Network automation & autonomous operations
The maturity models and adoption data behind our Network Automation practice: how operators move from manual NOCs to self-driving, agentic networks.
Autonomous Networks: the Levels 0–5 maturity framework
The industry-standard 0–5 scale for network autonomy. Recent validation shows leading operators crossing into Level 4 in specific domains, propelled by the shift from rule-based automation to agentic AI: the trajectory our DeltaLake-powered network work is built around.
Read the report →Telco AI: State of the Market
A quarterly tracker of operator AI deployments. Notably, only a small share of telco generative-AI projects touch network operations: the exact gap Forteneon helps operators close.
Read the report →Accelerating Autonomous Networks: A Reality Check for Telcos
A candid look at why autonomy stalls (technical debt, data quality and organisational silos) and the execution discipline needed to scale beyond pilots.
Read the report →Navigating autonomous networks
A strategy view of the operator transition to autonomous operations and the data foundations it depends on.
Read the report →Open Gateway & the network API economy
The standards and commercial momentum behind our Open Gateway API monetisation work.
From Ambition to Execution: How Open Gateway Is Scaling the Global API Economy
86 operator groups, 300+ networks and ~80% of global mobile connections now align around a common API framework, with 20 CAMARA APIs live across 65 markets: the backdrop for new operator revenue streams.
Read the report →Stable network APIs meta-release
The open-source standard underpinning Open Gateway. Interoperable, “write once, deploy everywhere” network APIs are what make cross-operator monetisation practical.
Read the report →Telecom fraud & real-time prevention
The scale of the problem our AI-powered Fraud Detection systems are designed to contain.
5G & the network data explosion
The traffic curve that makes real-time, AI-ready data pipelines a necessity rather than a nice-to-have.
Building the data-driven enterprise
The frameworks behind our data modernisation programmes: treating data as a product, embedded in every decision.
The data-driven enterprise of 2025
The seven characteristics framework (real-time data, data-as-a-product, and data embedded in every decision) that maps closely to how we sequence transformation engagements.
Read the report →Charting a path to the data- and AI-driven enterprise of 2030
The forward-looking successor, on fusing data and AI architecture into a single operating model.
Read the report →Enterprise AI adoption benchmarks
Independent baselines for where AI delivers measurable value, and why workflow redesign, not the model, is the differentiator.
The State of AI in 2025
88% of organisations use AI somewhere, yet only ~39% report enterprise-level EBIT impact. The gap is execution: exactly the orchestration problem Forteneon is built to solve.
Read the report →AI Index Report 2025
The most-cited independent AI benchmark, spanning capability, investment, adoption and responsible-AI trends: our go-to source for neutral, defensible figures.
Read the report →2025 TMT Predictions
Generative AI across technology, media and telecom: useful context on the “prove-the-value” phase enterprises are now in.
Read the report →AI governance, security & compliance
The standards we build into solutions from day one, not bolted on afterward.
AI Risk Management Framework (AI RMF 1.0)
The reference standard for trustworthy AI: Govern, Map, Measure, Manage. We align governance deliverables to its functions so compliance is auditable.
Read the report →Future of Jobs Report 2025
Macro evidence that AI/big data and cybersecurity are the fastest-growing skill demands: the workforce backdrop to any responsible transformation programme.
Read the report →Links point to primary sources published by their respective organisations; Forteneon is not affiliated with them and the commentary is our own. Reports are refreshed as new editions are released.