Research Translation Assistant
Supports literature review and research synthesis.
INDEPENDENT AI TRUST INTELLIGENCE
Navigate AI. Build the right system. Keep it trustworthy.
ETHORITY helps organizations choose, understand and operate AI across vendors, systems and change—using source-linked intelligence, customer context and evidence without letting any AI vendor define the trust position.
Explore first or start with your own AI situation. See what is known, what remains uncertain and what to do next without confusing vendor information with customer evidence or Verification.
AI estate / Northstar ResearchContext snapshot · 08 Aug 2026
ORGNorthstar ResearchOrganization context
MODELAtlas language modelProvider relationship
PROVIDERExternal AI providerDeclared dependency
OWNEROwner unresolvedAttention required
EVIDENCE2 sources attached1 item still missing
PRIORITY 01
Assign accountable owner
The system has a known purpose and provider relationship, but accountability is unresolved.
- Affected
- 1 AI system
- Evidence basis
- 2 sources
- Next action
- Assign owner
MONITORED CONTEXT CHANGEDProvider relationship updated · review may be required
ETHORITY · TRUST POSITIONSYNTHETIC / REPRESENTATIVE PREVIEW
Needs reviewORGANIZATION
Northstar AI estate
Executive view · effective 14 August 2026
ASSURANCE READINESSNot readyMaterial evidence gaps remain
- Microsoft CopilotMicrosoft · Internal productivityDOCUMENTED
- ChatGPT EnterpriseOpenAI · Intended use needs confirmationNEEDS REVIEW
- Customer support agentInternal · Customer communicationCHANGED
- 3 additional systemsKnown scope · mixed evidence posture2 GAPS
- Established context
- 18 supported factsProvider, system and ownership context
- Material unknowns
- 3 unresolvedIntended use and sensitive-data handling
- Evidence posture
- 12 current · 4 gapsOne connected item is stale
- Changes requiring review
- 2 materialVendor documentation and expanded use
- Owner
- AI Governance LeadCustomer-confirmed accountable function
- Next action
- Review prepared contextConfirm use and refresh policy evidence
MATERIAL ATTENTIONWhy this position needs review
- Vendor/model documentation changedEvidence freshness needs review
- AI use expanded into customer communicationIntended-use context requires confirmation
- Policy evidence predates current system stateGovernance review recommended
EXPLORE AISee what models, datasets, tools and research existSearch public source intelligence and inspect where it came from.→PLAN / BUILD AITurn an AI idea into requirements, options and gapsStart with an internal document-agent example and keep the project context.→ASSESS MY AIUnderstand the AI your organization already usesSee the €495 assessment, what it includes and what happens next.→
THE CUSTOMER PROBLEM
AI decisions are moving faster than the evidence around them.
Organizations use models, agents, vendors and AI-enabled products across teams. The facts, owners, obligations and evidence needed to govern them are usually scattered—or still unknown.
Fragmented context
System facts, vendor claims, ownership and use context live in different places.
Unclear position
A score or inventory cannot explain what is established, missing, conflicting or stale.
Disconnected action
Teams struggle to connect material findings to evidence, owners and the next governed step.
BUSINESS VALUE
Make better AI decisions without rebuilding the evidence every time.
ETHORITY gives management, technology, governance and procurement teams one independent view across providers and organizational systems.
Choose AI better
Compare sourced possibilities, limitations and material unknowns before a build or buying decision.
See cost and dependency exposure
Identify overlapping tools, unclear ownership and vendor concentration so teams can investigate duplicated effort without invented savings claims.
Stay in control as AI changes
Keep evidence gaps, accountable next actions and material change visible across the AI estate.
WHAT BRINGS YOU HERE?
Start with the question already on your mind.
Choose the perspective closest to your problem. These cues lead into the existing Discover foundation; they do not create separate assessments or persona sites.
- 01 · LeadershipAre we actually in control of the AI we're using?→
- 02 · AI / TechnologyWhat systems, models and agents are actually in our estate?→
- 03 · Governance / RiskWhat applies, what evidence exists, and what's missing?→
- 04 · Procurement / Vendor RiskCan we safely govern this AI provider in our intended use?→
- 05 · System OwnerWhat changed, what matters, and what do I need to do next?→
PUBLIC + PRIVATE TRUST INTELLIGENCE
Begin with what can already be known. Ask only for what is still missing.
ETHORITY brings public intelligence, your organization context and available evidence into one bounded view. It preserves provenance and uncertainty instead of promoting every source into truth.
Public context
Registry identity, official documentation and publicly documented facts provide orientation—not customer-specific trust.
Private context
Your systems, relationships, evidence and prior answers stay within the authorized customer boundary.
Governed interpretation
ETHORITY explains what the available context means, what remains unresolved and what should happen next.
A REPRESENTATIVE ETHORITY WALKTHROUGH
See a fragmented AI estate become a governed next-action path.
Synthetic demonstration. The entities and states below illustrate the operating model; they are not observations of a real customer.
REPRESENTATIVE PRODUCT WALKTHROUGH
Synthetic state · no customer observation01FRAGMENTED AI ESTATE
- AI productMicrosoft CopilotDOCUMENTED
- AI productChatGPT EnterpriseNEEDS REVIEW
- ProviderAI-enabled vendorDOCUMENTED
- Private systemInternal AI systemOBSERVED
- AgentAgentMISSING EVIDENCE
- UnknownUnknown / shadow AINEEDS REVIEW
One bounded truth view
- Public intelligence
- Private customer context
- Evidence + provenance
Uncertainty stays visible
KNOWNIdentity + public context
UNKNOWNIntended use
MISSINGCurrent policy evidence
CHANGEDVendor documentation
Needs review
Established context, material gaps and change are resolved into one explainable position.
