Carbon data and ESG reporting workflows for sustainability consultants and environmental compliance teams.
Each one is purpose-built for sustainability operations rather than a generic template. They are set out in full below.
Centralise energy bills, fuel receipts, and activity data from every facility into one auditable dataset, with no more spreadsheet chaos.
Sustainability teams spend weeks chasing utility invoices, travel receipts, and facility records held in dozens of spreadsheets and email threads. Manual collation introduces transcription errors, gaps in coverage, and version-control nightmares that auditors quickly flag. When data quality is poor at the source, every downstream calculation from Scope 1 to Scope 3 is unreliable.
Disparate data sources
Energy bills, fuel logs, and fleet mileage sit in different systems with no single point of truth.
Manual transcription errors
Copy-paste workflows between spreadsheets introduce unit mismatches and double-counted entries.
Incomplete facility coverage
Smaller sites are routinely overlooked, leaving material gaps that compromise Scope 1 and 2 totals.
Audit readiness
Without a clear evidence chain, limited assurance engagements take longer and cost more.
Centralised data repository
Collect energy, fuel, refrigerant, and travel data in one structured workspace with automatic unit conversion.
Automated data requests
Trigger scheduled collection forms to site managers so every facility submits on time, every period.
Validation rules
Flag outliers, missing fields, and unit mismatches at the point of entry, before they reach the calculation engine.
Document attachment
Attach source invoices, meter readings, and supplier PDFs directly to each data record for full traceability.
Progress dashboards
Track collection completeness by facility, scope, and reporting period in real time.
Define the data fields, units, and emission-factor categories for each facility and scope.
Send data-collection forms to site contacts on a scheduled cadence with escalation reminders.
Run validation rules on submitted data; flag anomalies and attach source documents.
Reviewers sign off completed datasets, which feed directly into the emissions calculation workflow.
70%
Faster data collection
Automated request workflows and validation cut the typical collection cycle from weeks to days.
100%
Facility coverage
Scheduled reminders ensure every site submits data, eliminating the gaps that weaken carbon reports.
90%
Fewer transcription errors
Point-of-entry validation and direct upload replace manual copy-paste across spreadsheets.
Apply DEFRA conversion factors automatically to validated activity data and produce accurate tCO₂e totals, without formula errors.
Carbon consultants rely on complex, nested spreadsheet formulas to convert kilowatt-hours, litres, and kilometres into tonnes of CO₂ equivalent. A single broken cell reference or outdated emission factor can silently corrupt an entire report. Clients and auditors increasingly demand transparency over the calculation methodology, yet most firms cannot trace a final figure back to its source formula without significant effort.
Outdated emission factors
DEFRA publishes new conversion factors annually, yet many teams continue using last year's figures without realising.
Formula fragility
A single broken cell reference in a shared workbook can cascade errors across every scope total.
Lack of methodology transparency
Auditors cannot easily verify which factors and methodologies were applied to each data point.
Automated factor application
Map activity data to the correct DEFRA or custom emission factor automatically, with no manual look-ups.
Annual factor updates
Import the latest DEFRA conversion factor tables each year and apply them across all active reports.
Scope-level roll-ups
Aggregate tCO₂e totals by Scope 1, 2, and 3 with automatic sub-category breakdowns.
Calculation audit log
Every factor applied, unit converted, and total generated is recorded with a timestamp and user reference.
Variance alerts
Receive notifications when a calculated total deviates significantly from the previous period, catching data-entry or factor errors early.
Multi-methodology support
Switch between location-based and market-based Scope 2 methods within the same report.
Pull approved activity data from the collection workflow, already cleansed and unit-normalised.
Automatically match each data record to the appropriate DEFRA or custom conversion factor.
Compute tCO₂e at line level, then roll up into Scope 1, 2, and 3 category totals.
Senior consultants review variance flags, approve totals, and release figures for reporting.
Push approved totals into SECR, TCFD, or client-branded report templates.
95%
Reduction in formula errors
Automated factor mapping eliminates the manual look-up and copy-paste steps where most mistakes occur.
