EXPOSURE

Executive Briefing — AI Implementation Risk

What a Failed AI Implementation
Actually Costs Your Organization

Typical failure multiplier

3–5×

of annual tool investment

Organizations at the $15M–$75M scale are committing to AI platforms at an accelerating rate. Most are doing so without a structured readiness assessment. The typical result: the tool underperforms, the team absorbs the gap manually, and the cost of recovery runs 3 to 5 times the original annual contract value.

Illustrative exposure model

Annual platform contract $60,000
Rework & manual remediation (est.) $80,000–$120,000
Lost staff productivity during rollout $40,000–$65,000
Integration remediation $25,000–$50,000
Sunk licensing (months of non-performance) $15,000–$30,000
Total recovery cost (conservative) $180K–$265K

ILLUSTRATIVE — based on a $60K/yr contract at the 3–5× multiplier range.
Scale linearly against your actual contract value. Multiplier increases when
multiple readiness conditions are absent simultaneously.

What standard vendor evaluation does not surface

Whether the process being automated is documented consistently enough to produce reliable output
Whether a named person owns AI output quality — and has the literacy to catch errors
Whether the underlying data is usable, or merely available
The true total cost, including labor, integration, and failure recovery
Contractual exposure in the vendor's data handling and training rights clauses

Five conditions that determine whether the investment succeeds — and what each gap costs

01

The Process Illusion

The process isn't documented consistently. AI automates the variation, not the workflow. Output becomes unreliable immediately — and the team absorbs the gap manually.

0.4–0.8×

of contract / yr

02

The Ownership Gap

No named person owns output quality. Errors propagate until they reach a customer or a decision. Recovery requires tracing every affected output — retroactively.

0.5–1.0×

of contract / incident

03

The Data Mirage

Data exists but isn't clean, consistent, or governed. The AI learns from the errors and produces wrong output systematically — not occasionally.

0.6–1.2×

of contract / yr

04

The Hidden Price Tag

The platform fee is the smallest number. Labor to manage it, integration costs, and exception handling are where the budget actually breaks — and they aren't in the vendor's proposal.

1.5–2.5×

of contract / yr

05

The Fine Print Risk

Data handling terms, training rights clauses, and liability limitations were agreed to without review. Exposure compounds when regulated data or client confidentiality is involved.

variable

legal + reputational

The AI Readiness Diagnostic evaluates all five conditions against your specific process, data environment, and team — before you commit. It produces a scored assessment and a clear proceed, delay, or no-go recommendation. Vendor-neutral. No implementation upsell.

$500

90-min working session

cibicreative.com/contact