- Systems
- 6
- Attention
- 3
Owner review required
Confirm intended use and refresh the stale evidence item.
No autonomous Decision or ActionONE CONNECTED CUSTOMER JOURNEY
From first question to a living Trust Position.
Each step reuses context and evidence. Missions change the route and emphasis; they do not create separate questionnaire engines.
- 01KNOWStart from sourced public context and your AI estate.
- 02ESTABLISHFocus the mission and establish what is still unknown.
- 03GOVERNBuild a living Trust Position around material context.
- 04ACTContinue through evidence, owners and governed action.
- 05MONITORReview change and reassess controlled scope.
- 06VERIFY / ASSUREPrepare eligible evidence for independent assurance.
PAID ENTRY PRODUCT · EUR 495
ETHORITY Trust Diagnostic
An evidence-aware starting point that identifies your context, reuses what is already known and focuses effort on the most material unresolved questions.
WHAT YOU RECEIVE
- Executive Trust Position
- AI estate and evidence snapshot
- Material findings and key unknowns
- Priority actions and a 30 / 60 / 90-day path
- Clear continuation into Workspace
It is not a compliance quiz, legal opinion, certificate or automatic Verification.
REPRESENTATIVE DIAGNOSTIC EXAMPLE
Microsoft Copilot is used internally.
ETHORITY starts from available context, then asks only for the material facts that public documentation cannot establish.
- ETHORITY already knows
- Provider identity, public product context and relevant public documentation.
- Still required
- The intended use and whether personal or confidential data enters the workflow.
- Outcome
- Prepare only the material unresolved questions for customer confirmation.
FLAGSHIP MISSIONS
Start with the question in front of you.
Two initial Missions establish routing and context for the same adaptive Trust Diagnostic engine.
AI Governance Diagnostic
Understand your AI estate, ownership, evidence and governance starting point.
Explore AI Trust →EU AI Act Diagnostic
Establish relevant organizational and system context without claiming an automatic legal conclusion.
Explore AI Trust →THE CONTINUING PLATFORM
The Diagnostic is a beginning, not a PDF dead end.
Continue in one operating environment where Trust Position, governance work, evidence and controlled reassessment stay connected.
- 01
Trust Workspace
Your private operating environment for AI Estate, Governance, TrustOps, Reports & Assurance, and Team & Access.
- 02
TrustPackages
Composable governance products that reuse shared applicability, controls, obligations and evidence.
- 03
TrustOps
Controlled change intelligence and reassessment. Production-wide autonomous operations are not active.
REPRESENTATIVE MATERIAL-CHANGE PATH
Prepared review · no autonomous remediationCHANGE SIGNALMicrosoft Copilot product documentation updatedSynthetic example · 14 August 2026
- 01CHANGEProvider/model change detected
Candidate change from sourced context
- 02SCOPEAffected AI system identified
Authorized customer relationships resolve relevance
- 03EVIDENCEOne evidence item is stale
Freshness needs review; stale does not mean false
- 04REVIEWControl / obligation review prepared
No applicability or legal determination is made
- 05OWNEROwner attention requested
No autonomous Decision, Action or remediation
- 06POSITIONTrust Position refresh path
Reassessment follows the authorized workflow
PUBLIC TRUST INTELLIGENCE
Explore documented AI context before you provide your own.
Discover providers, models, systems and agents through public-safe identity, sourced facts, provenance and explicit uncertainty. A public projection can inform discovery; it cannot establish customer use, applicability, Trust Position or Verification.
PUBLIC INTELLIGENCE · REPRESENTATIVE
Public projection · not a customer Trust PositionOFFICIAL DOCUMENTATIONProduct documentationSource URL · retrieved date · content hash
PUBLIC FACTSSupported identity + relationshipsDocumented, not independently verified
RELATED GOVERNANCE CONTEXTRelevant orientationNo automatic customer applicability
Explainable public context
- Sources
- 3 official
- Relationships
- 3 supported
- Unknowns
- Visible
Provenance stays attached. Customer use, evidence, applicability and Verification remain outside this public projection.
VERIFY / ASSURE
Prepare evidence for assurance without blurring the boundary.
Evidence can support Verification. A score, official source, signature, Registry publication or monitoring event cannot create Verification by itself.
01Eligible scopePurpose and boundary are explicit
02Evidence basisSources and gaps remain traceable
03Verification authorityOnly ETHORITY Verification determines verification state
04AssuranceCommunicate the bounded outcome
METHOD + PROVENANCE
Trustworthy guidance begins with source discipline.
Customer-facing findings distinguish external authority, vendor documentation, research, customer evidence, ETHORITY observations, interpretation and authorized Verification.
Read the ETHORITY methodologyOfficial sourceEU Artificial Intelligence Act(opens in a new tab)
ETHORITY interpretation
Interpretation is clearly separated from the official text and from customer applicability.
Observed by ETHORITY
An observation records what was seen within a stated scope and time.
BUILT FOR PRACTICAL GOVERNANCE
Clear enough to start. Deep enough to continue.
ETHORITY gives smaller organizations a practical first step and gives enterprise teams an evidence-aware path across systems, roles and assurance.
Begin without a dedicated AI governance team.
Start for EUR 495, pay by invoice or supported checkout, and receive a governed next-action path rather than a six-month consulting project.
Connect portfolio context to accountable governance.
Continue across multi-system scope, evidence, roles, procurement and assurance while preserving private boundaries and auditability.
YOUR FIRST GOVERNED STEP
Establish what you know—and what matters next.
Start with the EUR 495 ETHORITY Trust Diagnostic or talk to ETHORITY about enterprise scope.