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REGTECH NEXUS AI · FINTECH · REGTECH · RISK INTELLIGENCE

FinTech Intelligence
Hub

Start with a FinTech question. Find the right analysis path, use the dedicated tool, verify the evidence and turn findings into accountable action.

A practical starting point for learning, researching a FinTech idea and organising evidence for your next decision.

Evidence-ledHuman-reviewedTool boundaries preservedGlobal perspective
Find the right tool ↓Build a FinTech Inclusion Action Plan ↗Explore Phase 2 Work Products ↗Open Regulatory Coverage Workbench ↗
Start with your goalChoose a learning or work pathway below, then follow the relevant guide or specialist tool.
Finish with a useful outputRecord what you learned, which sources you checked, what remains uncertain and what action should happen next.

START HERE · CHOOSE YOUR PATH

What brings you to the Hub?

Choose the closest match. Each path gives you a manageable next step and connects you to learning resources or tools already available on RegTech Nexus AI.

02 · BUILD SKILLS

I'm a young professional or analyst

Practise turning a business question into an evidence-based analysis.

  • Start with a realistic scenario.
  • Separate facts, assumptions and open questions.
  • Write a short intelligence brief.
Explore practical scenarios Use the brief structure ↓

START WITH THE QUESTION

Choose your FinTech analysis path

Each destination keeps its own purpose, logic and limitations. Open only the module relevant to the question you need to answer.

01REGULATORY SIGNALS

What rules and control expectations may apply?

Explore source-mapped jurisdiction and thematic control-evidence labs. Check the source, scope and verification status before relying on a signal.

Jurisdiction contextSource pathsEvidence review
Open Regulatory Signal Labs
02TRADE & FINANCIAL CRIME

Does a trade transaction need closer review?

Use TradeGuard to organise trade, party, route and document risk indicators for a human-led TBML review.

TBML signalsTrade documents
Open TradeGuard
03POLICY & CONTROLS

Does policy wording address the expected control?

Map a non-sensitive policy excerpt to source-linked control questions, evidence gaps and an action plan.

Policy-to-controlEvidence gaps
Open Policy Gap Analyzer
04GOVERNANCE & REMEDIATION

Who owns the control gap, action and retest?

Structure control ownership, priority, due dates, evidence notes and corrective actions with the ICMS Toolkit.

Control governanceAction tracking
Open ICMS Toolkit
05SANCTIONS RESOURCES

Which official sanctions source must be checked?

Use the sanctions resource page to reach official lists and authorities. It is a source directory, not a live name-screening service.

Official sourcesHuman verification
Open Sanctions Resources

WHAT “INTELLIGENCE” MEANS HERE

Not just news. Not just links. A decision you can explain.

FinTech intelligence turns relevant market, technology, customer, operational and regulatory signals into a structured view of an opportunity or risk. The output is not a prediction or a compliance certificate. It is a documented decision brief: what changed, why it matters, what evidence is missing, what options exist and what to do next.

01

Detect a signal

A product trend, customer complaint, fraud pattern, technology dependency, official notice or market change worth investigating.

02

Interpret business impact

Connect the signal to a real question: launch, pricing, onboarding, control design, vendor choice, investment or expansion.

03

Check evidence

Separate verified facts from assumptions; identify the official source, date, jurisdiction, data needed and unanswered questions.

04

Make the next move

Compare options, name an accountable owner, define a test or control, and set a review date. A human decision-maker remains responsible.

The practical output: a short intelligence brief, evidence checklist, decision options and action plan—not a pile of links or an unexplained spreadsheet.

WHO CAN USE IT

Different users. Different decisions.

Use the hub to frame a question before opening a specialised tool. The value is in choosing the right evidence and translating it into a decision relevant to your role.

FinTech founders & entrepreneurs

Assess a product idea, target market, partner dependency, customer trust issue or expansion plan before committing significant time and capital.

  • What needs validating before launch?
  • Which partners, risks and controls need due diligence?
  • What is the smallest safe pilot?

Banks & financial institutions

Translate emerging technology and risk signals into questions for product, compliance, operations, risk and internal audit teams.

  • What control evidence should be requested?
  • Who owns remediation and retesting?
  • What must be escalated for formal review?

Payment providers & merchants

Explore payment flow, onboarding, disputes, fraud patterns, cross-border dependencies and service continuity.

