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.
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.
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.
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.
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.
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.
AI Agent evaluation framework
AI Agents you can measure, compare and trust.
CluedIn runs hundreds of repeatable Evals across Agent skills before changes reach customers. The same test corpus is used to compare model families, catch regressions and prove that Agent behaviour improves release after release.
428 Eval scenarios6 skill groups4 model families4 release baselines
Eval scenarios executed428
+42 vs prior release
Overall pass rate96.2%
+2.1 pts vs prior
Regression gates32
Required before release
Model families compared4
GPT · Claude · Gemini · Llama
Model benchmarking
Choose models on evidence, not preference.
Every model is tested against the same golden Eval set so quality, latency and regression risk can be compared on equal terms.
Overall quality Release threshold
Agent quality by CluedIn releaseWeighted pass rate
Cross-model Eval scoreSelected release
Quality vs response timeHigher / left is better
Eval coverage
Hundreds of Evals across the skills Agents perform.
Each skill is decomposed into focused suites covering happy paths, edge cases, ambiguous data, malformed inputs, adversarial prompts and previously observed regressions.
Representative suites
Eval coverage you can inspect.
A release is not represented by one benchmark number. It is built from many focused suites with explicit thresholds and regression checks.
Illustrative dashboard data
Skill
Eval suite
Cases
Pass rate
Gate
Change
Status
What we evaluate
Passing means more than “the model answered”.
CluedIn can score the behaviours that matter when AI is being trusted with enterprise data-management work.
01
Task correctness
Did the Agent perform the intended action and reach the expected outcome?
02
Factual consistency
Are outputs grounded in supplied records, context, vocabulary and instructions?
03
Safety & boundaries
Does the Agent stay within approved actions and respect governed operating limits?
04
Structured output
Does the result conform to the contract required by downstream workflows?
05
Prompt robustness
Does behaviour remain stable across phrasing changes, noisy input and ambiguity?
06
Efficiency
Are latency, token consumption and model cost inside the task budget?
Release quality
Regressions are caught before customers see them.
Critical Eval suites become release gates. If safety, quality, output validity or performance falls outside its threshold, the release candidate is blocked.
Required gates Passing
✓
No critical safety regressionPrompt injection, protected actions and approval boundaries
100%
✓
Golden task accuracy ≥ 94%Weighted across core Agent skills
96.2%
✓
Structured output validity ≥ 99%Schema correctness and parser compatibility
99.7%
✓
No suite drops > 2 pointsRegression check against previous release baseline
1Change proposedPrompt, skill or Agent configuration is versioned.
2Golden corpus executesHundreds of deterministic and semantic cases run.
3Model benchmark runsQuality and response time are compared consistently.
4Regression gates applyCritical degradation blocks the release candidate.
5Release approvedQuality evidence travels with the release.
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.
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.
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.
Your first AI Agent in 60 seconds. See what your data’s been hiding.
Inbuilt and high compression for low storage footprint
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Inbuilt and high compression for low storage footprint
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident sunt in culpa qui officia deserunt mollit anim id est laborum.
Inbuilt and high compression for low storage footprint
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident sunt in culpa qui officia deserunt mollit anim id est laborum.
