Decision Intelligence
Unified dashboards and decision frameworks that give leadership real-time visibility across operations.
TELOM AI builds AI Operational Systems that replace manual coordination and decision chaos with stable, self-running business workflows.
Companies typically achieve within the first 90 days: 30-60% reduction in manual operational workload; 20-40% faster decision execution cycles; full visibility across critical workflows; predictable, scalable operational processes.
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Built on 30+ years of entrepreneurial and operational leadership — Former Instructor, University of the Aegean · Advisory Board Member, R-map Project (Horizon Europe).
TELOM AI designs and implements Human-AI Operational Systems for founder-led and mid-sized companies (typically 5-50 employees, €500K-€5M+ revenue). We architect the operational layer where human decision-making and AI work as a unified system, enabling organizational resilience, intelligent coordination, and measurable stability.
Founded by Dimitris Tselios, a business strategist and entrepreneur with 30+ years of experience in operations, transformation, and international business. Former Instructor at the University of the Aegean and Advisory Board Member of the R-map Project (Horizon Europe).
Organizations adopt AI tools in isolation — a chatbot here, an automation there. The result is fragmentation, not transformation. Without deliberate architecture, AI creates new operational risks: inconsistent outputs, ungoverned processes, and leadership blind spots that compound over time. The gap is not technology — it is the absence of systems thinking applied to AI implementation.
Unified dashboards and decision frameworks that give leadership real-time visibility across operations.
End-to-end automation of repetitive coordination work so teams focus on judgment, not handoffs.
System design embedding AI into core business workflows as a governed operational layer.
Live KPIs and operational health metrics built for founders and executives.
A focused 60-90 day engagement that moves from operational diagnosis to measurable results — reducing founder dependency and replacing manual coordination with stable, self-running workflows.
Operational audit of workflows, team structure, bottlenecks, and founder involvement. Deliverable: TELOM Scorecard.
Architecture of the Human-AI Operational System: AI workflows, SOPs, team responsibilities, decision frameworks. Deliverable: Operational Blueprint.
Direct deployment of automation systems, workflows, and team structure inside the business.
KPI tracking, system refinement, and full operational handover. Deliverable: Founder Independence System — documented, repeatable, scalable.
Professional services, financial services, logistics and supply chain, and tech-enabled mid-sized companies. Primary ICP: founder-led organizations between 5 and 50 employees with €500K-€5M+ in annual revenue.
Integrated architectures where human decision-making and AI operate as a unified layer within enterprise workflows, enabling organizational resilience, intelligent coordination, and measurable stability.
Traditional AI tools are adopted in isolation. Human-AI Operational Systems embed AI into the operational architecture itself so expertise and machine intelligence work as one coordinated layer.
A 60-90 day engagement that diagnoses operational bottlenecks, designs a Human-AI coordination layer, implements stable workflows, and finalizes governance — with KPIs tracked from day one.
Dimitris Tselios — business strategist and entrepreneur with 30+ years of experience, Former Instructor at the University of the Aegean, Advisory Board Member of the R-map Project (Horizon Europe).
Reach the team at contact@telom.ai or request a Strategic Pilot. Project brief: submit a brief.