POC to Production

For a BriqMind deployment to build confidence with investors, technical teams, and enterprise buyers, the path from pilot to production must be clear. This page turns that transition into a measurable and operational framework.

01 Transition Phases 02 Production Signals 03 Stakeholder Map 04 Production Checklist 05 Rollback & Incident

01Transition Phases

Phase 01

Discovery and Scope

1-2 weeks

In the first phase, the problem definition, data boundaries, target department, and success criteria are clarified. This also shows investors that the product is moving with measurable goals, not random experimentation.

Use-case selection

Success metric definition

Data-source mapping

Risk and blocker list

Approval owner assignment

When does this phase end? (Gate Criteria)

Use case approved in writing

Success metrics defined numerically

Data access permissions granted

Phase 02

POC and Validation

2-4 weeks

The system is tested with small but realistic data. The goal is not to run a demo; it is to produce business output and surface risks early.

Pilot user group (5-20 people)

Response quality measurement (LLM-as-Judge)

Latency and throughput testing

Security vulnerability scan

User feedback loop

When does this phase end? (Gate Criteria)

Task completion >= 75%

Average latency < 3 sec

No critical security findings

>= 60% of pilot users used the system again

Phase 03

Production Hardening

2-3 weeks

In this phase, security, observability, rollback planning, and operational ownership are finalized. This is where enterprise buyers build trust.

RBAC and audit logs enabled

Runbooks and incident playbook

SLA and support flow definition

Load and stress testing

Disaster recovery plan

When does this phase end? (Gate Criteria)

All production checklist items are green

Runbook passed at least 1 drill

Support team trained

Rollback completed in under 15 minutes

02Signals Required for a Production Decision

Measurable performance

Latency, accuracy, task success rate, and productivity impact per user must be reported clearly.

Security and ownership

It must be clear which team owns what, where each log is stored, and who acts in which incident.

Adoption

Technical correctness is not enough; pilot users must actually bring the system into their daily workflow.

Operational continuity

Going live without a backup, monitoring, rollback, and upgrade plan looks weak on the enterprise side.

Task completion

85%+

First response time

< 2 sec

User adoption

60%+

Escaped error rate

< 3%

03Stakeholder Map

Which team enters the loop at which stage? Bringing the wrong person in at the wrong time slows the transition and weakens confidence.

Stakeholder	Phase 01 Discovery	Phase 02 POC	Phase 03 Prod	Role
Business Unit / Department	●	●	○	Defines the use case and provides pilot users
IT / Infrastructure Team	○	●	●	Environment setup, network isolation, hardware delivery
Security & Compliance	○	●	●	Risk assessment, audit log design, RBAC approval
Legal / Data Protection (DPO)	●	○	●	Data classification, KVKK/GDPR compliance
Technical Architect (BriqMind)	●	●	●	Architecture decisions, integration, deployment plan
Management / Sponsor	●	○	●	Budget approval, gate decision, stakeholder communication

● Active participation ○ Informational

04Production Transition Checklist

Go-live approval is not granted until every item is green. Each category is signed off by a separate team.

Security & Authorization5 items

RBAC roles are defined and tested

Audit logs are active and written to immutable storage

PII masking is verified in production

API keys are tied to a rotation policy

Vulnerability scan (SAST/DAST) returned clean results

Observability & Monitoring4 items

OpenTelemetry traces are active in production

Prometheus metric endpoints are working

Critical alerts such as latency and error rate are defined and tested

Dashboards are shared with relevant teams

Performance & Capacity4 items

Load test: system is stable at 2x expected peak traffic

P99 latency < 5 sec, excluding complex agent tasks

GPU memory usage is not continuously above 95%

Autoscaling policy is tested

Operations & Continuity5 items

Runbooks are written and at least 1 drill has been completed

Backup and restore procedure is tested

Technical owner and on-call rotation are assigned

SLA levels such as uptime and support response are approved in writing

Maintenance window and communication plan are ready

Compliance & Legal3 items

Data processing inventory is updated (KVKK/GDPR)

Data retention and deletion policy is implemented

DPO approval is received if personal data is processed

05Rollback & Incident Plan

Even the best production transitions can face incidents. Writing the plan in advance prevents panic and signals maturity to enterprise buyers.

Rollback Protocol

T+0Incident detected -> on-call alerted

T+5 minSeverity determined (P1/P2/P3)

T+10 minP1: Automatic rollback triggered

T+15 minPrevious stable version active, traffic routed

T+60 minPost-mortem draft created

Severity Levels

CriticalSystem is fully offline or data leakage is suspected. Immediate response.

HighA major feature is down and more than 20% of users are affected. Resolution within 2 hours.

MediumPerformance degradation or partial failure. Resolution by the next business day.

Next Step

Production Readiness Checklist

Full operational checklist before go-live.

Trust Center

A summary page that accelerates enterprise trust and procurement.

SLA & Support

Uptime guarantees, support levels, and escalation processes.