Worked example / Fictitious company
Corvane Financial. The full journey. One firm taken through every part of the offer, from the first inventory to live monitoring. Corvane Financial is invented, and so are all of its numbers and findings.
Fictitious example The client
Corvane Financial A fictitious diversified financial services group
Lines of business Retail banking, wealth, insurance
Employees 18,000
Markets UK, EU and US
Models in use Gemini, Claude, GPT and two open weight models Why they called
A mortgage assistant quoted a rate that did not exist. The board asked three questions nobody could answer: which AI do we run, how does it behave under attack, and who owns the risk?
Stage 01 / 04 / Weeks 1 to 2
Assess 96 AI systems found 31 Missing from any register 9 Tier 1 (highest risk) 42% Business owners named Maturity, current against target
Inventory 1.5 / 5 Model behaviour 2.5 / 5 Data and privacy 3 / 5 Security and misuse 1.5 / 5 Accountability 2 / 5 Current Target
Top findings
High Complaints agent can be steered by instructions hidden in customer emails. High Mortgage assistant invents product terms when rates change mid conversation. High Advisor copilot gives less complete answers for some customer segments. Medium A third of GenAI tools sit outside the model risk inventory. Medium No owner for risk in models bought from vendors. Claude Fable rapid eval on five priority systems
System Model Tests Pass rate High severity Mortgage assistant GPT 2,400 91.2% 4 Claims summariser Claude 1,800 96.8% 1 Advisor copilot (wealth) Gemini 2,100 93.5% 3 Complaints triage agent Claude 1,500 89.4% 5 KYC document reader Open weight 1,200 94.1% 2
9,000 tests generated from Corvane Financial policies. Every high severity finding verified by Faculty.
Stage 02 / 04 / Weeks 3 to 6
Design Every finding becomes an owned action
31 unregistered systems Mandatory AI intake with automatic risk tiering Chief Data Office Prompt injection in complaints agent Red team sign off gate for tier 1 and 2 releases CISO Uneven answers across segments Fairness thresholds and monitoring per use case Model risk Invented product terms Grounding to the product catalogue and a factuality test set Mortgages product owner Vendor model risk unowned Due diligence and contract clauses for AI suppliers Procurement The RAI council
Chair Chief Risk Officer
Members CDO, CISO, General Counsel, Head of Model Risk, business line heads
Cadence Monthly, with tier 1 decisions escalated within five days
Independent challenge Internal audit, supported by Faculty Stage 03 / 04 / Months 2 to 5
Implement PRC, Policy, Risk and Controls, built and live
P 4 policies
AI acceptable use Model and agent standard GenAI data handling Third party AI R 57 risks registered
Taxonomy of 12 AI risk types Tiering tied to the inventory Eight key risk indicators C 112 controls
Mapped once to EU AI Act, ISO/IEC 42001 and NIST AI RMF 64% tested automatically Evidence stored per release Security by design
61% Agent tool permissions removed 9 of 9 tier 1 Systems behind injection filters 22 Vendors through AI due diligence Stage 04 / 04 / Month 2 onward
Assure 5,600 Attack attempts 14 Expert campaigns 6 Exploit paths found 6 of 6 Closed before relaunch Exploit paths by attack type
Prompt injection in email 3 Data leakage 1 Agent tool misuse 2 Jailbreaks 0 Harmful output 0 Open high severity findings, all systems
15 Month 1 12 Month 2 8 Month 3 5 Month 4 3 Month 5 2 Month 6
Live evaluations Daily on all tier 1 systems
Regression suite Every release, 3,200 attacks
Drift alerts caught 7 in six months
Board assurance Quarterly report, annual independent review Six months later
From unanswerable to evidenced. Before After
AI systems registered 65 of 96 96 of 96
Tier 1 systems red teamed 0 9
Open high severity findings 15 2
Named risk owners 42% 100%
Time to approve a low risk use case 6 weeks 3 days
Corvane Financial is fictitious. All figures illustrate what an engagement reports; none are measured results.
Start where Corvane Financial started. A two week Claude Fable rapid eval on your highest risk systems.