Commerce + analytics + CRM + decision intelligenceAustralia · Enterprise implementation
Comlytix
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Implementation

Controlled delivery from business question to production decision.

Comlytix implementations begin with a bounded commercial outcome, not an unrestricted integration list. Each phase has explicit scope, owners, acceptance criteria and production controls.

Bounded implementation planExample delivery structure
01Decision and workflow discoveryUsers, questions, records, rules, systems and success measures
02Data and architecture contractSource ownership, metric definitions, mappings, security and failure handling
03First production workflowOne complete analytics, CRM or decision use case with controlled data
04Acceptance and launchReconciliation, security, accessibility, performance and operational handover
05Measured expansionAdditional sources, teams, automations and decisions after acceptance
Delivery phases

Every phase produces a reviewable artefact.

01Commercial brief

Decision, workflow, users, baseline, expected outcome and executive owner.

02Source and metric register

Systems, entities, definitions, ownership, freshness and reconciliation policy.

03Experience and workflow model

Screens, states, permissions, approvals, notifications and exception handling.

04Technical implementation

Integrations, data model, APIs, frontend, security controls and observability.

05Verification

Data reconciliation, functional testing, accessibility, performance and acceptance evidence.

06Production governance

Release plan, monitoring, support ownership, rollback and change control.

Acceptance gates

Production readiness is evidenced, not assumed.

GateRequired evidence
Data accuracyReconciliation against authoritative sources and documented tolerances
SecurityAccess model, secret management, RLS, CORS, logging and dependency review
WorkflowHappy paths, exception paths, permissions and delegated authority
ExperienceResponsive behaviour, accessibility, readability and supported browser checks
OperationsMonitoring, alerts, support owner, recovery procedure and release rollback
Scope discipline

Begin small enough to verify, valuable enough to matter.

Analytics first releaseOne executive view, agreed metrics and the minimum sources required to reconcile them.
B2B CRM first releaseOne account lifecycle from qualification through quote, order or reorder.
Custom CRM first releaseOne operational workflow with roles, approvals, evidence and reporting.
Decision Engine first releaseOne recurring decision with measurable impact, sufficient data and a named approver.
Next step

Define the first production acceptance gate.

A short discovery engagement can establish scope, data feasibility, architecture and a delivery plan before implementation commitments are made.

Discuss your requirements Review implementation