Technology, Media, and Telecom
Agentic AI for TMT Organizations
Systems that plan work, take actions across tools, and coordinate end-to-end workflows to improve service, reduce operational load, and move faster
What This Looks Like in TMT
TMT organizations run high-volume processes where small improvements compound: customer care, network operations, content workflows, and internal support. In telecom, agentic systems are increasingly discussed for tasks like assisting customer interactions and supporting network troubleshooting and operations.
Where Teams Start
- Customer Care Agents
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Handle multi-step troubleshooting, complete routine service changes, and pass clean context to a human when escalation is needed
- Network Operations
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Help identify anomalies, support root-cause analysis, and accelerate incident response workflows
- Fraud & Account Protection
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Flag suspicious activity and trigger verification steps or case creation automatically
- Field Service Copilots
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Reduce time-to-resolution by pulling the right account, device, and network context into one workflow
Common Engagement Shapes
- Use-case and ROI sprint:
- Align on 3–5 workflows worth automating first, define success metrics, and pick a pilot that can ship quickly.
- Build and integration:
- Design the agent workflow and connect it to the systems that matter (CRM/BSS/OSS, knowledge bases, ticketing, and internal tools).
- Production readiness:
- Evaluation, guardrails, monitoring, and human-in-the-loop paths so pilots don't stall at "demo quality."
- Enablement:
- Rollout playbooks, team training, and lightweight governance so the capability sticks after launch.
Training Options
Workshops can be tailored for leaders, product teams, and engineers—covering agent patterns (tool calling, orchestration), safe deployment practices, and how to measure quality and outcomes.
Hands-on sessions can use real workflows (support triage, incident response, internal ops) so teams leave with working prototypes and clear next steps.