Service 07 · Growth · Lead Gen & Sales Automation

AI made outbound viable again — for the brands that use it carefully.

AI-assisted target-account research, brand-voice outreach drafting, qualification scoring, and CRM-integrated nurture sequences. Built for jewelry buyers, wholesale accounts, and B2B suppliers — with the brand-safety guardrails generic playbooks ignore.

Schedule a Zoom Consultation See the AI funnel

ENGAGEMENT 6-week build, then ongoing run

STACK CRM · enrichment · AI · sequence tools

FIRST PIPELINE ~60 days from kickoff

POSTURE Brand-safe, not spam-scale

The premise — AI & outbound

Generic outbound is dead. AI-assisted outbound, done with brand discipline, is what replaced it. The brands winning in 2026 use AI to research, personalize, qualify, and follow up — but they keep human judgment in the seat where it matters. The leverage is real; the brand risk is also real.

See the methodology

01Why this matters

Three reasons jewelry growth programs leak pipeline.

The leak is rarely at the top of the funnel. It's in research, qualification, and follow-through — exactly where AI changes the economics.

01 · Research

Generic prospect lists do not move jewelry buyers.

Jewelry buyers are sophisticated. They open the message that references their actual assortment, their actual price points, their actual market — and ignore everything else. AI does this research at scale; humans can't.

02 · Qualification

Every CRM lists leads; almost none qualify them well.

Without a scoring model trained on what your closed deals actually have in common, the sales team chases the wrong accounts politely. A scoring layer changes which meetings get taken first.

03 · Follow-through

Nurture sequences run on autopilot decay.

The first three emails are crafted; the next nine are templates that haven't been touched in two years. AI-generated, brand-voice-tuned, account-aware nurture pulls the long tail back into the buying conversation.

02The AI-assisted funnel

Five stages. AI does what AI is good at; humans do what humans are good at.

Illustrative funnel for a wholesale jewelry brand selling to mid-market US retailers. Numbers are typical, not promised — they're here to show the shape, not commit to a target.

Stage 01 · Source

Target-account sourcing & enrichment

AI builds and enriches the account list — buyer name, assortment fingerprint, price band, market signals, recent activity.

2,400 acctsCurated, not scraped

Stage 02 · Research

AI-assisted account research

Each prioritized account gets a one-paragraph brief — what they sell, what they're missing, why your line fits.

600 briefsReviewed by SDR

Stage 03 · Outreach

Brand-voice outreach drafting

AI drafts personalized outreach at the brand voice; an SDR reviews and sends. No template feel; no spam volume.

300 sentHuman-approved

Stage 04 · Qualify

Scored conversations & meetings

Replies scored against the qualification model; meetings booked with the accounts most likely to close — not the loudest.

45 meetingsScored A / B / C

Stage 05 · Close

Deals & first orders

Sales takes qualified meetings into POs. Nurture continues against the long tail — automatically, on brand voice, indefinitely.

12 dealsIn quarter

03Methodology

Five phases. ICP first, AI second, scale third.

The single most common mistake is buying tools before defining the ideal customer. We do the foundations first — and the AI lands on something coherent rather than amplifying noise.

ICP & target-account research

Sharp definition of the ideal customer profile — by category, price band, market, and behavioral fingerprint. The initial target-account list is built and enriched from this profile, not from a generic data buy.

Week 1–2

CRM & data stack setup

Clean foundation in your existing CRM (or a recommended one) — account schema, enrichment integrations, qualification fields, and the data hygiene rules that prevent the system rotting in six months.

Week 2–3

AI prospecting workflow

Account research and outreach drafting prompts tuned to your brand voice, your category, and your buyer language. The SDR works alongside the AI — not against a generic template.

Week 3–5

Qualification & nurture automation

Scoring model trained on your closed deals; A/B/C tiers route attention. Nurture sequences kept fresh by AI, governed by humans — the long tail stays warm without anyone hand-writing email twelve.

Week 4–8

Run-rate & governance

Brand-safety policy on AI-generated outreach, deliverability monitoring, list hygiene cadence, and the monthly KPI review — pipeline created, conversion, cycle time, CAC. The discipline that prevents drift.

Ongoing

SDR throughput

5–10×

Researched, personalized outreach per SDR per week with the AI workflow in place.

Meeting-to-deal

2–3×

Conversion improvement once qualification scoring routes attention to A-tier accounts first.

CAC reduction

30–50%

Drop in fully-loaded customer acquisition cost across paid and outbound channels combined.

04Deliverables

The working system your sales team runs daily.

Every deliverable is an artifact someone uses — not a project archive.

ICP & target-account list

The ideal-customer definition and the working account list — sourced, enriched, deduplicated, and tiered against the qualification model.

CRM & data-stack architecture

Account schema, enrichment integrations, scoring fields, and data-hygiene rules — installed in your existing CRM or a recommended one.

