanie seksualne powoduje u dzieci i nastolatków szereg różnych negatywnych skutków - takich jak zachowania hiperseksualizowane i silne poczucie wstydu
Jenny Radesky, Badaczka Uniwersytetu Michigan
Manipulacja emocjonalna jako nowa taktyka zwiększania zaangażowania nie była czymś dziejącym się tylko na marginesie - była już bardzo powszechna w tych aplikacjach
Julian De Freitas, Profesor Uniwersytetu Harvarda
O nas
Bartek Boniecki
Ekspert Komisji Europejskiej, przedsiębiorca w branży AI security
Współzałożyciel Relock Inc., rozwijającej technologie cyberbezpieczeństwa. Pomaga zabezpieczać AI przed cyber zagrożeniami i redukować koszty AI w organizacjach.
Wybrane publikacje
"Rodzinna polityka AI - rekomendacje"
"Jak uczyć korzystania z AI, monitorować i reagować na zagrożenia"
"Mitigation of Artificial Intelligence security risks"
"Mastering MFA security: understanding the threats and how to mitigate them"
Anna Boniecka
Psycholożka i konsultantka kryzysowa
Pracuje z dziećmi w wieku szkolnym. Absolwentka psychologii, ukończyła kursy terapii lęku u dzieci i młodzieży i psychotraumatologii. Prowadzi konsultacje indywidualne oraz interwencje kryzysowe.
Wybrane publikacje
"Emocjonalna zależność od AI "towarzyszy" - sygnały ostrzegawcze"
"Jak pomóc dziecku z zaburzeniami lękowymi"
"Asertywność i umiejętności społeczne u dzieci"
"Czym są dziecięce fobie i jak sobie z nimi radzić?"
Zapisz się na webinar
Zyskaj praktyczną wiedzę i bezpłatne narzędzia do budowania dobrych nawyków i skutecznej ochrony dzieci i młodzieży.
Nie wysyłam spamu. Zapisując się, wyrażasz zgodę na politykę prywatności.
Najczęściej zadawane pytania
Least-privilege access
We only request access to the minimum tools and data needed
Privacy-first
We don’t store your data unless a project explicitly requires it.
Transparent activity
Simple logs of agent activity are available on request
Human-in-the-loop approvals
Sensitive actions are always confirmed by your team