---
id: "concept-continuous-change-process"
type: "concept"
source_timestamps: ["§ Training for a Marathon When You Can Only See Two Feet Ahead", "§ Lessons for Other Companies"]
tags: ["change-management", "agile-methodology", "technology-strategy"]
related: ["concept-inaction-risk-calculation", "claim-proprietary-models-not-competitive-advantage"]
definition: "An organizational transformation model that abandons fixed end-states in favor of perpetual adaptation to keep pace with rapidly evolving technologies."
sources: ["execution"]
sourceVaultSlug: "hbr-seg-execution"
originDay: 8
articleStem: "hbr-cl-93-legacy-financial-all-in-genai"
sourceUrl: "https://hbr.org/2025/03/how-a-legacy-financial-institution-went-all-in-on-gen-ai"
sourceTitle: "How a Legacy Financial Institution Went All In on Gen AI"
---
# Continuous Change Process

## Continuous Change Process

Traditional digital transformations (like moving from on-premise software to the cloud) operate on a **Point A → Point B model** — a known origin and a defined destination state. [[entity-moodys|Moody's]] realized this paradigm **fails with Generative AI** because the technology evolves too rapidly and the end-state applications are unknown.

CEO [[entity-rob-fauber|Rob Fauber]] likened it to *'sprinting into the fog'* (see [[quote-sprinting-into-fog]]). Consequently, organizations must abandon the idea of a final destination and instead run **continuous change processes**, remaining in a state of perpetual adaptation.

This requires two disciplines:
1. **Centralize only** the elements genuinely needed for scaling.
2. **Integrate risk, compliance, and legal teams directly** into the change program to prevent traditional speedbumps (see [[action-integrate-risk-and-compliance]]).

**Definition:** An organizational transformation model that abandons fixed end-states in favor of perpetual adaptation to keep pace with rapidly evolving technologies.

### Connections
- Downstream of the [[concept-inaction-risk-calculation]] — perpetual motion is the operational answer to 'the fog will never fully lift.'
- Reinforced by [[claim-proprietary-models-not-competitive-advantage]]: since models are commodities that keep improving, the org must keep adapting rather than freeze on one build.

### Enrichment note
The 'sprinting into the fog' metaphor connects to broader **agile-transformation and continuous-change literature**, where end-states are not fully knowable in advance and AI adoption is treated as an ongoing operating-model shift rather than a finite transformation program.


## Related across articles
- [[concept-manufactured-instinct]]
- [[concept-inaction-risk-calculation]]