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Platform · Customization & AI Extensions

Start with a connected core. Adapt it to the enterprise.

Standard workflows provide the operating foundation, but enterprises do not all work the same way. Lekhha can be configured and, where a validated requirement needs more, extended through scoped integrations, custom workflows and targeted AI add-ons.

Configure before you customize

Use standard product capabilities wherever they fit, then configure roles, policies, operating choices and workflow variations around the enterprise requirement.

  • Role and workflow configuration
  • Channel and operating-policy variations
  • Make-to-stock and make-to-order operating choices

Enhance or build where the need is specific

When the standard product does not cover a validated requirement, define the gap and build a scoped extension rather than forcing the business into an unsuitable process.

  • Enterprise-specific workflow enhancements
  • New integrations with external systems or partners
  • Custom operational screens, rules or automations
Targeted add-on

Add AI where it solves a real operating challenge

Use connected business context as the foundation for problem-specific AI capabilities instead of adding a generic assistant with no operational grounding.

  • Decision support around enterprise-specific exceptions
  • Signals, recommendations or assisted actions
  • Use-case-specific copilots and workflow automation

How adaptation should work

Requirement first. Extension second.

Customization should begin with the enterprise problem and the operating outcome required, then choose the lightest approach that solves it.

01
UnderstandCapture the enterprise requirement and feedback
02
FitUse the standard product where it already solves the need
03
ConfigureAdjust supported workflow and operating choices
04
ExtendBuild a scoped enhancement or integration where justified
05
Add AIApply AI only to a defined challenge with useful business context
06
MeasureValidate the outcome and iterate with the enterprise

Flexible operating models

Support both stock-led and demand-led businesses.

A connected commerce platform should not assume that every sale starts from finished stock. The operating model can begin with what is already available or with a customer commitment that triggers production, assembly or preparation.

  • Make to Stock: transact against products already available in inventory.
  • Make to Order: capture demand first, then produce, assemble or prepare against the confirmed requirement.
  • Keep the downstream order, fulfilment, logistics and payment context connected in either model.
One operating core

Different supply models can feed the same connected transaction lifecycle.

Make to StockMake to OrderCommitmentFulfilmentLogisticsPayment
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Enterprise fit

Bring the requirement, not a predefined implementation.

We can start from the standard Lekhha operating model, identify where your process differs and define the right configuration, extension or targeted AI solution.