Description
Inkeep provides a unified platform for creating and deploying AI agents designed to augment customer experience (CX) and operations teams. The platform empowers both technical and non-technical users to build AI teammates that can understand and interact with your specific data, product documentation, knowledge bases, and existing tools.
At its core, Inkeep offers two primary development approaches: a No-Code Visual Builder and a Developer Agents SDK. The No-Code Visual Builder allows business teams to design and implement AI agents without extensive coding knowledge, using a visual interface to define workflows and triggers. For more complex or custom needs, the TypeScript SDK provides developers with the tools to build sophisticated agents, with full two-way synchronization ensuring consistency between the code and the visual representation.
Key capabilities include customer-facing assistants that can answer complex questions by querying unified knowledge bases and customer intelligence data, automating common resolution tasks through AI workflows. For internal operations, Inkeep Coworker acts as a personal assistant for CX teams, triggering from Slack or support platforms, gathering context across CRMs and billing systems, and providing ready-to-approve suggestions. The platform also supports automation agents that keep knowledge bases up-to-date, triggered by webhooks or schedules, and can orchestrate multiple agents for complex tasks.
Inkeep's Agent Builder facilitates the creation of custom AI agents for enterprises. It includes connectors, automation tools, testing, reporting, and governance features. The platform emphasizes collaboration, allowing technical and non-technical teams to work together seamlessly. Case studies highlight Inkeep's impact, such as reducing support tickets, scaling support without team expansion, and instantly resolving technical customer questions.
The value proposition of Inkeep lies in its ability to democratize AI agent development, foster cross-functional collaboration, and enable businesses to scale their CX and operations efficiently by deploying AI teammates that are deeply integrated with their enterprise data and workflows.
Inkeep AI Agents's Core Features
No-Code Visual Builder for AI agent creation
Developer Agents SDK (TypeScript) for custom agent development
Two-way synchronization between visual builder and SDK
Customer-facing AI assistants for support
Internal AI teammates (Coworker) for CX teams
Unified search across knowledge bases and product data
AI Workflows for automating resolution tasks
Automation Agents for knowledge base updates
Multi-agent orchestration for complex tasks
Connectors for integrating with enterprise systems
Testing and reporting capabilities for AI agents
Governance features for AI agent management
Human Approvals for AI-generated suggestions
How to use Inkeep AI Agents?
Configure: Define your AI agent's purpose and data sources using the visual builder or SDK.
Build: Design workflows, triggers, and agent interactions.
Integrate: Connect agents to your existing tools and platforms.
Test: Run tests to ensure agent accuracy and performance.
Deploy: Ship your AI agents to customer-facing or internal teams.
Monitor: Track agent performance and gather insights for optimization.
Inkeep AI Agents's Use Cases
- Customer Support Automation
- Internal CX Team Augmentation
- Knowledge Base Management
- Cross-functional AI Development
- Operations Efficiency
- Product Information Access



