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PositivityTech® AI Risk Algorithms |

Tal Solutions LLC · Intelligence & Research

SaaSNo attestation published

Certification per Microsoft Marketplace.

AI-powered predictive risk algorithmsAI and customer complaintsAlgorithms using customer language
Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 8 captures on record

User ratingNot rated0 reviews on the listing
Runs onSaaSSaaS
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on Microsoft Marketplace.

We find the hidden opportunities in your customers’ complaints.

Integrating AI-powered predictive algorithms with human expertise, the PositivityTech Platform uses customer narrative data to break down complaint language, derive variables, and rank risk.

Show the rest of the publisher’s description (21 more lines)

Click “Contact me” to access PositivityTech’s algorithms and uncover high-risk interactions.

AI Algorithms Key Business Outcomes

· Provide early warnings of customer complaints and illuminate pain points.

· Highlight topics that provide deeper meaning into existing complaints.

· Improve segmentation and offer strategies to get ahead of risks and impact net income.

· Prioritize and adopt actions to inhibit future complaints.

Key Features

The PositivityTech platform’s multiple algorithms reveal potential environmental risks to drive preemptive management actions.

  • Severity Score: A proprietary domain-specific algorithm and lexicon that identifies severe complaints and future risk based on customer narratives.
  • Sentiment Score: An open-sourced algorithm and lexicon that identifies sentiments expressed in customer narratives.
  • Categorization: Consistent and multifaceted grouping of customer complaints provides insights to identify relevant resolutions across all customer touchpoints, from digital to in-person.
  • Bias Index: A tool that identifies prejudice within customer complaints and makes it possible to prevent systemic discrimination.
  • Using PositivityTech’s AI-powered Bias Index, we’ve explored millions of customer complaints and discovered three types of biases — small in number, yet vital to understand.
  • Explicit bias: The customer uses words that indicate they experienced bias.
  • Implicit bias: The customer uses contextual references that imply bias.
  • Suggested bias: The customer describes situations that hint at bias.
  • Triggers: Algorithms that reveal leading indicators of environmental risks, pinpoint timely issues that may require preemptive management actions.
  • Debt Collection Model: Predicts the likelihood of non-payment of debts owed.Our algorithms isolate high-risk customer interactions and help you prioritize where business actions will matter most.

Your customer’s voice is your most valuable asset.

Customers tell you what you need to know. Are you listening?

Transform negatives to positives with PositivityTech, and ensure that complaints become a critical part of your success.

Preview

5 images
PositivityTech® AI Risk Algorithms | preview 1PositivityTech® AI Risk Algorithms | preview 2PositivityTech® AI Risk Algorithms | preview 3PositivityTech® AI Risk Algorithms | preview 4PositivityTech® AI Risk Algorithms | preview 5

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource
License TermsLicense TermsSource

Publisher resources

11 links
PositivityTech® Summary Sheetcatalogartifact.azureedge.netSource
PositivityTech® Algorithms Examplescatalogartifact.azureedge.netSource
PositivityTech® Technical Designcatalogartifact.azureedge.netSource
PositivityTech Algorithms within the PositivityTech Platorm descriptionspositivitytech.comSource
PositivityTech Bias Indexpositivitytech.comSource
PositivityTech Severity Score and Categorization positivitytech.comSource
PositivityTech Trigger Algorithmspositivitytech.comSource
American Banker AI - PositivityTech Highlightspositivitytech.comSource
PositivityTech's Approach to Sentiment Algorithmspositivitytech.comSource
See How PositivityTech Transforms Your Customer Complaints Into Actionable Insightswww.youtube.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
SaaS
https://positivitytech.com/contact/
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