What this service is designed to solve
Content calendars, approvals, replies, reporting, and lead routing become inconsistent when they are handled across scattered chats and files.
Social Media AI | Subscription / Managed
Social media AI operations with human approval
ARRIX creates controlled social AI workflows for campaign planning, caption drafts, brand voice, review gates, scheduling support, reply triage, and performance reporting.
What we build, configure, or manage
ARRIX creates controlled social AI workflows for campaign planning, caption drafts, brand voice, review gates, scheduling support, reply triage, and performance reporting.
Operating Model
Make ownership, workstreams, and system boundaries clear.
Named integrations are candidates until discovery and written scope confirm access, fields, responsibilities, testing, and production approval.
User roles
- Executive or growth sponsor
- Marketing and campaign owner
- Brand and claims approver
- Sales or customer-response owner
- Platform administrator
Modules and workstreams
- Brand voice and approval rules
- Campaign calendar and content workflow
- Draft generation and review queue
- Lead routing and reporting
- Monthly improvement rhythm
Candidate integrations
- Approved social or publishing accounts after channel-access review
- Product feed, website, or campaign source data when included in scope
- CRM, lead-routing, email, or WhatsApp handoff through approved interfaces
- Analytics exports or APIs for agreed performance measures
Data controls
- Named data owners, approved sources, and a minimum-field data dictionary before migration or automation
- Least-privilege roles, retention and deletion rules, protected exports, and backup or recovery planning
- Reviewable activity, exception, approval, and change records appropriate to the workflow risk
- Quality monitoring with human review of generated, predicted, or published output
Delivery Workflow
Diagnose, design, deliver.
1. DiagnoseMap the business problem, users, data, systems, risks, and approval flow.
2. DesignChoose architecture, controls, integrations, milestones, and the right pricing path.
3. DeliverBuild, test, train, launch, monitor, and improve with measurable checkpoints.
Start with the right buying motion.
Use discovery for uncertain scope, a launch package for focused work, managed support for ongoing operations, or a custom proposal for complex integration and control requirements.
Compare Pricing PathsControl remains explicit
- Human approval for consequential, sensitive, financial, legal, health, public, or externally published actions
- Approved knowledge, prompts, rules, thresholds, and escalation paths with a named business owner
- Access reviews, change control, issue reporting, and periodic outcome and risk review
Choose an approved environment
- Managed service workspace or approved customer environment
- Controlled onboarding, access review, acceptance, and production activation
- Customer-cloud or hybrid options after architecture and responsibility review
Prepare for adoption and continuity
- Documented onboarding and operating cadence
- Managed monitoring, reporting, and review appropriate to the plan
- Escalation, training, and prioritized improvement backlog
Verify before expansion
- Workflow and role acceptance by named owners
- Data, integration, security, and recovery checks
- Training, documentation, support, and change-control handoff
Apply the service in context.
Related Scenarios
Compare guidance and illustrative patterns.
FAQ
Common buying and implementation questions.
Does the AI publish automatically?
Production publishing should stay behind approved channel connections and human review. The goal is useful speed without losing control.
Can this support multiple platforms?
Yes. Workflows can cover LinkedIn, Facebook, Instagram, X, YouTube, TikTok, WhatsApp Business, and email campaigns.
Which systems can this service connect to?
Candidate integrations are reviewed during discovery. ARRIX confirms ownership, approved interfaces, data fields, credentials, testing, error handling, and responsibility before any live connection is included.
How are data, security, and AI decisions governed?
The proposed scope defines role access, data boundaries, activity records, backup and recovery, approval gates, human escalation, and change control according to the operational risk.
What deployment and support options are available?
Options can include a staged managed environment, an approved customer environment, launch stabilization, training, documentation, monitoring, and ongoing support. The reviewed proposal confirms what applies.
Next Step
Bring the workflow, users, data, constraints, and target outcome.
ARRIX uses those inputs to confirm fit, scope, controls, deployment, support, timeline, and commercial terms.