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CALL to Authenticity
To Know
-
Closing the gap
Strategy in Motion
CALL to Authenticity
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Jul 2026
Not a forecast. Not a trends slide. This is what is happening.
Security now ranks first, and AI embedded in service delivery second, among the attributes enterprises seek in ICT vendors. At the same time, 43% plan to consolidate vendors in the next 12 months, and 63% say the support they receive falls below expectations.
What gets us on a shortlist has changed.
Telcos are undergoing a non-incremental transformation, where speed and execution increasingly matter as much as scale.
52% of telco leaders have AI as a top-three priority for 2026. Only 4% have reached Level 4 autonomous network status, yet 85% aim to be there by 2030. The hard part is not the model alone. It is turning data, integration, architecture, skills and governance into operational change, and finding partners able to deliver that transformation, not just the tool.
Agentic AI is moving beyond pilots into operational use. Deutsche Telekom’s RAN Guardian triggered more than 100 autonomous remediation actions in its first month, reducing major-event management from hours to around a minute. Entel Connects Agent2Sales processes more than 600,000 inbound calls a month and contributed to a 40% increase in inbound service sales in ten weeks.
These examples illustrate the direction in which the industry is moving.
Making Data Actionable is what we deliver. Next-Gen Intelligence is how: by turning data into end-to-end workflows that understand context, trigger action and improve over time, with people setting direction, applying judgement and deciding where value lies.
Driven by authenticity, we asked across Celfocus three open questions, with no suggested answers.
Three questions, different views, one pattern. The gap is not only technological. It sits in fragmented data, manual hand-offs, limited capacity, unclear ownership and proof points that never travel beyond one team. Technology enables the shift; redesigned ways of working make it real.
And it is a gap we are building on both sides. Outside, operators are pursuing greater autonomy while still navigating data, integration, skills and governance challenges. Inside, proof points that stay local, capacity stretched across delivery, and teams too busy to stop and ask whether the way they work still makes sense.
If you lead: the conditions don't create bythemselves. Time, budget, and permission to experiment are decisions. And right now, they are the most strategic ones you can make.
If you deliver: make it tangible. Connect your work to Next-Gen Intelligence, but go one step further: identify one recurring workflow, challenge the hand-offs and ask where data could trigger action instead of creating another report.
If you support: the foundations matter more than anyone says out loud. Trusted data, process consistency, reusable knowledge and clear governance, those are the infrastructure this shift runs on.
The gap will not close because more people use AI. It will close when better ways of working become the default.
We know what the market is asking for. The only question left is whether we answer it together or project by project.
This article is brought to you by the Delivery & Agility Hub.
Not a forecast. Not a trends slide. This is what is happening.
Security now ranks first, and AI embedded in service delivery second, among the attributes enterprises seek in ICT vendors. At the same time, 43% plan to consolidate vendors in the next 12 months, and 63% say the support they receive falls below expectations.
What gets us on a shortlist has changed.
Telcos are undergoing a non-incremental transformation, where speed and execution increasingly matter as much as scale.
52% of telco leaders have AI as a top-three priority for 2026. Only 4% have reached Level 4 autonomous network status, yet 85% aim to be there by 2030. The hard part is not the model alone. It is turning data, integration, architecture, skills and governance into operational change, and finding partners able to deliver that transformation, not just the tool.
Agentic AI is moving beyond pilots into operational use. Deutsche Telekom’s RAN Guardian triggered more than 100 autonomous remediation actions in its first month, reducing major-event management from hours to around a minute. Entel Connects Agent2Sales processes more than 600,000 inbound calls a month and contributed to a 40% increase in inbound service sales in ten weeks.
These examples illustrate the direction in which the industry is moving.
Making Data Actionable is what we deliver. Next-Gen Intelligence is how: by turning data into end-to-end workflows that understand context, trigger action and improve over time, with people setting direction, applying judgement and deciding where value lies.
Driven by authenticity, we asked across Celfocus three open questions, with no suggested answers.
Three questions, different views, one pattern. The gap is not only technological. It sits in fragmented data, manual hand-offs, limited capacity, unclear ownership and proof points that never travel beyond one team. Technology enables the shift; redesigned ways of working make it real.
And it is a gap we are building on both sides. Outside, operators are pursuing greater autonomy while still navigating data, integration, skills and governance challenges. Inside, proof points that stay local, capacity stretched across delivery, and teams too busy to stop and ask whether the way they work still makes sense.
If you lead: the conditions don't create bythemselves. Time, budget, and permission to experiment are decisions. And right now, they are the most strategic ones you can make.
If you deliver: make it tangible. Connect your work to Next-Gen Intelligence, but go one step further: identify one recurring workflow, challenge the hand-offs and ask where data could trigger action instead of creating another report.
If you support: the foundations matter more than anyone says out loud. Trusted data, process consistency, reusable knowledge and clear governance, those are the infrastructure this shift runs on.
The gap will not close because more people use AI. It will close when better ways of working become the default.
We know what the market is asking for. The only question left is whether we answer it together or project by project.
This article is brought to you by the Delivery & Agility Hub.
Not a forecast. Not a trends slide. This is what is happening.
Security now ranks first, and AI embedded in service delivery second, among the attributes enterprises seek in ICT vendors. At the same time, 43% plan to consolidate vendors in the next 12 months, and 63% say the support they receive falls below expectations.
What gets us on a shortlist has changed.
Telcos are undergoing a non-incremental transformation, where speed and execution increasingly matter as much as scale.
52% of telco leaders have AI as a top-three priority for 2026. Only 4% have reached Level 4 autonomous network status, yet 85% aim to be there by 2030. The hard part is not the model alone. It is turning data, integration, architecture, skills and governance into operational change, and finding partners able to deliver that transformation, not just the tool.
Agentic AI is moving beyond pilots into operational use. Deutsche Telekom’s RAN Guardian triggered more than 100 autonomous remediation actions in its first month, reducing major-event management from hours to around a minute. Entel Connects Agent2Sales processes more than 600,000 inbound calls a month and contributed to a 40% increase in inbound service sales in ten weeks.
These examples illustrate the direction in which the industry is moving.
Making Data Actionable is what we deliver. Next-Gen Intelligence is how: by turning data into end-to-end workflows that understand context, trigger action and improve over time, with people setting direction, applying judgement and deciding where value lies.
Driven by authenticity, we asked across Celfocus three open questions, with no suggested answers.
Three questions, different views, one pattern. The gap is not only technological. It sits in fragmented data, manual hand-offs, limited capacity, unclear ownership and proof points that never travel beyond one team. Technology enables the shift; redesigned ways of working make it real.
And it is a gap we are building on both sides. Outside, operators are pursuing greater autonomy while still navigating data, integration, skills and governance challenges. Inside, proof points that stay local, capacity stretched across delivery, and teams too busy to stop and ask whether the way they work still makes sense.
If you lead: the conditions don't create bythemselves. Time, budget, and permission to experiment are decisions. And right now, they are the most strategic ones you can make.
If you deliver: make it tangible. Connect your work to Next-Gen Intelligence, but go one step further: identify one recurring workflow, challenge the hand-offs and ask where data could trigger action instead of creating another report.
If you support: the foundations matter more than anyone says out loud. Trusted data, process consistency, reusable knowledge and clear governance, those are the infrastructure this shift runs on.
The gap will not close because more people use AI. It will close when better ways of working become the default.
We know what the market is asking for. The only question left is whether we answer it together or project by project.
This article is brought to you by the Delivery & Agility Hub.
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