The Seductress B2B — Sales Seduction Training

status: DESIGN (ship-ready)

drafted: 2026-04-23T10:50 UTC

author: TITAN

parent_memo: F:/TITAN/plans/advisors/SEDUCTRESS-RESEARCH-MEMO-2026-04-23.md

sibling: Consumer Voice Product (age-verif, NSFW, regulatory risk — separate track)

Why ship B2B first

Per the parent memo: B2B is the lowest-risk, highest-ACV, fastest-to-revenue line. It bypasses ALL of the consumer-side regulatory complexity:

| Risk (consumer side) | Risk (B2B side) |

|---|---|

| UK OSA / EU AI Act age verification | None — adult professional users |

| Parasocial dependency lawsuits | None — explicit business training context |

| NSFW merchant-account compliance | Standard B2B SaaS payment rails (Stripe, not CCBill) |

| Character.AI wrongful-death liability shadow | No — business coaching disclaimer covers it |

| Reputational headline risk | Frame = "enterprise charisma + negotiation training" |

Projected economics: $1,000-5,000/seat/year × 50-500 seats per enterprise customer = $50K-2.5M ARR per logo. Break-even after 1 decent customer.

The product in one sentence

Seductress B2B is a voice-first sales coaching platform where enterprise reps practice high-stakes conversations — negotiation, cold outreach, executive presence — against AI personas modeled on 9 canonical archetypes of persuasion.

The 9 archetypes reframed for enterprise sales

Directly mapped from Greene's "Art of Seduction":

| Greene | Sales-Coach Persona | What the rep practices |

|---|---|---|

| Siren | The Unreachable Decision-Maker | Opening a conversation with someone who has no reason to care |

| Rake | The Aggressive Prospect | Handling objections without flinching, matching intensity |

| Ideal Lover | The Needs-Alignment Buyer | Discovery calls — reflecting back what the buyer has said in a way that makes them feel understood |

| Dandy | The Charismatic Competitor | Positioning against a well-liked incumbent vendor without bashing |

| Natural | The Skeptical Champion | Building trust with a low-ego technical evaluator |

| Coquette | The Stringing-Along Buyer | Re-engaging a prospect who has been ghosting for 90 days |

| Charmer | The Committee Meeting | Working the room — reading 4-6 stakeholders and adjusting in real time |

| Charismatic | The CEO Pitch | 2-minute pitch to a distracted executive with no patience |

| Star | The Industry Analyst | Getting covered, quoted, or endorsed without buying it |

Each persona = a voice agent with:

Distinct voice (Hume EVI 3 custom voice profile, 2-3 min sample)
Memory of prior practice sessions with this rep
Difficulty level (junior / senior / skeptical / hostile)
Scenario variants (first call / negotiation / renewal / escalation)

Product loop

1. Rep enrolls — company name, role, goal (quota, promotion, new territory)

2. Diagnostic call — 10-minute conversation with The Natural. AI profiles rep's baseline.

3. Weekly scenarios — rep picks 1-3 personas per week, runs 15-min calls with each

4. Coaching feedback — after each call: transcript + scoring on 6 dimensions (rapport, listening, framing, objection handling, closing, follow-through)

5. Manager dashboard — aggregate team scores, drill into individual reps, export to LMS

Tech stack (reuses Silent Infinity + Consumer Seductress)

| Layer | Choice | Reuse from |

|---|---|---|

| Voice I/O | Hume EVI 3 (custom voice per archetype) | Seductress consumer |

| LLM core | Bedrock Claude Sonnet 4.6 | Silent Infinity |

| Memory | DynamoDB tiered (hot/warm/cold/staging) | Silent Infinity R0161 |

| Correction memory | put_correction (strength/scope/conflicts_with) | Silent Infinity R0172 |

| Session recap | recap_session structured | Silent Infinity R0173 |

| Transcription | AWS Transcribe Streaming | Silent Infinity |

| Auth | Cognito + SSO (SAML/SCIM for enterprise) | Silent Infinity + new |

| Billing | Stripe (B2B invoice, net-30) | New |

| Manager dashboard | Separate Next.js app on same Lambda backend | New |

Reuse percentage: ~70%. The B2B wrapper is a 30% net-new build on top of existing Silent Infinity infrastructure.

