Softacus AI Hub
Softacus AI Hub connects engineering data with AI models and agents in IBM ELM environments. It provides management of users, roles, budgets and models, with workflow use cases selected and evaluated for your organisation.
About this offering
Choose one engineering taskPlan the evaluationHow the components connectScope and responsibilityCommon questionDiscuss your use case
Choose one engineering task
Softacus describes AI Hub use cases including requirements quality analysis, semantic duplicate detection, impact analysis and test case generation. Start with a task whose result your engineering team can evaluate.
Plan the evaluation
Workflow overview based on the documented scope. Configuration and delivery details are agreed for your environment.
- Set data boundaries. Agree the IBM ELM applications, permitted information and access rules.
- Select the workflow. Choose the model, agent, inputs and expected output for one task.
- Review the result. Have the responsible engineers assess generated content against agreed checks.
How the components connect
AI Hub connects engineering data with AI models and agents, including MCP-based interaction with IBM ELM. It provides management of users, roles, budgets and models. Available integrations must be confirmed for the proposed setup.
Scope and responsibility
Agree data handling, evaluation inputs, review ownership and acceptance criteria. Model access, deployment, licensing and any implementation services need confirmation in the proposal.
Common question
Can generated content be used without review? Engineering results need appropriate human review before use; a generated answer is not an approved engineering decision.
Discuss your use case
Describe the task, ELM environment, data constraints and the result you want to evaluate.
