Typewise

What is Typewise?

Typewise is an enterprise-grade AI customer service platform designed to help customer teams resolve more tickets and requests by connecting AI agents to the tools and policies already used in day-to-day operations. Its core purpose is to automate customer service, sales, and commerce workflows while keeping control through approvals, auditability, and policy-based governance.

The platform includes a multi-agent orchestration layer that can read from and write to systems such as CRM, ERP, billing, ITSM, commerce, and knowledge tools. It supports omnichannel customer interactions and is designed so teams can start with a first live agent quickly and expand toward more complex, end-to-end resolutions.

Key Features

• Multi-agent orchestration across your stack: An AI supervisor with domain specialists can handle support, sales, and commerce workflows (including returns, billing, quotes, and renewals) and perform actions in operational tools.
• Reads and writes across business systems: Typewise can access information from systems like CRM, ERP fields, billing data, ITSM, logistics/commercial data, and knowledge sources, then execute actions back into those tools.
• Omnichannel experience with context retention: Customers can start on channels such as chat, email, WhatsApp, social, or voice chat, switch channels, and keep end-to-end context.
• Natural-language workflow instructions: Teams can define and run workflows in plain language so existing docs can become live automations without coding or flowchart work.
• Hybrid intelligence with approvals: Automation levels can be governed with human-in-the-loop steps, including partial handoff, full takeover, and approval-based execution when tasks become complex.
• Simulation and evaluations before rollout: Built-in policies, simulation, and evaluation validate changes prior to going live and help keep agents aligned as systems evolve.
• Knowledge & Actions Hub with connector support: A unified hub grounds AI on sources and supports actions across connected tools, including “deep” out-of-the-box integrations and MCP-native architecture.
• Outcome and quality monitoring: An Insights Hub tracks resolution performance, intent and demand drivers, quality and policy adherence, and CSAT feedback.

How to Use Typewise

1. Create a specialist agent: Start by setting up an AI specialist agent and connecting it to your knowledge sources.
2. Validate safely: Use built-in simulation and evaluations so changes can be checked before execution.
3. Launch on a first channel with approvals (human-in-the-loop): Go live for one channel with human review and approval where needed.
4. Expand agents, channels, and actions: Add additional specialist agents and extend integrations, enabling more workflow actions across your systems.
5. Review outcomes and compliance signals: Use the Insights Hub to monitor resolution performance, quality/policy adherence, escalation patterns, and CSAT.

Use Cases

• Ticket triage and guided responses: Use Typewise to automatically sort and respond to incoming support tickets based on your knowledge sources, with suggested replies and (where governed) approvals.
• End-to-end returns and billing requests: Handle commerce-related workflows that require action in operational systems (for example, returns processing or billing/renewal-related workflows) while following defined automation and approval levels.
• Quotes and renewal workflows: Support sales and commerce operations by executing guided steps across CRM and billing tools, then returning outcomes to customers through the selected channel.
• Omnichannel customer resolution with context: Let customers move between chat, email, and messaging/voice options without losing the context needed to complete the resolution.
• Continuous improvements to automation behavior: Update workflow behavior using natural-language instructions so existing documentation can be turned into live automations, then validate changes through simulation/evaluation before rollout.

FAQ

• How quickly can Typewise go live? The provided information describes a timeline where first live agents can be created in about 15 minutes, and a human-in-the-loop launch can occur within week 1.

• Can teams update automations without coding? Yes. Typewise supports Natural Language Instructions, allowing teams to define and run workflows in plain language rather than writing code.

• How does Typewise keep automation under control? It uses hybrid intelligence with approvals and provides policy-based governance, including audit logs and controls that support review before execution.

• Does Typewise work across multiple channels? Yes. It supports omnichannel customer interactions (including chat, email, WhatsApp, social, and voice chat) with end-to-end context retention.

• What kinds of systems does it connect to? The platform is described as using 200+ deep integrations and MCP-native architecture, and it can read and write across tools including CRM, ERP, billing, ITSM, commerce, and knowledge systems.

Alternatives

• General-purpose customer support chat/automation platforms: These can automate replies and workflows, but may not provide the same level of multi-agent orchestration that executes actions across CRM/ERP/billing systems with policy-based approvals.
• Workflow automation tools (e.g., rules/RPA platforms) paired with LLM chat: Useful for connecting systems and handling tasks, but often require more explicit workflow engineering compared with natural-language workflow instructions and simulation/evaluation built into Typewise.
• Knowledge-grounded chatbot solutions: Good for Q&A over help content, but may focus on responses rather than end-to-end resolution with governed actions in operational systems.
• Human-in-the-loop helpdesk routing and agent assist: Can improve routing and drafting while keeping humans in control, but typically won’t match a platform designed for AI-led specialist workflows that can take action across your stack.