Begin with what you need. Scale as you grow.

Prectify runs as either a standalone insight layer or a connected component on top of your CX stack.

Ingestion

Prectify’s ingestion architecture supports both modern and legacy workflows.

Rather than forcing teams into new systems, the platform adapts to the operational realities of BPOs, CX teams, and distributed support organizations.

Customer Platforms

Native ingestion pipelines support:

Salesforce, Zendesk, Freshdesk, ServiceNow
Twilio, LINE, WhatsApp, and other messaging platforms
Ticketing exports from proprietary or legacy systems

These connections allow Prectify to interpret issues, sentiment changes, and escalation patterns across large volumes of omnichannel data.

Collaboration & Knowledge Sources

Many operational signals originate in internal communication tools. Prectify incorporates these as part of its evaluation layer:

Slack
Microsoft Teams
Google Workspace (Docs, Sheets, shared drives)

Messages, handovers, internal discussions, and support escalations become part of the platform’s unified understanding.

Files & Historical Data

For teams beginning without system integrations, Prectify supports:

CSV and XLSX uploads
Long-form complaint threads
Call transcripts
Archived support logs
Bulk historical ingestion for trend analysis and baseline modeling

This allows teams to validate the platform quickly and build organizational confidence before scaling integrations.

All ingested content is normalized and interpreted through the Cognitive Cortex and Insight Engine — forming a single operational intelligence layer across every source.

Action

Prectify closes the feedback loop by pushing insights into the systems where decisions and actions occur.

This reduces friction for frontline teams and ensures that early-warning signals reach the right people at the right time.

Operational Channels

Slack / Teams alerts for emerging trends, urgent issues, or sentiment changes
Automated Jira and ServiceNow ticket creation for product bugs, blockers, and recurring workflow issues
Structured Google Sheets or BI feeds for reporting, dashboards, and leadership reviews
Email notifications for high-risk alerts, PR-sensitive findings, and executive visibility

Cross-Team Alignment

Insights can be routed differently for:
Product managers

Engineering teams
Support leadership
PR/Communications
Quality and compliance units

This ensures that each department receives information in a format aligned with its responsibilities and workflows.

Deployment Options

Prectify provides deployment flexibility to match internal policies, data-handling requirements, and integration readiness.

Browser-Only

Ideal for pilots, early-stage evaluations, and BPO environments with limited engineering bandwidth.

Teams can upload files securely through the browser and begin generating insights immediately.

Hybrid Deployment

Combines CRM/helpdesk connectivity with manual uploads or scheduled ingestions.

This model is well-suited for distributed operations where data sources evolve over time or where only specific channels are integrated.

Enterprise

For organizations with strict data residency or governance requirements, the platform can run inference entirely within Japan.

This deployment supports:

Telecoms
Financial services
Regulated BPO operations
Enterprises with strict audit and compliance requirements
Cross-border data transfer restrictions

Inference, processing, and governance are maintained within Japan under APPI-aligned controls.

Compliance

Prectify is designed to meet global data-protection expectations that apply to modern CX, BPO, and enterprise environments.

Supported Frameworks

GDPR (EU)
CCPA (US)
APPI (Japan)

Governance Model

Clients may select a Japan-hosted inference layer to support:

Strict data-residency requirements
Enhanced auditability
Predictable operational continuity
Internal risk-management and vendor-review obligations

Secure Architecture

Prectify’s architecture enforces clear separation between ingestion, processing, and action, ensuring:

Secure handling of sensitive data
Transparent and traceable workflows
Consistent alignment with enterprise expectations and regulatory standards

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