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ISHIX.AI / SYSTEM BLUEPRINTS

AI in action,
without the fiction.

Detailed demo implementations showing how Ishix approaches real operational problems. These are concepts—not claimed client projects.

Explore the blueprints ↓
03 DEMONSTRATION SYSTEMS

From business constraint
to working architecture.

Each blueprint starts with a recognizable operational problem, then maps the agents, data and integrations needed to solve it responsibly.

DEMO SOLUTION · RECRUITMENT

AI Recruitment Assistant

Turn application overload into a structured, human-reviewed shortlist.

THE CHALLENGE

Recruiters manually review hundreds of CVs, repeat screening questions and lose qualified candidates to slow response times.

TARGET OUTCOMEFaster screening with transparent human approval at every decision point.
DEMO WORKFLOW / 01
APPLICATIONS
→
AI SCREEN
→
MATCH
→
HUMAN REVIEW
CV extractionCriteria matchingCandidate messagingAudit trail
CONCEPT SOLUTION · CUSTOMER EXPERIENCE

Knowledge-Grounded Support Agent

Answer routine questions immediately without inventing information.

THE CHALLENGE

Support teams repeat the same answers while trusted policies and product knowledge remain scattered across files and tools.

TARGET OUTCOMEVerified responses with citations, confidence checks and graceful human escalation.
RAG PIPELINE / 02
POLICIESPRODUCTFAQ
RETRIEVE
GROUND
ANSWER
CUSTOMER QUESTION

Answer found in approved source

CONFIDENCE: HIGH
Source citationsPermission controlsHuman escalation
DEMO SOLUTION · REVENUE OPERATIONS

AI Lead-to-Meeting Engine

Respond to every qualified opportunity while buying intent is still high.

THE CHALLENGE

Leads arrive across channels, CRM records stay incomplete and follow-ups depend on busy team members remembering the next action.

TARGET OUTCOMEA coordinated workflow from first signal to booked meeting and visible reporting.
AUTOMATION GRAPH / 03
LEADENRICHQUALIFYCRMWHATSAPPMEETING
Intent scoringPersonal follow-upCalendar bookingDashboard update
IMPORTANT

Proof should be honest.

These demonstrations explain our approach and technical capability. Performance figures will only be published when measured in a real deployment with client approval.

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