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Red Abstract Lines

Six-Step Intelligence Loop

Prectify transforms real-world conversations into operational clarity through an end-to-end intelligence loop. Each stage is designed for transparency, auditability, and long-term enterprise reliability.

Red Light Wave
Red Abstract Lines

One

Connect

  • ​Use the browser app or lightweight desktop tool for instant uploads, rapid previews, and immediate dashboard visibility
     

  • Integrate directly with Salesforce, Zendesk, Freshdesk, Jira, HubSpot, ServiceNow, Slack, LINE, or Twilio via secure APIs
     

  • Automatically synchronize multi-source data flows without disrupting existing routing or permissions
     

  • No CRM required — CSVs, call recordings, chat logs, and transcripts can be uploaded directly for instant pattern detection
     

  • Built to accommodate hybrid environments where different teams use different systems, ensuring full coverage with minimal setup

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Red Abstract Lines

Two

Ingest & Normalize

  • Processes structured and unstructured data simultaneously, including audio, chat, ticket summaries, and forum content
     

  • Performs diarization, timestamp alignment, metadata extraction, and conversation stitching to standardize fragmented interactions
     

  • Normalizes multilingual inputs (English, Japanese to start) and prepares for additional languages as models evolve
     

  • Detects and removes noise — filler language, repeated segments, system-generated text — to improve clarity
     

  • Produces a unified, consistent interaction format that enables accurate downstream analysis and cross-channel comparison

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Red Abstract Lines

Three

Understand

  • The Cognitive Cortex interprets intent, product language, behavior signals, and emerging patterns unique to your environment
     

  • The Insight Engine applies your taxonomy, escalation logic, policies, and PR-sensitive rules to every interaction
     

  • Maps conversation elements to product components, workflows, known issues, and organizational context
     

  • Learns continuously as more data flows in, strengthening precision across teams, product lines, and regions
     

  • Builds an internal knowledge model that evolves with product updates, policy changes, and shifting operational realities

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Four

Score & Prioritize

  • Identifies emerging spikes, recurring patterns, friction points, and systemic issues before they escalate
     

  • Detects sentiment shifts, VIP-impacting statements, and PR-sensitive mentions across multiple channels
     

  • Uses clustering and anomaly detection to surface early signals hidden in large volumes of conversations
     

  • Assigns severity based on urgency, historical context, business impact, and operational risk
     

  • Generates clear, actionable priorities so teams no longer need to sift through raw data to understand what matters most​

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Five

Act

  • Real-time dashboards provide analysts and operations teams with immediate situational awareness
     

  • Alerts and insights can be routed to Slack, Teams, Jira, ServiceNow, email, or custom internal systems
     

  • Supports both automated triggers and human-curated workflows, depending on the team’s governance needs
     

  • Enables seamless escalation to product, engineering, support, PR, or leadership channels without changing existing processes
     

  • Allows organizations to respond within hours instead of days, accelerating resolution cycles and preventing downstream impact

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Red Light Wave

Six

Learn 

  • Every resolution, Jira fix, PR response, and verified root cause becomes feedback that strengthens the model
     

  • Detection logic, prioritization criteria, and domain understanding update over time, improving long-term accuracy
     

  • Human reviewers validate edge cases, ensuring quality, safety, and grounded decision-making in complex environments
     

  • Governance, model-management, and compliance oversight remain anchored in Japan, maintaining APPI-aligned controls
     

  • Creates a compounding intelligence loop where the system becomes more precise, more contextual, and more aligned with your organization as usage grows

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