Superbo AI

Most enterprise AI projects die in the scoping phase. Six-month evaluations. RFPs that ask about features instead of outcomes. Pilots with no decision criteria. Steering committees that meet monthly to approve a roadmap nobody owns. Integrations scoped before anyone has agreed what success looks like. A year in, the only thing live is a Slack channel. That's not enterprise AI. That's a procurement exercise. We run it differently. Every new engagement starts with four questions, and we will not scope anything until we have honest answers: → Where does your team currently lose the most time or make the most mistakes? → Who owns the AI roadmap, and is there an existing initiative this can attach to? → Is there a business reason this needs to be solved by a specific date? → If we showed you a working pilot on your own documents in two weeks, what would you need to see to call it a success? No urgency, no deal. No owner, no deal. No success definition, no deal. We would rather walk away at question three than spend six months building something nobody asked for. If the answers are there, the path is short: → Week 0: agree scope on one team, one question type → Week 1: share your documents, PDFs, product guides, structured sources → Week 2: live on your content, your staff asking real questions, you verifying quality → Month 2: measure time saved, accuracy, confidence. Expand or stop. Your call. No integrations. No core system access. No IT project. Documents only in the MVP, GDPR and IDD-compliant anonymisation, zero lock-in. The pilot is independent of the full contract. Two weeks to live. If that sounds like the way your team would rather buy enterprise AI. DM us or drop a comment. #AgenticAI #EnterpriseAI #InsuranceAI #AITransformation #GTM

Excited to be attending NYC TECH WEEK by a16z for: “Building to Disrupt: AI in Enterprise & Fintech” A rare chance to explore where enterprise AI stops being theatre and starts becoming infrastructure. #NYTechWeek #EnterpriseAI #Fintech #AI

Most sportsbooks talk about responsible gambling like it's a compliance checkbox. A pop-up about deposit limits. A link to a self-exclusion form. A monthly email summarising spend. A toll-free helpline at the bottom of the footer. A "are you over 18?" gate. A 12-question self-assessment buried three menus deep. That's not player protection. It's paperwork. An AI agent embedded inside the sportsbook can sit alongside the bettor in real time, not to block them, not to lecture them, but to surface the patterns they can't see in their own behaviour as it happens. → Personal betting profile and ROI by market → Pre-bet behavioural brief on emotional bias → Real-time loss-chasing detection → Decision quality scoring, separated from outcomes → Bankroll-aware stake suggestions → Session summary with acknowledged flags The hero moment isn't the analytics dashboard. It's the agent catching a stake jump of 150% on a higher-odds market two minutes after a loss, flagging the pattern, and leaving the decision with the bettor, who pauses, lowers the stake, and confirms. No blocking. No lecturing. Clear boundary. This is what player-centric responsible gambling looks like when you stop treating it as a compliance layer and start treating it as a product feature. It protects the long-term player. It protects the operator's licence. And it gives regulators something they've never had before, evidence the operator is actually paying attention. If your responsible gambling programme is still living in pop-ups and footers, let's talk. DM us or drop a comment. #AgenticAI #EnterpriseAI #ResponsibleGambling #iGaming #SportsBetting #PlayerProtection

Enterprise AI is easy… until it meets production. Governance. Security. Compliance. Legacy infrastructure. Integration complexity. That’s where most AI ambitions stall. Superbo AI will be at NYC TECH WEEK by a16z, June 1–7. Demetri Papazissis will be in NYC meeting enterprise leaders, strategic partners, operators, and select investors who understand that enterprise AI is no longer about demos. It’s about execution. Superbo AI is building the Enterprise AI OS, the governed execution layer where enterprise AI operates securely at scale. If you're in NYC and want to connect, reach us at: nyc@superbo.ai

🚨 New podcast episode with Startups Magazine AI is everywhere right now, but for most businesses, the challenge isn’t access to AI. It’s knowing where AI actually creates value, where it introduces risk, and how to move from experimentation to real operational impact. In the latest episode of The Cereal Entrepreneur Series, our Co-Founder & CEO, Demetri Papazissis, sat down with Anna Wood from Startups Magazine to discuss: → Why businesses should move beyond the agentic AI hype → What “AI readiness” actually looks like in practice → Where autonomous AI systems create real business value → The mindset required to build and scale in a rapidly evolving market At Superbo, we believe successful AI adoption starts with the business problem, not the technology. The question isn’t “How do we use AI?” It’s “Which workflows matter most, and what level of autonomy is actually safe and valuable?” A big thank you to Startups Magazine and Anna Wood for the conversation. 🎧 Listen here: https://lnkd.in/egF8xxhj #AgenticAI #ArtificialIntelligence #EnterpriseAI #AITransformation #Startups #Entrepreneurship

