Service Overview
We build AI decision systems using the same reasoning and classification layers that power our own products. Our chatbot routes queries to the right engine based on context. Our exam system grades answers with confidence scoring and flags low-confidence ones for human review. Our document pipeline classifies incoming documents and routes them to the right workflow. These aren't generic decision engines — they're classification, routing, and approval systems already handling real decisions in production. When we build your decision system, it runs on patterns proven in our products.
Key Benefits
Same decision logic running our chatbot routing and exam grading in production
Confidence-based automation — high-confidence cases auto-process, uncertain ones escalate
Every decision logged with reasoning in an audit trail
Classification and routing from the same patterns as our document processing pipeline
Vector-based matching from proven search infrastructure
Feedback loops that improve decision quality over time
Not generic decision engines — purpose-built for your business rules
Key Features & Capabilities
Our comprehensive solution includes these powerful features designed to maximize value and performance.
Systems that automatically categorize incoming items — support tickets, documents, requests, transactions — and route them to the right team, workflow, or system. The same pattern our chatbot uses to route queries across multiple engines.
AI models that score items on relevance, risk, quality, or priority — with confidence thresholds that trigger automatic actions for high-confidence cases and human review for uncertain ones. Like our exam grading system that flags low-confidence answers.
Vector-based matching and recommendation systems that find the right item — product, content, expert, resource — based on context and similarity. Built on the same vector search infrastructure that powers our chatbot and LMS products.
Decision points within larger workflows where the AI makes a recommendation, applies business rules, and either auto-approves or escalates to a human with the reasoning laid out. Every decision is logged in an audit trail.
Systems that combine multiple inputs — structured data, document content, conversation context, historical patterns — into a single decision. The same approach our agentic workflows use to decide which tool to call next.
Decisions improve over time. User feedback, correction patterns, and outcome data feed back into the system so classification accuracy, scoring relevance, and routing precision get better with real usage.
Use Cases
Discover how organizations are leveraging this solution to address specific business challenges.
Support ticket classification and routing
Incoming support requests get automatically categorized by topic, urgency, and customer type — then routed to the right team with suggested responses. Low-complexity tickets auto-resolve, complex ones escalate with context.
Loan and application processing
Applications scored on multiple criteria with confidence thresholds — high-confidence approvals process automatically, borderline cases route to underwriters with the AI's reasoning and risk assessment laid out.
Content moderation and compliance
User-generated content classified against safety guidelines and brand standards. Low-risk content publishes automatically, flagged content queues for human review with the AI's reasoning and relevant policy citations.
Lead scoring and prioritization
Incoming leads scored on fit, intent, and readiness based on multiple signals. High-value leads route to senior sales immediately, nurture-track leads get automated follow-ups, unlikely leads deprioritize.
Quality assurance and inspection
Items, documents, or products evaluated against quality criteria with pass/fail decisions and specific defect identification. High-confidence passes auto-accept, borderline cases route to inspectors with highlighted areas.
Transaction monitoring and fraud detection
Transactions evaluated against patterns and rules in real time — normal transactions process instantly, suspicious ones flagged for review with the specific risk factors and historical pattern matches that triggered the alert.
Implementation Process
Our structured approach ensures efficient delivery and exceptional results.
Decision audit and mapping
Map the decisions your team makes today — what inputs they use, what rules they follow, where judgment calls happen, and what the outcomes look like. Identify which decisions can be automated and where human oversight is essential.
Decision system design
Design the classification, scoring, and routing logic. Define confidence thresholds for automation vs escalation. Map the data sources and signals the system needs. Build on patterns from our products that match your decision type.
Build, test, and calibrate
Build the decision system with your real data. Test against historical cases. Calibrate confidence thresholds until automated decisions match your team's judgment. Measure accuracy, false positives, and escalation rates.
Deploy and iterate
Deploy with audit logging and performance monitoring. Track decision accuracy in production. Collect human feedback on escalated cases. Retune the system as new patterns emerge and business rules evolve.
Frequently Asked Questions
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