Generative AI
Design generative AI around a relevant business workflow when it fits the requirement.
AI-Powered Business Workflows
Build practical AI into real business workflows.
Codithic helps organizations explore, design, integrate, and build AI-powered capabilities around real business needs. The focus is on useful workflow improvements rather than AI for its own sake.
What We Engineer
AI engineering around real business needs.
Use AI where it improves real business workflows. These capability areas are applied where they fit the requirement.
AI-Powered Applications
Shape application experiences that include AI where the workflow needs it.
AI Integration
Connect an AI capability with existing applications and workflows where that connection is appropriate.
AI-Assisted Workflows
Support people with assisted steps inside an existing business process.
Machine Learning
Apply machine learning where it is relevant to the business requirement.
Emerging AI
Explore newer AI approaches where they offer practical value for the workflow.
Each engagement uses the capabilities that fit the business requirement.
How We Approach AI
From business problem to practical AI.
A practical path starts with the business problem and keeps people involved. The steps used depend on the requirement. The aim is a useful capability that can be validated and evolved with the business.
Conceptual approach: Understand the business problem, assess whether AI is appropriate, design the capability around the workflow, build the AI-enabled experience, integrate it into the application or process, validate the behavior and usefulness, then evolve based on business needs.
- 01
Understand
Understand the business problem.
- 02
Assess
Assess whether AI is appropriate.
- 03
Design
Design the capability around the workflow.
- 04
Build
Build the AI-enabled experience.
- 05
Integrate
Integrate it into the application or process.
- 06
Validate
Validate the behavior and usefulness.
- 07
Evolve
Evolve based on business needs.
AI works best when it fits the workflow.
A useful AI capability sits inside the application and the business process, and the output supports a defined next action.
Application, AI Capability, and Business Workflow stay connected. The AI capability operates in the application where the work happens, assists relevant parts of the workflow, and supports a defined business process.
Application
The AI capability operates in the application where the work already happens.
AI Capability
It assists a relevant part of the work. It does not replace the process around it.
Business Workflow
The output supports a defined next step in the business process.
Current Product AI
AI capabilities inside Codithic products.
The current product AI direction includes two approved capabilities.
Current
AI Order Capture
Assist with capturing order information from relevant business inputs and converting it into structured order information for the operational workflow.
Current
Intelligent Sales Assistant
Assist field sales users with relevant information and workflow support during sales activities.
AI Evolution
Build what is useful today. Expand what comes next.
Current
- AI Order Capture
- Intelligent Sales Assistant
Future / Planned
- RecommendationPlanned
- ForecastingPlanned
Recommendation and Forecasting are planned/future capabilities and are not represented as current product functionality.
Add AI without losing the application around it.
An AI capability can be added to an existing application when assessment and engineering work support it. Integration and modernization may be relevant where that application needs to evolve.
Conceptual path: Existing Application, AI Capability, Enhanced Workflow, then User or Business Process.
Existing Application
AI Capability
Enhanced Workflow
User / Business Process
Related services
Practical AI
Useful AI. Clear boundaries. Human-centered workflows.
Appropriate Use of AI
Use AI where it provides relevant value to the workflow.
Human Involvement
Keep people involved where business judgment or decisions are required.
Workflow Context
AI capabilities should operate with relevant business context.
Validation
Validate AI-generated or AI-assisted outputs appropriately.
Expected Behavior
Define what the AI capability is expected to do within the workflow.
Evolution Over Time
Improve and adapt capabilities as requirements evolve.
AI can support the distribution workflow.
AI supports the existing operational model. DMS remains the central management platform, and SFA remains the mobile-first field execution layer.
DMS provides the central operational management context. SFA supports mobile-first field execution. AI capabilities may support relevant workflows where they are designed and implemented. Current examples are AI Order Capture and Intelligent Sales Assistant.
DMS
Provides the central operational management context.
SFA
Supports mobile-first field execution.
AI
May support relevant workflows where designed and implemented.
Current examples
- AI Order Capture
- Intelligent Sales Assistant
AI engineering can work alongside other technology services.
AI capabilities may require application engineering, integration, deployment, or technology guidance depending on the requirement.
Software Engineering
Design, build, implement, and enhance the applications around a workflow.
Integration & Modernization
Connect existing systems and modernize platforms as requirements change.
Cloud & DevOps
Support cloud deployment, application delivery, and environment management.
Technology Consulting
Technology assessment, architecture guidance, and practical roadmaps.
AI should start with the problem, not the technology.
Codithic approaches AI from the perspective of business requirements, workflow context, application needs, and practical use.
The work starts by assessing whether AI fits the business requirement.
Relevant business contexts
- FMCG / Distribution
- Dairy
- Beverage
- Pharma
- General Distribution
Business Value
Practical AI. Better workflows. Continuous evolution.
Business-focused
Start with the business requirement.
Workflow-integrated
Put AI where the work happens.
Practical Engineering
Build AI capabilities around usable applications.
Continuous Evolution
Allow AI-enabled workflows to evolve as requirements change.
Standard product. Supported configuration. Business-specific customization.
AI capabilities can be part of Codithic products, services, or customized business solutions depending on the requirement.
Standard Product → Supported Configuration → Business-Specific Customization
01
Standard Product
Current product AI includes AI Order Capture and Intelligent Sales Assistant where implemented.
02
Supported Configuration
Supported configuration can adapt an available capability to the operating workflow.
03
Business-Specific Customization
Business-specific AI requirements can be addressed through services and customization.
Ready to Explore AI?
Let's build practical AI for your business.
Tell us what you're trying to improve, automate, integrate, or build.