Yuma launches Yuma 2.0 with one AI Handbook for every support channel
Yuma unveiled Yuma 2.0 on September 29, 2026, a redesigned customer service platform for ecommerce brands built around one AI-managed Handbook. The system is meant to automate inbound support, outbound outreach and phone calls across every channel, while testing every playbook before it goes live.
Why it matters: - Yuma 2.0 aims to replace fragmented AI support setups with one operating document that governs customer service across every channel. - The approach is designed to reduce drift when policies change and to make AI support easier to maintain as brands update documentation. - The platform now covers both customer support and proactive outreach, which broadens AI automation beyond ticket handling.
What happened: - Yuma, an AI customer service platform for ecommerce brands, announced Yuma 2.0 on September 29, 2026. - The product centers on a single operating document the company calls the Handbook. - The Handbook now runs every customer conversation a brand has, including inbound and outbound interactions in writing and by phone. - Existing customers are being migrated by the Yuma team at no additional cost. - Yuma 2.0 is available today.
The details: - Brands can describe their customer service process in plain language or upload existing standard operating procedures. - Yuma then writes the Handbook, including brand voice pages, playbooks for each customer situation and the procedures behind them. - Every change is drafted by AI, reviewed by a person and applied to the next conversation after publication. - Per-playbook testing replays example situations as simulated conversations before changes are published and after. - Yuma surfaces failures with the page that caused them. - Most tests are written automatically as the Handbook is built. - Outbound playbooks can start conversations from business events such as an order placed, a delivery completed or a checkout abandoned. - Outbound outreach can run over email or SMS with multi-day follow-up sequences that Yuma schedules automatically. - Voice support lets Yuma answer a brand’s phone line, take actions in connected systems during the call and follow the same Handbook used for written channels. - The Handbook is managed through Ask Yuma in the Yuma dashboard or directly from Claude and ChatGPT via MCP. - Brands can roll out any playbook to a chosen percentage of matching conversations, keep the rest in draft for human review and raise the rollout share as results come in. - Yuma 2.0 covers email, live chat, SMS, WhatsApp, contact forms, reviews, Instagram direct messages, Facebook direct messages, outbound email, outbound SMS and phone calls. - Sales AI, Yuma’s pre-purchase product for Shopify storefronts, runs on the same Handbook and is available as an add-on. - One Handbook covers all stores in an account, with pages scoped to a store, channel or customer language where needed. - Yuma is SOC 2 Type II certified.
Between the lines: - Yuma is positioning documentation, not workflow builders or intent trees, as the control layer for AI customer service. - The testing and gradual rollout tools suggest the company is trying to address a common enterprise concern: letting AI change live behavior without losing oversight. - The move to one Handbook across support and sales points to a broader push to make customer operations behave like a single system instead of separate channel tools.
What's next: - Yuma will continue migrating existing customers onto Yuma 2.0. - Brands can start using the new platform immediately and expand playbook rollout as performance data comes in. - The company is likely to use the Handbook model as the foundation for future support and sales automation features.
The bottom line: - Yuma 2.0 turns customer service automation into a single, tested operating document that can run support, outreach and voice across every channel.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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