Building on the four-part series on substaintability business, this practical analysis draws on observed successes and recurring challenges across organisations of all sizes. These steps are designed for immediate implementation, regardless of an organisation’s level of maturity.

1. Start Small but Start Now – The ‘Three Metric’ Rule

Do not wait to become an ESG expert. The most effective approach is to pick two or three metrics that matter most to your business and begin tracking them consistently. Examples:

  • Energy consumption per unit of output

  • Employee turnover and gender diversity at management level

  • Percentage of suppliers with basic emissions data

Integrate these metrics into your monthly board pack or operational dashboard. Use existing spreadsheets if dedicated tools are not yet available. The goal is to embed sustainability into routine decision-making, not to create a parallel reporting factory.

2. Frame Sustainability as Risk – The ‘Avoided Loss’ Conversation

Many leaders respond more readily to risk than to opportunity. Translate sustainability actions into avoided losses and opportunity costs:

  • Avoided loss example: If you invest in energy efficiency, calculate not only the cost saving but also the future carbon tax or regulatory penalty you will not pay.

  • Opportunity cost example: If you delay a circular product redesign, estimate the market share you may lose to competitors who act sooner.

For every sustainability initiative, prepare a one-page summary showing (a) financial benefit, (b) risk reduction, and (c) avoided cost. Present this alongside traditional NPV and IRR, which often underweight long-term climate and social factors.

3. Data First, Tools Second – A Hierarchy of Controls

The most common mistake is purchasing a sophisticated ESG software platform before fixing data quality. Follow this hierarchy:

Step Practical Action
1. Data ownership Assign one person per metric (e.g., HR owns diversity, facilities own energy)
2. Data definition Document exactly how each metric is measured (e.g., “Scope 2 electricity based on market-based method”)
3. Basic controls Implement completeness checks (e.g., all sites reported) and reasonableness reviews (e.g., compare with prior year)
4. Technology Only then invest in automation or AI tools to reduce manual effort

Conduct a quick “data readiness” audit. If more than 20% of your sustainability data relies on spreadsheets without version control, pause tool selection and fix governance first.

4. Internal Reporting as a Test Bed – Even When Regulation Pulls Back

Regulatory mandates may slow or shift (e.g., EU CSRD scope reductions), but leading organisations continue to produce sustainability information internally. Use voluntary internal reporting to:

  • Improve data quality and workflows

  • Train teams on new processes

  • Prepare for future mandates or customer demands

Create an internal “sustainability management report” – no external publication required. Use it to drive operational decisions (e.g., supplier selection, product design) and to build confidence before public disclosure.

5. Cross-Functional Collaboration – Breaking the Silo

Sustainability data is rarely owned by finance alone. Successful organisations establish cross-functional working groups that meet monthly. Typical members:

  • Finance (controls, valuation)

  • Operations (energy, waste, supply chain)

  • HR (social metrics, talent)

  • Legal / compliance (regulatory mapping)

Schedule a 90-minute workshop with these functions to map three things: (1) what data each already collects, (2) what data is missing, and (3) who will fill the gaps. Assign a rotating chair to maintain momentum.

6. Disclosure Timing – A Staged Approach to Protect Competitive Advantage

Do not disclose opportunities too early. Use a staged model:

Stage Communication channel Level of detail
Ideation Internal board / strategy update Qualitative, high-level
Resource committed Investor briefings, analyst calls Semi-quantitative (range of outcomes)
Execution certainty Annual report, sustainability report Quantified and, where possible, monetised

For any material sustainability opportunity, document the current stage and the trigger for moving to the next stage (e.g., “Board approval of capital” or “Signed customer contract”). This prevents over-promising and manages stakeholder expectations.

7. Language Matters – From Jargon to Business Logic

Terms like “circular economy,” “Scope 3,” and “double materiality” can alienate boards and operational staff. Translate sustainability into plain business language:

  • Instead of “decarbonisation pathway” → “plan to reduce energy costs and regulatory risk”

  • Instead of “social licence to operate” → “employee retention and customer trust”

  • Instead of “natural capital” → “resilience to water or raw material shortages”

Review your last three sustainability presentations. Replace at least five technical terms with plain business equivalents. Test the revised version on a non-sustainability colleague – if they understand it, keep it.

8. Quick Wins for SMEs and Smaller Practices

Small and medium enterprises often lack dedicated sustainability teams. Prioritise these low-cost, high-impact actions:

  • Customer demand: Ask your top five customers if they require sustainability data. Often they will share their templates – use them.

  • Supplier collaboration: Join a sector-specific initiative to share data collection costs (e.g., a common platform for carbon accounting).

  • Existing systems: Add sustainability fields to your ERP or accounting software (e.g., supplier ESG score, product carbon intensity) before buying new software.

Within one week, identify one sustainability metric that your largest customer or lender already asks for. Build a simple tracking sheet for that single metric. Once stable, add a second.

9. Board Engagement – The ‘Five Question’ Framework

To move boards beyond passive compliance, finance professionals should ask these five questions at the next audit or risk committee meeting:

  1. Which sustainability-related risks could materially affect our solvency within 3 years?

  2. What would be the financial impact of losing a major customer due to poor ESG performance?

  3. Are our capital allocation decisions explicitly weighing long-term resilience against short-term returns?

  4. Who in management is accountable for each ESG metric, and what is their performance target?

  5. If a competitor captures market share by being more sustainable, how will we respond?

Put these questions in writing as a formal “risk inquiry” to the board. Document the responses and any gaps.

10. Use AI and Automation for Efficiency – But Only After Data Hygiene

Once data definitions and ownership are clear, AI tools can dramatically reduce manual effort. Current practical applications include:

  • Invoice scanning: AI extracts carbon intensity from purchase invoices automatically

  • Narrative generation: Draft sustainability opportunity descriptions from structured data inputs

  • Exception flagging: Automatically highlight data points that deviate from expected ranges

Identify one high-volume, repetitive task (e.g., collecting utility bills from 20 sites). Pilot an AI tool on that single task. Measure time saved before expanding.

The Practical Mindset

Instead of… Do this…
Waiting for perfect data Start with best guesstimates and improve over time
Buying a tool first Fix data ownership and definitions first
Disclosing everything early Stage communication by level of certainty
Using sustainability jargon Translate into risk, cost, and revenue terms
Working in a silo Form a monthly cross-functional working group
Aiming for full compliance Build internal reporting as a test bed

The consistent message from observed practice is clear: perfection is the enemy of progress. Organisations that begin with two or three metrics, apply existing financial discipline, and frame sustainability as risk management consistently outperform those that wait for regulatory certainty or perfect systems.

Professional Accountants are already equipped with the core skills – controls, quantification, assurance – to lead this transition. The only missing ingredient is starting.