Architecture hub

Automation architecture and CRM integration architecture

One capability model across five pillars, so approvals, handoffs, sync failures, and AI decisions share a production design for trigger, ownership, and verification.

  • Five pillars
  • One delivery model
  • Map first, then build
Five architecture pillars

Pick the layer that is stuck

Each page explains how Octacer designs that layer, then points into solutions and services when you are ready to build.

01
Coordination still waits on people

Automation architecture

Production systems that trigger, route, approve, execute, and verify work: replacing the human glue between CRM, spreadsheets, and internal tools.

  • Governed handoffs
  • Approvals & routing
  • Verified execution
Related: Operations automationOpen architecture page
02
Judgment stays stuck in queues

AI capabilities architecture

AI as a decision layer inside workflows: classification, prioritization, exception handling, and escalation when confidence drops.

  • Confidence gates
  • Human fallback
  • Decision in the path
Related: AI feature accelerationOpen architecture page
03
Systems of record disagree

CRM integration architecture

Integration architecture that keeps CRM, ERP, and operational tools aligned, one source of truth for status, ownership, and handoffs.

  • CRM ↔ ERP sync
  • Event handoffs
  • Shared state
Related: CRM / ERP integrationOpen architecture page
04
The operating surface does not exist yet

Product engineering architecture

From validated problem to production product: portals, internal tools, MVPs, and SaaS surfaces teams actually run on.

  • Problem → product
  • Operating UX
  • Ship to production
Related: AI MVP LaunchOpen architecture page

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CRM integration architecture

How should a CRM integration be designed?

Give every record one owning system, trigger syncs from events in that system, and write to the target with an upsert on a stable ID so retries never duplicate. Then log each result, send failures to a queue a person reviews, and reconcile both sides daily. That is the pattern behind our CRM and ERP work.

  1. 01

    Event in the source system

    A deal closes, an order is placed or a record changes in the system that owns it.

  2. 02

    Map and validate

    Fields are mapped against agreed ownership rules and checked before anything is written.

  3. 03

    Idempotent write

    The target is updated by upsert on a stable external ID, so a retry never creates a duplicate.

  4. 04

    Confirm and reconcile

    The result is logged, failures go to a review queue and a daily check compares both sides.

It is the design for how customer and order data moves between your CRM and systems such as the ERP, billing and support tools: which system owns each record, which event triggers a sync, how writes avoid duplicates and how failures are found and fixed.

Explore the related page →

Usually each owns different records. The CRM typically owns leads, contacts and the pipeline; the ERP owns items, prices, inventory and invoices. Agree an owner for each field, then sync that field in one direction.

Point-to-point is fine for one or two simple syncs. An iPaaS or workflow tool suits many standard connectors. Custom middleware fits when volume, complex mapping or strict error handling outgrow the connector.

Explore the related page →

Use a stable external ID on both sides, make every write an upsert keyed on it, retry with backoff and send failures to a queue a person reviews. A daily reconciliation catches anything that slipped.

Explore the related page →
Next step

From architecture to implementation

Architecture pages explain the design model. Money pages: operations automation, CRM/ERP integration, and sales ops, are where the first production system gets scoped and shipped.

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