Stagwell Launches NewVoices.ai: Autonomous Adaptive AI Agents for Enterprise Sales
Stagwell Inc. (NASDAQ: STGW) has launched NewVoices.ai, an enterprise platform built to run sales, customer support, and retention with autonomous AI agents. The promise is simple: always-on, high-quality conversations that move pipeline and reduce cost per conversion.
What makes NewVoices.ai different
- One-to-one intelligence: It behaves like a dedicated rep for each prospect, learning their history, goals, and preferences to guide the conversation.
- 24/7 global coverage: Instant responses in any language, built to remove lag from inbound and follow-ups.
- Adaptive learning: Each interaction improves the next, shaping offers, tone, and timing based on real behavior.
- Enterprise fit: Direct integrations into existing stacks and workflows, plus an operations layer for QA, analytics, and governance.
The platform isn't a basic chatbot. It's positioned as an independent agent that can handle information-dense sales conversations and drive conversions at scale, with a quality bar meant to match human-led workflows.
Where Sales leaders can put this to work right now
- Inbound qualification and routing: Instant discovery, budget/timeline checks, and handoff to the right AE with full context.
- Follow-up and nurturing: Personalized sequences that respond to intent signals instead of fixed cadences.
- Expansion and retention: Proactive cross-sell, renewal nudges, and usage-based offers tailored to the account.
- RFP and info requests: Accurate, on-brand answers sourced from your knowledge base, product docs, and case studies.
- Global support-to-sales handoffs: Smooth transitions from support issues to upgrade conversations where it makes sense.
How it fits into your stack
NewVoices.ai can slot into your CRM, marketing automation, product analytics, and data warehouse. As a managed service, it pairs autonomous agents with automation, analytics, and human oversight to maintain quality across regions and channels.
Stagwell's broader AI push includes partnerships like its work with Google Cloud to use Gemini models. If you're evaluating technical underpinnings, start with an overview of Gemini's capabilities here: Google's Gemini.
KPIs to track from day one
- Speed to first response and meeting set rate
- Qualified pipeline per rep (and per territory)
- Conversion rate by segment and by buying stage
- Cost per SQL and cost per closed-won
- Churn rate and expansion ARR sourced by AI agents
Rollout plan that actually sticks
- Pick one high-impact use case: inbound SDR triage or renewal outreach.
- Feed it the essentials: ICP definitions, objection handling, pricing rules, and legal/compliance boundaries.
- Limit the sandbox: a segment, a product line, or a single geography.
- Set guardrails: approvals for sensitive replies, escalation rules, and human review loops.
- Measure weekly, not monthly: tighten prompts, sources, and routing based on live data.
Risk, control, and compliance
Any autonomous system needs oversight. Use human-in-the-loop for high-risk steps, bind the agent to approved sources, and log every interaction. The operations layer matters as much as the model: QA, analytics, and clear escalation paths keep things accurate and on-brand.
Why this matters for Sales
Most teams bleed revenue between form fill and first touch, between demo and proposal, and between renewal date and outreach. An adaptive agent that never sleeps and learns from context plugs those gaps and scales your best reps' behavior across every account.
If you want to see how Stagwell frames the offering and its enterprise services, start here: Stagwell.
Next step
Stand up a 30-day pilot on a single funnel stage with tight metrics and real revenue targets. If you need structured upskilling for your team while you implement AI into sales workflows, explore curated options here: AI courses by job.
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