Climate risk answers your sustainability, risk, and legal teams will want

Yes. These are the two frameworks the platform is built around. Beehive maps physical and transition risk data directly to TCFD's four pillars and IFRS S2's disclosure requirements, and generates report-ready narrative and metrics aligned to each. As IFRS S2 becomes the global baseline, this is the core of what Beehive produces.

Beehive generates the climate-related financial risk disclosure SB 261 requires, using the TCFD framework the law explicitly references. The underlying analysis — hazard exposure, financial impact, governance narrative — is reusable regardless of the law's enforcement timeline.

CSRD requires companies to identify and report on their climate-related risks and opportunities — CRROs, for short. Risks include things like flooding, heat, or wildfire damaging your sites (physical risk), or costs from carbon pricing and shifting regulations (transition risk). Opportunities include cost savings from energy efficiency projects or new revenue from sustainable products. Companies need to explain what these CRROs are, how likely they are, and what they'd cost or gain financially.

Beehive identifies the CRROs relevant to your assets, models how likely and severe each one is, and quantifies the financial impact — then turns that into the disclosure language CSRD's climate section (ESRS E1) requires. That's the core of what we do: find the risks and opportunities, put a number on them, write them up.

ASRS closely mirrors IFRS S2, and Beehive's underlying analysis — hazard exposure, financial impact quantification, governance disclosure — maps directly to it. If you're already reporting under IFRS S2 or TCFD, extending to ASRS is largely a formatting and jurisdictional-nuance exercise, not a new analytical build.

Importantly, Beehive makes it easy to assess physical risk assigned to SSP1-1.9 (required by Australian law) and to run risk assessments specific to that geography, even if you are a global business.

Beehive separates the underlying risk analysis from the disclosure format. You run the hazard and financial modeling once, then generate framework-specific outputs — TCFD, IFRS S2, CSRD, ASRS — from that same evidence base. That's the point of building on a common analytical core: you're not re-deriving your risk exposure for every regulator, just pulling the relevant data and re-formatting the disclosure.

That's a bold claim. It means the platform can generate a first-pass, evidence-linked climate risk assessment and disclosure draft in about an hour of active work. Pretty good, right? It does not mean that compliance is fully achieved with zero further effort, or that you should publish what we write without reviewing it.

It replaces the months consultants spend on data collection and first-draft analysis. Your team's review, judgment calls, and sign-off still happen after, but we'll help with that. People work at Beehive, too.

Most of a six-month engagement is data gathering, hazard modeling, and first-draft writing — mechanical work Beehive automates using data you've already got. What consultants spend months building manually, the platform assembles from your asset and financial inputs in near real time. The hour is the automatable part. The judgment part still takes as long as it takes.

On hazard modeling and financial quantification, yes. Often deeper, since it's systematic and re-runnable rather than a one-time manual build. Where consulting still adds value is company-specific judgment: how you interpret materiality, how you adapt to changing risks, how you frame the narrative to your board, and legal review. We're not claiming to replace that layer. We just get you there faster.

For company-specific judgment calls Beehive can't make for you: setting materiality thresholds, deciding on capital allocations to manage risk, resolving genuinely ambiguous risk interpretations, litigation-sensitive language review, and first-time framework adoption where your legal and audit teams want an outside second opinion. Beehive handles the analytical heavy lifting; consultants and counsel remain the right call for judgment and liability-bearing sign-off.

We draw on peer-reviewed climate models and public/licensed hazard datasets, downscaled to asset-level resolution. Each hazard type — wildfire, flood, heat, hurricane, drought, sea level rise — has its own model lineage and update cadence, and every number in your report links back to the specific dataset and vintage it came from. Learn more at docs.beehiveclimate.com.

For physical risk, we model four IPCC-aligned SSP scenarios — SSP1-1.9, SSP1-2.6, SSP3-7.0, and SSP5-8.5 — across three time horizons: 1 year, 10 years, and 30 years. For transition risk, we cover all seven NGFS (Network for Greening the Financial System) scenarios. Together, that's full coverage of what any current climate disclosure regulation requires, so you're never blocked by a scenario your framework mandates that we don't support.

The platform makes it easy to toggle between scenarios and time horizons and see exposure shift in real time — useful for disclosure, and for stress-testing decisions against a range of futures rather than one forecast. Time horizons also align to standard ERM planning windows, so the same risk view can feed your enterprise risk process, not just your disclosure.

