Foaster

AI-native consulting that interviews your whole org at scale.

Foaster is an AI-native consulting firm where AI agents conduct employee interviews at scale across an organization, reconstruct how the organization actually functions in practice, identify operational bottlenecks, and generate recommendations — with a single human consultant reviewing and refining the output rather than a traditional team-based engagement. Conventional management consulting relies on a team of consultants conducting a limited number of interviews due to time and cost constraints, often missing the full picture of how an organization really operates; Foaster’s agent-driven interview approach can engage far more employees, surfacing a more complete and granular picture of organizational dynamics. The platform targets mid-market and enterprise organizations seeking organizational diagnostics and differentiates through its agent-at-scale interview model combined with human oversight, positioning itself as a new consulting delivery model rather than a software tool used by traditional consultants.

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Key Features

AI-conducted employee interviews at scale: Deploys AI agents to interview a large portion of an organization’s employees, gathering qualitative insight at a scale that traditional consulting engagements cannot match given time and budget constraints.
Organizational reconstruction: Synthesizes interview data to reconstruct how the organization actually operates in practice — workflows, decision points, communication patterns — rather than relying on org charts or stated processes.
Bottleneck identification: Analyzes the reconstructed organizational picture to identify specific operational bottlenecks and inefficiencies that are limiting performance.
AI-generated recommendations: Produces recommendations based on the diagnostic findings, giving organizations a concrete starting point for addressing identified issues.
Human consultant review: Maintains a human consultant in the loop to review, refine, and validate AI-generated output before it is delivered to the client, combining scale with professional judgment.
Multi-model architecture: Uses multiple underlying LLM providers to power the interview, synthesis, and recommendation-generation tasks.

Use Cases

For organizations seeking a comprehensive operational diagnostic: A mid-sized company struggling to understand why certain processes are slow or inefficient engages Foaster to interview employees at scale and surface a data-driven picture of where the actual bottlenecks lie, rather than relying on a small sample of leadership interviews.
For organizations undergoing significant change or restructuring: A company preparing for a reorganization or major operational change uses Foaster to understand current-state workflows comprehensively before designing the new structure, reducing the risk of overlooking important operational realities.

Pricing MODELS

Saas subscription

Pricing Summary

Foaster uses a project-based and SaaS pricing model. Specific pricing is not publicly listed — organizations contact the company for a quote based on engagement scope.