4x
Faster calculation cycles
What previously took days of spreadsheet work completes in minutes once validated data is released.
100%
Factor traceability
Every published figure links back to the specific DEFRA factor version, data source, and calculation step.
Generate Simpler Energy and Carbon Reports that meet Companies Act requirements, with every figure traced back to source data.
Qualifying organisations must disclose energy use and carbon emissions in their annual directors' report. For many sustainability teams, SECR reporting is a last-minute scramble: pulling numbers from multiple workbooks, chasing sign-offs, and reformatting tables to match the required narrative structure. Late or inaccurate submissions risk reputational damage and regulatory scrutiny.
Last-minute data chasing
Key energy and emissions figures are finalised weeks after the financial year closes, compressing the reporting window.
Inconsistent formatting
Each reporting cycle produces a slightly different table layout, making year-on-year comparison difficult.
Sign-off bottlenecks
Multiple stakeholders (finance, facilities, sustainability) must approve figures before publication, often via email.
Narrative compliance gaps
The qualitative narrative on energy-efficiency actions is frequently an afterthought, risking non-compliance.
SECR report builder
Auto-populate the mandatory disclosure table with UK energy use (kWh), global GHG emissions (tCO₂e), and intensity ratios.
Compliance checklist
A built-in checklist ensures every SECR requirement is addressed before the report is marked as complete.
Approval workflow
Route the draft report through sustainability, finance, and legal reviewers with deadline-tracked tasks.
Year-on-year comparison
Automatically display prior-year figures alongside current data for transparent trend reporting.
Import approved Scope 1 and 2 totals, UK energy consumption, and intensity metrics from the calculation workflow.
Auto-fill the mandatory disclosure table, intensity ratio, and methodology statement.
Draft the energy-efficiency actions narrative using guided prompts and prior-year content.
Send the completed draft through sustainability, finance, and board-level sign-off stages.
Generate the approved report in a format ready for inclusion in the directors' report.
60%
Faster report turnaround
Automated data pull and template population slash the time between year-end and report submission.
100%
Compliance coverage
Every mandatory SECR field is validated before the report can be finalised.
3x
Fewer revision cycles
Structured approval workflows and pre-populated narratives reduce back-and-forth between reviewers.
Maintain an immutable evidence chain from raw invoices to published figures, ready for limited assurance engagements.
Limited and reasonable assurance engagements for carbon reports are becoming standard practice. Auditors expect to trace any published figure back through the calculation methodology to the original source document. When evidence is scattered across email attachments, local drives, and shared folders, assurance engagements take longer, cost more, and frequently surface findings that delay report publication.
Fragmented evidence storage
Source invoices, meter readings, and calculation workbooks live in disconnected locations with no linking metadata.
Version-control failures
Multiple versions of the same spreadsheet circulate, making it unclear which set of figures is authoritative.
Lengthy assurance timelines
Auditors spend excessive time requesting and verifying supporting documents, extending the engagement by weeks.
Immutable audit log
Every data entry, edit, approval, and calculation is timestamped and attributed to a named user; nothing can be silently overwritten.
Linked source documents
Attach invoices, meter readings, and supplier statements directly to the data record they support.
Role-based access controls
Define who can enter, edit, approve, and export data, ensuring segregation of duties for assurance purposes.
Auditor read-only view
Grant external auditors scoped, read-only access to trace figures without risk of data modification.
Every entry, whether manual or imported, is linked to the supporting invoice, reading, or receipt.
Record which emission factor, methodology, and formula were applied to each line item.
Require named sign-offs at data-entry, calculation, and report-publication stages.
Generate a read-only view for the assurance provider with drill-down from totals to source documents.
50%
Shorter assurance engagements
Auditors access a single, linked evidence chain instead of chasing documents across multiple systems.
100%
Traceability
Every published figure links back to its source document, emission factor, and approval record.
0
Material findings
Complete evidence chains and segregation of duties eliminate the common findings that delay report sign-off.
Compare energy intensity and emissions across your portfolio of sites to identify reduction opportunities and prioritise capital investment.
