LEAF Advisory · Intelligence Unlocked

Ask the question. Trace the answer to the evidence.

Decisions become stronger when the evidence behind them remains visible. Intelligence Unlocked works with your teams to investigate a specific question using authorized public, licensed, specialist and client-provided sources.

AI helps search, structure, translate and connect the material. Analysts decide what matters, verify key findings and turn the evidence into an assessment that states its sources, confidence and gaps.

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Analyst
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Animation: a question is framed and scoped; evidence flows in from four distinct source categories, is structured by AI into an entity map, verified by an analyst against independent sources, and delivered as a brief with confidence and source labels.

What it is

Sourced evidence, turned into a decision-ready assessment.

Intelligence Unlocked is the decision intelligence capability of LEAF Advisory. It is not an OSINT feed or a monitoring tool: it is research around a question that matters to a decision.

Every engagement begins with a specific question and an agreed purpose. Sources, entities, time horizon, permitted source categories and expected outputs are defined before collection starts.

Start with the question. Keep the evidence attached.

Start with the question

Collection follows scope, not curiosity.

The question decides what is collected, from where and for how long. Illustrative examples:

  • Should we work with this partner?
  • What is changing around this organization?
  • What evidence supports this market claim?
  • What technologies is this competitor investing in?
  • Where does this narrative originate?
  • What can we substantiate about this exposure?

Illustrative questions, not fixed engagement scopes.

Agreed before collection

  1. Purpose
  2. Entities
  3. Time window
  4. Source categories
  5. Legal basis
  6. Retention
  7. Outputs

Nothing is collected before these are agreed with your team.

Four source categories

Not everything is open-source intelligence.

Each finding is labelled with its source category, because reliability, terms of use and how the content may be shared differ between them.

  • Public

    Public OSINT

    Publicly accessible websites, news, public registers, corporate filings, publications, patents, standards and public social content where relevant to the agreed question.

    Visible online does not mean fair game: source terms, purpose and legal basis still apply.

  • Licensed

    Licensed sources

    Commercial databases and other information legitimately licensed for the engagement and used within their contractual terms.

    Never presented as public or open sources.

  • Specialist

    Specialist threat-intelligence feeds

    Feeds from specialist providers, used when the question concerns security exposure, threats or incidents.

    Only when provider access and use are authorized for the engagement.

  • Client

    Client-provided sources

    Documents and datasets your organization is authorized to provide for the agreed purpose.

    Access, retention and scope are defined per engagement.

Acquisition and use depend on authorization, licence conditions, source terms and the applicable legal basis. Access to closed databases or breach data is not promised.

Questionscope agreed firstPublicLicensedSpecialistClientEvidenceAI-assisted analysissearch · translate · extract · clusterAnalyst checkverify · corroborate · assessSourceConfidenceGapAssessmentDecision

How the evidence is built

Every material finding carries its own provenance.

Findings are not a pile of search results. Each material finding is recorded with the elements needed to judge it.

A material finding carries

Claim
What is being asserted.
Source
Where it comes from.
Source category
Public, licensed, specialist or client.
Date
When it was published or collected.
Confidence
A stated, qualitative level, never a percentage.
Corroboration
Whether independent sources support it.
Known gaps
What could not be established.

Confidence is an analyst judgement recorded with its reasons, not a universal score applied to every raw source.

AI output is a starting point for analysts, never a finding in itself.

A model can surface, translate and connect material. It cannot decide what is true.

Conflicting evidence is a finding too.

When credible sources disagree, the disagreement is preserved and reported instead of being forced into a single narrative.

Absence of information is not evidence of absence.

Not finding something in the sources investigated is reported as a gap, never as proof that it does not exist.

How we work

Scope. Gather. Analyze. Verify.

  1. 01/ Scope

    Frame the question together

    Agree the purpose, entities, decision, legal basis, permitted source categories and outputs with the team that owns the question.

  2. 02/ Gather

    Collect what is relevant

    Retrieve information only from the agreed source categories, recording its source and when it was obtained.

  3. 03/ Analyze

    Structure the material

    Use AI-assisted methods to normalize, translate, identify entities, cluster, compare and summarize, so analysts can work across more material.

  4. 04/ Verify

    Test the important findings

    Corroborate key claims, compare independent sources, assess reliability, identify conflicts and state uncertainty, then discuss the implications with your team.

AI assists with

  • search
  • translation
  • entity extraction
  • clustering
  • classification
  • summarization
  • relationship discovery

Analysts remain responsible for

  • relevance
  • verification
  • source assessment
  • interpretation
  • conclusions

Automation may assist collection and analysis. Conclusions remain analyst-verified.

Provenance

A finding you can inspect, a map you can trace.

Two common ways findings are shared: a finding card with its sources, confidence and gaps, and an entity map where every link points back to evidence.

Finding

Organization A has announced a second production site for Technology X.

Sources

  • Source 01 · company filing
  • Source 02 · patent record
  • Source 03 · trade-press interview
Confidence
Moderate
Corroboration
Two independent sources
Conflict
Source 03 reports a different capacity
Gap
Start date not verified
Illustrative example with fictional data.

