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Level AI has launched an operator‑led CX Advisory Board to shape enterprise AI in contact centers, creating a rare forum where senior technology and customer‑experience executives can define governance, ROI measurement, and autonomous‑resolution standards for AI‑driven CX.
A new forum for the people who actually run AI in contact centers
The announcement comes as Level AI, a customer‑intelligence platform that stitches together speech analytics, real‑time transcription, and generative‑AI assistants, formalizes a CX Advisory Board chaired by Mahesh Sogal, former VP of Technology Transformation at Delta Air Lines. The board will convene a small cohort of senior leaders from telecom, finance, healthcare, travel and other sectors that manage large‑scale contact‑center operations. Meetings are planned on a quarterly cadence, with each session focused on shared frameworks for AI governance, ROI measurement, autonomous resolution, and cross‑functional deployment.
The board’s charter is explicitly operator‑centric. “Enterprise AI in the contact center should be shaped by the operators accountable for outcomes—not just vendors and analysts,” Sogal said in the launch briefing. By giving practitioners a voice, Level AI hopes to surface the “signal” that distinguishes successful deployments from the “noise” of vendor hype.
Why AI governance matters now
Contact‑center AI has moved from pilot projects to production at a breakneck pace. Gartner predicts that by 2027, 30 percent of all customer interactions will be handled by AI, up from just 12 percent in 2023. Yet the rapid rollout has outpaced the development of robust governance frameworks. A recent Forrester survey found that 60 percent of CX leaders consider AI governance a top‑risk area, citing model drift, bias, and compliance gaps as primary concerns.
Level AI’s board is designed to address those gaps. By convening operators who must answer to regulators, auditors, and customers, the group can codify best practices for data privacy, model explainability, and performance monitoring. The board will also produce guidance on measuring AI’s contribution to key metrics such as average handle time (AHT), first‑call resolution (FCR), and net promoter score (NPS).
How Level AI’s approach differs from vendor‑centric roadmaps
Most AI‑in‑contact‑center initiatives are driven by platform providers—Google Contact Center AI, Amazon Connect’s AI integrations, Microsoft Dynamics 365 Customer Service AI, Salesforce Service Cloud Einstein, and Adobe Experience Platform’s AI modules. While these ecosystems offer powerful toolkits, they often bundle governance recommendations into product documentation rather than collaborative industry standards.
Level AI’s model flips that script. Instead of dictating a one‑size‑fits‑all playbook, the CX Advisory Board will act as a peer‑review body that can critique, validate, or reject vendor roadmaps based on real‑world operational data. This operator‑first stance mirrors the emerging “AI Ethics Boards” seen at Google and Microsoft, but applies them specifically to the contact‑center value chain, where latency, compliance, and human‑agent handoff are mission‑critical.
Competitive landscape and similar initiatives
A handful of industry groups are attempting to fill the governance void. The Contact Center AI Consortium, launched by a coalition of service‑provider firms, focuses on data‑exchange standards. Meanwhile, the Enterprise AI Governance Forum—backed by IBM and Accenture—targets cross‑industry policy. Level AI’s board differentiates itself by being exclusively operator‑led and product‑agnostic, allowing members to discuss any vendor solution, including those from Google, Amazon, Microsoft, Salesforce, and Adobe, without conflict of interest.
Implications for enterprise marketing organizations and CX teams
For marketing organizations that rely on seamless, AI‑enhanced customer journeys, the board’s work could translate into more predictable outcomes. A unified governance framework reduces the risk of model failures that can derail personalized campaigns, while standardized ROI metrics make it easier to justify AI spend to CFOs. Moreover, the board’s focus on autonomous resolution—where AI can close simple tickets without human intervention—opens the door for marketers to leverage real‑time intent signals for cross‑sell and up‑sell offers, tightening the loop between service and revenue.
Looking ahead: standards, ROI, and the role of AI agents
Level AI plans to expand the board to six members by the end of the year, adding voices from other Fortune 500 enterprises. The group will publish whitepapers, benchmark data, and open‑source templates that could become de‑facto industry standards. If the board’s recommendations gain traction, we may see a shift from isolated AI pilots to enterprise‑wide AI operating models that integrate generative‑AI agents, large language models, and real‑time analytics across the customer lifecycle.
In a market where IDC estimates AI‑enabled contact‑center software will exceed $12 billion in annual spend by 2028, the success of Level AI’s CX Advisory Board could influence a sizable slice of that budget. Companies that adopt the board’s governance playbook early may achieve faster time‑to‑value, lower compliance risk, and stronger alignment between AI outcomes and brand promise.
Answer‑engine ready summary
- What: Level AI has created a CX Advisory Board, an operator‑led group that will define AI governance, ROI measurement, and autonomous‑resolution standards for contact‑center AI.
- What it does: The board convenes senior technology and CX leaders quarterly to share best practices, critique vendor roadmaps, and produce industry‑wide guidance.
- Why it matters: With AI handling up to 30 % of interactions by 2027, governance gaps pose compliance and performance risks; the board aims to close those gaps.
- Who benefits: Enterprise contact‑center operators, CX teams, and marketing organizations that depend on reliable AI‑driven customer interactions.
Market Landscape
The contact‑center AI market is consolidating around three pillars: speech‑to‑text and sentiment analysis, generative‑AI assistants, and AI‑driven workflow automation. Vendors such as Google, Amazon, Microsoft, Salesforce, and Adobe dominate the platform layer, while niche players like Level AI focus on analytics and orchestration. Governance, however, remains fragmented. IDC’s 2024 report notes that only 22 % of contact‑center leaders have formal AI governance policies, a gap that Level AI’s board directly addresses.
Regulatory pressure is mounting as GDPR‑like rules spread globally, and the U.S. Federal Trade Commission signals increased scrutiny of AI‑driven consumer interactions. In this environment, an operator‑led consortium can provide the pragmatic, compliance‑first guidance that regulators favor.
The board’s emphasis on ROI measurement also aligns with Forrester’s finding that 57 % of CX leaders struggle to tie AI initiatives to financial outcomes. By standardizing metrics such as cost‑per‑interaction saved and revenue uplift from AI‑enabled upsell, the board could become a reference point for CFOs evaluating AI spend.
Top Insights
- Operator‑first governance: The CX Advisory Board gives the people who run AI in contact centers the authority to set standards, reducing reliance on vendor‑driven roadmaps.
- Quarterly peer review: Regular meetings create a living knowledge base that can evolve with model drift, regulatory changes, and emerging use cases.
- Cross‑vendor relevance: By staying product‑agnostic, the board’s recommendations apply to AI solutions from Google, Amazon, Microsoft, Salesforce, Adobe, and niche platforms alike.
- Marketing impact: Standardized AI metrics enable marketers to align service data with campaign performance, unlocking real‑time personalization at scale.
- Industry‑wide ripple: If the board’s frameworks gain adoption, they could become the de‑facto benchmark for AI governance in contact centers, influencing procurement and compliance across the sector.
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