Migration Guide · Sales Enablement / RFX
Practical playbook for moving proposal automation from a Loopio / Responsive document-library deployment to a graph-grounded PYRAMYD RFX workspace. Library port, CRM integrations, the parallel run, and the 30-day timeline.
Why teams move
Loopio's own 2024 numbers: AI-powered RFP teams hit under 5 hours per RFP and 15-30% win-rate lift — but only when the underlying substrate is graph-grounded, not document-vector. PYRAMYD ships the substrate Loopio is migrating toward; we're already there.
Source: Loopio, RFP Industry Trends Report 2026.
Side-by-side
| Dimension | Loopio (document-library) | PYRAMYD (graph-grounded) |
|---|---|---|
| Response substrate | Document library + vector search + LLM rewrite | Graph-grounded retrieval with typed entities, citations, and provenance per claim |
| Library maintenance | Quarterly review cycles + manual content audits | Continuous live signal grounding — library auto-flags stale answers when underlying facts change |
| Competitive context in responses | Separate Loopio + Klue / Crayon stack — no native integration | Same graph — competitor capability data, review sentiment, and release activity inline in drafting |
| Median time-per-RFP | Industry benchmark: 25 hours per Loopio's own 2024 data | Under 5 hours per Loopio's AI-powered cohort benchmark — graph grounding hits the same target |
| Reviewer audit trail | Per-document version history | Per-claim provenance — every answer links to the underlying graph entity + source |
| CRM push | Salesforce + HubSpot connectors via Loopio integrations | Same Salesforce + HubSpot connectors — plus deal-stage context flowing back from CRM into drafting |
| Annual contract value | $30K-$80K typical | From $50K — and replaces CI + Product Ops tools at the same time |
The 30-day timeline
Assumes existing Loopio (or Responsive) deployment with 5-8 active RFPs at any time, a typical Salesforce + Highspot integration footprint, and a 3-5 person proposal team.
Week 1 — Discovery
Week 2 — Library port
Week 3 — First parallel RFP
Week 4 — Cutover + Loopio sunset
Migration FAQ
No. Loopio library imports cleanly via JSON / CSV export. The structure (categories, tags, approved-answer hierarchy, owner mapping) carries over. Approved answers become baseline grounding content; the graph layer adds live competitor + customer + product context that updates without manual review cycles.
Same migration pattern. Same import path. Same Salesforce / Highspot / Seismic compatibility. The 30-day playbook applies identically.
Loopio AI is vector-search over your library + LLM rewrite. PYRAMYD is graph-grounded retrieval with typed entities, multi-hop reasoning, and citation provenance per claim. Microsoft Research's GraphRAG benchmarks show 70-80% accuracy improvement on the multi-hop questions that define enterprise RFPs. We've covered the substrate argument in our Sales Enablement / RFX blog post.
Three metrics: (1) median time-per-RFP — Loopio reports 25 hours; AI-powered cohort hits under 5; we target the AI-cohort number by day 60. (2) RFP completion rate — the 22% of RFPs Responsive reports as abandoned should approach zero. (3) Win rate on submitted RFPs — Loopio's 2024 report cites 15-30% win-rate lift for AI-powered teams; we target the midpoint at the named-competitor segment by day 90.
Usually not. Most teams reinvest the recovered 20 hours per RFP into higher-margin work — more strategic RFPs in the pipeline, better win-loss analysis, more time on the deal-stage briefing your AEs actually need.
Book the 30-minute migration call. We'll review your Loopio deployment, scope the library port, confirm CRM compatibility, and set the cutover date.
