Systems Management / ESG

Sustainability data is a system. Engineer it like one.

Systems Management applies systems engineering to ESG reporting: GHG Protocol inventories, ESRS and GRI disclosures, and the supplier data behind them. Every datapoint is traced to its source, every control holds up to assurance, and the reporting cycle lands on the day.

Whether you design fashion, run hospitality sites or supply large corporates that need your emissions data, the principles are the same. What changes is which topics are material and who holds the data.

SR‑FY2026sustainability‑statement
  1. R1Double materiality assessedPASS
  2. R2Datapoints mapped to sourcesPASS
  3. R3Boundaries & factors frozenPASSScope 3 method recorded for every material category
  4. R4Data reconciled to financePASS
  5. R5Calculations re‑performedPASS
  6. R6Assurance pack completePASS
Estimates: flagged & justified→ Published

Example reporting record. Every figure traces to its source.

SHEET 01Rationale

ESG reporting has become an engineering problem

Disclosure has moved from a narrative report to hundreds of datapoints, drawn from finance, operations, people and the supply chain, that an assurer will test. Spreadsheets and goodwill don’t scale to that.

Hundreds of datapoints, dozens of owners

Every disclosure needs a definition, an owner, a source and a method. Without that, each reporting cycle starts again from a blank spreadsheet and the same questions get asked every year.

Most of the footprint sits with someone else

For most companies, Scope 3 makes up the majority of emissions, and that data is held by suppliers and customers. Collecting it is a systems integration problem, not a survey.

Auditors will test it

Under CSRD, sustainability statements need independent assurance, and ISSA 5000 sets the standard assurers work to. They look for what a test manager looks for: traceability, controls and evidence.

The standards keep moving

The EU’s 2025 simplification is reshaping ESRS scope and datapoints, the GHG Protocol is revising its standards, and the UK is introducing standards based on ISSB. Your reporting has to absorb change without starting again.

SHEET 02Frameworks

One discipline across every framework

The frameworks overlap more than they differ. We treat each one as a set of requirements, map them once to a single data model, and trace every disclosure back to its source, so one dataset serves every report.

GHG

GHG Protocol

The basis of almost every carbon disclosure: Scope 1, 2 and 3 inventories.

  • Organisational and operational boundaries
  • Location‑ and market‑based Scope 2
  • Scope 3 screening and a method per category
  • Emission factors under version control
ESRS

ESRS (CSRD)

The EU’s sustainability reporting standards, built on double materiality.

  • Double materiality as a baselined requirement
  • Disclosure requirements mapped to datapoints and owners
  • Climate disclosures linked to the GHG inventory
  • Ready for digital tagging
GRI

GRI Standards

The most widely used voluntary standards, with sector standards for specific industries.

  • Universal Standards and material topics
  • Topic and sector standards where they apply
  • A content index traced to evidence
ISSB

ISSB and UK SRS

Investor‑focused sustainability and climate disclosure (IFRS S1 and S2).

  • Climate risks, opportunities and transition plans
  • Connected to the financial statements
  • The same GHG inventory, reused
REQ

Customer and rater requests

What large customers and rating bodies ask of their suppliers.

  • CDP and EcoVadis submissions
  • Supplier emissions‑reduction targets
  • Product‑ and customer‑level footprints
ASR

Assurance readiness

Evidence an assurer can follow from the published figure back to its source.

  • Controls over collection and calculation
  • Reconciliations and review trails
  • Prepared for ISSA 5000, ISAE 3000 and ISAE 3410 engagements
SHEET 03Lifecycle

The V‑model, applied to a reporting cycle

Each level of definition on the left has a matching check on the right. Every year’s assurance findings feed the next cycle’s baseline, so the process gets faster and cleaner each time.

V-model lifecycle for an ESG reporting cycle Definition stages descend on the left: materiality and scope, disclosure requirements, data architecture, calculation design. Collection and calculation sit at the base. Checks ascend on the right: calculation tests, data reconciliation, disclosure review, assurance. Each pair is linked by traceability, and assurance findings loop back to the next cycle's materiality and scope. assurance findings → next cycle assurance criteria review checklist reconciliation rules tests Materiality & scopeimpacts · risks · boundary Disclosure needsdatapoints · owners Data architecturesources · lineage Calculation designmethods · factors Collect · calculateversioned data & factors Calculation testsre‑performance · variance Data reconciliationcompleteness · accuracy Disclosure reviewevery figure traced Assurancefindings · sign‑off DEFINITION ↓ ↑ VERIFICATION

Assurance findings loop back into the next cycle

  1. assurance criteriaMateriality & scopeimpacts · risks · boundaryAssurancefindings · sign‑off
  2. review checklistDisclosure needsdatapoints · ownersDisclosure reviewevery figure traced
  3. reconciliation rulesData architecturesources · lineageData reconciliationcompleteness · accuracy
  4. testsCalculation designmethods · factorsCalculation testsre‑performance · variance
  5. Collect · calculateversioned data & factors
FIG 3.1 · reporting cycle, after ISO/IEC/IEEE 15288 technical processesdashed = traceability link
SHEET 04Reporting gates

A reporting cycle run like a release

Each gate has a clear question, a named decision‑maker and evidence that can be checked. This gate model is our starting point, tailored to the frameworks each organisation reports to.