  • Where can a transaction fail or be abused?
  • What should be monitored in a pilot?
  • Which exceptions need human review?

Investors, consultants & product teams

Structure early due diligence and compare business-model assumptions without treating a desk review as proof.

  • Which claims require independent evidence?
  • What dependencies could change the business case?
  • What evidence should be requested next?

WORKED EXAMPLE · ILLUSTRATIVE ONLY

Example: a FinTech startup wants to launch cross-border payments

Suppose a startup is considering a remittance or cross-border payment product. Instead of immediately building the app, the team uses the hub to organise the questions that could make the pilot viable—or unsafe.

BUSINESS QUESTIONCan we test this payment service with a defined corridor and customer group?
DECISION NEEDEDProceed, narrow the scope, pause for evidence, or reject the proposal.
OUTPUTA documented go / no-go / revise brief with owners and evidence requirements.
InvestigateWhat the team checksIllustrative findingPractical next action
Market & customerTarget corridor, customer need, pricing, competitor options and complaint themes.Demand appears plausible, but willingness to pay and support costs are not yet validated.Interview target users; test transparent pricing and refund messaging before scaling.
Regulatory pathwayOfficial requirements in each relevant jurisdiction; licence, permitted activity, safeguarding and reporting questions.The proposed operating model may require a licensed partner or a different structure. This is a question to verify, not a legal conclusion.Build a jurisdiction-by-jurisdiction source register; obtain qualified local advice before launch.
Partner & payment flowWho holds funds, initiates transfers, performs conversion, settles and handles failed payments.Responsibility for reversals and customer complaints is unclear between proposed partners.Map the funds and data flow; document service levels, escalation, reconciliation and exit arrangements.
Financial-crime controlsCustomer due diligence, sanctions obligations, transaction monitoring, escalation and recordkeeping responsibilities.The draft plan names controls but does not yet show who performs them or what evidence is retained.Assign accountable parties; verify official requirements and test sample cases before any live pilot.
Technology & resilienceAPI dependency, access controls, data handling, outage response, recovery and vendor concentration.No tested fallback exists if the payment partner or API is unavailable.Run a failure tabletop; define reconciliation, customer communication, recovery and incident ownership.
Pilot decisionEvidence completeness, unresolved high-impact questions, owners, thresholds and review date.Proceeding at full scale would be premature; a smaller controlled test may be possible after prerequisites are met.Make the decision through the startup's governance process; document conditions, approvals and stop criteria.

Why this is intelligence: the team connects market, regulatory, operational, financial-crime and technology questions to one business decision. The sample findings above are hypothetical; they are not claims about a real company or current legal requirements.

FREE GLOBAL WORK PRODUCT · REUSABLE FIELD KIT

FinTech Inclusion Impact Canvas

A practical worksheet for founders, banks, NGOs, researchers, product teams and students to test whether a digital financial service is genuinely accessible, affordable, safe and useful for people who are often left out. Use it for any country or market—then export a working action register.

Designed for real-world usefulness

Move beyond counting app downloads. Examine the full customer journey, barriers, evidence and remedies—from first contact to complaints and exit.

Open and reusable

Free to use and adapt with attribution to RegTech Nexus AI. This is a structured self-review, not a certification, ranking or proof of impact.

Privacy by design

Your entries stay in this browser session. This worksheet does not submit them to RegTech Nexus AI. Do not enter personal, account or confidential customer data.

For each dimension, choose the status supported by your current evidence and add a source, observation or question. If you select “Gap identified” or “Not assessed”, the generated action register will flag follow-up work.

01Reach and practical access

Can intended users reach and use the service with their actual device, connectivity, electricity, location and access to cash-in/cash-out or support?

02Affordability and transparency

Are all fees, data costs, minimum balances, penalties, exchange rates and likely indirect costs understandable and manageable for the target group?

03Language, literacy and accessibility

Can people with different languages, reading levels, disabilities and digital skills complete key tasks independently, including recovery from errors?

04Fair and workable onboarding

Are identity, documentation and verification requirements risk-based, lawful and practical for people who may lack standard documents—without bypassing required safeguards?

05Trust, privacy and informed choice

Do users understand consent, data use, permissions, sharing, automated decisions and how to stop or change the service?

06Fraud prevention and safe recovery

Can users recognise scams, report unauthorised activity, secure or recover an account and obtain timely help without being unfairly blamed?

