RFQ intake
Capture request and attachments, extract requirements, flag missing information and create the case.
Process automation
Knowledge-work and back-office processes, implemented end to end.
We do not automate a prompt. We model input, context, decision, approval, system action, exception and measurable outcome.
InputPOPDFCRM
KonnexAIunderstands · checks · acts
Outcome✓ Approval↗ ERP◷ SLA
Human in the loop
Example flow
Turn input into a controlled outcome.
Understand input
Classify email, document, form or system event and extract relevant data.
Retrieve context
Retrieve approved knowledge, case history and operational master data.
Prepare a decision
Provide outcome, uncertainty and rationale to a person or rule system.
Act and measure
After approval, execute the system action, record the result and evaluate quality.
Concrete workflow patterns
A clear input. A reviewable outcome.
Order entry
Check order data against master data, escalate exceptions and transfer approved input.
Service triage
Classify requests, assemble context, and prepare the response draft and next action.
Knowledge-assisted case work
Provide approved policies and history for decisions while keeping sources visible.
Measurable acceptance
Domain quality is defined before rollout.
We do not measure model responses alone. What matters is whether the complete workflow becomes faster, more complete or more reliable—and whether failures return safely to a human path.
- Baseline for time and quality
- Fixed evaluation cases
- Accepted error rate and escalation
- Business outcome measure
AI process assessment
Find the process where AI can create real value.
We assess volume, decision logic, data, risk and success measures, then recommend a bounded first deployment.