Systems Integrators Adopting the FDE Model with a Focus on Business Outcomes

A professional man with dark hair and a slight smile, wearing a suit jacket over a light blue shirt, standing in front of a blurred glass background.
S. Soh

Summary Bullets:

• Technology vendors are investing in forward deployed engineers to adapt AI solutions to meet customer needs.

• Systems integrators are working alongside their technology partners to help enterprises accelerate their AI adoption and ensure business outcomes are met.

It is widely reported that only a small percentage of firms that have conducted AI pilots are moving them into production. Even fewer enterprises have been able to scale their AI initiatives across multiple business functions. Based on GlobalData’s observations and discussions with enterprises, there has been greater success in AI implementations among large enterprises that have engaged a systems integrator or consulting firm to work alongside their technology partners, including hyperscale cloud providers and AI model companies (e.g., Anthropic and OpenAI).

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Agentic AI May Give IP Voice a New Lease on Life as Legacy Decline Continues

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Gary Barton – Research Director, Enterprise Technology and Services

Summary Bullets:

• While IP voice is less ubiquitous, when it matters it, it really matters

• Agent-to-agent communication adds a new paradigm to IP voice services

Calling IP voice a legacy service is a little unfair, but only a little. Innovation in this arena is still happening as can be seen by BT’s recent launch of its automated UC edge platform designed to help enterprises move numbers between UC platforms automatically. However, a recent and stark counterpoint to this is Lumen’s decision to exit the IP voice market.

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Meta Will Need to Shed its Consumer-centric Image to Gain Ground in Enterprise AI

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R. Bhattacharyya

Summary Bullets:

• Meta will need to shed its consumer-centric image to gain traction in the business market, even if it only targets smaller organizations.

• Convincing organizations that they can trust Meta to secure personal information and corporate intellectual property will take time and effort.

On Monday September 28, 2026, Meta announced plans to enter what is already a crowded enterprise AI market. It will develop Meta Enterprise Platform, a collection of tools and services that will help business customers implement their own AI strategies. Few details were shared other than the platform will incorporate Muse agent, Meta Business Agent, Muse API, Muse Code, and other solutions.

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