Engineering guides for developers and technical leaders.
Practical guidance from the icommunix engineering team on software development, cloud, DevOps, integrations and AI, grounded in CX engineering. Published guides state their scope and limitations and cite their sources.
Decisions, evaluations and guides.
For developers and technical leaders: implementation techniques, changing engineering practices and the trade-offs behind reliable software.
Extending an agent workspace: embedded application or custom desktop?
Compare embedded extensions, workspace SDKs and custom agent desktops through workflow ownership, identity, contact context, permissions, accessibility and recovery.
Writing AI interaction summaries back to CRM with human review
Separate AI summary generation from approval and CRM authorisation, with a synthetic review sequence for edits, stale drafts, conflicts and uncertain writes.
Cloud skills for software developers: follow one request beyond the application
Learn identity, network, runtime, data, failure and cost responsibilities by tracing one request and running a dependency-free Node.js failure lab locally.
Building contact-centre reporting pipelines with explicit metric definitions
Design a contact centre analytics data pipeline with explicit metric definitions, interaction grain, late-data rules and reproducible reconciliation.
What to test before releasing a contact-centre integration
Use a risk-based contact centre integration testing matrix for agent workflows, API contracts, CRM writes, failure recovery, evidence and release decisions.
Human handover in conversational AI: context, permissions and fallback
Design human handover with explicit ownership states, permitted tools, minimal context and honest fallback when an agent is unavailable or a workflow is interrupted.
CRM and CTI integration: choose a connector or commission a custom build
Compare a supported CRM connector, a supported extension and a custom CTI integration using workflow, identity, API, permission and maintenance requirements.
Designing CRM and CTI integrations for retries, duplicates and outages
Design CRM and CTI recovery around explicit ownership, idempotent operations, bounded retries and reconciliation, with a failure matrix and runnable synthetic example.
Designing CRM screen-pop when customer identity is uncertain
Prevent wrong-customer screen-pops by separating candidate lookup, identity verification and record access, with synthetic examples and an interaction-context checklist.
Choosing a CX engineering partner: a technical due-diligence checklist
Evaluate a CX engineering partner through workflow requirements, API and testing evidence, ownership, security scope and a proportionate handover checklist.
Tenant boundaries in CX SaaS: identity, access and interaction data
Plan tenant boundaries for CX SaaS across identity, APIs, interaction storage, search, background jobs and deletion, with an illustrative access checklist.
Evaluating conversation analytics across voice and digital channels
Evaluate conversation analytics with task-specific labels, transcript checks, channel and language slices, human disagreement and a summary-review rubric.
Planning a legacy call-recording migration without losing retrieval context
Plan a legacy call-recording migration around formats, metadata, permissions, reconciliation and retrieval, with explicit cutover and rollback decisions.
Secure CI/CD for AI-assisted code: trust boundaries before automation
Separate untrusted code validation from reviewed delivery, scope GitHub Actions permissions and OIDC trust, and verify artifacts without overstating provenance.
Working through a similar decision?
Share your systems and constraints and we will discuss the engineering options with you.