Autoblocks 2.0 is a GenAI platform designed to help enterprises build, test, and deploy reliable AI applications. According to official information, the platform not only provides technical tools but also offers end-to-end services from project planning to hands-on training.
Purpose
Autoblocks 2.0's purpose is to make AI serve enterprise business. It is aimed at organizations that want to turn AI investments into business performance, whether choosing their first AI project or scaling across departments, all with the goal of improving revenue, cost, capacity, or service. The platform also provides training and adoption support to help teams use AI effectively.
Key Capabilities
The platform's core capabilities include:
- AI Project Planning and Building: From a single agent to company-wide rollout, plan and build AI projects.
- AI Maturity Assessment: Determine the ROI point of AI through assessment and define the first project.
- Use Case Prioritization: Help leadership identify which AI use cases are valuable, feasible, and worth acting on immediately.
- Build vs. Buy Analysis: Assist in deciding whether to build or buy AI solutions.
- Agent Deployment: Hand off repetitive work to AI agents built around enterprise tools and processes.
- Integration and Customization: Build directly within existing systems, or customize integrations as needed.
- Testing and Monitoring: Test AI agents on real work, with human review; measure ROI through baseline comparisons (cycle time, error rate, cost).
How to Use
Official information describes four ways to collaborate:
- Deploy AI agents for repetitive work: Configure or custom-build within existing platforms, connect the systems needed for the work, and test on real work with human review.
- Scale AI across a team or business area: Redesign workflows, provide integration and customization work, as well as team training and adoption support.
- Determine the ROI point of AI: Define the first project through AI maturity assessment, use case prioritization, and build vs. buy analysis.
- Hands-on training for leaders and teams: Use the enterprise's own tools and work to provide leadership briefings, hands-on exercises, and follow-up office hours.
The implementation process is divided into four steps:
- 01 Map Processes: Interview employees to understand how work is actually performed, uncover data patterns in tools and record systems, and review existing documentation.
- 02 Classify and Audit: Examine each step of the workflow and decide whether to delete it, keep it manual, or introduce three types of A(automation, agents, or applications).
- 03 Build: Build directly within the systems the team already uses, to reduce friction and training.
- 04 Measure and optimize: Baseline existing processes before deployment (cycle time, error rate, cost), and after deployment compare old and new data to demonstrate return.
Applicable scenarios
The platform can be used for a variety of business scenarios, for example:
- Sales: account researcher, proposal assistant, CRM assistant.
- Finance: reporting assistant, invoice entry, expense review, investment meeting material preparation.
- Support: knowledge assistant, request triage, help content assistant, customer feedback summarization.
- Operations: meeting follow-up, project updates, onboarding guides, chasing missing documents, keeping product information up to date, organizing inbound opportunities.
The industries the platform serves include private equity, venture capital, professional services, and field services.
Limitations
Official materials do not provide detailed information about fees, pricing, platform compatibility, tech stack, or specific deployment limitations; this content is not currently available. The materials also do not state whether all AI models or frameworks are supported.
Team background
The platform is led by Haroon Choudery, who has 10 years of AI experience, has led AI projects for Mark Cuban's company, and has led AI automation at Deloitte for one of the world's largest asset management companies. He also co-founded Autoblocks, whose tools are used by companies such as Gamma and Hinge Health to test AI products. In addition, he founded A.I. For Anyone, one of the most influential AI education nonprofits in the United States, providing free AI education to 70,000 people.
