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Processed 34 inbound support tickets across Zendesk and Intercom. Classified 28 as Tier-1 routine (password resets, billing inquiries, feature questions) and resolved them using approved policy language. Remaining 6 tickets flagged as Tier-2: 3 billing disputes requiring refund approval, 2 contract modification requests, 1 data export request under GDPR. Each Tier-2 ticket packaged with full conversation history, customer lifetime value, and recommended resolution for human review.

Ran pipeline hygiene audit across 412 active deals in HubSpot. Identified 18 deals with stale close dates (no activity in 14+ days), 7 deals missing required fields (decision maker, budget range, or timeline), and 3 deals miscategorized by stage (demo completed but still in 'Discovery'). Updated 22 records directly. Generated prioritized follow-up list for 8 high-value deals ($10k+ ARR) approaching end-of-quarter with no scheduled next step. Flagged 2 deals for de-qualification based on ICP scoring criteria.

Analyzed campaign performance across 3 active Google Ads campaigns and 2 Meta ad sets. Paused 1 underperforming ad group (CPA $42 vs. target $28, running for 7 days with no conversion improvement trend). Reallocated $180/day budget to top-performing variant (CPA $19, 2.4% CTR). Drafted 4 new ad creative variations for A/B testing. Compiled weekly demand generation report: 847 impressions, 31 qualified clicks, 4 demo requests attributed to paid channels.

Assembled daily operating digest across all Pragma work surfaces. Summarized: 34 tickets resolved (28 autonomous, 6 pending human review), 22 CRM records updated, 1 campaign paused, $180/day reallocated. Tracked 3 open commitments with external deadlines this week. Identified 1 dependency risk: client knowledge base update needed before next support policy change takes effect. Digest delivered to Slack #pragma-ops at 17:02.

Ingested 2,847 source payloads from 4 financial data providers (Capitol Trades, SEC EDGAR, Alpaca, Yahoo Finance). Normalized raw responses into typed Postgres records with standardized field mapping. Detected 12 schema drift events: 3 providers changed field names in latest API version, 1 provider added a new nested object. Applied automatic migration for 9 backward-compatible changes. Flagged 3 breaking changes for human review with before/after schema diff attached.

Completed data validation pass across 2,847 ingested records. Ran 14 validation rules: null checks on required fields, date format consistency, numeric range bounds, cross-source deduplication, and ticker symbol verification against master list. Found 23 records with validation errors: 8 missing required 'trade_date' field, 6 with out-of-range price values (likely stock splits not yet reflected), 9 duplicate entries from overlapping API windows. Moved all 23 to review queue with source references and suggested corrections attached.

Ran infrastructure health check across 3 VPS instances, 2 PostgreSQL replicas, and 1 Redis cache. All services reporting nominal. Ingestion pipeline latency: p50 120ms, p95 340ms, p99 890ms. Detected 1 degraded source condition: Capitol Trades API returning 429 (rate limited) on 4% of requests. Adjusted retry cadence from 2s to 5s exponential backoff. Set up fallback to cached data for non-critical dashboards. Datadog alert threshold updated. No PagerDuty escalation required.

Generated daily intelligence digest for Meridian operations. Key metrics: 2,847 records ingested (99.2% pass rate), 23 in review queue, 0 data drift unresolved. Portfolio signal summary: 14 new congressional trades detected (7 purchases, 7 sales), 3 insider transactions flagged as material. Compiled trend analysis comparing current week vs. rolling 30-day average across all tracked tickers. Digest delivered with all source citations and confidence scores for each signal classification.