Agentic AI: platform strategies for scaling deployments
Telecoms operators are experimenting with agentic AI across business and operational workflows, but most deployments remain at the proof of concept (PoC) or pilot stage due to skill shortages, fragmented data environments and immature governance practices. As agentic AI platforms are launched in the market, operators must adopt the right platform strategies to safely and effectively scale these systems into production.
This report:
- defines the core challenges telecoms operators will face when moving agentic AI deployments from PoCs or pilots to production
- highlights three key solutions that operators should consider as they develop their agentic AI platform strategies
- gives actionable recommendations for operators and vendors to accelerate agentic AI adoption while reducing operational, ethical and regulatory risks.
USD2199
Log in to check if this content is included in your content subscription.
Author
Adaora Okeleke
Principal Analyst, expert in AI and data managementRelated items
Article
OpenAI’s acquisition strategy reshapes the enterprise AI professional services market
Article
Monetisation of the AI value chain must reflect both the benefits of AI and the underlying cost structures
Company profile
Google Cloud: AI platforms