07Complaints and customer redress

Can customers raise a complaint in an accessible way, track it, receive a clear decision and challenge an error or transaction outcome?

08Fair treatment and outcome gaps

Are approval, pricing, fraud flags, service quality and drop-off reviewed across relevant user groups for unjustified disparities and unintended harm?

09Reliability and continuity

What happens during outages, weak connectivity, failed transfers, delayed settlements or agent downtime—and how are users informed and made whole?

10Measurable benefit—not just sign-ups

Will you measure whether the service improves a real outcome, such as safer saving, lower total cost, time saved, reliable payment or business resilience?

Start by describing the service and reviewing each dimension. No numerical score is produced: a single score can hide serious barriers for a particular group.

Use this as a learning and improvement tool. Validate findings with the people affected, use lawful and proportionate data, document sample limitations, and assign an accountable owner and review date. Do not use it to deny services, certify compliance or compare organisations without a defensible, context-aware method.

GLOBAL COVERAGE · REGULATORY EVIDENCE · DECISION SUPPORT

FinTech Regulatory Coverage & Decision Workbench

Select a country or jurisdiction, identify the relevant authority, record the circular or legal reference, and prepare a structured evidence-led brief. The register below reflects selected records from the current coverage workbook; it is not a complete or live regulatory database.

221 jurisdiction / framework labels Authority dropdowns where mapped Circular & reference fields A4 Print / Save as PDF

INTERACTIVE LEARNING CASES

Explore a FinTech sample case

Choose a country above and a product below. The scenario adapts to the selected jurisdiction and shows relevant regulator starting points where mapped.

Illustrative case — Digital wallet / e-money

Select a country or jurisdiction above to tailor the regulatory starting point.

1. Jurisdiction & source

Select a jurisdiction to view mapped sources.

Open selected official starting point ↗

2. Existing reference register

Search the selected Bangladesh circular / circular-letter entries imported from workbook v7.9. Choose a record by searching its number, date, sector or title, then use “Load matching record” to copy the metadata into the form.

Issue dateInstrument / numberSectorVerification statusSource
Loading reference register…

A catalogue entry or URL is not proof that the full legal text has been reviewed. Verification status is shown explicitly; verify the original source and any amendments before operational use.

Privacy and reliability: Use only public, synthetic or otherwise authorised non-sensitive information. Do not enter customer data, account numbers, credentials, transaction details or confidential bank records. This first version structures supplied information and selected workbook metadata; it does not run live AI analysis, automatically verify laws, or certify compliance. International standards and recommendations must be distinguished from binding domestic requirements.

PHASE 2 · PRACTICAL WORK PRODUCTS

From FinTech Insight to Action

Three reusable resources help you structure an intelligence brief, organise a jurisdiction-specific readiness review and learn from a worked digital-payments scenario. They are designed for international adaptation, not as a substitute for local legal or supervisory advice.

01

FinTech Intelligence Brief Builder

Turn a question into a concise, reviewable brief. Label evidence, assumptions and unknowns separately before making recommendations.

Primary source record (repeat details in the evidence field for additional sources)

Complete the fields you can support. Partial drafts are allowed; missing evidence should remain visible rather than being invented.

02

Regulatory Readiness Checklist

A structured scoping checklist for a product or service in a specified jurisdiction. For each item, record status, evidence or an official source, and a follow-up owner. Verify applicable laws and current versions directly with the relevant authority.

Statuses are internal self-review states, not regulatory approval. The tool does not verify evidence. A “reported compliant” status requires a human reviewer to record supporting evidence; unresolved licensing or other critical gaps must not be offset by completion elsewhere.

01 · Regulatory perimeter and authorisation

Identify the regulator, activity classification, required licence/registration, permitted activities, agent model and cross-border restrictions.

02 · Customer due diligence and AML/CFT

Map applicable risk-based CDD/KYC, beneficial ownership where relevant, sanctions obligations, monitoring, reporting, recordkeeping and escalation.

03 · Customer disclosure and fair conduct

Check required pre-contract information, fees, exchange rates, terms, consent, marketing claims, error handling and any applicable vulnerable-customer safeguards.

04 · Privacy, data protection and retention

Establish lawful basis, purpose limitation, data minimisation, retention/deletion, user rights, sharing, cross-border transfers and breach notification duties.

