Skip to content
Blog

Process Orchestration: Why Telcos Need to Act Now

Artificial Intelligence
  • Agentic AI
  • Artificial Intelligence (AI)
  • Telecommunication Solutions
Tino Dahms

April 7, 2026

Diverse team working together in modern co-working

Share this article

How a structured approach unlocks real business value

40% avoidable operating costs, 50% longer service delivery times, frustrated customers and teams stuck in manual escalation loops – this is the reality for many telecoms companies today. The cause? Not a lack of technology, but systemic fragmentation.

Despite numerous tools, automation initiatives and selective efficiency gains, one decisive lever often remains unused: end-to-end orchestration of business processes across all systems.

This article shows why process orchestration is business-critical today, which structural blockades are slowing down telcos – and how a pragmatic approach can unlock measurable business value.

The problem: when silos are more expensive than the solution

Telcos are at a turning point. Customers expect fast, flawless services – but product landscapes, networks and partner models are becoming increasingly complex. Process chains in fulfillment, assurance, billing and care have been fragmented for years, and the consequences are clearly noticeable:

  • OSS, BSS and CRM silos prevent end-to-end transparency and control
  • Automation remains isolated: RPA, BPM and workflow tools optimize individual steps, not the entire process chain
  • High levels of manual work, escalation loops and media disruptions drive up OPEX
  • Lack of transparency regarding KPIs and bottlenecks prevents data-based control and prioritization
Tino Dahms, valantic
Tino Dahms
Senior Manager Telco at valantic

”You can't successfully automate a bad process. If a process is no longer up to date, AI will only digitize the problem.“

This is exactly where Agentic AI comes in: Based on orchestrated end-to-end transparency, it takes over dynamic prioritization and decision-making in real time. Important for the business context: the AI operates within firmly defined business guardrails. It only makes decisions where it is safe to do so and escalates complex borderline cases immediately to human experts. Instead of just executing workflows, the system actively steers towards defined goals such as SLA, OPEX or customer satisfaction.

The key question is therefore not whether to orchestrate, but when and how consistently.

The solution: Process orchestration as a lever for efficiency, transparency and scaling

Process orchestration is not primarily about technology, but about efficiency, transparency, control and scaling – regardless of the system used. End-to-end orchestration creates a common process logic across all systems, makes workflows measurable and ensures that processes can be actively controlled.

Before automation can scale, there are three basic requirements: clear end-to-end process models, defined business logic across system boundaries and complete transparency regarding KPIs, bottlenecks and performance. This is exactly what an orchestrated process architecture provides.

Measurable value potential: Why orchestration unlocks business value

The results of consistent process orchestration are clearly quantifiable. Experience from valantic projects and industry studies show typical improvements:

Metric Typical Improvement
OPEX reduction Up to 40% through elimination of redundant interface and rework processes
Throughput +50% thanks to consistent end-to-end process chains
Process quality Significant improvement through real-time monitoring and automation governance
Return on investment Less than 12 months for focused pilots
Operating costs Up to 25% lower costs thanks to cloud-native operating models

These figures prove that orchestration makes business value visible, raises it systematically and pays off comparatively quickly.

The valantic approach: from analysis to scalable orchestration

Our projects with European Tier 1 and Tier 2 telcos demonstrate measurable business value along the entire value chain – from fulfillment to assurance and billing. Our goal: to understand where the customer stands and where the journey is heading.

Most telcos today move between isolated automation and partially orchestrated processes – but silos prevent scaling. valantic enables telcos to take the step towards end-to-end orchestration and adaptive automation, where efficiency translates into real economies of scale.

Our structured process model

The result: a scalable, measurable and consistently orchestrated process landscape that increases efficiency, reduces OPEX and delivers real business value along the entire telco value chain.

A look into practice: adaptive automation in action

Theory is good – practice is better. In our video, we show the result of adaptive automation, the highest level of digitalization in our process value journey.

The AI-supported diagnostic system developed by valantic aggregates data from various sources in real time, analyzes it and uses it for automated error diagnosis and correction. Complex processes are analyzed independently, data from several systems is linked together and solutions are derived automatically. This results in more efficient processes, fewer errors and significantly faster decisions.

Ready for the next step?

If you would like to understand what specific OPEX reduction potential and business value lies dormant in your company or a sub-area, we will accompany you from the initial analysis through a non-binding workshop to implementation. Let’s take your process landscape to the next level together – with process orchestration that addresses your specific challenges and creates measurable added value.

Contact us for a no-obligation initial consultation and find out what potential lies in your processes.

Dirk Pöppelbuß

Dirk Pöppelbuß

Director Telecommunications

valantic

+49 1712005550

  • Strategy & Transformation Advisor
  • TelCo & Utilities Expert

More on this topic

leading the planning process

Artificial Intelligence July 22, 2026

Interview: How to get started with Agentic AI?

Agentic AI creates long-term value only when AI applications are seamlessly integrated into processes and equipped with clear control mechanisms. Maria Kern, Digital Experience Architect, explained how an AI workshop can support a structured introduction to AI and help organizations achieve initial success by developing a production-ready AI agent.

Interview: How to get started with Agentic AI?
AI-generated image of a meeting on the Autonomous Enterprise

Artificial Intelligence July 15, 2026

Homework for the Autonomous Enterprise: Architecture, Data, and Processes

SAP Sapphire has refined the vision of the Autonomous Enterprise—now it’s time to put it into practice. Part 2 of our blog series highlights four key building blocks: transparent architecture and agent governance with LeanIX, the path to the cloud, a solid data foundation in the SAP Business Data Cloud, and processes made visible through process mining.

Homework for the Autonomous Enterprise: Architecture, Data, and Processes
Inside the Heavy Industry Factory Female Industrial Engineer Works on Personal Computer She Designs 3D Engine Model, Her Male Colleague Talks with Her and Uses Tablet Computer with SAP Service and Asset Manager

Artificial Intelligence June 25, 2026

AI Potential in Manufacturing: Which Use Cases are already live – and what pays off?

In the manufacturing industry, AI is already one of the most important technologies. Yet there is a significant gap between ambition and productive use with measurable results. Where will AI be worthwhile in the manufacturing industry in 2026, and which use cases are already making its potential tangible today?

AI Potential in Manufacturing: Which Use Cases are already live – and what pays off?

Don't miss a thing.
Subscribe to our latest blog articles.

Register