Organization A

  • supplierOrganization B2 sources
  • executivePerson in a public role1 source
  • patentTechnology X3 sources
Illustrative entity map with fictional entities.

Questions we help answer

Where decision intelligence is used.

Competitive & market context

How competitors and new entrants position themselves, what they announce, hire for and patent, and what that suggests about their direction.

Due diligence support

Research support for evaluating organizations such as partners, suppliers or investment targets, proportionate to the decision. Not formal financial or legal due diligence.

Technology & research monitoring

Following publications, patents, standards and early products in a defined area, with defined entities, cadence and sources.

Reputation & narrative context

How an organization, product or topic is discussed in public sources, and where that discussion originates.

Security exposure context

Supporting your existing security team by combining authorized threat-intelligence feeds with public information to understand an exposure.

Strategic research

Structured, sourced research on a specific topic for leadership, strategy or innovation teams that need evidence rather than opinion.

Illustrative patterns, not descriptions of specific client engagements.

From evidence to decision

Evidence is useful when it changes the decision.

The work does not stop at collection. The assessment connects each important finding to what it means, the options it opens or closes, the questions that remain open and the next step your team can take.

  1. Finding
  2. Implication
  3. Option
  4. Open question
  5. Next step

Boundaries

Proportionate, organization-focused, defensible.

Intelligence work is only useful if it can be defended. These boundaries apply to every engagement.

Personal data

Intelligence work involving personal data must remain necessary and proportionate to the agreed purpose and supported by an applicable legal basis, assessed with you. The GDPR is the framework we work within, not a certification.

Organizations first

The work focuses on organizations. Individuals appear only as people acting in relevant public or professional roles, where the engagement supports it. No private-person profiling or intrusive personal surveillance.

No breach data

Access to breach data is not promised. We do not buy leaked credentials or access stolen databases.

Security context, not a SOC

Security exposure work supports your existing security team. It is not a SOC, SIEM, EDR or penetration-testing service.

Scoped monitoring

Periodic monitoring is an output only where scoped, with a defined topic, entities, cadence and sources. It is not a real-time monitoring platform.

Working environment

The working environment is agreed according to the material, requirements and engagement. Sensitive analysis can be carried out within architectures designed around your security, residency and infrastructure requirements.

Outputs

Agreed per engagement.

Outputs are agreed per engagement and reviewed with your team as the work progresses.

  • Intelligence brief

    A focused answer to the question, with key findings and confidence.

  • Sourced research dossier

    The underlying material, organized and referenced.

  • Due diligence summary

    Relevant findings on an organization, with open points to clarify.

  • Entity & relationship map

    Organizations, people in public roles and their documented connections.

  • Monitoring summary

    Periodic updates on a defined topic or set of entities.

Limits

What intelligence can and cannot tell you.

Intelligence reduces uncertainty. It does not eliminate it.

  • Public information may be incomplete.
  • Licensed information may be outdated.
  • Sources can be wrong or intentionally misleading.
  • Absence of evidence is not evidence of absence.
  • Correlation does not establish causation.
  • AI-generated interpretations require verification.
  • Confidence is not certainty.
  • Source availability can change.
  • Findings apply to the scope and time window investigated.

FAQ

Questions & Answers

Common questions about Intelligence Unlocked.

Ask Us Anything

The decision intelligence capability of LEAF Advisory. We frame a specific question with your team, research it across authorized source categories with AI assistance, have analysts verify the key findings and turn them into an assessment that states its sources, confidence and gaps.

No. Public OSINT is one of four source categories. The others are licensed sources, specialist threat-intelligence feeds where authorized, and client-provided sources. They are kept distinct because they differ in reliability, terms of use and how their content may be shared.

Public OSINT, licensed sources used within their contractual terms, specialist threat-intelligence feeds only where provider access and use are authorized, and documents or datasets the client is authorized to provide. Access to closed databases or breach data is not promised.

Analysts corroborate key claims against independent sources, assess source reliability, preserve conflicts between credible sources and state the confidence and remaining gaps for each material finding.

AI assists with search, translation, entity extraction, clustering, classification, summarization and relationship discovery. Analysts decide relevance, verify findings, assess sources and write the conclusions. AI output is a starting point, never a finding in itself.

Each engagement has a defined purpose. Personal data is limited to what is necessary and proportionate to it, with an applicable legal basis assessed with you, and retention agreed per engagement. The work focuses on organizations and on people acting in public or professional roles.

Yes, as research support for evaluating organizations such as partners, suppliers or investment targets. It does not replace formal financial or legal due diligence, and it is not an investigation of private individuals.

Where scoped, periodic monitoring can be an output, with a defined topic, entities, cadence and sources. It is not a real-time monitoring platform.

The working environment is agreed according to the material and your requirements. Sensitive analysis can be carried out within architectures designed around your security, residency and infrastructure requirements, as described in Confidential AI.

With the question. Tell us the decision you are facing and what you already know; we agree the purpose, entities, time window, permitted source categories, legal basis and outputs before any collection starts.

Start with the question

What do you need evidence for?

Tell us the decision you are facing, the entities or topic involved and what you currently know. We can define the question, the permissible source categories and the evidence required to investigate it.