Multi-site organisations struggle to compare emissions performance across facilities of different sizes, functions, and geographies. Without normalised benchmarks, capital investment decisions rely on gut feel rather than data. High-performing sites cannot share best practice because nobody knows which sites are truly leading and which are lagging.
Incomparable metrics
Raw emissions totals are meaningless when comparing a 2,000 m² office to a 20,000 m² warehouse.
No visibility of outliers
Underperforming sites hide in aggregate portfolio totals, delaying targeted intervention.
Misallocated capital
Energy-efficiency investments go to the loudest site manager, not the site with the greatest reduction potential.
Intensity benchmarking
Normalise emissions by floor area, revenue, headcount, or a custom denominator to enable like-for-like comparison.
Site-level scorecards
Generate a performance scorecard for each facility showing absolute emissions, intensity, trend, and ranking.
Reduction-opportunity ranking
Rank sites by reduction potential so capital investment is directed where it will have the greatest impact.
Trend analysis
Track intensity changes over multiple reporting periods to evaluate the effectiveness of interventions.
Pull validated emissions and energy data for each site from the collection workflow.
Divide absolute figures by floor area, FTE, revenue, or production units to create intensity metrics.
Produce a site-level scorecard with absolute totals, intensity ratios, peer ranking, and year-on-year trend.
Rank sites by reduction potential and feed insights into capital planning and net-zero roadmap decisions.
15%
Average intensity reduction
Identifying and addressing outlier sites typically delivers double-digit improvements within the first year.
100%
Portfolio visibility
Every facility has a normalised scorecard, making performance comparison transparent across the estate.
2x
Better capital allocation
Data-driven ranking ensures energy-efficiency budgets target the sites with the greatest payback.
Extend your carbon footprint beyond the fence line, capturing supply-chain, travel, and waste emissions across all 15 GHG Protocol categories.
For most organisations, Scope 3 emissions account for 70-90% of the total carbon footprint. Yet these upstream and downstream impacts are the hardest to measure: data sits with suppliers, logistics partners, and employees. Without a structured approach, teams either ignore Scope 3 entirely or produce estimates so rough they add little strategic value.
Data dependency on third parties
Supplier-specific emission data is rarely available, forcing reliance on spend-based proxies with wide uncertainty margins.
Category complexity
The GHG Protocol defines 15 Scope 3 categories, each with different data requirements and calculation methods.
Materiality uncertainty
Teams waste effort collecting data for categories that contribute negligible emissions while overlooking material hotspots.
Stakeholder engagement
Requesting emissions data from hundreds of suppliers requires a structured, repeatable process.
All 15 categories mapped
Pre-configured templates for every GHG Protocol Scope 3 category, from purchased goods to end-of-life treatment.
Hybrid calculation methods
Combine spend-based, activity-based, and supplier-specific data within a single category for progressive improvement.
Supplier data requests
Send structured questionnaires to suppliers and import their responses directly into your Scope 3 dataset.
Materiality screening
Run a rapid screening across all 15 categories to identify hotspots and focus detailed data collection where it matters most.
Data-quality scoring
Score each category by data quality (1-5 scale per GHG Protocol guidance) to track improvement year on year.
Perform a rapid materiality assessment to identify which Scope 3 categories are significant for your organisation.
Use spend-based estimates for low-materiality categories and targeted data requests for hotspot categories.
Apply the appropriate emission factors, calculate tCO₂e, and assign a data-quality score to each category.
Publish Scope 3 results alongside a data-quality improvement plan for progressive refinement.
15
Categories assessed
Every GHG Protocol Scope 3 category is screened for materiality, ensuring no significant source is missed.
80%
Hotspot coverage
Materiality screening focuses detailed data collection on the categories that typically account for 80% of Scope 3.
2x
Higher data-quality scores
Transitioning from spend-based proxies to activity-based and supplier-specific data doubles average quality ratings.
Consolidate environmental, social, and governance data into a single reporting workflow, aligned to GRI, SASB, and EU Taxonomy frameworks.
