The lifecycle

From zero to a live
AI employee.

Five phases from initial discovery to an optimised, production-grade agent — with full operator control at every step.

The five phases of Cadre agent deployment

1

Phase 01

Discovery

We start by understanding your business: your team structure, workflows, customer touchpoints, and where the biggest leverage points are. You tell us what a successful agent looks like — we handle the rest.

Stakeholder interviewWorkflow mappingAgent tier selectionSuccess metrics
2

Phase 02

Training

Your agent learns your business. Upload knowledge documents, brand guidelines, and your rules. We configure persona, tone, escalation thresholds, and tool access — all version-controlled so you can roll back anytime.

Knowledge base ingestionPersona configurationEscalation rulesTool policy
3

Phase 03

QA & Simulation

Before going live, your agent runs hundreds of simulated conversations across edge cases. We tune confidence thresholds, measure escalation accuracy, and validate that the agent behaves within your defined parameters.

Prompt simulationEscalation testingThreshold tuningCompliance check
4

Phase 04

Live

Your agent goes live on your channels. It handles inbound requests, follows up on leads, or publishes content — according to its role. Every run is logged, every message normalised, every escalation surfaced to your operator console.

Real-time run logsEscalation dashboardConversation auditLive monitoring
5

Phase 05

Optimisation

Cadre continuously learns from production data. We surface performance insights, update knowledge bases as your business evolves, and refine escalation thresholds based on real conversation patterns.

Performance analyticsKnowledge refreshThreshold iterationQuarterly review

Ready to start
your first deployment?

Book a demo and we'll walk through the full lifecycle with your specific use case in mind.