Solutions

Start with a real business problem and make AI measurable

You do not need to rebuild every system at once. Choose a bounded scenario with available data and a clear owner, prove the result, then expand.

CIO / CTO

Enterprise system modernization

Start with high-change, high-value modules. Organize business models, workflows, and tools progressively while preserving existing investments.

View the solution

Reduce replacement risk

Respond to change faster

Avoid new technology silos

CIO / AI leaders / Finance

Enterprise AI resource and usage governance

Govern approved model catalogs, human and digital-employee quotas, usage monitoring, and cost allocation so AI investment remains planned, measurable, and sustainable.

View governance guidance

Control unexpected usage cost

Match models to roles and scenarios

Create transparent cost and audit evidence

Procurement and supply chain

AI purchasing assistant

Combine demand, stock, inbound supply, lead times, and supplier performance to create explainable replenishment advice and purchasing drafts.

View the solution

Less time preparing data

Lower shortage and overstock risk

People retain purchasing approval

CEO / Business leaders

Management analysis and exception diagnosis

Organize evidence around margin, cost, and delivery issues, identify contributing factors, and propose concrete actions.

View the solution

Move from reports to diagnosis

Preserve definitions and evidence

Accelerate improvement actions

Core enterprises and partners

Value-chain collaboration

Connect employees, suppliers, distributors, and stores around shared facts across purchasing, sales, fulfillment, and settlement.

Explore Purefect BLiS CoWork

Real-time process visibility

Less duplicate entry and reconciliation

AI enters collaborative workflows

Technology and delivery teams

AI-assisted system delivery

Let AI read standards and existing business models to help prepare change plans, configuration drafts, and validation results.

View the solution

Reduce repetitive modeling

Review changes before and after

Continuously reuse experience

Which scenario should come first?

We assess business value, data readiness, security boundaries, and success metrics together.

Plan a pilot