05 · Cybersecurity, access and identity

Review authentication, privileged access, secure development, encryption, vulnerability management, accessibility and applicable incident notification.

06 · Fraud, scams and disputed transactions

Confirm customer reporting channels, transaction alerts, investigation, reversals/refunds where required, evidence retention and fraud-loss responsibilities.

07 · Complaints, redress and consumer rights

Map complaint handling, time limits, escalation, ombudsman or external dispute resolution where applicable, and required customer communications.

08 · Operational resilience and third parties

Assess continuity, outages, reconciliation, settlement, outsourcing/cloud dependencies, concentration, recovery tests and service-provider oversight.

09 · Governance, audit and regulatory reporting

Identify accountable management, control ownership, recordkeeping, independent testing, required reports, change management and escalation.

10 · Inclusion outcomes and accessibility

Check applicable accessibility duties and whether user testing, affordability, service quality and outcome monitoring identify avoidable exclusion or harm.

11 · Product-specific financial and prudential requirements (conditional)

Where relevant, assess safeguarding or segregation of customer funds, capital/liquidity requirements, settlement arrangements, e-money or payment-institution rules, and deposit-taking restrictions. Confirm applicability for the product and jurisdiction.

12 · Technology, AI and model risk (conditional)

Where relevant, assess model validation, explainability, bias, human oversight, change control, vendor dependencies, security evidence, incident handling and exit arrangements.

Use official regulator and legislation sources for the selected market. Do not mark a requirement complete based only on this template.

Primary-source starting points

These are international reference points, not a complete list of local obligations. Always identify the competent local regulator and the current legal text.

03

Worked Case Study: Low-Cost Digital Payments

A worked example to demonstrate the method. All product details, observations, figures and targets below are hypothetical and illustrative; they are not verified findings about a real institution, market or programme.

Scenario

A fictional payment provider wants to help micro-merchants and rural customers accept and make small digital payments. Early feedback suggests some users abandon onboarding, worry about fees and do not know how to dispute a failed transaction. The team has not yet collected representative baseline data.

Evidence to collect first

  • Observe the full onboarding and payment journey with consent, including users with low digital literacy and accessibility needs.
  • Test fee comprehension using realistic transaction examples; compare total cost with alternatives.
  • Review anonymised funnel and failed-transaction data, documenting coverage, sample bias and data quality.
  • Check applicable official rules and provider contracts before making compliance claims.

Working assumptions — not facts

  • Onboarding friction and unclear fees may contribute to drop-off.
  • Visible complaint tracking and clear reversal information may improve confidence.
  • Agent availability and connectivity may affect successful use.
  • Effects may differ by location, gender, disability, device and merchant type; test rather than presume.

Unresolved questions

  • Which user groups are least likely to complete onboarding, and why?
  • What are the real total costs and who bears failed-transaction losses?
  • What complaint and reversal timelines are legally required in this jurisdiction?
  • Do users achieve a meaningful benefit after fees, travel, time and fraud losses?

Illustrative outcome measures

  • Onboarding completion and reasons for abandonment, segmented only where lawful and privacy-safe.
  • Share of tested users who correctly explain fees and dispute steps.
  • Failed-payment resolution time and proportion resolved within the applicable standard.
  • Active repeat use and a user-reported outcome, with a baseline and defined follow-up period.

Set targets only after establishing a baseline and checking feasibility. Do not treat downloads or registrations alone as proof of inclusion.

Measurement definitions — agree before the pilot

  • Onboarding completion: eligible completed onboarding journeys ÷ eligible journeys started × 100. Define exclusions and the observation window.
  • Fee comprehension: participants correctly answering predefined fee questions ÷ participants tested × 100. Record sample size and missing responses.
  • Timely failed-payment resolution: eligible failed-payment cases resolved within the verified applicable standard ÷ eligible failed-payment cases × 100.
  • Repeat use: users completing a qualifying repeat transaction in the defined follow-up period ÷ eligible users in the measured cohort × 100.

Report the denominator, cohort, baseline period, follow-up period, exclusions and data limitations with each rate. Do not set invented targets.

Failed-payment scenarios to distinguish

  • Pending or delayed transaction.
  • Failed payment with no debit.
  • Customer debited but beneficiary not credited.
  • Duplicate debit or duplicate payment.
  • Suspected fraud or unauthorised transaction.
  • Dispute requiring investigation.