AI prospecting workflow + prompt library

The research, drafting, and personalization prompts tuned to your brand voice and category — paired with the SDR review SOPs that keep humans in the loop.

Qualification scoring model

Trained on your closed deals — the model that routes A-tier replies to the calendar first and demotes the noise without ignoring it.

Nurture sequence playbook

The full long-tail nurture program — AI-drafted, brand-voice tuned, account-aware — with the review cadence and quality gates that keep it from feeling synthetic.

Pipeline & CAC dashboard

Pipeline created, conversion by stage, cycle time, fully-loaded CAC, and AI-assisted output quality — on a single monthly page for sales and finance to read together.

05Who it's for

Built for four kinds of jewelry growth program.

Wholesale, supplier-side, DTC, or trade-show-led — the framework adapts to whichever pipeline you're trying to build.

A · Wholesale

Wholesale brands selling into retailers

Brands building or scaling a wholesale book — independent retailers, chains, and house-brand programs — where personalized outbound is the only viable acquisition channel.

B · B2B supply

OEMs, ODMs, gem dealers, B2B suppliers

Suppliers selling to brands and retailers — where the prospect universe is small, the relationships are long, and the leverage is in research depth, not outreach volume.

C · DTC

DTC brands scaling beyond paid social

Digitally-led brands whose paid acquisition has hit diminishing returns — adding CRM-led conversion, lifecycle automation, and selective B2B outbound to diversify the engine.

D · Trade-show

Trade-show-driven businesses

Brands and suppliers whose pipeline was historically built from JCK, Vicenza, Hong Kong, and similar events — moving to a year-round pipeline that doesn't depend on the trade calendar.

06Engagement

Build the system, then run it as a partnership.

Most engagements begin with a six-week build and continue as an operating retainer — the system is installed once, but pipeline programs need a hand on the wheel to stay healthy.

Build

Six-week lead-engine build.

Fixed-scope · single deliverable, no commitment beyond

ICP, target-account list, and CRM setup
AI prospecting workflow with brand-voice tuning
Qualification scoring model and nurture sequence drafts
Handover and SDR training; debrief with owner and sales lead

Book the build

Ongoing Most engagements

Monthly operating retainer.

Monthly retainer · sustained run partnership

Standing weekly Zoom with sales and growth leads
Prompt and sequence iteration; scoring-model retraining quarterly
List refresh, deliverability monitoring, and brand-safety review
Monthly pipeline + CAC dashboard reviewed against plan

Schedule a discovery call

07FAQ

Questions growth leaders ask first.

Does this replace our sales team?

No. AI handles research, drafting, list hygiene, and sequence maintenance. Humans handle judgment — which accounts matter, which messages send, and every meeting that gets booked. The work-mix changes; the seat doesn't go away. Most engagements increase sales-team effectiveness without changing headcount.

AI outreach feels spammy — how is this different?

It is different — by design. The volume is curated, not scaled; every account gets a real research brief before any outreach drafts; every outbound message is reviewed by a human SDR before send; brand-voice tuning rejects the off-tone templates that make AI outreach feel synthetic. Spam-scale AI hurts the brand more than it generates pipeline; we won't run that play.

Where does the data come from? Is it compliant?

From legitimate enrichment providers, public-source research, and your own first-party data. We do not use scraped or grey-market lists. Outreach is built to be CAN-SPAM, GDPR, and PDPA aware — suppression honored, opt-out frictionless, and consent tracked where it matters. The system is designed to be defensible if your legal counsel asks.

Will you require us to switch CRMs?

No. The build runs on whatever you have today — HubSpot, Salesforce, Pipedrive, or in-house. If a CRM change is justified by the diagnostic, the requirements and selection come out of the engagement — but we do not lead with a software purchase.

How do you protect our brand voice in AI-generated outreach?

Three layers — a brand-voice training pack built from your approved copy and founder language, prompt libraries tuned to that voice, and a human SDR review before any outreach sends. The pairing with our Brand & Marketing practice tightens this further when both engagements run together.

How long before we see qualified pipeline?

First outreach typically lands in week 4–5; first meetings in weeks 6–8; first deal cycles complete within the typical sales cycle for your category — 60–120 days for wholesale, faster for DTC. The system compounds — month three usually outperforms month two by a noticeable margin as the scoring model and nurture sequences learn.

08Related services

Often paired with this engagement.

Growth work compounds with brand and digital. Brand makes the outreach defensible; digital makes the inbound channel real; finance reads the result.

Ready when you are

Build pipeline AI can run, that the brand can defend.

One conversation is usually enough to see whether your current pipeline can be tightened with AI workflow, or whether the foundation needs work first. Bring your hardest growth question.

Schedule a Zoom Consultation Send a message instead