Architecture Decks · AI Strategy

Use-case architectures.

The agentic use cases we deploy across the executive suite, mapped by seat and signal stream, from customer retention to dynamic content. Governed, auditable, and human-in-the-loop.

Architecture 01 · Customer Retention

Customer Retention Intelligence

GoalSurface churn risk from real customer conversations.OutcomeCSMs act on at-risk accounts before the renewal, not after it.

SOURCEINGEST + STOREINTELLIGENCEACTIONGongcall transcriptsHubSpotCRM + deal contextScrub Pipeline { }PII strip · normalizeSnowflakeclean data storeClaude Codechurn scoring · play { }SlackCSM risk alertsHubSpotrisk score write-back

System. Gong transcripts and HubSpot context flow through a custom scrubbing pipeline that strips PII and normalizes records into Snowflake. Claude Code scores churn risk per account and drafts the recommended play, then writes the signal back to HubSpot and alerts the owning CSM in Slack.

Service
Claude core
Custom { }
Architecture 02 · Competitive Intelligence

Competitive Intelligence Radar

GoalTrack every competitor move on features, pricing, and positioning.OutcomeA ranked, always-current view of the field, refreshed on a schedule.

TRIGGERCRAWLANALYZEOUTPUTGitHub Actionsscheduled cronApifysite crawlPlaywrightJS-render scrapeNeonsnapshot storeClaude Codediff · extract · rank { }Notioncompetitive boardGoogle Sheetsranking tableSlackweekly digest

System. A scheduled GitHub Actions job runs Apify and Playwright crawlers across competitor sites. Snapshots land in Neon, where Claude Code detects changes, extracts the substance, and ranks moves by threat level. Results post to a Notion board, a Google Sheets ranking table, and a Slack digest.

Service
Claude core
Custom { }
Architecture 03 · Market Sentiment

Market Sentiment Listening

GoalHear what the market actually says about your brand and products.OutcomeEarly trend signals, not lagging vanity metrics.

HARVESTLANDANALYZESURFACEApifyforum + community crawlPlaywrightJS-render scrapePostgresraw postsClaude Codesentiment · themes · trends { }SnowflakeaggregatesVercelsentiment dashboardSlacksignal alerts

System. Apify and Playwright harvest forum and community discussion into Postgres. Claude Code classifies sentiment, clusters themes, and isolates emerging trend signals. Aggregates roll up into Snowflake and surface through a Vercel dashboard, with high-priority shifts pushed to Slack.

Service
Claude core
Custom { }
Architecture 04 · Dynamic Content Response

Dynamic Content Response Engine

GoalTurn live market signals into content that earns AI and search visibility.OutcomePublished, on-brand answers tuned for AEO and GEO, on a continuous loop.

SIGNALSDATA LAYERGENERATEPUBLISHMEASURE + LEARN · feeds the next cycleUpstream Signalssentiment · intel · trendsDrive + FS MCPbriefs + brand assetsSnowflake / Neonunified signal layerClaude CodeAEO/GEO content engine { }Notion / Mondayhuman reviewGitHubcontent repo + PRVercelNext.js publish

System. Signals from the sentiment, competitive, and trend systems plus brand assets from Google Drive and the Filesystem MCP consolidate into a Snowflake or Neon layer. Claude Code generates AEO and GEO optimized content, routed to Notion or Monday for human review, versioned in GitHub, and published through Vercel. Performance feeds back to sharpen the next cycle.AEO: Answer Engine Optimization · GEO: Generative Engine Optimization

Service
Claude core
Custom { }