Beehive is built to be flexible. Add facilities, supply chain, employees, and customers. Add anything with an address or zip code — like a building, data center, or employee hub — linear assets like pipelines, transmission lines, and shipping routes, or polygons like large farms or forests.

If it has a location and a business value attached to it, Beehive can model hazard exposure against it, whether that's a single headquarters or a national grid. And we don't charge per asset, so you can understand risk to your entire business.

Yes. Alongside physical hazard exposure, Beehive models transition risk using the same asset and financial data already in the platform. Physical and transition risk are treated as two views of one underlying business exposure, not two separate tools.

Yes. Quantification is the core of the product, not an add-on. Beehive translates hazard exposure into dollar-denominated financial impact: expected losses, revenue at risk, asset value impairment, and capital expenditure exposure. That's what separates Beehive from a mapping tool. You get a number your CFO can put in a model, not just a heat map.

Beehive identifies which of your sites and assets face the highest physical risk exposure and when, giving your continuity team a prioritized, evidence-based map instead of a generic checklist. Beehive's AI can draft BCPs for you based on relevant risk to the assets you care about. That means you can build continuity plans around your actual highest-exposure locations first, and justify to leadership and the board why resources are allocated where they are.

Yes. Hazard exposure at the asset level — extreme heat, wildfire smoke, flood risk — translates directly into where employee safety protocols and site-specific preparedness plans matter most. Beehive doesn't replace your EHS function, but it gives it a data-backed starting point: which facilities need heat protocols this year, which need evacuation planning, and which are lower priority.

Beehive's forward-looking hazard modeling supports preparedness — knowing which sites are exposed to which risks, and when exposure is expected to increase, lets you pre-position resources and update response plans before an event rather than after. It's not a real-time monitoring or emergency-response tool; it's the risk intelligence layer that makes your preparedness planning targeted instead of one-size-fits-all.

Yes — this is a deliberate design choice, not a coincidence. The same asset-level hazard and financial exposure data that generates your TCFD or IFRS S2 disclosure is what informs continuity and safety planning. You're not maintaining two separate risk pictures; disclosure and operational resilience draw from one evidence base, which is also what makes the disclosure defensible in the first place.

Risk management and business continuity teams for site prioritization and continuity planning, EHS for safety protocol targeting, and facilities or real estate for capital planning around high-exposure locations use Beehive alongside the sustainability and finance teams already using Beehive for disclosure. It's the same underlying platform serving multiple functions rather than a separate tool per team.

Beehive isn't a self-serve license you're left to figure out. Every customer works with our team through onboarding, methodology questions, and how to interpret results for your specific business and board. You're assigned a dedicated customer success manager with consulting experience who understands climate risk and disclosure and can act as a thought partner as you build out your program. The one-hour assessment gets you a fast, defensible starting point; our team is what makes sure it's the right starting point for your business.

As often as your underlying data changes. Hazard models and financial inputs can be re-run on demand at no cost, so you're not locked into an annual cycle. Update ahead of a board meeting, a new acquisition, or a shift in your asset footprint, and get a fresh assessment rather than working off a stale report.

An asset list with locations, and whatever financial data you have connecting those assets to revenue, replacement cost, or capital value. That's the minimum. The more complete the data, the sharper the output — but Beehive is built to work with incomplete data and flag the gaps, not to block on a perfect dataset.

Every output traces back to its inputs: the asset data, hazard model, and equations used to generate it. Nothing is a black-box number. Each figure links to the assumptions and data sources behind it, so a reviewer can inspect the chain of logic rather than take the conclusion on faith. AI drafts the narrative and calculations; it doesn't originate judgment calls that require sign-off. That separation is what makes the work reviewable, not just plausible.

Your team still owns two things: confirming the asset and financial inputs are accurate, and validating any judgment-based assumptions Beehive surfaces — for example, materiality thresholds and risk tolerances. Beehive doesn't remove your review obligation. It gives your legal and audit teams a structured, evidenced starting point instead of a blank page. Expect a focused review cycle, not a rebuild.

Yes, Beehive is SOC 2 Type II certified. Would we have put this question in the FAQ if we weren't? You can read more about security at trust.beehiveclimate.com.

No. Your data is used to generate your analysis and reports. It is not used to train any AI model.

Beehive uses models from Anthropic and OpenAI as subprocessors within our architecture, alongside AWS infrastructure.