Different scenarios may have different recovery routes, responsible parties and deadlines. Verify the applicable law, payment-rail rules and provider contracts; do not assume one universal reversal deadline.

Pilot entry and exit gates

  • Before launch: review applicable permissions, disclosures, complaint escalation, reconciliation, privacy/consent, accessibility and operational support.
  • Before evaluation: approve the baseline, cohort, measures, follow-up period and decision thresholds.
  • At close: record a go, remediate-and-retest, or stop decision against predefined criteria.
  • Evidence rule: negative, mixed or inconclusive findings must be reported; do not convert missing evidence into success.
Example action plan — roles and timeframes are illustrative
ActionAccountable roleWhenEvidence of completion
Map user journey and test accessibility / language barriersProduct research leadWeeks 1–2Documented findings and participant safeguards
Validate fee disclosures and dispute journeyConduct / customer-protection leadWeeks 1–3Comprehension results and approved disclosure changes
Confirm applicable rules and required timelinesCompliance / legal leadBefore pilot launchCurrent official-source register with reviewed obligations
Test failed-payment recovery and support escalationOperations leadWeeks 2–4Scenario-test record, root causes and remediation owner
Run a bounded pilot and evaluate outcomesProgramme owner with independent reviewAfter controls are approvedBaseline, defined measures, limitations and documented go/no-go decision

A hypothetical example is not evidence that a product is compliant or that an intervention works. Obtain consent for research, protect personal data, validate local requirements and report negative or inconclusive results as well as positive ones.

Privacy and use: these builders operate in your browser and do not send entries to RegTech Nexus AI. Do not enter personal, account, commercially confidential or other sensitive data. Exported files are your responsibility to store and share securely. The resources provide educational and decision-support structure, not legal advice, certification or supervisory approval.

MORE PRACTICAL SCENARIOS

What a user can actually do with this hub

Each example starts with a business problem and ends with a useful work product. The existing tools support parts of the analysis; they do not automatically perform every step listed.

01Digital lender assessing a new customer segment

Question: Should the lender pilot small-ticket credit for a new customer group?

Analyse: Customer need and affordability assumptions; data quality and consent; model limitations; fair treatment; fraud, complaints and collections controls; applicable official requirements.

Work product: Assumption register, evidence checklist, model/use-case review questions, pilot limits and monitoring indicators.

Next step: Use Bank-use Review and Explainable AI resources for governance questions; use relevant regulatory sources and professional review for jurisdiction-specific obligations.

02Payment provider investigating rising disputes

Question: Are disputes associated with a merchant category, onboarding weakness, service outage or confusing customer journey?

Analyse: Segment disputes by time, merchant, channel and reason; validate data quality; compare process changes; inspect exception handling.

Work product: A hypothesis log, evidence request list, control-owner map and time-bound test plan.

Next step: Validate with authorised internal data and the organisation's approved systems. This public hub does not connect to payment rails or private customer records.

03Bank evaluating an AI vendor

Question: Is the proposed AI tool suitable for a defined banking use case?

Analyse: Intended use, data access, explainability, human override, vendor dependency, security evidence, validation, incident handling and exit arrangements.

Work product: Due-diligence questions, evidence-gap list, accountable owners and conditions before production use.

Next step: Open Bank-use Review and Explainable AI controls. Do not treat a completed checklist as approval or certification.

04Trade FinTech reviewing a suspicious-looking transaction pattern

Question: Which trade, party, route or document inconsistencies merit closer review?

Analyse: Compare the transaction story with available invoices, transport documents, goods, counterparties and payment terms; distinguish anomalies from evidence of misconduct.

Work product: A documented review trail, missing-document list, reason for escalation and decision owner.

Next step: Use TradeGuard with authorised, non-sensitive or synthetic examples and follow the institution's escalation process.

05Entrepreneur comparing two markets

Question: Which market should be researched first for a digital wallet or embedded-finance product?

Analyse: Customer problem, competition, payment infrastructure, partner availability, official regulatory pathway, operating costs, data protection and consumer recourse.

Work product: A comparable market scorecard with sourced facts, explicit assumptions, evidence gaps and a shortlist for deeper diligence.

Next step: Start with official jurisdiction sources and relevant Regulatory Signal Labs; do not rank markets on incomplete or unverified data.

