CSRD Double Materiality in 2026, Why Assessments Take 6 Months and the 6 Week Workflow That Fixes It

CSRD Double Materiality in 2026, Why Assessments Take 6 Months and the 6 Week Workflow That Fixes It

Most double materiality assessments at mid market companies do not fail because teams misunderstand CSRD.

They fail because the process becomes the work.

Six months in, there are dozens of interviews, competing topic lists, and no agreed IRO register. The assessment has expanded into a stakeholder engagement exercise, rather than producing a clear, defensible output.

For ESG Managers already balancing reporting, audits and internal requests, this creates a familiar problem. The same topics are analysed multiple times across ESRS, GRI and internal risk processes, with no shared structure.

This is avoidable.

The root problem, double materiality is treated as engagement, not as a data workflow

Guidance from EFRAG IG 1 (2024) and GRI 3 Material Topics is clear that impact materiality and financial materiality require both evidence and judgement.

Yet in practice, many teams default to:

• Long stakeholder interview cycles

• Manual topic long lists

• Separate scoring exercises for each framework

• Late stage alignment with risk and finance

This creates three structural issues:

1. Duplication across frameworks
   The same ESG topics are assessed separately for ESRS materiality assessment, GRI disclosures and investor requests.

2. No shared evidence layer
   Scores are based on fragmented inputs, making them hard to defend or revisit.

3. Delayed decision making
   Judgement calls happen late, when the dataset is already inconsistent.

The result is predictable. Timelines stretch, confidence drops, and outputs stall.

A real pattern seen in mid market teams

A UK headquartered B2B software company with around 900 staff started a CSRD double materiality project in late 2025.

Six months later:

• 40 plus stakeholder interviews completed

• Two competing shortlists of material topics

• No agreed IRO register

The materiality assessment had become the project itself, rather than a structured output.

The DMA Parallelisation Framework

To fix this, Ella applies a named approach:

The DMA Parallelisation Framework

Instead of running steps sequentially, the workflow separates what can be automated from what must remain human judgement.

The framework has three layers

1. Evidence layer
   All available data is collected and structured upfront

2. Scoring layer
   Initial impact and financial materiality scoring is run in parallel

3. Judgement layer
   ESG leads review, adjust thresholds and make final calls

This aligns with how ESRS, GRI and ISSB frameworks expect materiality to be evidenced, without repeating work.

The 6 week double materiality workflow

This is not a claim of guaranteed timelines. It is what becomes possible when the workflow is structured correctly.

Week 1 to 2, Build the topic and evidence base

• Generate a company specific ESRS topic long list

• Pull from policies, prior reports, risk registers and peer disclosures

• Map topics to ESRS, GRI and ISSB once, not multiple times

This creates a single source of truth for impact materiality and financial materiality.

Week 2 to 3, Run first pass scoring in parallel

• Apply structured scoring across all topics

• Use sector data, peer disclosures and company inputs

• Surface the evidence behind each score

At this stage, no stakeholder input is required yet.

Week 3 to 4, Targeted stakeholder engagement

• Generate structured surveys and interview guides by persona

• Focus only on topics where input changes outcomes

• Ingest responses into a comparable scoring matrix

This reduces interview volume and increases consistency.

Week 4 to 5, Draft IRO register and matrix

• Produce an initial impact, risk, opportunity register

• Map directly to ESRS topic structure

• Build a working materiality matrix

This turns inputs into outputs early.

Week 5 to 6, Human judgement and sign off

• Flag thresholds and borderline topics

• ESG lead reviews and adjusts

• Final materiality decisions are documented and justified

The key point is simple. Human judgement is preserved, but applied where it matters.

Where this approach works, and where it does not

Works well when

• The company already has fragmented ESG data

• Multiple frameworks are in scope, ESRS, GRI, ISSB

• The ESG lead needs defensible outputs quickly

• There is pressure from investors or PE stakeholders

Less effective when

• No internal documentation exists at all

• Leadership alignment on ESG is missing

• The goal is purely exploratory rather than compliance driven

In these cases, stakeholder engagement still plays a larger role.

How Ella runs the workflow in practice

Ella, an AI ESG agent, focuses on the evidence and scoring layers so that teams do not repeat work.

Typical workflow:

• Pulls a company specific ESRS topic long list from documents, policies, risk registers, peer benchmarks and customer questionnaires

• Runs first pass scoring across impact and financial materiality, with visible evidence behind each score

• Generates stakeholder engagement packs and ingests responses into a structured matrix

• Produces a draft IRO register mapped to ESRS topics

• Flags judgement calls for ESG leads, rather than hiding them

This is where Ella differs from tools like Datamaran, which are strong on external signal tracking. Ella runs the end to end double materiality workflow, including internal evidence and output generation.

A contrarian point, more interviews do not improve materiality quality

There is a common assumption that more stakeholder interviews lead to better outcomes.

In practice, this often creates:

• Conflicting inputs that are hard to reconcile

• Bias towards louder stakeholders

• Delays in decision making

Guidance from EFRAG (2024) emphasises evidence and documentation, not volume of engagement.

Fewer, better targeted inputs, combined with structured scoring, produce more defensible results.

How to avoid doing the work twice across CSRD, GRI and ISSB

The key is not to map frameworks at the end.

Instead:

• Build a single topic list aligned to ESRS

• Map GRI and ISSB at the same time

• Use one scoring model across all frameworks

• Store evidence once, reuse everywhere

This removes duplication and ensures consistency across disclosures.

For teams managing multiple reporting obligations, this is the difference between repeat work and scalable process.

Internal links to explore

• ESG reporting software overview

• How long ESG certifications take and where time is lost

• Book a demo to see the workflow in practice
  

See how the workflow runs in practice

For ESG teams facing a six month timeline, the key question is not whether double materiality is required.

It is how to structure it so the work is done once.

See how Ella runs a double materiality assessment in parallel with your team:
https://useella.com/book-demo