Agentic AI: platform strategies for scaling deployments

15 May 2026 | Research and Insights

Adaora Okeleke

Strategy report | PPTX and PDF | AI and Data Platforms


"Telecoms operators that fail to address their AI talent shortages, data fragmentation and inconsistent agent management risk undermining the effectiveness and value of their agentic AI initiatives."

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

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Author

Adaora Okeleke

Principal Analyst, expert in AI and data management