ATHENA
Most AI strategy work produces a slide deck of possibilities and no path to execution. ATHENA is built to do the opposite: study how a business actually runs today, find the two or three points where AI creates measurable value, and hand a roadmap to HEPHAESTUS that can be built immediately.
What ATHENA is used for
- Auditing current operations to find which manual processes are worth automating first
- Building a prioritised AI roadmap ranked by effort versus return, not by novelty
- Defining concrete use cases and success metrics before any code is written
Works with
Common questions
A first-pass roadmap is typically produced from a short discovery process, not a months-long study — the goal is a plan HEPHAESTUS can start building against quickly.
It helps, but is not required. ATHENA can work from process interviews and existing tool exports when a formal data warehouse does not yet exist.
A ranked set of use cases with the expected effort and impact of each, ready to be sequenced into build work by HEPHAESTUS.
Works alongside
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