Didik AI Solutions

What We Offer

Three AI Integration Services, Carefully Scoped

Didik AI focuses on three domains where AI integration delivers meaningful, measurable value for Malaysian organisations — without requiring wholesale technology change.

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Our Methodology

How We Approach Every Engagement

Each Didik AI engagement follows a consistent structure — regardless of which service you choose. We begin with a discovery phase to understand your organisation's existing data environment, team capabilities, and stakeholder needs before proposing any solution. Implementation happens in stages, with clear checkpoints and written progress notes throughout.

All work closes with a knowledge transfer phase, during which your team receives the training, documentation, and practical guidance needed to maintain and develop the work independently. The engagement fee covers this entire arc — discovery through handover.

1

Discovery

Understand your environment, stakeholders, and goals before recommending an approach.

2

Design

Propose a tailored solution with a clear scope, timeline, and expected deliverables.

3

Implementation

Build and integrate the solution with milestone check-ins and iterative feedback.

4

Handover

Transfer knowledge through training, documentation, and a structured support period.

Service 01

AI-Powered Sustainability Analytics

This service applies AI modelling to sustainability data across your organisation — covering energy consumption patterns, carbon footprint tracking, waste reduction opportunities, and ESG reporting automation. The engagement addresses the full pipeline: from connecting your data sources to developing analytical models, designing visualisations, and aligning output with international reporting standards including GRI and Bursa Malaysia ESG requirements.

Designed for sustainability officers and operations directors who want data-informed environmental stewardship — and reporting they can stand behind.

Key Benefits

  • Automated ESG data aggregation from multiple internal sources
  • AI model development for energy and carbon pattern analysis
  • Reporting visualisations aligned to Bursa Malaysia and GRI frameworks
  • Waste reduction opportunity identification and prioritisation
  • Sustainability team training on model use and data interpretation

Engagement Fee

RM 780

Typical Duration

4 – 8 Weeks

AI Sustainability Analytics

Process Steps

1
Data source audit and integration scoping
2
AI model development and validation
3
Visualisation design and reporting alignment
4
Team training and documentation handover
AI Internal Communications Enhancement

Process Steps

1
Communication channel audit and audience analysis
2
AI tool evaluation and workflow integration design
3
Personalisation and analytics implementation
4
Communications team training and handover

Service 02

AI for Internal Communications Enhancement

This consulting and implementation service helps corporate communications and employee experience teams use AI to improve the reach, relevance, and impact of internal messages. The engagement covers AI-assisted message targeting, content personalisation, readership analytics, and feedback synthesis — giving your team a data-informed view of how internal communications are landing and where they can improve.

We begin with a communication audit to understand your current channels and audience segments, then evaluate and integrate appropriate AI tools, and close with training for your communications team. Designed for organisations where employee engagement with internal channels is a recognised priority.

Key Benefits

  • AI-assisted message targeting by role, location, or team
  • Content personalisation to improve readership and engagement rates
  • Readership analytics dashboards for communications leads
  • Feedback synthesis to surface recurring employee themes
  • Practical training for communications and HR teams

Engagement Fee

RM 2,000

Typical Duration

6 – 10 Weeks

Service 03

AI Model Explainability Consulting

This consulting engagement focuses on making AI model decisions interpretable — to the stakeholders, regulators, and end users who need to understand or scrutinise them. If your organisation is deploying AI in contexts where decision transparency matters (credit decisions, HR systems, operational approvals, regulatory submissions), this service provides the framework and documentation to support that transparency.

The engagement covers explainability method selection and implementation within your existing models, documentation standards that satisfy audit and compliance requirements, and stakeholder communication training so your team can explain AI behaviour in plain language. Suitable for risk, compliance, data, and technology functions.

Key Benefits

  • Selection of appropriate explainability methods for your models
  • Implementation of explainability in existing AI systems
  • Documentation standards aligned to regulatory requirements
  • Stakeholder communication training for technical and non-technical audiences
  • Audit-ready model documentation your compliance team can use

Engagement Fee

RM 3,690

Typical Duration

4 – 12 Weeks

AI Model Explainability Consulting

Process Steps

1
Model audit and explainability requirements assessment
2
Explainability method selection and implementation
3
Documentation development for compliance and auditors
4
Stakeholder communication training and handover

Choosing the Right Service

Solution Comparison

Not sure which service best fits your situation? This overview can help you identify where to start.

Consideration Sustainability
Analytics
Internal Comms
Enhancement
Model
Explainability
Engagement fee RM 780 RM 2,000 RM 3,690
Best for Sustainability & ops teams HR & comms teams Risk, compliance & data teams
Typical duration 4 – 8 weeks 6 – 10 weeks 4 – 12 weeks
ESG reporting output
Regulatory compliance support
Team training included
Documentation delivered

Start here if...

You're preparing ESG disclosures or sustainability reports

Start here if...

Employee engagement with internal channels is a current challenge

Start here if...

You're deploying AI and need decisions to be auditable

Standards

Shared Across All Services

PDPA Compliance

All data handling follows Malaysia's Personal Data Protection Act 2010. Client data is used only for the agreed engagement scope.

Measurable Deliverables

Every engagement defines success metrics before implementation begins, so you can assess outcomes clearly at handover.

Structured Knowledge Transfer

Training is built into the engagement timeline — not an optional extra — ensuring your team can maintain the work independently.

Written Documentation

Methodology notes, implementation guides, and user-facing materials are produced for all engagements.

Milestone-Based Progress

Progress is reviewed at defined milestones with written summaries — so you always know where the project stands.

Integration Without Replacement

We design solutions around your existing tools and workflows — minimising disruption and accelerating adoption.

Not Sure Which Service Fits?

We're happy to have a brief conversation about your organisation's situation and recommend where to begin — or whether a combined approach makes sense.

Request a Conversation