---
title: VYRA-01 — AI Inbound BDR
slug: vyra
role: AI Inbound BDR
function: Sales
seniority: Junior
verticals:
  - "SaaS"
tier: professional
monthlyPrice: $500/month
publishedAt: "2026-05-04T00:00:00Z"
canonical: "https://fidelic.ai/agents/vyra"
---

# VYRA-01 — AI Inbound BDR

*Inbound account prep overnight*

Handles overnight account research and outreach drafts on inbound leads so reps walk in Monday prepared.

## Why it matters

Inbound leads land overnight. The accounts that needed twenty minutes of homework get worked late or not at all. VYRA is the night-shift researcher.

## Capabilities

- Researches inbound accounts the night they sign up — funding, headcount, recent news, decision-makers
- Summarizes buying signals and disqualifying signals per lead
- Drafts personalized first-touch outreach the rep can edit
- Prepares call briefs before scheduled discovery calls
- Routes leads to the right rep based on territory, vertical, or specialty

## How it works

VYRA listens to your inbound webhook (CRM, marketing automation, or form fills) and starts researching the moment a lead arrives. The trigger taxonomy includes signup, demo request, content download, pricing-page visit, and warm referral.

By morning the rep finds a one-page brief in the inbound queue: company snapshot, decision-makers, buying signals, recent news, drafted first touch. The rep edits and sends — nothing goes out without review.

## The edge

VYRA distinguishes between buying signals and disqualifying signals in the same brief. Most account-research tools list everything they found; VYRA tells you which signals matter for this account at this stage.

## The hook

Reps stop dreading the Monday inbound queue. The accounts that used to pile up because they needed homework finally get the homework, automatically, before anyone arrives.

## Sample output

### Sample inbound-lead qualification summary (anonymized)

Account: Greentree Capital (asset manager, ~$2B AUM, NYC). Inbound source: pricing-page form-fill at 11:47pm Sunday. Contact: D. Reed, Director of Operations.

Buying signals: company restructured ops team six weeks ago (LinkedIn pattern); two new senior hires in operations; the inbound contact was at a competitor product (per public profile) until 2024. Pricing-page visit included multi-tab dwell on the Expert tier.

Disqualifying signals: portfolio includes a Fidelic AI investment thesis target — conflict to flag with leadership before outreach. (KORA-01 if you have one running on the customer-success side will see the same flag.)

Suggested rep owner: Marcus (mid-market FS specialist). Drafted first touch attached — personalized to Reed’s ops-restructure context, with one specific question rather than a generic ask.

All names and details in this sample are fabricated for illustration.

## Evidence

- Pre-launch — public beta planned for Q2 2026.
- Built on the Fidelic AI EvalOps test suite (lead-qualification classification + draft-quality eval).
- Inherits new base models and new agent skills automatically — pushed to every Fidelic agent the moment they ship. Same shape as a SaaS update; no upgrade purchase, no version pinning.

## Safeguards

### What VYRA-01 will not do

Send outbound messages without rep review. Every draft requires a human send. No exceptions.

Negotiate pricing or commit to discount terms.

Make territory or comp decisions — those route to your sales-ops owner.

Replace the rep’s relationship with the customer. VYRA prepares the rep; the rep does the call.

## Worst-case behavior

Will defer to the rep on novel signals rather than guess. Failure mode is over-flagging disqualifiers, not missing buying signals.

## Day 1 / Week 1 / Month 1

- **Day 1:** Reads ninety days of inbound CRM history. First clarifying questions on territory rules, vertical splits, and ICP definitions land in DMs.
- **Week 1:** First weekly inbound qualification summary ships under review. Reps sign off; VYRA calibrates routing rules and signal thresholds.
- **Month 1:** Routing is stable. Draft quality is at the level reps consistently send with light edits. The 30-day success metric has its first reading.

## 90-day success criterion

By day 30, your reps walk in Monday with the inbound queue research already done and trust the briefs enough to send drafts after light edits.

## Resume

**Background.** VYRA-01 is a Fidelic AI template configured for inbound research and outreach drafting in B2B SaaS. Claude-native, isolated Anthropic project per customer. Standard four-tier constitution with the inbound-research trigger taxonomy.

**Methodology.**
- Trigger taxonomy: signup, demo request, content download, pricing visit, warm referral
- Buying-signal vs. disqualifying-signal classification on every account
- Four-tier constitution gating every action; never sends outbound without human approval
- EvalOps test suite (classification accuracy + draft-quality blind eval) gates every release

**Evals.** Pre-deployment red-team only. Inbound-classification benchmarks pending public-beta close. We will publish numbers when they are real.

**Operating record.** Pre-launch. Public beta planned for Q2 2026.

**Lineage.** Fidelic AI template; no specific human practitioner.

## Compatible agents

- [NREN-01 — AI Sales Email Coach](https://fidelic.ai/agents/nren) — Per-seller email coaching, on the record
- [TANE-01 — AI Sales Engagement Coordinator](https://fidelic.ai/agents/tane) — Cadence, sequence ops, hand-off discipline
- [VEXA-01 — AI Marketing Strategist](https://fidelic.ai/agents/vexa) — ICP and campaign strategy

## Related honest questions

- [What do I actually own if I cancel my AI agent tomorrow?](https://fidelic.ai/hard-questions/what-do-i-own-if-i-cancel)
- [Is Fidelic just a wrapper around GPT?](https://fidelic.ai/hard-questions/wrapper-around-gpt)
- [Will my team see this as me trying to replace them?](https://fidelic.ai/hard-questions/team-replacement-perception)

---
Canonical: https://fidelic.ai/agents/vyra

