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AI Proof: Faster, Cheaper, More Accurate Data Management

CluedIn AI Agents have been benchmarked against human data stewards across hundreds of real-world tasks, from deduplication and data quality fixes to enrichment and tagging.

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Automated-data-integration

Low-code data integration

Finally, a Master Data Management platform that anyone can use. OpenAI integration lets any business user master data without technical expertise - just type a plain language prompt, hit enter and it's done. 



In controlled tests, AI Agents delivered:

133x
faster

449x
cheaper

98%
accuracy

10M+
rows scaled

Method

Tasks included deduplication, validation, enrichment, anomaly detection. Each run recorded Skill, Model, Rows/Columns, Time, Cost, and Quality.

Controls

Human benchmarks used standard steward procedures. Agents ran with governed settings and identical datasets.

Models

OpenAI GPT‑4.1 family with deep-thought and parallelization enabled; pricing per token sourced from official schedules.

Find duplicates

100 tests for the Find Duplicates skill. Agents delivered ~127–133× faster and ~102× cheaper runs vs. human workflows.

Median time per job

133x faster


Agent 27.36s

Human 3,627.36s

Mean time per job

127x faster


Agent 28.59s

Human 3,628.59s

Mean cost per job

102x cheaper


Agent $0.53

Human $54.26

Proven across core data management tasks

CluedIn AI Agents don’t just deduplicate. They’ve been benchmarked across a range of everyday data management tasks and consistently outperform human stewards on speed and cost, while maintaining high-quality outcomes.

Enrich Data

48x faster

449x cheaper


CluedIn AI Agents enrich records with additional attributes from internal and external sources, such as industry, region, segment, or risk flags.

Across our enrichment benchmarks, AI Agents completed enrichment jobs around 48× faster and over 400× cheaper than humans, turning enrichment from a slow, expensive task into an almost instant operation.

Fix Data Quality Issues (Rule-Based)
 

182x faster

1,640x cheaper


CluedIn AI Agents automatically generate and apply data quality rules to repair inconsistent, invalid, or out-of-range values.

In benchmark tests, rule-based data quality fixes were completed over 180× faster and more than 1,600× cheaper than manual remediation, delivering clean, reliable datasets in seconds instead of hours.

Fix Data Quality Issues (Freeform)

44x faster

77x cheaper


Not all data quality issues can be captured as simple rules. CluedIn AI Agents can also tackle freeform fixing tasks, spotting and correcting issues such as malformed values, inconsistent formats, and obvious errors.

In benchmark tests, freeform fixes were completed around 44× faster and over 75× cheaper than manual remediation, dramatically reducing the backlog of low-level data clean-up work.

Tag Records

62x faster

145x cheaper


CluedIn AI Agents apply tags and classifications to records, such as category, sensitivity, lifecycle stage, or compliance status.

 

In benchmark tests across multiple datasets, AI Agents tagged records over 60× faster and more than 140× cheaper than manual classification, while maintaining highly consistent tagging behaviour.

Create Data Validation Rules

32x faster

86x cheaper


CluedIn AI Agents can propose data validation rules from real datasets — for example, expected patterns, ranges, or required values.

 

In benchmark tests, AI-generated validation rules were produced around 32× faster and over 85× cheaper than human-authored rules, dramatically reducing the upfront effort required to operationalise good data quality.

In All Tests CluedIn Agents were:

Consistently faster. Consistently cheaper. Consistently governed


Across these core data management tasks, CluedIn AI Agents completed jobs tens to hundreds of times faster than human data stewards, at a fraction of the cost, while operating inside a governed, auditable, and reversible framework.

Benchmarks
Benchmarks were run on real-world style datasets, comparing human data stewards with CluedIn AI Agents for the same tasks.

Metrics
Metrics shown (e.g. “× faster”, “× cheaper”) are based on average time and cost across multiple tests per skill.

Definition
"Cheaper" reflects estimated human labour cost vs AI usage cost at the time of testing.

Variance
Real-world results may vary depending on data complexity, configuration, and integration.

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We have quantifiable evidence that data can manage itself - faster, cheaper, and safely. 

Tim Ward, Chief Executive Officer

What the data shows

100s of tests for the AI Agents skills were up to 133× faster and 449× cheaper runs vs. human workflows.

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Speed at scale

Average 84× faster than human processes; multi-million row jobs complete in minutes, not days.

Quality & precision

Agents match or exceed human precision; continuous learning improves results with every approval.

Cost efficiency

Average 416× cheaper per task. The most typical runs reported ~$0.13 vs ~$1,000 for equivalent human effort.

Governed autonomy

Every action is logged, explainable, and reversible - autonomy with enterprise control.

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Scale without scale

Manual data management can’t keep up with business or AI velocity. CluedIn agents handle millions of records in parallel - continuously improving quality and context.

Scale 100x faster without scaling headcount.

The resource drain

Data teams spend most of their time cleaning and maintaining data. CluedIn agents automate the grunt work - detect, fix, enrich - so teams focus on strategy.

Free your experts to deliver insight, not maintenance.

Rising cost, falling ROI

Traditional MDM is expensive and slow to prove value. CluedIn autonomous agents deploy in minutes and cost cents per run.

$0.13 vs $1,000 per job - measurable impact from day one.

Fragmented systems, fragmented truth

Data lives across clouds and apps, breaking consistency and governance. CluedIn agents unify and govern data across all platforms - enforcing global rules locally.

A single, trusted layer across your data landscape.

Data quality blind spots

Even ‘good’ data hides silent errors that undermine AI. CluedIn agents continuously validate, enrich, and learn from feedback.

Data that gets smarter every day - and AI you can trust.

Governance at scale

Automation often introduces compliance risk. CluedIn agents are governed by design - every action is logged and explainable.

Autonomous, auditable, and compliant by default.

The AI readiness gap

AI fails without complete, current, trusted data. CluedIn agents continuously prepare and enrich data to feed copilots and models.

AI that performs as promised - powered by data you can depend on.

What leaders are saying

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Run CluedIn. 
Scale the impossible.

Your first AI Agent in 60 seconds. 
See what your data’s been hiding.



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