Client Solutions
Instead of generic standalone products, we show the business systems companies most often need when upgrading with AI: customized agents, customer operations, supply chain, enterprise knowledge, and analytics.
Agent platform / Tool calling / Human approval
Business problem
Companies want AI to execute role-specific work, but business rules, tools, knowledge, approvals, and data are split across systems.
Waxis delivery
Waxis designs agents around each role and workflow so they can read enterprise knowledge, call CRM / ERP / data tools, draft files, and request human approval where needed.
Role-specific agents
Tool calling
Multi-step execution
Human approval
Execution logs and audit
Customer operations / CRM / Support automation
Business problem
Leads, quotes, service tickets, and customer conversations are scattered across chats, spreadsheets, and legacy tools, making the customer view hard to trust.
Waxis delivery
Waxis unifies customer records, pipeline, support tickets, and conversation summaries while AI agents generate next actions, risk alerts, and knowledge suggestions.
Customer timeline
Ticket summaries
Pipeline dashboard
Next-action agent
SLA and account risk alerts
Supply chain / Inventory / Replenishment
Business problem
Inventory, orders, supplier lead times, replenishment decisions, and warehouse tasks are split across systems, causing stockouts, delays, and manual chasing.
Waxis delivery
Waxis connects inventory ledgers, order flow, supplier data, reorder queues, and warehouse tasks with AI demand shifts, SKU exceptions, and supplier risk alerts.
Inventory health
Reorder suggestions
Supplier lead times
Demand forecasting
SKU exception alerts
Knowledge base / RAG / Domain AI
Business problem
Domain knowledge, SOPs, training material, and historical Q&A lived across documents, making expert knowledge difficult for frontline teams to reuse.
Waxis delivery
Waxis cleans proprietary corpora, builds knowledge bases, RAG, evaluations, and citation tracing, then adapts domain models when needed.
Document parsing
RAG retrieval
Answer evaluation
Domain model adaptation
Citation tracing
Data layer / Semantic metrics / Analytics agent
Business problem
Sales, inventory, support, and finance data were fragmented across tools, so reporting required manual exports, joins, and interpretation.
Waxis delivery
Waxis builds ingestion, cleaning, access control, semantic metrics, natural-language querying, automated reports, and anomaly alerts.
Data ingestion
Semantic metrics
Natural-language query
Automated reports
Anomaly alerts
Custom solution