Smart BIAIAI social intelligence for global enterprise teams
Turn global social data intothe next growth action
Combine company context, authorized social data, content assets, task records, and sourced public information to diagnose performance, research markets, plan content, and prepare actions for confirmation.
✓ Enterprise context and authorized data✓ Data scenarios across four platforms✓ Visible scope, sync time, and sources✓ Confirmation before high-impact actions
Last 30 days12 authorized accounts486 postsSynced 09:30
OPERATIONS LEAD
Which accounts showed unusual growth over the last 30 days, and what should we adjust next week?
Analysis completeEnterprise data · system records · AI inference
KEY EVIDENCEFirst-3-second retention +21%Compared across 12 posts
PRIORITY ACTIONContinue the fast-charge challengeKeep variables and test two openings
THE ACTION GAP
Teams do not lack data—they lack the time to turn it into action
Reports, experience, market research, content planning, and execution are split across tools. The real efficiency loss occurs during every handoff.
Fragmented data, slow explanation
Teams spend time organizing reports before they can explain a change.
Review depends on individuals
Anomalies and patterns are difficult to discover consistently.
Strategy stops before execution
Research, planning, and task configuration remain disconnected.
Automation lacks control
Opaque, fully automatic publishing does not fit enterprise brands.
ONE SMART BIAI
Three core capabilities connected into one operating loop
Each capability can be used independently or work together. In a connected workflow, the Agent turns production, distribution, and results into the next action.
01 · CONTENT◇03 · INTELLIGENCE✦
AI Video Creation
Batch creation, translation, and processing for global social video.
02 · OPERATIONS▦Global Social Operations
Govern accounts, assets, distribution, and operating data.
Smart BIAI Agent
Analysis, strategy, creative planning, and task coordination.
Content production→Matrix distribution→Review and strategy→Next tasks
FOUR CAPABILITIES
From understanding data to preparing the next task
Four capability groups advance one enterprise objective: find the problem, form a judgment, plan content, and bring the result into execution.
AI operations analysis
Query account, content, audience, view, and engagement data in natural language to identify anomalies, growth bottlenecks, and review priorities, extract reusable patterns from high-performing content, and show account scope, time range, and the latest synchronization time.
“AI operations analysis”
GUIDED DEMO
Start with a real operating task, not a blank conversation
This guided flow uses anonymized fictional consumer-electronics data to explain how the Agent organizes evidence, judgments, and next tasks. It is not a customer result.
Data fact · AI inference
Find anomalies
Identify account and content changes that need priority review.
Scope12 authorized accounts · last 30 daysFictional anonymized demonstration data
TRACEABLE BY DESIGN
Every conclusion can return to its source
Enterprise data, system records, public sources, and AI inference remain separately labeled with their permissions and time scope.
Enterprise materials
Brand, product, market, audience, and content rules
Enterprise contextAuthorized operating data
Accounts, content, audiences, views, and engagement
Within permissionSmart BIAI system records
Assets, task settings, execution status, and history
Connect and reviewPublic web information
Industry, competitors, platform rules, and public cases
Source and datePRIORITY SCENARIOS
Begin with industries where data, content, and cadence are most complex
The Agent creates value where ongoing operating data meets a clear enterprise objective.
Consumer technology
Turn product and market performance into content tests.
Fashion and beauty
Compare themes and formats for series planning.
Games and applications
Plan market and release-stage content cadence.
OPENNESS & BOUNDARIES
Make available capabilities and future plans explicit
Capability status helps enterprises evaluate data, customer, and implementation conditions.
Available for stable evaluation and demonstration.
- Natural-language data queries
- Account and content diagnostics
- Market and content strategy
- Scripts and task drafts
Conditions depend on customer, data source, permission, plan, and scenario.
- Cross-module task creation
- Task execution and status review
- Pre-execution user confirmation, not a full approval workflow
Release timing, platforms, and data scope follow product announcements.
- Comment sentiment analysis
- Social-listening risk alerts
- Audience-needs insight
- Broader automated task coordination
FAQ
What teams may want to know before starting
Exact platform, data, and execution scope may vary by authorization, region, and plan.
General AI assistants mainly use conversation context and general knowledge. Within permission scope, Smart BIAI Agent combines enterprise materials, authorized social data, Smart BIAI system records, and public information while showing data scope, sources, and AI inference.
AI OPERATIONS DIAGNOSIS
Let real data answer the next operating question
Tell us your account scale, target markets, and main operating question. A product consultant will review the request and prepare the demonstration.
✓ No real diagnosis before authorization✓ Confirmation before high-impact tasks
CONTINUE EXPLORING
Connect this capability to your operating workflow
Explore related scenarios, industries, guides, and published help answers.