What is the Enterprise Agentic AI Offering designed for?
To empower AEs to sell Human Data offering to Enterprise companies building AI Agents
micro1 designs, evaluates, and fine-tunes Agentic AI tailored for enterprise use cases.
What differentiates micro1’s approach to Agentic AI?
- Leverage Human Data
- Fine-tune frontier models
- Work with top domain experts
This approach helps define which models best fit the Agent’s purpose and where they’re failing.
What are the customer profiles targeted by micro1?
- Non-native AI companies seeking advanced automation
- Enterprises with high-value workflows
- Companies lacking AI engineering expertise
- Organizations without fine-tuning capabilities
These customers often want to deploy specialized agents.
What engagement model does micro1 provide if a customer doesn’t have agents?
Define what models to use and assess current models’ effectiveness
micro1 helps customers choose models and define fine-tuning roadmaps.
What is the goal of the discovery call for AEs?
Uncover how the customer is building, evaluating, improving, and monitoring agents
Most enterprises lack full knowledge that data is key for agent performance.
What are the key aspects AEs should explore during discovery?
- AI agent strategy
- Building process
- Current performance pains
- Evaluation methods
This includes hallucinations, accuracy issues, and safety concerns.
True or false: Most AI agents fail because companies can’t build them.
FALSE
Most fail due to inability to evaluate, fine-tune, or ensure reliable behavior at scale.
What are the four steps in explaining micro1’s offering?
- Model Selection
- Performance Assessment
- Evaluate & Fine-Tune
- Continuous Production Evaluations
These steps ensure agents are production-ready and aligned with expert-level accuracy.
What does micro1 handle in the full lifecycle of enterprise-grade AI agents?
- Define
- Architect
- Build
- Fine-tune
- Deploy
- Continuously evaluate
This addresses common struggles companies face with AI agents.
What is the purpose of the scoping calls with the AI team?
Understand beneficial agents and the full process for the company
This leads to a precise agent specification tailored to business goals.
What is the importance of the eval dataset in agent design?
Tests different models and scores them against expert rubrics
This helps identify the best model and performance gaps.
What does continuous evaluation of agents involve?
- Human-in-the-loop evaluations
- Performance refinement
- Safety checks
- Compliance validation
This ensures agents improve over time and maintain accuracy.
What are some agent use cases that micro1 can design?
- Customer support
- Fraud detection
- HR ops
- Claims processing
- Knowledge search
micro1 adapts to meet any business requirement with enterprise-grade quality.
What does micro1’s approach leverage for agent improvement?
World-class human data
This results in faster deployment, higher accuracy, and better safety.
What is the real meaning behind the objection ‘We don’t have budget for this’?
They don’t see a clear ROI yet
This often indicates that the value of the use case wasn’t quantified.
What should AEs emphasize when addressing compliance and safety concerns?
Safety is baked into the build process
Agents run inside the customer’s infrastructure with controlled access and full auditability.
What are the deliverables for a free pilot evaluation?
- About 10 tasks for complex rubrics
- About 100 tasks for standard workflows
This helps assess agent performance and identify gaps.
What factors determine the pricing of agent projects?
- Complexity of the workflow
- Amount of expert human data required
- Type of experts required
This is similar to the proposal process for human data projects.
