Sendbird Inc. announced today the launch of Agent Steward, a new AI‑agent platform that bundles Trust OS 2.0 and Voice 2.0 on the Delight.ai stack. The San Francisco‑based company says the suite gives enterprises end‑to‑end ownership of complex, multi‑step customer issues while letting AI self‑correct in real time.
From Reactive Bots to Autonomous Agents
For years, AI‑driven chat and voice assistants have excelled at handling scripted, low‑complexity queries. When a problem spirals beyond a single turn—think a damaged shipment that requires coordination across logistics, finance and support—most solutions fall back on human agents, creating hand‑off delays and fragmented experiences. Sendbird’s Agent Steward is built to stay in the loop from the first customer touch through final resolution, orchestrating sub‑agents, APIs and human escalation without losing context.
Core Capabilities
Agent Steward’s architecture rests on three pillars. First, Zero‑Touch Improvement—a Trust OS 2.0 feature that continuously monitors model outputs, flags anomalies and automatically retrains or rewrites rules without manual intervention. Second, Voice 2.0, which extends proactive outbound outreach to more than 100 languages, allowing enterprises to notify travelers of flight disruptions or send payment reminders before a missed deadline. Third, a human‑in‑the‑loop layer that surfaces only the most judgment‑heavy cases to supervisors, preserving the efficiency of automation while safeguarding quality.
Why It Matters
A recent Sendbird survey found that 57 % of consumers would trust an AI more if it could correct its own mistakes, and 59 % consider the ability to override an AI decision “very important.” Gartner predicts that by 2027, 70 % of customer service interactions will be managed by AI, yet only 30 % of those will achieve true end‑to‑end resolution. Agent Steward directly addresses that gap by turning AI from a reactive responder into an autonomous steward.
Industry Comparison
Competing platforms such as Google Dialogflow, Microsoft Azure Bot Service and IBM Watson Assistant provide strong NLU and integration capabilities but still rely on manual rule updates and human hand‑offs for complex cases. Amazon Lex offers multi‑modal support but lacks a built‑in self‑healing loop. Agent Steward’s Trust OS 2.0 differentiates itself by embedding a continuous improvement engine that rewrites its own decision trees, a feature currently absent from the major cloud‑native bot services.
Implications for Enterprise Marketing
Marketing teams that depend on AI for lead qualification, campaign follow‑up and real‑time personalization can now extend those workflows into post‑sale support without rebuilding pipelines. For example, a B2B SaaS firm could let Agent Steward detect a churn‑risk signal during a support ticket, automatically trigger a targeted retention email, and log the interaction for analytics—all without a marketer’s manual trigger. The result is a tighter feedback loop between acquisition, activation and retention metrics.
Use‑Case Spotlight
Consider a consumer who orders a high‑value TV that arrives cracked. Traditional support would open a ticket, route it through three agents, and possibly issue a chargeback after days of back‑and‑forth. With Agent Steward, the AI identifies the damage via image analysis, contacts the logistics provider via API, sends a real‑time SMS update to the customer, and escalates only the final approval to a human supervisor. The issue resolves in hours, saving the retailer thousands in processing costs and preserving brand goodwill.
Launch and Availability
Agent Steward, together with Trust OS 2.0 and Voice 2.0, is now generally available on the Delight.ai platform. The first rollout will be showcased at Sendbird’s flagship event, Delight Spark, where early adopters will demo cross‑channel coordination between chat, SMS, email and voice.
Market Landscape
The AI‑agent market is consolidating around three trends:
- hyper‑automation, where RPA meets conversational AI;
- self‑learning models that reduce the need for data‑science intervention;
- omnichannel orchestration that unifies voice, chat, email and push notifications.
IDC forecasts that worldwide spending on AI‑enabled automation will reach $215 billion by 2028, driven largely by enterprises seeking to cut support costs while improving NPS scores. Sendbird’s move positions it alongside platform players like Salesforce Service Cloud Einstein and Adobe Experience Platform, but with a sharper focus on autonomous correction—a capability that could become a new benchmark for service‑level agreements (SLAs) in the next two years.
Top Insights
- Zero‑Touch Improvement gives AI the ability to self‑heal, cutting model‑update cycles from weeks to minutes.
- Voice 2.0’s multilingual outbound capability reduces the need for separate IVR vendors, consolidating voice and chat under one stack.
- End‑to‑end ownership lowers average handling time (AHT) by up to 40 % in pilot deployments, according to Sendbird’s internal metrics.
- Enterprise marketers gain a closed‑loop for post‑sale engagement, turning support interactions into actionable retention data.
- Competitive edge: Unlike Google Dialogflow or Azure Bot Service, Agent Steward embeds autonomous governance, a differentiator for regulated industries.
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