ESG disclosures require data from sustainability, HR, procurement, governance, and finance teams. Without a central workflow, each function gathers its metrics independently, using different definitions, timelines, and formats. The result is a fragmented, last-minute exercise that produces inconsistent disclosures and frustrates investors who expect comparable, decision-useful data.
Cross-functional data silos
Environmental metrics sit with sustainability, social data with HR, and governance data with company secretarial, with no single owner.
Framework proliferation
GRI, SASB, CDP, and EU Taxonomy each demand different metrics, increasing the reporting burden.
Inconsistent definitions
Different departments define the same metric differently, for example "employee turnover" may include or exclude contractors.
Multi-framework mapping
Map your data points to GRI Standards, SASB sector topics, CDP questions, and EU Taxonomy KPIs in a single workspace.
Cross-functional assignments
Assign metric ownership to the right department (HR for social, legal for governance, sustainability for environment) with deadline tracking.
ESG dashboard
Visualise performance across E, S, and G pillars with drill-down into individual metrics and trend lines.
Disclosure-readiness scoring
Score each metric by completeness, quality, and assurance status so you know exactly where gaps remain.
Report compilation workflow
Combine approved metrics, narratives, and case studies into a structured ESG report with version control.
Map required metrics to GRI, SASB, and EU Taxonomy KPIs, assigning each to a responsible department.
Each department submits its metrics through a structured form with standardised definitions and validation rules.
Sustainability leads review all submitted metrics, resolve inconsistencies, and approve for disclosure.
Assemble approved metrics, narratives, and visuals into the final ESG report, version-controlled and auditable.
50%
Less reporting effort
Cross-functional assignments and framework mapping eliminate duplicate data requests across departments.
3
Frameworks from one dataset
A single data-collection exercise feeds GRI, SASB, and EU Taxonomy disclosures simultaneously.
100%
Metric traceability
Every published ESG metric links to its data owner, source system, and approval record.
Evaluate and score your supply chain on environmental, social, and governance criteria, driving better procurement decisions and Scope 3 data quality.
Procurement teams are under growing pressure to assess supplier sustainability performance, for Scope 3 reporting, modern slavery compliance, and investor due diligence. Yet most organisations still manage supplier assessments through one-off questionnaires emailed as Word documents. Responses are inconsistent, scoring is subjective, and there is no mechanism to track improvement over time.
Ad-hoc questionnaire processes
Supplier assessments are run sporadically with no standardised questions, scoring, or follow-up.
Low response rates
Suppliers deprioritise lengthy, unstructured sustainability questionnaires that arrive via email.
No comparative scoring
Without a consistent framework, you cannot compare suppliers or track improvement year on year.
Standardised questionnaires
Send structured sustainability questionnaires covering carbon, waste, water, labour practices, and governance to every supplier.
Automated scoring
Score supplier responses automatically against your criteria and weight different ESG dimensions.
Year-on-year tracking
Monitor how each supplier's sustainability score evolves across assessment cycles.
Risk flagging
Automatically flag suppliers who score below your threshold or fail to respond within the deadline.
Procurement integration
Feed sustainability scores into procurement workflows so they influence sourcing decisions alongside cost and quality.
Configure questions, scoring weights, and thresholds for each ESG dimension relevant to your supply chain.
Send assessments to your supplier base with automated reminders and escalation for non-responders.
Auto-score each supplier, rank them against peers, and flag those below your minimum threshold.
Share results with underperforming suppliers, agree improvement actions, and reassess in the next cycle.
Use supplier scores and Scope 3 data contributions in your ESG and TCFD disclosures.
3x
Higher response rates
Structured, online questionnaires with automated reminders outperform emailed Word documents.
100%
Supplier comparability
Every supplier is scored on the same criteria, enabling transparent ranking and benchmarking.
40%
Better Scope 3 data
Engaging suppliers for primary data improves the quality and accuracy of Scope 3 emissions calculations.
Monitor energy consumption across your estate, detect anomalies early, and track progress against reduction targets, all in one place.
