Case Study

TQ Solutions: 91.2% of AI spend
identified as recoverable.

A TokenomicsIQ diagnostic on a live Future of Work consulting practice. 4 ranked inefficiencies. Efficiency score 0.9 out of 10. Here is what the report found and how TQ Solutions is acting on it.

Recoverable Spend
91.2%
Of current monthly AI outlay
Efficiency Score
0.9 / 10
Critical — immediate action flagged
Ranked Findings
4
Across 3 active workflows · 47-day period
Company
TQ Solutions
Industry
Future of Work & Workforce Research
Analysis Period
26 Mar – 12 May 2026 (47 days)
Report Generated
29 July 2026
Efficiency Score

Score 0.9: Critical

TQ Solutions' usage data scored 0.9 out of 10 on the TokenomicsIQ efficiency scale. A score in the Critical range means the majority of AI spend is attributable to structural patterns that can be fixed without changing the underlying workflows or their outputs. The lower the score, the higher the return on implementing recommendations.

Where TQ Solutions sits
Critical
Significant Waste
Moderate
Optimised
0 – 2.5
2.5 – 5.0
5.0 – 7.5
7.5 – 10
Score 0.9 Critical: 91.2% of spend is structurally recoverable

A Critical score does not mean the AI tools are wrong or the workflows are failing. It means the implementation patterns have not yet been optimised, which is normal at an early stage of AI adoption. The finding is that 91.2% of current spend can be recovered through 4 specific structural changes, without altering what any of these workflows produce.

Inefficiency Analysis

4 inefficiencies. Ranked by saving potential.

Each finding is ranked by the percentage of monthly spend recoverable through that fix. Difficulty reflects the estimated engineering effort to implement the change.

# Pattern & Workflow Saving Rate Difficulty
1
System Prompt Bloat
HR Service & Operating Model Planning workflow
47% Low
2
Agent Loop Redundancy
HR Service & Operating Model Planning workflow
100% Medium
3
Prompt Cache Miss
Talent Marketplace Research workflow
45% Medium
4
Prompt Cache Miss
Market Trends Visual workflow
56% Medium
Finding 1 in detail: System Prompt Bloat

On 43 of 46 requests in the HR Service & Operating Model Planning workflow, prompt tokens exceeded 30% of total tokens per call. The average prompt share was 93%, meaning the system prompt alone was consuming nearly all the token budget on every request. A lean system prompt is typically 10 to 20% of tokens per call. Trimming accumulated instructions and injecting edge-case guidance conditionally is a 0.5 to 1 day fix that removes the waste without any measurable difference in output quality. This single change accounts for 52% of total identified savings.

Finding 2 in detail: Agent Loop Redundancy

19 API calls were made in quick succession (within 60 seconds) on the same workflow with near-identical content. This is the classic agent loop signature: retries, parallel sub-tasks that duplicate work, or polling via full API calls. Each redundant call is billed in full at 100% waste. A lightweight deduplication cache or prompt-caching guard resolves this in a 2 to 3 day implementation, with no change to workflow outputs.

Verdict

TQ Solutions' highest-impact action is to audit and compress the system prompt on the HR Service & Operating Model Planning workflow. This single change accounts for 52% of total identified savings and can typically be implemented in under a day.

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