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Smart Communications Expands AI Migration Tool for Legacy Systems

Smart Communications has broadened its AI-powered migration offering to help enterprises retire legacy communication systems faster and cheaper, targeting migration cost and complexity as the real bottleneck to enterprise AI adoption.

阿联酋迪拜18 October 2026已读2分钟
What happened

Smart Communications has expanded its AI-powered migration offering, a move aimed at helping enterprises retire legacy communications systems and adopt artificial intelligence more quickly. The expansion positions the company's tooling as a bridge between older, often rigid customer communication infrastructure and newer AI-driven platforms.

The update focuses on reducing the cost and complexity enterprises typically face when moving away from legacy systems, a process that has historically been slow, resource-intensive and risky for large organizations managing customer-facing documents and communications at scale.

Why it matters

Legacy modernization is one of the biggest blockers to enterprise AI adoption. Many organizations want to deploy AI across customer communications, service workflows and document generation, but remain tethered to decades-old systems that are expensive to maintain and difficult to extract data from. A migration pathway that specifically targets this bottleneck changes the calculus for how quickly large enterprises can move from legacy infrastructure to AI-enabled operations.

For digital transformation leaders, this matters because migration cost and risk — not AI capability itself — is often the real constraint on adoption timelines. Tooling that lowers that barrier effectively compresses the distance between "wanting AI" and "running AI in production."

The René take

Every enterprise AI strategy eventually collides with the same unglamorous problem: the old system nobody wants to touch. Migration tooling gets far less attention than flashy AI launches, but it is often the actual gating factor for transformation timelines.

The real story here isn't the AI — it's the admission that AI ambition has outpaced legacy reality for most enterprises. Service and experience leaders should treat migration readiness as a core transformation metric, not a back-office IT concern, because every quarter spent untangling old systems is a quarter customers keep experiencing the old, brittle version of the business. The operators who win won't be the ones with the best AI model; they'll be the ones who quietly solved the unsexy migration problem first.

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