We make industrial operations work with AI. Make telecom operations work.
Asseblia works with telecoms, energy, and technology companies to identify, design, and deploy AI-driven process automation — from the first use case to enterprise-wide adoption. We don’t just advise. We build, deploy, and stay until it runs.
See how it works View target outcomesof AI initiatives were discontinued in 2025 — most failed to connect pilots to operational workflows.
Source: S&P Global Market Intelligence, 2025industry verticals where we hold deep operational experience.
Telecom · Energy · Digital · Mediayears operating across EMEA and beyond, from Athens to the Gulf.
Since 2013partner-owned and independent. No vendor commissions, no software to sell you.
Advice without conflictsFour industries. One methodology. Measurable results.
Pick your vertical. Every engagement starts from the operational outcomes that matter in your world — not from a technology looking for a problem.
Tickets, deflected.
Field crews, routed.
Network operations generate the richest process data in any industry — and most of it goes unused. We deploy AI on fault prediction, ticket triage, and workforce dispatch where payback is measured in months, not years.
- Predictive maintenance on access & core network
- NOC ticket classification and auto-resolution
- Churn-driver analysis tied to network QoE

Downtime, prevented.
Assets, optimized.
Wind and solar portfolios live or die on availability. We build forecasting and anomaly-detection pipelines that plug directly into your SCADA and CMMS — so insight becomes a work order, not a dashboard.
- Production forecasting for trading & balancing
- Turbine / inverter anomaly detection
- O&M scheduling optimization

Documents, understood.
Decisions, accelerated.
For technology and services companies, we take the processes everyone complains about — onboarding, invoicing, compliance checks — and rebuild them around AI agents with humans on the exceptions.
- Document intelligence for contracts & invoices
- Agent-assisted customer onboarding
- Process mining to find the next use case

Rights, tracked.
Audiences, understood.
Media companies sit on decades of unstructured content. We make it addressable — metadata enrichment, rights management, and audience analytics that feed programming and licensing decisions.
- AI metadata & archive enrichment
- Rights and royalties process automation
- Content performance analytics

From first use case to running production system.
A structured four-phase engagement with clear deliverables at every step. Everything starts and finishes with what will make the biggest operational impact.
Discover
Process and data audit across your operation. We rank AI use cases by value, feasibility, and time-to-impact.
2–3 weeksDesign
Solution architecture, data pipelines, and workflow integration blueprint — with your team, not around them.
3–4 weeksDeploy
Build and ship the first production use case. Working software in your environment, measured against agreed KPIs.
8–12 weeksScale
Handover, capability building, and the roadmap to the next use cases. We stay until your team runs it without us.
OngoingClarity of purpose
Every engagement is anchored to one operational metric that matters to your P&L — before any technology is chosen.
Insight to capability
We don’t leave slideware. We leave running systems and a team trained to operate and extend them.
Human + machine
AI handles the volume; your people handle the judgment. We design the boundary deliberately, case by case.
Target outcomes by vertical.
Mean time to repair
Predictive fault detection and automated ticket routing on access networks.
Portfolio availability
Anomaly detection and O&M optimization across wind and solar assets.
Manual document handling
Document intelligence with human-in-the-loop exception workflows.
Archive retrieval speed
AI metadata enrichment making decades of content instantly addressable.
Figures represent target outcomes for well-executed deployments in each vertical, based on published industry benchmarks — not guarantees. Ask us for the benchmark sources on a call.
We publish what we learn in the field.
No ghostwritten thought leadership. Field notes, benchmarks, and playbooks from live AI deployments in our four verticals.
Agentic AI in enterprise workflows: what actually works in 2026
Agents that book flights make good demos. Agents that process invoices and update your ERP without human intervention make good business cases. What enterprise agentic AI actually looks like this year.
Document intelligence in practice: automating the back office without breaking it
How production document pipelines work — and where the human belongs in the loop.
Read →Making the archive addressable: AI metadata enrichment for media companies
Turning dormant archives into a searchable, monetizable asset — and where the value shows up first.
Read →How telecoms operators are cutting churn with AI-driven early warning systems
AI churn prediction is reducing attrition at operators by 30% or more. How it works, and what implementation takes.
Read →Partner-led.
No hand-offs.
The partner you meet on the first call is the person accountable for your deployment on the last day. No leverage pyramid, no junior teams learning on your budget.
We are engineers and operators first — people who have run networks, plants, and platforms — and consultants second.

Industry verticals
Years across EMEA & beyond
Partner-owned
…and the beginning of your first AI automation use case.
Book a 45-minute discovery call. We’ll bring a shortlist of use cases relevant to your vertical — you bring the process that annoys you the most.
Book a discovery call
Pick a slot that suits you — 45 minutes, video call, no commitment.
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