Demetri Papazissis, CEO & Co-founder of Superbo AI, reframes enterprise AI as an operational discipline rather than a model race, sharing why governance, workflow architecture, accountability, and the emerging “Time Economy” will define which organizations scale AI successfully over the next decade. Read More:- https://lnkd.in/dn3drSaV #AITP #AITechPark #Guestinterview #SuperboAI #accountability

🚨 Now live: a brand new episode of The Cereal Entrepreneur Series! 🎙️ Season 9, Episode 4: Beyond the Agentic AI Hype with Superbo AI In this episode, #StartupsMagazine Editor Anna Wood sits down with Demetri Papazissis, Co-Founder and CEO of Superbo AI, to discuss how businesses can cut through the noise surrounding AI and focus on what actually drives results. From data readiness and practical AI adoption, to entrepreneurship, growth, and the mindset needed to build and scale a business — this episode explores what founders should really be prioritising as AI continues to evolve. 🎧 Listen now: https://lnkd.in/egF8xxhj #StartupsMagazine #StartupsPodcast #TheCerealEntrepreneur #AgenticAI #ArtificialIntelligence #Startups #Entrepreneurship

One of the most interesting questions that came up during a recent customer demo: “What workflows would you refuse to apply AI agents to?” Our CTO’s answer surprised people: If a workflow is 100% deterministic, an AI agent is probably the wrong solution. If every step is predefined, rule-based, and predictable, you don’t need reasoning. You need automation. A simple workflow engine will often outperform an agent in reliability, cost, and maintainability. But that’s not the only category where we become cautious. Here are a few situations where we usually slow down and ask harder questions: 1. Fully deterministic workflows   If BPM or traditional automation solves it cleanly, don’t force an agent into it. 2. Processes dependent on tribal knowledge   If the process only works because “Maria just knows,” the problem is missing knowledge capture — not missing AI. 3. No clear escalation path   Agentic systems need boundaries.   If nobody knows who steps in when something fails, autonomy becomes risky. 4. Broken processes disguised as AI opportunities   AI won’t fix unclear approvals, poor data quality, or organizational friction. Sometimes process redesign comes first. 5. High-risk decisions with unclear accountability   In areas like compliance, legal interpretation, or financial approvals, the right design is often AI-assisted, not fully autonomous. The reality is: Good AI implementation is not about maximizing autonomy. It’s about choosing the right level of autonomy for the workflow. Sometimes that means an agent. Sometimes it means automation. And sometimes the right answer is: not yet. Curious: what workflow in your company would you not trust to an AI agent? #AgenticAI #EnterpriseAI #BusinessAutomation #WorkflowAutomation #AITransformation #ArtificialIntelligence #DigitalTransformation #EnterpriseSoftware

Everyone's shipping AI features. Nobody's asking what happens when it touches real data. In enterprise workflows, the real bottleneck is data. Specifically: how AI interacts with structured data. A user asks: "Find me a 5G plan under €20 with at least 100GB and unlimited calls." A typical AI system returns plans over budget, missing constraints, or partially relevant. Not because it's dumb, because it's guessing based on similarity. Semantic search works well for documents. It breaks down when precision matters. The fix isn't a better model. It's a different retrieval architecture: Instead of searching, the agent translates intent into constraints → natural language to SQL → exact matching rows from real source data. The output changes completely: only valid options, exact prices, full traceability. No hallucinated values. This is the difference between exploration and decision-ready output. At Superbo, we treat structured data access as a foundational design problem, not an integration afterthought. Because AI operating inside real workflows (pricing, inventory, eligibility, policies) needs to retrieve with precision, not approximate with confidence. If you're building enterprise AI and this is still unresolved in your stack, it's worth a conversation. #EnterpriseAI #AIAgents #StructuredData #NaturalLanguageToSQL #AIStrategy

We’ve been supporting reforestation efforts through Evertreen. Not as a one-off initiative, but as part of how we think about long-term impact. At Superbo, our work is centered on designing systems that operate reliably at scale inside complex enterprise environments. That mindset carries beyond software. It’s about: • Thinking in systems, not moments • Measuring impact over time • Taking responsibility for outcomes. Not just outputs We’re glad to be part of a broader group of companies contributing to global reforestation efforts ahead of Earth Day. For those interested, here’s the broader initiative: https://www.evertreen.com/ #EnterpriseAI #ArtificialIntelligence #ResponsibleAI #SystemsThinking #Sustainability #ClimateAction