Demo listing. This page uses illustrative seed metadata to demonstrate the Atlas. Claims shown here are not verified product facts.
Tensight
Brand experience governance for the tension era—scoring physical–digital experiences, disclosing algorithmic decisions, registering ethics…
Brand experience governance for the tension era—scoring physical–digital experiences, disclosing algorithmic decisions, registering ethics stances, and running trust design reviews before launch.
Last verified 15 Sept 2026 · Updated 23 Sept 2026 · Metadata v4
Problem
Brand and CX governance teams in CPG, retail, and financial services whose 2018+ experiences span invisible digital enablers, algorithm gatekeepers, and public values stances—and whose reviews still treat these as separate slide decks.
Outcome
A design-complete foundation in the active pipeline — engineering scaffold planned to complete this month.
Who uses it
- Operations Analyst
- Solution Architect
Key capabilities
Capabilities are defined during customer configuration.
Typical workflow
Primary operating flow
Trigger: An operator starts the primary use case
Task
Stage 1: Capture inputs
Operator
AI-assisted
Stage 2: Assist with draft
System
Human checkpoint
Stage 3: Human approval
Approver
Task Automated AI-assisted Human checkpoint Decision
About this foundation
An operating system for Fjord Trends 2018’s meta-theme of Tension. Not another trend newsletter: Tensight turns the seven tensions into governed experience scores, transparency disclosures, ethics-stance registers, and design-craft reviews that marketing, legal, and product must clear together.
Related applications
- Clearbid
Cost-per-action advertising exchange that settles media spend only against mutually verified conversions, so performance advertisers stop…
- • Addresses the same problem: Manual Workflow, Fragmented Systems
- • Shared capabilities: Workflow Automation, Document Intelligence
- Threshwork
Automation portfolio control plane for content operations that scores every review queue, sets the confidence threshold at which a machine…
- • Addresses the same problem: Manual Workflow, Fragmented Systems
- • Shared capabilities: Workflow Automation, Document Intelligence
- Actcompass
Social customer-care cockpit that labels each Twitter (X) turn with fine-grained dialogue acts in real time and predicts satisfaction,…
- • Addresses the same problem: Manual Workflow, Fragmented Systems
- • Shared capabilities: Workflow Automation, Document Intelligence
- Allocurve
Forecasts segment-level sales response with semi-black-box logit curves and allocates marketing budget under cost, profit, or ROI…
- • Addresses the same problem: Manual Workflow, Fragmented Systems
- • Shared capabilities: Workflow Automation, Document Intelligence
- Aspectplate
Aspect-based restaurant reputation platform that derives star ratings for ambiance, cost, food, hygiene, and service from review text and…
- • Addresses the same problem: Manual Workflow, Fragmented Systems
- • Shared capabilities: Workflow Automation, Document Intelligence
- Baguprice
Sets session-specific prices for airline ancillaries (bags, seats, meals) by estimating purchase probability and maximising expected…
- • Addresses the same problem: Manual Workflow, Fragmented Systems
- • Shared capabilities: Workflow Automation, Document Intelligence
Primary operating flow
Trigger: An operator starts the primary use case
Task
Stage 1: Capture inputs
Operator
AI-assisted
Stage 2: Assist with draft
System
Human checkpoint
Stage 3: Human approval
Approver
Actors
Operator, Approver
Outputs
- Completed work item
Evidence generated
- Audit trail
Exceptions
- Incomplete inputs returned to operator
Task Automated AI-assisted Human checkpoint Decision
Included ships in the foundation · Configurable is switched or tuned per customer · Extension is customer-specific build scope · Planned is on the roadmap and not available today.
Core workflow
AI-assistedPlannedPrimary operating workflow for this foundation.
Document intelligence
AI-assistedPlannedExtract and ground decisions from operating documents.
- Architecture class
- Domain-driven design, OpenAPI-first
- Bounded contexts
- 3
- API-first
- Yes — OpenAPI contracts are authoritative
- Identity
- Enterprise OIDC / SAML via the fazeZERO identity blueprint; tenant-aware role-based access.
- Multi-tenancy
- Tenant-aware
- Service boundaries
- Bounded contexts behind one API server.
- Integration approach
- Ports-and-adapters: every external system sits behind an adapter; OpenAPI contracts for inbound APIs.
- Eventing
- Integration events via transactional outbox.
- Storage abstraction
- Repository interfaces; DynamoDB or relational adapters.
- Deployment pattern
- Containerized API + web application; infrastructure as code per cloud profile.
- Architecture version
- 1.0
Approved domain names
- identity
- catalog
- workflows
- Web Application
- API Server
- Application Services
- Domain / Generated Core
- Adapters
- Customer Systems
Generator source, templates and factory orchestration are proprietary and are not part of this listing.
Reference Adapter: shipped and tested · Previously Integrated: delivered before · Standard API Pattern: integrates via a documented pattern · Customer-Specific: built in your implementation.
APIs
| Integration | Status | Direction | Method |
|---|---|---|---|
| Customer systems of record | Standard API Pattern | bidirectional | REST API |
Deployment
- Deployment models
- Customer Cloud, Private Cloud
- Cloud profiles
- Azure Profile, Cloud-Neutral
- Containerized
- Yes
- Regions
- GLOBAL
Cloud profiles describe approved deployment patterns. They are not formal marketplace certifications.
Data handling
- Stores customer data
- Configurable
- Data leaves customer environment
- Configurable
- Uses external AI provider
- Configurable
- Sends logs externally
- No
- PII expected
- Determined during customer configuration
- Data-residency support
- Yes
- Subprocessors required
- Determined during customer configuration
Identity & access
- Authentication
- OIDC, Entra ID, SAML
- Authorization
- Role-Based, Tenant-Aware
- Source availability
- Proprietary
Support
- Implementation
- Delivered by fazeZERO or a certified partner during the Solution Definition and AI Production Sprints.
- Production support
- Production support available under a separate support agreement.
- Contact
- support@fazezero.com
Badges
fazeZERO Verified
Listing metadata and published technical claims have been reviewed by fazeZERO.
Issued 23 Sept 2026
Evidence shows that this listing represents real engineering. Internal metrics are only published when fazeZERO has approved them for publication.
Build
Automated tests
Deployment validation
- Last verification
- 15 Sept 2026
- Release
- 1.0.0
- Architecture version
- 1.0
- Listing metadata version
- 4
- Last published
- 23 Sept 2026