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The FORGE Framework

A structured method for AI that ships

FORGE is the proprietary methodology we apply to every engagement. It was developed across 140 projects and refined specifically to address the failure modes that kill most enterprise AI initiatives.
F
Frame
Define the problem worth solving and the data that exists
O
Orient
Architecture, model selection, and production-readiness
R
Run
Iterative build with continuous evaluation against benchmarks
G
Gate
Staged rollout with human-in-the-loop controls and monitoring
E
Evolve
Ongoing monitoring, drift detection, and capability
Phase by Phase

What happens at each stage

F — Phase 1
Frame
Problem Definition
Structured workshops to separate AI-appropriate problems from those better solved by process or software.
Data Audit
Assessment of data quality, availability, labeling, and governance for the target use case.
Success Criteria
Quantified definitions of what good looks like, agreed before architecture decisions.
Feasibility Assessment
Technical and data feasibility validation with a clear go/no-go recommendation.
O — Phase 2
Orient
Architecture Design
System design with explicit tradeoffs documented and reviewed with client engineering.
Model Selection
Model evaluation against the specific task, data, and latency/cost requirements.
Integration Mapping
API contracts, data flows, and integration points with existing systems documented.
Compliance Review
Regulatory and security requirements mapped to architecture decisions before build begins.
R — Phase 3
Run
Architecture Design
System design with explicit tradeoffs documented and reviewed with client engineering.
Model Selection
Model evaluation against the specific task, data, and latency/cost requirements.
Integration Mapping
API contracts, data flows, and integration points with existing systems documented.
Compliance Review
Regulatory and security requirements mapped to architecture decisions before build begins.
G — Phase 4
Gate
Architecture Design
System design with explicit tradeoffs documented and reviewed with client engineering.
Model Selection
Model evaluation against the specific task, data, and latency/cost requirements.
Integration Mapping
API contracts, data flows, and integration points with existing systems documented.
Compliance Review
Regulatory and security requirements mapped to architecture decisions before build begins.
E — Phase 5
Evolve
Architecture Design
System design with explicit tradeoffs documented and reviewed with client engineering.
Model Selection
Model evaluation against the specific task, data, and latency/cost requirements.
Integration Mapping
API contracts, data flows, and integration points with existing systems documented.
Compliance Review
Regulatory and security requirements mapped to architecture decisions before build begins.
Getting Started

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