The Fraim is an agentic AI automation platform to design, build, deploy, manage and run production-ready agentic crews. Multiple specialized AI agents work together as one intelligent team to automate your business processes.
Business experts describe what they want to automate through a guided conversational interface. The Fraim transforms this into a structured blueprint, designs and generates the agentic crew, while business and technical experts review, train, validate, deploy and manage the agentic crews.
The entire lifecycle is human-governed, with review, validation and approval built into the process.
The Fraim comes with powerful features and capabilities to design, build, deply, manage and run agentic crews.
Here are some of the highlights.
Build agentic crews in which multiple specialized AI agents collaborate to automate complete business processes.
Business experts provide the business knowledge and help train and validate the AI agents, while technical experts review, refine and deploy production-ready agentic crews.
Start with a conversation about the business process you want to automate. The Fraim asks targeted questions, identifies missing information and builds a complete understanding of the process.
The Fraim automatically turns the gathered information into a structured blueprint covering the workflow, AI agents, responsibilities, integrations and compliance requirements, ready for human review, fine-tuning and validation.
The Fraim proposes the solution architecture, including the number and type of AI agents, their responsibilities, the appropriate LLMs, integrations and other design choices, ready for human review, refinement and validation.
Move every agentic crew concept through a controlled approval process. The blueprint is created, independently validated and formally approved before The Fraim starts building the agentic crew.
With a single click, The Fraim generates the first version of the complete agentic crew from the approved blueprint, ready for technical review, validation and refinement.
Configure each AI agent individually, including its responsibilities, LLM, training, human in the Loop and runtime settings.
Upload documents, datasets and other relevant information to establish the knowledge foundation for individual AI agents.
Human trainers validate, correct and refine the output of individual AI agents before the complete agentic crew moves into User Acceptance Testing.
Define where human review, validation or intervention is required before an AI agent or agentic crew makes a decision or executes an action.
Concept Creators, Concept Validators, Approvers, Builders, Machine Trainers, Human Trainers, Deployers and Administrators work together with clearly defined roles and permissions.
Manage and run your agentic crews from The Fraim, with visibility and control over deployed crews, individual agents and their ongoing operation. Configure runtime settings to define when and how crews operate, from human-triggered and semi-autonomous execution to fully autonomous operation.
The blueprint, workflow, AI agents, approvals, training and deployment come together in one central place, providing visibility throughout the complete lifecycle.
Define which AI models can be used, track AI usage across your agentic crews and set limits to maintain control over AI usage and costs.
Create Enterprise Knowledge Hubs that bring information and knowledge from across your organisation together, making it accessible and usable through AI, with access rights controlling who can access which knowledge.
A structured workflow guides and streamlines every agentic crew creation through blueprint creation, approval, build, training, validation, testing and deployment.
Run agentic AI in an enterprise environment with governance, roles and permissions, approval workflows, Human in the Loop and control built into the platform.
The Fraim takes you from a business process you want to automate to a production-ready agentic crew. Business experts start by describing the process through a guided conversation. The Fraim turns this knowledge into a structured blueprint, proposes the agentic crew and its architecture, and — once validated and approved — generates the first version of the crew.
The Fraim generates the complete agentic crew, including the individual AI agents, their configuration, workflows and integrations. Human experts then review, validate and fine-tune what The Fraim has generated before the crew is trained, tested and deployed.
People are involved at every critical step. Business experts provide and validate the business knowledge, validators and approvers review and approve the blueprint, human trainers train and refine the AI agents, and technical experts review and prepare the crew for production.
Once deployed, Human in the Loop can be configured wherever human review, approval or intervention is required during operation.
Business experts provide the business process they want to automate through a guided conversation or by uploading relevant documents.
The Fraim analyses the information, asks targeted questions where needed and identifies missing information to build a complete understanding of the process, with business experts reviewing and refining the result along the way.
The Fraim transforms the gathered information into a structured blueprint and proposes the complete agentic crew design, including the workflow, AI agents, their responsibilities, LLMs, integrations and compliance requirements.
The Fraim also gives an indication of the expected token usage for each action the agentic crew will perform once operational, providing early insight into expected AI usage and costs.
The blueprint moves through a governed validation and approval process before The Fraim starts building the agentic crew. Validators review and validate the blueprint, while an Approver gives the formal approval to proceed with the build.
Once the blueprint is approved, The Fraim generates the first version of the complete agentic crew, including the individual AI agents, their configuration, workflows and integrations. The generated crew is then ready for technical review and refinement.
Technical experts review the complete agentic crew generated by The Fraim, including the individual AI agents, their configuration, workflows and integrations. They validate the technical implementation, make adjustments and fine-tune the crew where needed before approving it for the next stage.
Relevant documents, datasets and other information establish the knowledge foundation for the individual AI agents. Human trainers then work with the agents to validate, correct and refine their output before the complete agentic crew proceeds to UAT.
The complete agentic crew moves into User Acceptance Testing, where users and experts test and validate its end-to-end behaviour. Feedback and identified issues are addressed before the crew is approved for production deployment.
Once validated, the agentic crew is prepared and deployed into its production environment. Technical experts and deployers review and manage the deployment, ensuring the required technical and governance controls are in place before the crew starts operating in production.
Once deployed, the agentic crew is managed and operated through The Fraim. Runtime settings define when and how the crew operates, from human-triggered and semi-autonomous execution to fully autonomous operation. You determine where human review, validation, approval or intervention is required before AI agents make decisions or execute actions.
Discover how The Fraim can help you automate your business processes with agentic AI. Design, build, deploy, manage and run production-ready agentic crews, while your people remain in control.
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