Insurance AI Readiness Scorer

Score AI operating maturity across governance, data, tooling, and skills, then generate a deterministic 90-day plan for controlled scale-up.

Created by

Poovannan Rajendran

Analysis and review time (MM:SS:CS)

00:00:00

Current file

scaling-programme.txt

Readiness status

Not run yet

Storage

Awaiting run

Mode

Deterministic maturity scoring and action planning

Intake

AI readiness assessment

Assessment source input

Upload zone

Use key-value lines to define sponsor, governance, data foundation, blockers, and 90-day actions.

Source label

Assessment text input

Statement text

sponsor=COO and CUO joint sponsorship
target_domains=Underwriting triage, claims leakage, exposure management, regulatory operations
data_foundation=Curated warehouse with daily refresh, governed semantic layer, and API access
governance=Quarterly AI oversight board with control owners and monthly model risk review
operating_model=Central AI enablement office with domain product owners and local implementation leads
tooling=Prompt gateway, model eval pipeline, observability dashboards, and incident response playbooks
skills=Two ML engineers, four analytics product leads, underwriter champions, and claims SMEs embedded in squads
use_case_1=Referral queue prioritisation
strength_1=Executive sponsorship is active with explicit quarterly funding commitments
strength_2=Production data contracts in place with named data owners for each critical feed
strength_3=Model evaluation framework is running before each release with regression checkpoints
strength_4=Controls library already mapped to underwriting and claims workflows
blocker_1=Inconsistent playbook adoption across regional teams
blocker_2=Escalation thresholds differ between London and regional operations
plan_1=Standardise risk controls in all live apps
plan_2=Launch AI enablement academy for underwriters
plan_3=Publish a single operating playbook with role-level RACI and control checkpoints
plan_4=Introduce monthly cross-region scorecards for adoption, quality, and cycle-time outcomes

Query prompt

Runs deterministic maturity scoring and roadmap generation through the app route.

Summary

Readiness overview

Readiness score bar

Not run yet

Low (0-39)Average (40-69)Good (70-100)

Band

Completeness

Confidence

Readiness score

Query

Prompt match snippets

No snippets matched the query tokens in this run.

Strengths

Current enablers

No strengths extracted yet.

Blockers

Delivery blockers

No blockers extracted yet.

Plan

Ninety-day implementation plan

Run an analysis to generate the 90-day plan.

Whitespace

Whitespace wording table

Field wording	Extracted value	Status

Run an analysis to view extracted whitespace fields.