Agentic AI is beginning to change how customer service and support operate. It does not replace existing systems or roles but introduces an orchestration layer that can interpret context, take bounded action, and adjust its behaviour in real time. Its importance lies in what it exposes about the realities of service operations. Many organisations have built layers of automation on top of fragmented processes, and agentic capabilities now make those compromises more visible and sometimes more difficult to maintain.
The growing relevance of agentic AI reflects several converging pressures. Customers expect faster and more coherent service. Organisations have expanded across regions and regulations, turning service operations into integration hubs for legacy systems that were never intended to work together. At the same time, advances in large language models, increased availability of operational data, and the shift toward configurable platforms allow software to take on tasks that once relied on tacit human judgement. This does not create fully autonomous systems, but it does enable customer service to act with delegated intent within controlled limits.
Early deployments show tangible benefits. When implemented with care, agentic AI reduces decision latency, decreases variability, and increases the likelihood that issues are resolved in a single interaction. Organisations report lower error rates, better policy adherence, and improved capacity without matching increases in headcount. However, these benefits depend heavily on process clarity, data quality, and governance. The technology amplifies strengths and weaknesses rather than resolving them.
Agentic AI also shifts roles. Routine workload for frontline teams decreases, while managers take on greater oversight and refinement duties. Technology teams must manage access, security, and compliance. Treating agentic AI as a simple tool leads to fragile outcomes. Value often emerges through improved resilience and released capacity rather than narrow efficiency gains. Organisations that focus only on rapid returns tend to stall, while those that invest in long term capability make steadier progress.
Recommended advisory: PAC Leadership Session – The Journey Towards Agentic AI
SHARE :
PAC's Deal Tracker for Belgium covers Software and IT services deals.
Event Date : March 05, 2026
TCS US vendor profile: footprint and strategy with a strong onshore presence; focus on AI, cloud and industry solutions; recent Salesforce ...
Event Date : March 16, 2026
Sage Vendor Profile Worldwide: Platform-led transformation focused on SMBs, cloud-native AI solutions, partner ecosystem, vertical expertise, and ...
Event Date : March 26, 2026
This Excel document positions and ranks the major software vendors and IT services providers by revenue.
Event Date : December 12, 2025
Netcompany vendor profile — Worldwide 2026: strategic overview and key findings. Mid‑size European IT services and platforms group with ...
Event Date : March 18, 2026
Expert View: Creating Cohesive Omnichannel Experiences Using Agentic AI
Market Reports April 01, 2026
Cybersecurity - Capgemini - Vendor Profile - Worldwide
Vendor Profile March 31, 2026 NEW 
Atos - Figures - Netherlands – FY 31-Dec-2025
Datamart March 31, 2026 NEW
Infosys - Figures - UK - FY 31-Mar-2025
Datamart March 31, 2026 NEW
Vendor Profile March 31, 2026 NEW
Atos: Cause for Optimism, Despite the Headlines
Blog Post February 05, 2024
Blog Post March 27, 2026
NTT DATA’s Horizons Innovation Summit 2026 Explores AI Opportunities
Blog Post March 27, 2026
Part 10: The Future of IAM – Decentralized Identity, AI, and What’s Coming Next
Blog Post March 26, 2026
Part 9: IAM and Compliance – Turning Control into Confidence
Blog Post March 24, 2026
Blog Post March 18, 2026
