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Use Case · Strategic Risk

Horizon Scanning.
Risk on the horizon, not in the rearview.

Leah continuously scans regulatory, policy, geopolitical, and market signals across jurisdictions, maps every signal to your risk register, and surfaces emerging risks before they become events. The always-on intelligence layer for the C-suite.

12+
Risk vectors monitored continuously
4hr
Median signal to escalation
60+
Jurisdictions tracked in real time
Trusted by legal, procurement, and contracting teams at
Alaska Airlines
Advantage Solutions
AGC Biologics
Agree Realty
Aliaxis
ANSA McAL
Beiersdorf
Blackhawk Network
BSH
Comerica Bank
Corebridge
Crawford & Company
Cushman & Wakefield
Daikin
Dawn Foods
Dubai Future Foundation
FNIH
Fullerton Fund
Greencross Vets
Hastings Deering
Hawaiian Airlines
KPMG
Karcher
Land O'Lakes
Li & Fung
LogicMonitor
Maxim Healthcare
Multi-Color Corporation
MDI / Novare
Merz Therapeutics
MicroStrategy
MUFG
Molecular Partners
Nations Roof
oOh! Media
Pepco Group
Philips
Pernod Ricard
Pleo
PowerSchool
PwC
Quanta Services
S&B Engineers
Sandoz
Sciensus
Sonepar
StarHub
Suburban Propane
tesa
Housing Bank
Vencora
Verint
Viva.com
Wood PLC
YETI
Alaska Airlines
Advantage Solutions
AGC Biologics
Agree Realty
Aliaxis
ANSA McAL
Beiersdorf
Blackhawk Network
BSH
Comerica Bank
Corebridge
Crawford & Company
Cushman & Wakefield
Daikin
Dawn Foods
Dubai Future Foundation
FNIH
Fullerton Fund
Greencross Vets
Hastings Deering
Hawaiian Airlines
KPMG
Karcher
Land O'Lakes
Li & Fung
LogicMonitor
Maxim Healthcare
Multi-Color Corporation
MDI / Novare
Merz Therapeutics
MicroStrategy
MUFG
Molecular Partners
Nations Roof
oOh! Media
Pepco Group
Philips
Pernod Ricard
Pleo
PowerSchool
PwC
Quanta Services
S&B Engineers
Sandoz
Sciensus
Sonepar
StarHub
Suburban Propane
tesa
Housing Bank
Vencora
Verint
Viva.com
Wood PLC
YETI
Alaska Airlines
Advantage Solutions
AGC Biologics
Agree Realty
Aliaxis
ANSA McAL
Beiersdorf
Blackhawk Network
BSH
Comerica Bank
Corebridge
Crawford & Company
Cushman & Wakefield
Daikin
Dawn Foods
Dubai Future Foundation
FNIH
Fullerton Fund
Greencross Vets
Hastings Deering
Hawaiian Airlines
KPMG
Karcher
Land O'Lakes
Li & Fung
LogicMonitor
Maxim Healthcare
Multi-Color Corporation
MDI / Novare
Merz Therapeutics
MicroStrategy
MUFG
Molecular Partners
Nations Roof
oOh! Media
Pepco Group
Philips
Pernod Ricard
Pleo
PowerSchool
PwC
Quanta Services
S&B Engineers
Sandoz
Sciensus
Sonepar
StarHub
Suburban Propane
tesa
Housing Bank
Vencora
Verint
Viva.com
Wood PLC
YETI

Emerging risk is everyone's job and nobody's system.

Risk surfaced after the event, not before

By the time a regulatory shift, geopolitical move, or market dislocation reaches an internal committee, the window for proactive response has already closed. The organization spends its energy reacting instead of preparing.

Manual scanning across siloed feeds

Legal tracks regulators. Strategy reads market intelligence. Operations watches policy. Each team scans its own corner, and the cost of stitching it together every week is paid by people who should be making decisions instead.

Cross-cutting patterns missed because nobody connects them

A single regulator filing rarely matters. Three filings across three jurisdictions in the same month signal a wave. Without a layer that connects signals across feeds and functions, the wave is only visible in hindsight.

Regulatory change tracked by jurisdiction not portfolio

Trackers organize change by country, agency, or topic. Risk owners think in portfolios, products, and exposures. The translation step from regulatory feed to portfolio impact is manual, slow, and inconsistent.