GateQuestion it answersEvidence requiredFramework check
R0ScopeWhat must we report, and to whom?Applicable regulations, customer and investor requests, reporting boundary, timetableWhich of ESRS, GRI, ISSB and customer frameworks apply
R1Materiality baselineDo we agree what is material?Double materiality assessment, stakeholder input, approved topic listESRS double materiality and GRI material topics
R2Data & method baselineDo we know where every number comes from?Datapoint register with owners and sources, calculation methods, emission factor setGHG Protocol boundaries and a method for each Scope 3 category
R3Collection completeIs the data complete and reconciled?Completeness checks, reconciliations to finance and operations, supplier response logEstimates flagged and justified
HOLD if a material gap is unexplained
R4Ready for assuranceWould an assurer reach the same figure?Calculation test results, review trail, controls evidence, draft statementEvery disclosure traced to source, ready for ISSA 5000
R5PublishedDid we say only what the evidence supports?Assurance report, approved statement, tagged filing, findings logClaims checked against evidence; findings carried into the next cycle
SHEET 05Sectors

Same principles, different material topics

The engineering stays the same. What changes by industry is where the impacts sit, who holds the data, and what customers and regulators ask for.

Fashion & textilesGHG · ESRS · GRI

A footprint that sits deep in the supply chain

Material
Scope 3 emissions from raw materials, wet processing and manufacturing; water and chemicals; working conditions across tiers of suppliers; product durability and end of life.
Hard data
Most of the impact sits several tiers away from the brand, with suppliers who report differently, if at all. Emerging EU product rules, including digital product passports, ask for data at product level.
We engineer
A supplier data model traced from each material topic to the tier and supplier that holds the data, Scope 3 methods that move from spend‑based estimates to supplier‑specific data over time, and controls that keep estimates visible rather than hidden.
Hospitality & food serviceGHG · GRI

Many sites, many operators, one set of numbers

Material
Energy and refrigerants across every site; food sourcing and food waste; water; employee wellbeing and fair work.
Hard data
Data is spread across sites, landlords, franchisees and concession partners, each with its own meters, invoices and systems. Franchised and leased sites raise boundary questions under the GHG Protocol.
We engineer
Site‑level data collection designed once and repeated, the boundary decision for each franchise and lease recorded with its reasoning, energy and waste data reconciled to invoices, and a reporting cycle that runs to a timetable like any other release.
Suppliers to large corporatesGHG · REQ

Your Scope 1 and 2 is your customers’ Scope 3

Material
The emissions and practices your customers report as part of their own supply chain; product carbon footprints; ethics, labour and governance controls.
Hard data
Every large customer asks in a different format: CDP, EcoVadis, bespoke questionnaires, supplier portals and reduction‑target requests. Without one source of truth, every answer is rebuilt by hand.
We engineer
One governed dataset that answers each question once and reuses the answer across every request, emissions allocated to each customer, and traceability so every answer can be defended in a tender or an audit.
SHEET 06Engagements

Ways to work together

Diagnostic

ESG reporting health check

An independent review of your reporting against the frameworks you report to: requirements, data, controls and readiness for assurance.

You get: a RAG‑rated findings report and a prioritised remediation plan.
Set‑up

Reporting lifecycle & controls set‑up

Design a reporting cycle with gates, a datapoint register, data lineage and controls that your teams can run every year.

You get: gate definitions, a datapoint register, RACI and a pilot on your next reporting cycle.
Ongoing

Embedded ESG reporting lead

Part‑time leadership of your reporting cycle while you build the in‑house capability.

You get: an accountable lead in your sustainability, finance and audit forums.
SHEET 07Case study

Proven on 350,000 scoring events a cycle

The same engineering, applied to ESG data at scale, for one of the organisations that scores other companies on ESG.

ESG ratings · Scoring operationsSE · GV

A scoring cycle cut from four months to nine weeks, delivered on time to the day

Challenge
One of the largest ESG scoring companies needed its most complex scoring automations to run reliably and deliver on time, with around 350,000 individual scoring events to manage in each cycle. Earlier attempts, both internal and through several tier‑one consultancies, had failed to build and operate processes that could do it.
Approach
Applied systems engineering methods to the process design, building in control and feedback loops so that every stage was measured, checked and corrected while the cycle ran. The design was refined over four annual cycles.
Result
The scoring cycle fell from three to four months to nine weeks. Every annual delivery landed on the scheduled day, with significant cost savings across the business.
SHEET 08About

Part of Systems Management

ESG management is a practice area of Systems Management, the systems engineering and enterprise architecture practice. It applies the same disciplines (requirements, architecture, test, governance and release) to sustainability data.

We work alongside sustainability, finance and operations teams, and design the reporting process with the assurer in mind from the first day, not the last week.

Our three decades of systems work are described on the main site’s case studies.

  • Traceable by defaultEvery disclosure has a datapoint, every datapoint has a source, every source has an owner.
  • Proportionate controlEffort goes where materiality and assurance risk are highest.
  • Evidence over assertionA claim is only as strong as the data behind it.

Reporting season shouldn’t be a scramble. Let’s engineer it.

Every figure rebuilt by hand is paid for twice: once in effort, and again when the assurer asks where it came from. Tell us what you report, and to whom.

Email us today to arrange a discovery session. We’ll come back with an initial view of where your reporting is losing time and money, or soon will, and how to stop it.