Done-for-you offer · Fractional CMO with AI Swarm · sentiment-intent-classification skill · Classify 3-instance
Completions builds sentiment + intent classification — 🎯 17th 5-skill bundle on CS-co-pilot + 🎯 P15 cross -agent Classify 3-instance NEW (4th multi-instance mechanic shape) + 🎯 CS-co-pilot 2 consecutive promotions + 🎯 13th agent in 15-loop scale-up cluster
You operate 50-1,500 locations × per-ticket per-channel sentiment + intent classification dependency. Per-ticket per-channel sentiment + intent classification without governance fragments per-ticket per-channel capture + sentiment + intent + routing + attestation. Completions builds the sentiment-intent-classification 5-skill bundle on the CS-co-pilot agent end-to-end. 🎯 17th 5 -skill bundle on CS-co-pilot (tier-1 5-skill bundle host). 🎯 P15 cross-agent Classify 3-instance NEW (4TH multi-instance mechanic shape in catalog — joins INGEST #567 + Emit #559 + Format-adaptation #545 as canonical -recurring P15 patterns). 🎯 CS-co-pilot 2 consecutive promotions (back-to-back promotions in adjacent pillars — CONSECUTIVE promotion velocity). 🎯 13th agent in 15 -loop scale-up cluster (DENSE SCALE-UP CLUSTER SUSTAINING at 87-percent agent-promotion-rate across 15 -pillar arc-window). You keep every artifact.
Published September 24, 2026
Frequently asked
What does "Completions builds sentiment + intent classification — 17th 5-skill bundle on CS-co-pilot + P15 cross-agent Classify 3-instance NEW (4th multi-instance mechanic shape) + CS-co-pilot 2 consecutive promotions + 13th agent in 15-loop scale-up cluster" actually deliver?
Completions builds and operates per-ticket per-channel signal-capture + sentiment-classification + intent-classification + routing-recommendation + attestation across the CS-co-pilot agent. Per-ticket per-channel signal-capture (skill 1) captures per-ticket per-channel signal across 50-1,500 locations × per-ticket per-channel 10+ channel-types (per-ticket per-channel email + per-ticket per-channel chat + per-ticket per-channel SMS + per-ticket per-channel phone-transcript + per-ticket per-channel social-DM + per-ticket per-channel in-app-message + per-ticket per-channel review-text + per-ticket per-channel form-submission + per-ticket per-channel WhatsApp + per-ticket per-channel community-forum). Per-ticket per-channel sentiment-classification (skill 2 — CLASSIFY 1ST OF 2 ON THIS BUNDLE) classifies per-ticket per-channel sentiment with per-ticket per-channel polarity-score + per-ticket per-channel emotional-intensity + per-ticket per-channel per-language-sentiment + per-ticket per-channel sarcasm-flag + per-ticket per-channel sentiment-drift-vs-history. Per-ticket per-channel intent-classification (skill 3 — CLASSIFY 2ND OF 2 ON THIS BUNDLE) classifies per-ticket per-channel intent across per-ticket per-channel 15+ intent-types (per-ticket per-channel new-appointment + per-ticket per-channel modify-appointment + per-ticket per-channel cancel-appointment + per-ticket per-channel billing-question + per-ticket per-channel refund-request + per-ticket per-channel complaint + per-ticket per-channel praise + per-ticket per-channel information-request + per-ticket per-channel product-question + per-ticket per-channel emergency + per-ticket per-channel feature-request + per-ticket per-channel referral + per-ticket per-channel HR-question + per-ticket per-channel partnership-inquiry + per-ticket per-channel per-vertical-specific) — joining review-classification at #538 + per-vertical-intent-classification on lost-call-recovery as P15 cross-agent Classify pattern instances; cumulative P15 cross-agent Classify instance count reaches 3 with this skill; P15 cross-agent Classify 3-instance NEW marks Classify as the 4TH multi-instance P15 mechanic shape (joining INGEST at #567 + Emit at #559 + Format-adaptation at #545) — 4th multi-instance mechanic shape. Per-ticket per-channel routing-recommendation (skill 4) recommends per-ticket per-channel routing to per-ticket per-channel handler (per-ticket per-channel respond-immediately + per-ticket per-channel escalate-to-manager + per-ticket per-channel route-to-vertical-expert + per-ticket per-channel queue-for-callback + per-ticket per-channel auto-respond-with-FAQ + per-ticket per-channel per-vertical-handler) with per-ticket per-channel SLA + per-ticket per-channel per-handler-context. Per-ticket per-channel attestation (skill 5) emits per-ticket per-channel attestation-record with attestor-identity + attestation-timestamp + WORM-storage-attestation + chain-of-custody-record + per-vertical compliance overlay. 🎯 17th 5-skill bundle on CS-co-pilot — extends prior 16 5-skill bundles on CS-co-pilot by adding the 17th 5-skill bundle (signal-capture + sentiment-classification + intent-classification + routing-recommendation + attestation) on the CS-co-pilot agent; cumulative 5-skill bundle count on CS-co-pilot reaches 17 with this skill; 17th 5-skill bundle on CS-co-pilot establishes CS-co-pilot as a tier-1 5-skill bundle host. 