Gifts and hospitality abuse
Spend above policy or disclosure thresholds, amounts structured just below a limit, and recipients connected to government or customer decision-makers.
RISK COVERAGE
Anti-Bribery & Anti-Corruption Analytics
Corruption risk hides in legitimate-looking spend categories. These analytics test the categories where it actually sits.
Improper payments rarely post to an account called improper payments. They appear as consultancy fees with thin deliverables, hospitality just below a disclosure threshold, commissions to an intermediary in a high-risk jurisdiction, or a donation made days before a licence decision.
foretale.ai tests spend, vendor, and expense data against anti-bribery and anti-corruption risk indicators, weighting results by jurisdiction risk, counterparty type, and proximity to public officials and regulatory events.
WHAT WE DETECT
Risks tested in this domain
Facilitation payments
Small recurring payments to agents, expeditors, or customs intermediaries, particularly in high-risk jurisdictions.
High-risk intermediaries and agents
Consultants and commission agents with vague scope, payments disproportionate to deliverables, and entities in jurisdictions with elevated corruption risk.
Conflicts of interest
Overlap between vendor and employee records — shared addresses, bank accounts, phone numbers — and undisclosed related-party transactions.
Politically exposed persons and sanctions exposure
Counterparties matching PEP, sanctions, or watchlist reference data, including indirect matches through ownership.
Donations and sponsorships
Charitable and sponsorship payments timed close to permits, tenders, or regulatory decisions.
HOW IT RUNS
Understand → Plan → Execute → Explain
foretale.ai maps your data and relationships, plans the analytics for this domain, tests the full population, and returns findings with evidence attached. Your team keeps every judgement.
DATA USED
What we need from your systems
- Vendor master and beneficial ownership where available
- Payments and invoices with jurisdiction detail
- Expense claims for gifts, travel, and hospitality
- Agent, consultant, and commission agreements
- Employee master data and declared interests
- PEP, sanctions, and watchlist reference data
Related reading
Frequently asked questions
What transactions indicate FCPA or bribery risk?
The recurring indicators are payments to intermediaries whose scope of work is vague relative to their fee, hospitality and gifts structured just below disclosure thresholds, small recurring facilitation payments in high-risk jurisdictions, donations or sponsorships timed close to a regulatory or tender decision, and payments to counterparties connected to public officials.
How do you test for undisclosed conflicts of interest?
By comparing vendor master data against employee master data for shared bank accounts, addresses, phone numbers, and tax identifiers, then testing whether those vendors received awards or payments. Matches are ranked so that a shared bank account with material spend is prioritised over a coincidental address match.
Is jurisdiction risk factored into the analysis?
Yes. Counterparty and transaction jurisdiction is used to weight risk, so the same payment pattern is scored differently depending on where the counterparty operates.
Can this support a third-party due diligence programme?
Yes. Analytics identify which counterparties warrant enhanced due diligence based on transactional behaviour, which complements questionnaire-based onboarding rather than replacing it.
NEXT STEP
See it on your data.
Request a focused walkthrough—usually within one business day.