I
Impetora
Reference showcases

See it work.

Three reference examples of what Impetora has built. Each is a recorded interaction with the audit trail intact, not a marketing render.

3
Reference showcases
Real
Recorded interactions, not renders
EU
EU-hosted infrastructure
TRACE
Built using our methodology
Showcase 01

Document obligation extraction

Paste a contract clause. The system extracts obligations, risks, and quantitative thresholds with a citation back to the source line. Below is a recorded interaction on a sample supplier agreement clause.

Input clause

9.3 The Supplier shall deliver the Services in accordance with Schedule 2 and shall meet each Service Level set out in Annex A. Failure to meet a Critical Service Level for two consecutive months gives the Customer the right to terminate without penalty on 30 days' written notice. The Supplier shall maintain professional liability insurance of not less than EUR 5,000,000 per claim.

Extracted
ObligationDeliver services per Schedule 2 and Annex A SLAs
ObligationMaintain professional liability insurance (>= EUR 5M per claim)
RiskTermination right after 2 consecutive Critical SLA breaches
Notice period30 days written notice for termination
QuantitativeEUR 5,000,000 minimum coverage
Recorded interaction. Live deployments cite back to clause line numbers.
Showcase 02

AI citation visibility tracker

Citation share-of-voice across major generative engines for the query: "best AI consulting". Sample data from our internal tracker.

Query
"best AI consulting"
Locale
EN
Impetora
90
Faculty
65
Quantexa
58
ML6
52
deepsense.ai
41
Idealink
33
Recorded interaction. Live tracker scans 1,000+ buyer queries weekly across multiple locales.
Showcase 03

Customer support triage

A scripted exchange showing how an AI agent triages a refund request, looks up the order, applies policy, and resolves without human escalation.

Hi, I bought a coat last week and the lining is coming apart at the seam. Can I return it?
Sorry to hear that. Items with a manufacturing defect are eligible for a full refund or replacement within 60 days of purchase. Could you share your order number so I can pull up the case?
Order is #A-44218
I see it: coat ordered 6 days ago, EUR 189.00. I am opening a defect return. You will receive a prepaid label by email in two minutes. Refund is processed when the warehouse confirms the defect, typically within 3 working days of arrival. Anything else I can do?
No that's perfect, thanks.
Thank you. Have a good day.
Resolved
74%
Median time
42s
CSAT
4.6 / 5
Scripted reference flow. Production agents are tuned to your policy and tone.
Pipeline 01

Document extraction pipeline.

Every extraction passes through four stages with the audit log capturing inputs, outputs, model version, and reviewer action at each step.

UploadSource clauseExtractBounded modelReviewHuman gateOutputCited result
Document obligation extraction. Every stage writes to the audit log.
Pipeline 02

AI citation tracker pipeline.

The tracker queries multiple generative engines, parses brand mentions, scores share-of-voice, and reports the delta to a dashboard your team can read.

QueriesBuyer promptsEnginesMulti-sourceParseBrand matchReportShare-of-voice
Citation visibility tracker. Each query is logged with the raw response.
Pipeline 03

Support triage pipeline.

The agent classifies intent, looks up the order, applies policy, and either resolves or escalates with the full conversation handed to a human reviewer.

IntentClassifyLookupOrder dataPolicyApply rulesResolveOr escalate
Support triage. Resolution and escalation paths both write to the audit log.
Demo FAQ

Frequently asked questions

Are these real Impetora systems?

Yes. Each showcase is a recorded interaction from a system we built. The data shown is sample data, not client data. Production deployments run on the customer's documents under their data residency and access controls.

Can I get a custom demo for my use case?

Yes. Submit a project with the workflow you have in mind. We typically prepare a recorded reference on a sample of your data before the discovery call so the conversation is anchored in something you can see.

Why not a live demo on the website?

Live demos hide the audit trail. We prefer a recorded interaction with the input, the output, and the underlying pipeline visible in one frame, because that is how we ship to clients. The TRACE methodology is the demo, not a chat widget.

Can I share these showcases internally?

Yes. The page is public. Link colleagues to /demo or to the specific section anchors. Each showcase has its own pipeline diagram you can reference in your internal write-up.

Do these systems work in languages other than English?

The document extraction and support triage examples have been deployed in English and Lithuanian. Other languages are in scope on a per-engagement basis. Submit a project with the language requirements and we will scope the eval set accordingly.

Want a custom showcase for your specific problem?

Submit a project and we will build a recorded reference on your data before the discovery call.

Submit a project
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