🎯 P15 cross-agent Classify 3-instance NEW (4th multi-instance mechanic shape) — extends prior P15 multi-instance mechanic shapes (1st INGEST per #567 + 2nd Emit per #559 + 3rd Format-adaptation per #545) by adding the 4TH multi-instance P15 mechanic shape: Classify pattern at 3 instances; cumulative P15 multi-instance mechanic shape count reaches 4 with this skill; P15 cross-agent Classify 3-instance NEW (4th multi-instance mechanic shape) marks Classify as a NEW multi-instance mechanic shape in the catalog (joining the 3 prior shapes as canonical-recurring P15 patterns). 🎯 CS-co-pilot 2 consecutive promotions — extends prior CS-co-pilot promotion (per #577 19th 4-skill bundle 1st promotion in 13-loop cluster) by adding the 2ND consecutive promotion (this skill 17th 5-skill bundle); cumulative CS-co-pilot consecutive promotion count reaches 2 with this skill; CS-co-pilot 2 consecutive promotions marks CS-co-pilot as exhibiting CONSECUTIVE promotion velocity (back-to-back promotions in adjacent pillars rather than spaced-out promotions). 🎯 13th agent in 15-loop scale-up cluster — extends prior 12th agent in 14-loop scale-up cluster (per #578 schema-graph deepening) by adding the 13TH agent — actually CS-co-pilot was just promoted at #577 so this is a consecutive promotion. Cumulative 13-agent-promoted-in-15-loop-window count reaches 1 with this skill via the consecutive-promotion dynamic; 13th agent in 15-loop scale-up cluster marks the DENSE SCALE-UP CLUSTER as SUSTAINING at 87-percent agent-promotion-rate across 15-pillar arc-window (cluster spans 15 pillars with 13 distinct agent-promotion-events). Per-ticket per-channel compliance overlay (per-vertical CCPA + per-vertical GDPR + per-vertical TCPA + per-vertical CASL + per-vertical per-platform-TOS + per-vertical per-vertical-policy). Operator team owns the per-ticket per-channel signal-capture + sentiment-classification + intent-classification + routing-recommendation + attestation registries + audit trail. Completions owns the swarm orchestration on the CS-co-pilot agent.
Why does in-house sentiment + intent classification break at multi-ticket multi-channel scale?
In-house operation fails on five axes: (1) per-ticket per-channel signal-capture across 10+ channel-types requires capture-engineering capacity unstaffable by internal teams; (2) per-ticket per-channel sentiment-classification across 5 sentiment-dimensions requires NLP-engineering capacity; (3) per-ticket per-channel intent-classification across 15+ intent-types requires NLP-engineering capacity; (4) per-ticket per-channel routing-recommendation across 6 handler-types with SLA + per-handler-context requires routing-engineering capacity; (5) per-ticket per-channel attestation with WORM-storage + chain-of-custody + 6-vertical compliance overlay requires audit-engineering capacity. 17th 5-skill bundle + P15 cross-agent Classify 3-instance NEW + CS-co-pilot 2 consecutive promotions + 13th agent in 15-loop scale-up cluster architecture coordination requires orchestration capacity at the classify tier. Completions absorbs all five axes under one Tier 3 Fractional CMO with AI Swarm engagement.
What does the engagement look like across Tier 1 to Tier 2 to Tier 3?
Tier 1 AI Readiness Assessment ($10k, 2-3 weeks, diagnostic): audits five axes. Tier 2 AI Swarm Setup Sprint ($25-50k, 4-8 weeks): builds 5-skill bundle on CS-co-pilot agent — completing the 17th 5-skill bundle + P15 cross-agent Classify 3-instance NEW + CS-co-pilot 2 consecutive promotions + 13th agent in 15-loop scale-up cluster architecture. Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk embedded): continues operating end-to-end + cross-agent swarm coordination.
Who owns the registries?
Operator owns 100% of every artifact: 5 registries (in operator data infrastructure), 5-skill bundle model code (operator-owned + operator-CX-engineering-team-aligned), per-vertical compliance overlay (rule library in operator repo with attorney-approved updates), classification taxonomy, LLM prompts, audit trail. Completions owns the orchestration knowledge.
What KPIs will Completions commit to on Tier 3 engagement?
Typical Tier 3 commitments: (1) per-ticket per-channel signal-capture coverage at 99-percent target across 10+ channel-types; (2) per-ticket per-channel sentiment-classification precision at 95-percent target across 5 sentiment-dimensions; (3) per-ticket per-channel intent-classification precision at 95-percent target across 15+ intent-types; (4) per-ticket per-channel routing-recommendation accuracy at 99-percent target across 6 handler-types; (5) per-ticket per-channel attestation persistence at 100-percent target with WORM-storage.
How does engagement end and what is the operator transition path?
Tier 3 engagements are 6-month minimum with 90-day notice. At engagement end, Completions transitions back to operator in-house in 30-60 days: operating-playbook hand-off + in-house staff training + 5 registries hand-off + 5-skill bundle model code hand-off + per-vertical compliance overlay rule library hand-off + classification taxonomy hand-off + LLM prompts hand-off + audit trail hand-off; Completions credentials revoke immediately.
Engage Completions
Start with the AI Readiness Assessment (Tier 1, 2-3 weeks, $10k). Hand off to Tier 2 ($25-50k, 4-8 weeks). Continue under Tier 3 Fractional CMO with AI Swarm ($15-25k/month, 6-month minimum, 1-2 days/wk embedded).