Regulatory Fines
Which regulatory risks could cost you?
- 3,000+ ESG regulations globally.*
- US$1–4tn at risk by 2050 from transition and regulatory change.
- Greenwashing cases rose 70% from 2020–2023.
- 40% of ESG claims lack verifiable evidence.
ESG DATA CORE
- CSRD
- CSDDD
- NIS 2
- CBAM
- CRA
- MODERN SLAVERY ACTS
- GDPR
- EU FORCED LABOUR REGULATION
- EU PAY TRANSPARENCY DIRECTIVE
- ISO
- IFRS/ ISSB
- RESOLUÇÃO CVM 193
- CDP
- GRI
Let Data Lead the Way
How do you secure your place in the supply chain? How do you guarantee your international expansion?
Supply Chains Are Broken.
Supply chains are becoming a growing source of operational, regulatory, and reputational risk.
Companies are losing millions through operational disruptions, supplier blind spots, fragmented ESG data, and regulatory exposure. The consequences — fines, headlines, and operational failures — are no longer hypothetical.
ESG Data Core transforms fragmented sustainability and supplier data into real-time intelligence — so you detect risks before they become crises.
Business risks hidden in sustainability data
Supplier Risk
Where are your supplier risks?
- Supply-chain disruption costs companies 6–10% of annual revenue.
- 7.4–11% revenue growth lost to disruptions.
- Up to 90% of emissions come from suppliers.
- 70% of firms lack supplier ESG visibility.
- 73% of firms report losses from supply-chain disruption.
Operational Impact
What could disrupt your operations?
- Companies reported US$3bn in weather-related losses in 2025.
- Corporate exposure could reach US$898bn, due to flooding, cyclones and heavy rain.
- 83% of firms link climate risk to financial impact.
Reputational Damage
How vulnerable is your reputation?
- ESG failures are increasingly public.
- One supplier incident can cut brand value by up to 30%.
- ESG reputational damage drives financial and talent losses
Financial Opportunity Loss
How much growth is at risk?
- ESG performance influences access to capital.
- Sustainability-linked loans reward measurable ESG progress.
- ESG criteria increasingly influence procurement decisions.
- Weak ESG performance can reduce contract wins (public and private tenders).
When these risks materialize, brands pay the price — in fines, headlines and lost value.
See the real cases →CSRDCSDDDIFRS/ ISSBNIS 2CBAMCRAMODERN SLAVERY ACTSGDPREU FORCED LABOUR REGULATIONEU PAY TRANSPARENCY DIRECTIVEISO
O conteúdo de referência abaixo está disponível em inglês enquanto a versão em português passa por revisão editorial.
When data fails, brands pay the price
Companies are legally responsible for ESG claims, even when the underlying data comes from third-party suppliers. The reputational and financial damage can be fast and severe. 3 real cases. 3 preventable damages.
Case 01
The Carbon Accounting Scandal
662% higher emissions than reported.
Companies: Google · Microsoft · Meta · Apple · Amazon
Case 02
The Cobalt Supply Chain Lawsuit
Tier-2 and Tier-3 suppliers were invisible.
Companies: Apple · Alphabet · Dell · Microsoft · Tesla
Case 03
The 'Carbon Neutral' Watch Backlash
Offsets aren't data. The EU said so.
Companies: Apple
One supplier incident can destroy up to 30% of a brand's reputational value.
Meet CIS — Corporate Impact Stewardship
The configurable ESG operating system for technology companies that need to understand operations, suppliers, carbon, risks, and reporting in one unified workflow. CIS is not a reporting template — it is a living intelligence layer built around how global enterprises actually operate.
- Audit-Ready
- Project Management
- Supply Chain First
Industry Configurable — ESG data engineered for the entire tech ecosystem
From hardware infrastructure to global IT services. We provide the precise sustainability and governance data required to scale modern technology enterprises.
Your ESG Data Is Everywhere. Except Where It Needs to Be.
The problem isn't a lack of data — it's that ESG data is scattered across disconnected systems, creating blind spots that expose your business to risk.
Where Data Lives Today
- Spreadsheets and local files
- Emails between teams
- ERPs and legacy systems
- Unanswered supplier questionnaires
- External consultants with siloed data
What Happens as a Result
- Slow and inaccurate reporting
- Audit difficulties and evidence gaps
- Invisible supplier risks
- Low supplier engagement rates
- Growing regulatory exposure
- Decisions made without reliable data
One Platform. Complete Sustainability Intelligence.
ESG Data Core centralizes your ESG and supplier data into one audit-ready source of truth — giving your team the intelligence to act, not just report.
01
Collect
02
Structure
03
Analyze
04
Decide
05
Act
From raw, fragmented metrics and reactive reporting to proactive decision making and strategy. ESG Data Core handles the full journey, so your team can focus on risk remediation and outcomes rather than data wrangling.
What companies gain with CIS
Beyond compliance, CIS delivers measurable financial impact — reducing ESG-related operational costs by 20–40% and improving reporting efficiency by up to 2x.
Cost Reduction
Data collection
Reduce manual data collection efforts by 30–60%. Centralized architecture removes duplication across teams, cutting administrative overhead and minimizing human error.
Reporting
Lower ESG reporting costs by 20–40%. Automation reduces reliance on manual processes and external consultants, replacing recurring annual advisory spend.
Supplier processes
Reduce supplier data collection time by 30–50%. Increase supplier response rates by 20–40%. Identify third-party risks weeks earlier, preventing operational disruption.
Risk Reduction
Audit readiness
Reduce audit preparation time by 40–70%. Structured validation ensures traceable, consistent, and defensible data — lowering risk of regulatory penalties.
Financial loss prevention
Prevent 5–15% of ESG-related losses through early risk detection. Shift from reactive to proactive risk management with real-time visibility across operations and supply chain.
Estimated impact ranges based on industry benchmarks and internal hypotheses. Actual results vary by company maturity and data complexity.