🌿 Veridis
Veridis Solutions

Our AI Solutions

Three focused engagements designed for organisations seeking practical applications in sustainability measurement, knowledge access, and risk preparedness.

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Our Approach

We structure engagements around specific problem domains where we can combine machine learning expertise with substantive understanding of the challenge space. Each solution reflects our commitment to building systems that acknowledge uncertainty, cite sources, and integrate sustainably with existing workflows.

Rather than pursuing general AI capabilities, we focus on targeted applications where clear success criteria exist and where thoughtful implementation can produce meaningful organisational value. Our methodology emphasises stakeholder collaboration, iterative refinement, and realistic expectations.

Solution Details

AI for Sustainability Analytics

6-10 weeks | SGD 1,450

Development of analytical systems that help organisations measure, monitor, and improve their environmental and social sustainability performance. Applications include carbon footprint modelling, supply chain sustainability scoring, ESG data analysis, and resource consumption optimisation.

Key Benefits

  • Transform ESG data into actionable insights rather than abstract metrics
  • Identify improvement opportunities across sustainability dimensions
  • Track progress against targets with evidence-based measurement
  • Support reporting requirements with transparent methodology

Process Steps

  1. 1.Sustainability scope definition and data assessment
  2. 2.Analytical model development and validation
  3. 3.Dashboard creation and data pipeline integration
  4. 4.Stakeholder training and handover

Deliverables

Analytical models, sustainability dashboard, data integration pipeline, reporting framework, methodology documentation, and training materials.

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Sustainability Analytics
Conversational Search

Conversational Search Interface

8-12 weeks | SGD 1,580

Design and development of search experiences that allow users to find information through natural conversation rather than keyword queries. These interfaces combine language understanding with your knowledge repositories to provide contextual, sourced answers to complex questions.

Key Benefits

  • Enable natural language queries instead of keyword searches
  • Provide contextual answers with source citations
  • Handle complex multi-part questions gracefully
  • Acknowledge uncertainty when answers are unclear

Process Steps

  1. 1.Knowledge base assessment and architecture design
  2. 2.Conversational system development and integration
  3. 3.Response quality framework implementation
  4. 4.User testing, refinement, and deployment

Deliverables

Conversational architecture, knowledge integration pipeline, response quality framework, user testing results, deployment documentation, and maintenance guidelines.

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AI Incident Response Planning

3-5 weeks | SGD 720

A consultative engagement to develop your organisation's preparedness for AI system failures, unexpected behaviours, or adverse outcomes. We work with your risk management, technology, and communications stakeholders to create response protocols, escalation procedures, communication templates, and post-incident review processes.

Key Benefits

  • Concrete response procedures for AI system failures
  • Clear escalation paths and decision frameworks
  • Communication templates for different scenarios
  • Tested preparedness through tabletop exercises

Process Steps

  1. 1.Risk landscape assessment and stakeholder interviews
  2. 2.Response playbook and protocol development
  3. 3.Tabletop exercise design and facilitation
  4. 4.Refinement based on exercise learnings

Deliverables

Incident response playbook, escalation matrix, communication templates, tabletop exercise materials, post-incident review framework, and training session.

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Incident Response

Solution Comparison

Feature Sustainability Analytics Conversational Search Incident Response
Duration 6-10 weeks 8-12 weeks 3-5 weeks
Investment SGD 1,450 SGD 1,580 SGD 720
Technical Complexity Moderate High Low
Domain Expertise Required High Moderate Moderate
Data Integration —
Ongoing Maintenance Yes Yes Minimal
Best For Sustainability officers, ESG teams Knowledge-intensive organisations Risk management, operations teams

Best for ESG Focus

Choose Sustainability Analytics if your priority is measuring and improving environmental and social performance with evidence-based insights.

Best for Knowledge Access

Choose Conversational Search if you need to make substantial knowledge bases accessible through natural language queries with source citations.

Best for Risk Preparedness

Choose Incident Response Planning if you're deploying AI in operational contexts and need concrete procedures for handling failures.

Technical Standards

Security & Privacy

Data encryption at rest and in transit. Access controls aligned with your security policies. Compliance with Singapore PDPA and relevant sector regulations.

Performance Metrics

Baseline accuracy measurement. Response time monitoring. Error pattern tracking. Degradation thresholds with alerting mechanisms.

Support Approach

Post-delivery support period included. Training for maintenance teams. Documentation for troubleshooting. Extended support available on request.

Quality Assurance

Systematic testing with holdout data. Validation against realistic scenarios. Performance comparison with baseline approaches where applicable.

Development Standards

Version control for all code. Reproducible builds. Automated testing where practical. Clear separation of configuration and code.

Documentation

Architecture documentation. Model methodology descriptions. Deployment procedures. Maintenance guidelines. Assumption and limitation notes.

Discuss Your Requirements

Not sure which solution fits your needs? We can help you assess your requirements and recommend the most appropriate approach during an initial consultation.

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