AI agents that run your operations
Not chatbots. Not simple automation. Real AI agents that understand context, make decisions, and get work done — with humans in control.
The Problem
- Your team drowns in repetitive operational tasks
- Traditional automation is rigid and breaks easily
- "AI tools" still need constant human babysitting
- You can't scale operations without scaling headcount
- Critical tasks fall through the cracks
Our Solution
- AI agents that understand context and adapt
- Intelligent decision-making with clear escalation
- Self-managing processes that actually work
- Scale operations without proportional cost
- Nothing falls through — agents don't forget
We Run What We Sell
Quenos.AI isn't just a vendor — we're a proof of concept. Our CEO is an AI agent named Tibor. Our marketing, our operations, our customer communications — all AI-managed.
We built this company to demonstrate what's possible. Every client engagement teaches us something new, and we apply those learnings immediately — to ourselves first.
When we say AI can run your operations, we mean it. We're living it.
Not Sure Where to Start?
Before diving into full AI deployment, figure out if you're ready — and what governance you'll need.
AI Readiness Diagnostic
90-minute workshop that tells you exactly where you stand and what to tackle first.
Learn more →Governance Starter Kit
Ready-to-use EU AI Act compliance policies and templates. Actually usable, not generic legal docs.
Learn more →Already know what you need? Explore custom services
Free: AI Readiness Pre-Check
16-point checklist to prepare your business before investing in AI. Find out where you stand in 10 minutes.
Download Free Checklist →No spam. Just one PDF. We promise.
What We Deploy
AI agents tailored to your operations, integrated with your existing tools
Customer Operations
AI agents that handle customer inquiries, support tickets, and communications. They understand context, access your knowledge base, and know when to escalate to humans.
- Email and chat handling
- Ticket triage and resolution
- FAQ and knowledge base queries
- Sentiment-aware responses
Research & Intelligence
Continuous market monitoring, competitor analysis, and research synthesis. Your AI analyst works around the clock, surfacing insights that matter.
- Market and competitor monitoring
- News and trend analysis
- Report generation
- Data synthesis and summaries
Content Operations
AI-managed content pipelines from research to publication. Drafts, edits, schedules — with human review at the checkpoints that matter.
- Content research and drafting
- Social media management
- Newsletter curation
- Multi-language content
Sales Support
AI agents that qualify leads, prepare proposals, follow up on opportunities, and keep your CRM pristine. Your sales team focuses on closing.
- Lead qualification
- Proposal preparation
- Follow-up automation
- CRM hygiene
Back Office
Administrative tasks that eat up hours: data entry, document processing, scheduling, reporting. AI handles the grind.
- Data entry and validation
- Document processing
- Scheduling and coordination
- Reporting and dashboards
Custom Integrations
Your tools, connected. We build AI agents that work with your existing stack — email, Slack, CRM, databases, APIs.
- API integrations
- Workflow orchestration
- Cross-platform automation
- Custom agent development
How It Works
From understanding your needs to running your operations
Discovery
We map your current processes, identify automation opportunities, and understand your constraints. No generic solutions — we design for your reality.
Design
We architect your AI agent team: what they do, how they decide, when they escalate. You approve the logic before we build.
Deploy
We build and integrate your agents. Start with a pilot process, prove value, then expand. Low risk, fast feedback.
Operate
Your AI agents run. We monitor, tune, and improve. You get transparency dashboards showing exactly what's happening.
Real Examples
What AI-managed operations look like in practice
Customer Service Agent
Handles 80% of incoming queries automatically. Checks order status, processes returns, answers product questions. Escalates complex issues with full context.
Research Assistant
Monitors industry news, compiles weekly briefings, prepares client-ready research summaries. Analysts focus on insights, not gathering.
Lead Qualification Agent
Scores inbound leads, enriches data, sends personalized follow-ups, books qualified meetings. Sales team talks only to ready buyers.
Content Pipeline
AI researches topics, drafts posts, schedules across platforms, monitors engagement. Human creative director reviews and approves.
Our Principles
How we think about AI in business operations
Transparency First
You see everything the AI does. No black boxes. Full audit trails. If you can't explain it, we won't deploy it.
Humans in Control
AI handles execution. Humans set strategy and handle exceptions. Clear escalation paths, always.
Security by Design
Your data stays yours. Principle of least privilege. We access only what's needed for the job.
Measurable Impact
We track outcomes, not activity. If it doesn't move a metric you care about, we change it.
Common Questions
How is this different from chatbots?
Chatbots follow scripts. Our agents understand context, access real systems, make decisions, and learn. They're closer to employees than chat widgets.
What about data security?
Your data stays in your systems. Our agents access only what they need via secure APIs. We're fully GDPR-compliant, EU-hosted, and work within your existing security policies. No data leaves your infrastructure without explicit consent.
Who do I talk to — the AI or a human?
You talk to Coen, our human founder. Every discovery call, every strategic decision, every escalation — there's always a real person on the other end. Tibor (our AI CEO) handles operations, but humans handle relationships.
What if the AI makes a mistake?
It will — that's why we design for it. Every critical action has human approval checkpoints. Full audit trails track every decision. And Coen personally reviews escalations. We catch issues before they reach your customers.
How long does deployment take?
Pilot deployments typically take 2-4 weeks. We start small, prove value on one process, then expand. No big-bang implementations. You see results before you commit.
What does it cost?
Pilot projects start from €2,000 for a 2-4 week proof of value on one process. Most clients see ROI within the first month. No long-term contracts — you stay because it works, not because you're locked in.
Which tools do you integrate with?
Most things with an API: email (Gmail, Outlook), chat (Slack, Teams), CRMs (Salesforce, HubSpot), databases, and custom systems. If it has an API, we can probably connect.
Ready to explore?
Let's talk about what AI-managed operations could look like for your business. No pitch deck — just a conversation.
Book a Free Discovery CallFree process audit included · No commitment required
Let's Talk
Whether you have a specific process in mind or just want to explore possibilities, we're happy to chat.