Custom AI
Custom AI is an AI system designed and built for a specific enterprise's data, workflows, and constraints, rather than a generic product configured by the buyer.
What is Custom AI?
Custom AI sits between two extremes: off-the-shelf SaaS (configured but not coded) and full in-house build (engineered from scratch). It is the typical mode for regulated workflows where the data, the success metric, and the compliance bar are unique. A custom AI engagement combines product thinking, data engineering, applied machine learning, and operational design.
How does Custom AI apply to enterprise AI?
Custom AI is what Impetora sells. The deliverable is a system, not a product licence: code, infrastructure, evaluation harness, runbooks, and the evidence pack required for procurement and audit.
Related terms
- Enterprise AI - Enterprise AI is AI deployed inside a large organisation, integrated with systems of record, governed by enterprise risk and compliance, and accountable to multiple stakeholders.
- Consulting AI - Consulting AI is the engagement model in which an external team provides AI strategy, design, build, and operate services to an enterprise client.
- Build vs Buy AI - Build vs buy is the strategic decision between developing an AI capability internally or in partnership, versus licensing a finished product from a vendor.
- TRACE Methodology - TRACE is Impetora's four-pillar methodology for delivering enterprise AI in regulated industries: Trust, Readiness, Architecture, Citations.
External references
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