Pricing

|---|---|---|---|

| Starter | 1-10 | $1,200 | 3 archetypes, 4 sessions/mo, self-serve dashboard |

| Team | 11-50 | $2,400 | All 9 archetypes, unlimited sessions, manager dashboard, Slack integration |

| Enterprise | 50+ | $3,600-5,000 | Custom personas, SSO/SCIM, LMS export, dedicated success manager |

Key pricing decision: priced ABOVE most sales-training SaaS (Gong = $1,500/seat, Chorus = $1,200/seat) because the experiential voice practice is demonstrably different. Anchor on training-budget line item, not software line item.

Go-to-market wedge

Ideal first customer: 50-200-rep SaaS sales org where the VP of Sales has measurable ramp-time pain (new hires take 6+ months to quota). The wedge:

> "Your new AEs are practicing on real prospects. That's expensive. We give them a practice partner that's available 24/7 and never hangs up."

First 10 customers come from Harnoor's existing HM Tech Fortune 500 network. Sell the pilot at $5K one-time to 3 of them in Q2. Case-study the wins. Publish.

Anti-commoditization moat

Competitors (Gong, Chorus, Revenue.ai) do conversation analytics — they listen to your real calls and coach you after. Seductress B2B does conversation SIMULATION — rep practices ahead of time against scenarios that rehearse specific hard moments.

Combined with the canonical-tradition framing (2,000 years of seduction scholarship repackaged as sales craft), the category positioning is new. First-mover on AI-voice-roleplay-for-sales has a 12-18 month window before Gong/Chorus ship a copycat.

90-day launch plan

| Week | Deliverable |

|---|---|

| 1 | LLC setup (separate corp from Silent Infinity) · landing page · pilot pricing sheet |

| 2 | Hume EVI 3 contracts for 3 custom voices (The Charmer, The Siren, The CEO) |

| 3-4 | Voice agent build on Bedrock — reuse R0161 memory + R0173 recap |

| 5-6 | Manager dashboard (Next.js on Lambda) — 6-dimension scoring engine |

| 7 | 3 pilot customers signed from Harnoor's HM Tech network @ $5K one-time each |

| 8-12 | 90-day pilot run + outcome measurement + case studies |

| 13+ | Convert 3 pilots to annual + publish case studies + inbound wave |

Risks specific to B2B (different from consumer)

| Risk | Mitigation |

|---|---|

| Companies won't let reps train on company devices with voice AI | SOC 2 Type 2 by Q3 + on-prem LLM option for top enterprises |

| Reps find it embarrassing or gimmicky | Position to MANAGERS first (dashboard + team ROI) — reps follow the mandate |

| Gong/Chorus add "practice mode" feature | Move fast, own the canon, build proprietary persona library |

| Scoring feels arbitrary ("did I really do worse?") | Publish the rubric + offer optional human coach review quarterly |

Revenue targets (bottom-up)

Year 1: 5 pilots → 3 annual conversions → 3 × $50K avg = $150K ARR
Year 2: 25 customers × $150K avg = $3.75M ARR
Year 3: 100 customers × $200K avg = $20M ARR

(These are the numbers that make the separate-entity math work — not consumer-Seductress-subsidy-level, real SaaS-exit-multiple territory.)

Decisions I'm defaulting on (per NEVER-STOP)

Entity: Delaware C-corp, separate from Silent Infinity + HM Tech
Name: "Canon" (placeholder — testing: "Seiseki", "Archetype", "The Practice Room")
First voice: The Charmer (broadest use case, easiest first agent)
Pilot pricing: $5K one-time, 90 days, 10 seats
Target pilot ICP: HM Tech's existing Fortune 500 SaaS customers with >50-rep sales orgs

If any of those defaults are wrong, reply with the override T-number and I'll flip. Otherwise I start scaffolding.

Next actionable (scaffolding this turn)

I'll now scaffold F:/projects/canon-b2b/ with:

README.md — product brief compressed from this doc
landing-page/ — Next.js single-page pitch site
voice-agent/ — Python Lambda skeleton on Bedrock + Hume
dashboard/ — empty Next.js dashboard ready for build

Entity setup + Hume contract = Harnoor blockers (filed).