Strategic risk drowns in operational noise

Daily alerts pile up. The signals that move the strategy hide inside the volume of routine notices. Without prioritization tied to your risk register, strategic risk is treated as just another inbox.

No traceable rationale for what was watched

When the board asks why a risk was missed, or why a watchlist looked the way it did, there is no defensible audit trail. Coverage decisions live in heads and inboxes instead of a logged, reviewable record.

From scattered feeds to one continuous signal stream

Leah connects to regulatory bodies, policy trackers, market intelligence platforms, news wires, and internal communications. Every relevant change becomes a structured signal in a single stream, deduplicated, classified, and timestamped, instead of a separate tab in someone else's browser.

Regulatory and Policy FeedsDirect ingestion from agencies, supervisory bodies, and policy trackers across the jurisdictions your portfolio touches.
Market and Geopolitical IntelligenceSanctions, trade actions, market notices, and geopolitical events flow into the same stream, classified and tagged.
Internal Signal CaptureCustomer escalations, compliance reports, and incident logs from internal systems are added to the same surface, so external and internal signals sit side by side.
Active Signal StreamLive
1,840
Signals This Week
12
Risk Vectors
63
Source Feeds
Signal Categories
Regulatory Filings
Active
Policy Updates
Active
Sanctions and Trade
Active
Market Notices
Active
Geopolitical Events
Review

“We used to assign three analysts to read agency releases every morning. Leah delivers the same coverage as a single deduplicated stream, and they spend the day on judgment instead of reading.”

Head of Risk, Global Pharmaceutical

Five steps to continuous strategic risk intelligence

Leah integrates with the feeds and registers you already run. No rip and replace. Coverage from the first week.

1

Connect

Leah connects to the regulatory feeds, policy trackers, market intelligence sources, and internal communications you already use. Existing GRC, register, and reporting systems stay where they are.

2

Ingest Signals

Every relevant change becomes a structured signal: deduplicated, timestamped, classified, and stored with full provenance. The scattered feed problem disappears in week one.

3

Detect Patterns

Signals are clustered across jurisdictions, functions, and time. Emerging trends and concentration risks surface as patterns scored against your portfolio exposure, not as longer alert lists.

4

Map to Register

Each material signal and pattern is tied to the risk lines and named owners in your internal register. Exposure is quantified where portfolio data is connected.

5

Brief Stakeholders

Executive weeklies, board packs, and on-demand deep dives are generated from the same record. Every claim is sourced. Every recommendation is owner-attributed.

Got Questions? Get Answers.

Leah ingests regulatory body releases, supervisory and central bank notices, policy trackers, sanctions and trade lists, market intelligence platforms, news wires, and internal sources like compliance reports, customer escalations, and incident logs. Coverage extends across the jurisdictions in your portfolio. Where a feed is missing, Leah can be pointed at any structured or web source you rely on today, with provenance preserved.

Leah ingests your existing risk register, control framework, and ownership map directly. There is no reformatting and no parallel taxonomy to maintain. Signals and patterns are tied to your risk lines using your language. As your register evolves, Leah relearns the changes from the same source of truth, so coverage stays aligned without a separate update workflow.

Most deployments cover 30 to 60 jurisdictions in continuous monitoring within the first month, with deeper jurisdictions added as the risk register requires. The coverage model is signal-driven rather than country-driven, so a small but high-exposure jurisdiction can be tracked at the same depth as a primary market without proportional cost.

Leah operates alongside the GRC, register, and reporting systems you already run. She reads from them, enriches the signal and pattern record, and writes back into the same systems where appropriate. Risk owners continue to work in their existing tools. There is no rip and replace, and no parallel system for the team to maintain.

Materiality scoring is tuned against your portfolio and register, so the volume reaching senior eyes is small and high-signal. False positives are reviewed and fed back into Leah's classification model, which learns the threshold your organization actually uses. In typical deployments fewer than five percent of escalations are dismissed as noise after the first 60 days of tuning.

Leah is deployed for regulated organizations in pharmaceuticals, financial services, energy, and transport. Customer data is encrypted in transit and at rest. Content does not train Leah's underlying models. SOC 2 Type II, GDPR, CCPA, HIPAA-ready, and ISO 27001 aligned. Private instance deployment is available for organizations with strict data isolation requirements.

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