06Compliance team converting a policy into actions

Question: Does a policy describe the control clearly enough for staff to perform and auditors to test it?

Analyse: Control objective, trigger, owner, procedure, evidence, exception path, reporting and review frequency.

Work product: Policy-to-control mapping, missing-evidence list and remediation tracker.

Next step: Use Policy Gap Analyzer for the relevant comparison and ICMS Toolkit to organise owners, due dates and retesting.

A REUSABLE WORK PRODUCT

What a FinTech Intelligence Brief should contain

Use this structure for a product review, market scan, vendor assessment or risk question. It makes the reasoning inspectable instead of presenting a long list of webpages or a spreadsheet without context.

PRACTICAL WORKING TEMPLATERECORD EVIDENCE & OPEN QUESTIONS

FinTech Intelligence Brief

1. Decision to make
What choice must the team make, by when, and who approves it?
2. Signal and context
What changed? Include date, jurisdiction, product, source and why it matters.
3. Verified evidence
List primary sources and evidence reviewed; note scope, status and last checked date.
4. Facts vs assumptions
Separate established facts, working hypotheses and unknowns.
5. Impact and options
Describe potential customer, commercial, operational, technology and control impacts; compare options.
6. Gaps and limitations
State missing evidence, uncertainty, out-of-scope questions and what was not tested.
7. Action plan
Action, accountable owner, due date, evidence required, escalation path and retest date.
8. Decision record
Proceed / revise / pause / reject, with rationale and approval through the appropriate process.

A REPEATABLE ANALYSIS METHOD

From signal to defensible action

The same evidence discipline can support many FinTech questions without forcing every problem into one scoring model.

  1. 01
    Frame the question

    Define the product, transaction, institution, jurisdiction and decision that need analysis.

  2. 02
    Verify authoritative sources

    Check the primary source, date, legal status, scope and amendments. International standards are not automatically domestic law.

  3. 03
    Select the dedicated tool

    Use the relevant existing module; do not treat one tool's output as another tool's result.

  4. 04
    Inspect evidence and limitations

    Record what is known, missing, assumed or not verified. Risk indicators are not proof of wrongdoing.

  5. 05
    Assign action and retest

    Where appropriate, record the owner, due date, supporting evidence, approval and retest result in the institution's approved process.

PLAIN-LANGUAGE GUIDE

FinTech terms, explained simply

You do not need to know every acronym before you begin. Use these short definitions as a starting point, then check the relevant official source for the context that applies to your work.

AML/CFT
Anti-money laundering and countering the financing of terrorism: laws, processes and controls intended to prevent and detect the misuse of financial services.
KYC
Know Your Customer: identifying and understanding a customer, including the checks required for the relevant service and risk.
TBML
Trade-based money laundering: using trade transactions, documents or value differences to disguise the movement of illicit funds.
RegTech
Technology that helps organisations manage regulatory or compliance-related processes, evidence and obligations.
SupTech
Supervisory technology: technology used by regulators or supervisors to support oversight, analysis and supervision.
Model governance
The oversight around how a model is designed, tested, approved, monitored, changed and retired—including its limitations and accountability.
Regulatory readiness
A structured review of what a business may need to understand, document or arrange before carrying out a regulated activity. It is not a licence or a compliance guarantee.
Primary source
An official document or publication from the authority or organisation responsible for issuing it. Check the date, jurisdiction, status and scope.
Control evidence
Records that help show whether a control was designed, performed and reviewed—for example, an approved procedure, test result or exception record.
Human review
A qualified person checks context, evidence and limitations before an important decision is made; an automated indicator alone is not proof.

Ready to apply the terms? Build your foundations in the Student Knowledge Hub, or choose a specialist tool for a specific question.

FINTECH LENS

Topics connected by the analysis—not by duplicate tools

Digital paymentsAML/CFT & sanctionsTrade finance & TBMLOpen / embedded financeDigital assetsCyber resilienceAI governancePrudential & market riskConsumer protectionRegTech & SupTech
Important use boundary

Use this Hub for education, research and structured decision preparation. It does not grant regulatory permission, determine legal compliance or provide live screening against private or bank systems. Use only public, synthetic or otherwise authorised non-sensitive information in public tools, verify requirements with the relevant official authority, and obtain qualified advice where needed.