Services and capabilities
Each engagement is shaped around the actual users, operating constraints, system ownership, and desired outcome for founders and organizations building ai-powered saas, support, research, document, recommendation, classification, media, or agent tools.
AI product discovery and feasibility can combine hosted and open-source model integration with a defined response to “A model demo has no dependable product workflow.” Scope identifies the responsible owner, affected journey, and evidence required before release.
Model and provider selection can combine RAG, fine-tuning, and tool use with a defined response to “The product uses AI where ordinary software is better.” Scope identifies the responsible owner, affected journey, and evidence required before release.
Application UX and human review can combine AI-centered interface design with a defined response to “Quality cannot be evaluated before release.” Scope identifies the responsible owner, affected journey, and evidence required before release.
Data storage and retrieval systems can combine evaluation and observability systems with a defined response to “Token or GPU costs undermine the business model.” Scope identifies the responsible owner, affected journey, and evidence required before release.
Safeguards, evaluation, and monitoring can combine safety, permissions, and human oversight with a defined response to “Users cannot understand or correct output.” Scope identifies the responsible owner, affected journey, and evidence required before release.
Production deployment and cost controls can combine saaS, API, and private deployment architecture with a defined response to “The application lacks production safeguards.” Scope identifies the responsible owner, affected journey, and evidence required before release.
Technical and operational coverage
What shapes scope
Direct help from Faith Forge Labs
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