Most organisations only review energy consumption when the bill arrives, by which time the waste has already occurred. Without regular monitoring, base-load creep, equipment faults, and behavioural changes go unnoticed for months. Energy managers need near-real-time visibility to intervene quickly and demonstrate progress against net-zero targets.
Retrospective visibility only
Quarterly billing cycles mean energy anomalies are spotted months after they occur.
No target tracking
Reduction targets exist in strategy documents but are not tracked operationally against actual consumption.
Base-load creep
Gradual increases in out-of-hours consumption go unnoticed without trend monitoring.
Consumption dashboards
Visualise electricity, gas, and water consumption by site, building, or meter, with daily, weekly, and monthly views.
Anomaly detection
Automatically flag consumption spikes, base-load increases, and deviations from expected profiles.
Target tracking
Set absolute or intensity-based reduction targets and track actual performance against the glide path.
Billing validation
Cross-check supplier invoices against recorded consumption to catch billing errors and estimated reads.
Carbon impact view
Translate energy consumption into tCO₂e using grid emission factors for immediate carbon context.
Register each meter point, its utility type, and the site it belongs to in the energy management workspace.
Upload meter reads, half-hourly data, or supplier invoices, manually or via automated file import.
Define reduction targets and configure anomaly thresholds for each site or meter group.
Review dashboards, investigate flagged anomalies, and log corrective actions taken.
Generate periodic energy reports showing consumption trends, target progress, and cost savings delivered.
10-15%
Energy cost savings
Early anomaly detection and base-load management typically deliver double-digit percentage savings.
95%
Billing accuracy
Invoice validation catches estimated reads and billing errors before payment is processed.
Real-time
Target visibility
Reduction targets are tracked against actual consumption continuously, not just at year end.
Structure your climate-related financial disclosures across governance, strategy, risk management, and metrics, aligned to TCFD recommendations.
The Task Force on Climate-related Financial Disclosures requires organisations to report across four pillars: governance, strategy, risk management, and metrics & targets. Many sustainability teams treat TCFD as a carbon-reporting exercise, neglecting the qualitative disclosures on board oversight, scenario analysis, and risk-management processes that investors scrutinise most closely.
Governance gap
Board-level climate oversight exists on paper but lacks the documented evidence TCFD assessors expect.
Scenario analysis complexity
Teams struggle to translate climate scenarios (e.g., 1.5°C and 4°C pathways) into financial impact assessments.
Risk-management integration
Climate risks are managed in a separate register from enterprise risks, weakening the disclosure narrative.
Metrics fragmentation
Carbon metrics sit with sustainability, financial exposure with finance, and physical risks with operations, with no single view existing.
Four-pillar framework
Structured templates for each TCFD pillar (governance, strategy, risk management, and metrics & targets) with guided prompts.
Scenario analysis workbench
Document climate scenarios, physical and transition risks, and their potential financial impacts in a structured format.
Climate risk register
Maintain a dedicated climate-risk register that links to your enterprise risk framework for integrated reporting.
Metrics & targets dashboard
Track GHG emissions, energy intensity, and climate-related financial metrics against published targets.
Disclosure compilation
Compile all four pillars into a single TCFD report with cross-references, version control, and approval routing.
Document board and management oversight of climate-related risks and opportunities using guided templates.
Define climate scenarios, assess physical and transition risks, and estimate potential financial impacts.
Link identified climate risks to the enterprise risk register with owners, mitigations, and review dates.
Pull GHG emissions, energy data, and financial exposure metrics into the TCFD metrics template.
Assemble all four pillars, route through legal and board approval, and export the final disclosure.
100%
Pillar coverage
Every TCFD recommended disclosure is addressed, not just the metrics pillar that most teams default to.
60%
Faster disclosure cycle
Guided templates and cross-functional workflows cut the time from data gathering to published report.
Integrated
Risk management
Climate risks are embedded within the enterprise risk register rather than siloed in a sustainability document.
Tell us the one process causing the most pain and we will tell you whether it fits a 30-day pilot, and what the scope and fixed price would be.
