CX
Cortexial
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AI solutions overview

Service Areas

Three solutions. Each one complete.

We've chosen depth over breadth. Every Cortexial service comes with a documented methodology, agreed benchmarks, and structured handover to your internal team.

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Our Methodology

How we approach every engagement

Every Cortexial project follows a structured four-phase approach. Phases don't overlap and each one produces documented outputs before the next begins. This isn't bureaucratic — it's how we ensure nothing gets built on shaky foundations.

01

Discovery

Process mapping, data assessment, stakeholder interviews, and scope agreement.

02

Configuration

Model selection, workflow design, extraction rule setup, and integration architecture.

03

Validation

Benchmark testing, accuracy verification, edge case handling, and stakeholder review.

04

Handover

Operator training, documentation delivery, and structured post-handover check-in.

Quality Standards

  • Benchmarks agreed in discovery, verified before project close
  • All models documented with assumptions and limitations
  • Open-standard integrations — no proprietary lock-in
  • PDPA-compliant data handling from day one
  • Senior consultant review on all deliverables

Solution 01

Intelligent Document Processing

This service designs and implements AI-powered workflows for extracting, classifying, and routing information from unstructured documents. The engagement covers document type analysis, extraction model configuration, validation rule design, and integration with existing business systems.

Consultants work closely with operations teams to understand current manual processes and identify where augmentation will have the clearest impact. Deliverables include a configured processing pipeline, accuracy benchmarks, and operator training documentation.

Key Benefits

  • Reduces manual document handling time significantly
  • Consistent extraction accuracy across high document volumes
  • Configurable validation rules adapted to your document types
  • Integrates with existing ERP and document management systems
  • Operator training included — team independence from day one

Typical Timeline

6–10 weeks

Starting Price

MYR 4,100

Best Suited For

Legal, Insurance, Logistics

Output

Configured pipeline + docs

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Document processing pipeline

Process Steps

  1. Document type analysis and intake mapping
  2. Extraction model selection and configuration
  3. Validation rule design and testing
  4. Business system integration
  5. Benchmark verification and operator training
Conversational AI interface

Process Steps

  1. Conversation flow mapping and stakeholder alignment
  2. Intent taxonomy and entity development
  3. Response crafting and tone calibration
  4. Integration planning and testing cycles
  5. Deployment and monitoring dashboard setup

Solution 02

Conversational AI Design

This service focuses on designing and developing intelligent conversational interfaces — chatbots, voice assistants, and interactive FAQ systems. The engagement includes conversation flow mapping, intent taxonomy development, response crafting, and integration planning.

Consultants emphasise natural dialogue design that reflects your organisational tone and handles edge cases gracefully. Testing and iteration cycles are built into the timeline. Output includes a deployed conversational system, training corpus, and performance monitoring dashboard.

Key Benefits

  • Natural, on-brand conversational tone designed around your organisation
  • Handles edge cases and ambiguous queries gracefully
  • Supports English and Bahasa Malaysia contexts
  • Performance monitoring dashboard included in delivery
  • Training corpus documented for future expansion

Typical Timeline

8–12 weeks

Starting Price

MYR 5,800

Best Suited For

Customer Service, Helpdesk

Output

Deployed system + corpus

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Solution 03

Predictive Analytics Implementation

A consulting and implementation service that helps organisations build forecasting and pattern recognition capabilities using their existing data assets. The engagement covers use case identification, data preparation, model selection, validation, and dashboard creation for ongoing monitoring.

Consultants ensure models are interpretable and actionable, with clear documentation of assumptions and limitations. Applications span demand forecasting, churn prediction, maintenance scheduling, and resource planning. Includes stakeholder training and a handover protocol for internal team ownership.

Key Benefits

  • Forecasting built on your existing data — no new infrastructure required
  • Interpretable models with documented assumptions
  • Monitoring dashboard included — track model performance over time
  • Stakeholder training for non-technical decision makers
  • Internal team handover protocol — built for ownership, not dependency

Typical Timeline

10–16 weeks

Starting Price

MYR 7,900

Best Suited For

Logistics, Retail, Finance

Output

Models + dashboard + docs

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Predictive analytics dashboard

Process Steps

  1. Use case identification and data assessment
  2. Data preparation and feature engineering
  3. Model selection, training, and validation
  4. Dashboard creation and performance setup
  5. Stakeholder training and handover protocol

Decision Guide

Which solution fits your situation?

Consideration Document Processing Conversational AI Predictive Analytics
Primary use Extract and route data from documents Automate customer or internal conversations Forecast outcomes from existing data
Best suited for Legal, insurance, logistics Customer service, helpdesk, scheduling Demand, churn, resource planning
Data required Sample documents (varied types) Historical conversation logs (helpful) Historical structured data (12+ months)
Timeline 6–10 weeks 8–12 weeks 10–16 weeks
Starting price MYR 4,100 MYR 5,800 MYR 7,900
Monitoring dashboard
Operator training

Not sure which fits your situation? Reach out and we'll help you work through it — no commitment required.

Standards

Shared across all solutions

Security & Privacy

Written data handling agreements before project data is accessed. PDPA 2010-aligned protocols for every engagement. Data not retained beyond the agreed engagement period.

Performance Metrics

Benchmarks agreed during discovery and verified before project close. Iteration cycles included when benchmarks aren't initially met — at no additional cost.

Client Support

Direct consultant access throughout. Post-handover support arrangements available for teams wanting continued access to the delivery team during the first months of operation.

Pricing

Transparent starting prices

These figures represent the starting point for each service. Final project fees are confirmed in a written proposal after a discovery conversation — there are no hidden additions.

Document Processing

MYR 4,100

per project

  • Document type analysis
  • Extraction pipeline setup
  • System integration support
  • Accuracy benchmarking
  • Operator training docs
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Conversational AI

MYR 5,800

per project

  • Conversation flow mapping
  • Intent taxonomy development
  • Testing & iteration cycles
  • Deployed system + corpus
  • Monitoring dashboard
Request Proposal

Predictive Analytics

MYR 7,900

per project

  • Data assessment & preparation
  • Model selection & validation
  • Forecasting dashboard
  • Stakeholder training
  • Handover protocol
Request Proposal

Take the next step

Let's find the right fit together.

A short discovery call costs you only time. We'll tell you honestly whether our services are likely to be a good fit for your situation.

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