---
id: "action-audit-lock-in"
type: "action-item"
source_timestamps: ["00:18:35", "00:19:00"]
tags: ["enterprise-strategy", "risk-management"]
related: ["concept-behavioral-lock-in"]
action: "Evaluate current and planned enterprise AI deployments specifically for intelligence/behavioral lock-in risks."
outcome: "Prevents the organization from becoming permanently tethered to a single AI provider due to un-migratable agent context."
sources: ["s51-512k-leaked-code"]
sourceVaultSlug: "s51-512k-leaked-code"
originDay: 51
---
# Audit AI Adoption for Behavioral Lock-In

## Action

Evaluate current and planned enterprise AI deployments specifically for **intelligence/[[concept-behavioral-lock-in|behavioral lock-in]] risks**.

## Outcome

Prevents the organization from becoming permanently tethered to a single AI provider due to un-migratable agent context.

## How To Execute

1. **Inventory** all AI agents and assistants currently deployed (per business unit).
2. For each, assess:
   - What *behavioral context* is being accumulated? (Tone, workflows, decision patterns.)
   - Is that context exportable in any format?
   - What productivity dip would occur on a 6-month-deep migration to a competitor?
3. **Categorize** as low / medium / high lock-in risk.
4. **Pair** with the [[action-demand-portability|portability demand]] for high-risk deployments.

## Suggested Cadence

Gartner recommends **annual portability audits**. Build it into existing vendor-risk review cycles.

## Related

- [[framework-eras-of-lock-in]] — historical context
- [[claim-agent-lock-in-severity]] — quantitative magnitude