What challenges did Autohive face before AI implementation?

Small and medium-sized businesses often lack the internal resources to build and deploy custom AI solutions. Existing AI tools were not well integrated with business systems and workflows, and custom AI development was expensive.

What was the impact of the AI solution?

Autohive says non-technical users can deploy AI workflows in minutes. The platform had more than 800 active users at the time of publication. Autohive targeted 1,000 organizations and 10,000 users by March 2026.

Source

Evidence: Medium50/100

Autohive accelerates no-code AI agent creation using Amazon Bedrock

Use case typeLegal workflow automationUpdated Jun 13, 2026

Autohive is a no-code AI automation platform from Raygun that helps small and medium-sized businesses create and manage AI agents for business workflows. The platform runs entirely on AWS and uses Amazon Bedrock together with AWS Lambda, Amazon EC2, Amazon RDS, Amazon S3, and AWS Auto Scaling / Application Load Balancer infrastructure to support secure tool execution, web hosting, data storage, and scale.

Organization: Autohive
Industry: Tech & Comms
Location: New Zealand
Published: May 2026

Reported outcomes

Active users: More than 800 users

Adoption & scale

Planned next steps

The source says the organization aims to achieve Target organizations: 1,000 organizations.
The source says the organization aims to achieve Target users: 10,000 users.

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Active users: 800 users increase

AWS Case StudyMay 27, 2026Customer storyExplicit claimMedium evidence strength

The platform already has more than 800 active users.

Normalized claim

Target organizations: 1,000 organizations

AWS Case StudyMay 27, 2026Customer storyExplicit claimMedium evidence strength

1,000 organizations ... targeted by March 2026.

Normalized claim

Target users: 10,000 users

AWS Case StudyMay 27, 2026Customer storyExplicit claimMedium evidence strength

10,000 users targeted by March 2026.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Autohive, Raygun
Provider: AWS
Maturity: Unknown
Linked source: AWS Case Study

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

1No-code AI agent platform
2Workflow automation
3Developer tools

Autohive provides a no-code interface where users define agents with system prompts and attach tools to automate workflows.
Agents run custom tools securely inside AWS Lambda, and the platform integrates with services such as Slack, HubSpot, and Gmail to support customer support, marketing, analytics, and other business processes.
The platform is built entirely on AWS and uses Amazon Bedrock for model access plus core AWS infrastructure for hosting, storage, processing, and scaling.

Technologies

Amazon Bedrock AWS Lambda Amazon EC2 Amazon RDS Amazon S3 AWS Auto Scaling Application Load Balancer

Autohive says non-technical users can deploy AI workflows in minutes.
The platform had more than 800 active users at the time of publication.
Autohive targeted 1,000 organizations and 10,000 users by March 2026.

Architecture

Autohive is a no-code agent platform running entirely on AWS. It uses Amazon Bedrock for model access, AWS Lambda for secure tool execution, Amazon EC2 for hosting and background processing, Amazon RDS for data, Amazon S3 for agent artifacts, and AWS Auto Scaling plus Application Load Balancer for traffic and scale.

Sources & evidence1

Evidence: Medium50/100Evidence strength