Frankow Ltd / AI-assisted commercial development

Research the right companies. Write relevant outreach. Keep a human in control.

I built the Frankow Ltd Outreach Engine to turn a clear commercial target into researched prospects, personalised first-touch emails and accountable follow-up—without turning prospect development into bulk automation.

Outreach EngineFrankow Ltd / Outreach
operator-controlled
1Define the commercial targetstrategy
2Find and research companiesmanual · AI · data
3Prepare a relevant first emailpersonalised
4Review every recipient and drafthuman gate
5Send carefully and record outcomescontrolled
01 — Why I built it

Prospect development is where commercial strategy either becomes a conversation—or stalls.

In UK and European market-entry work, the difficult part is rarely producing a long list. It is deciding which accounts matter, why the proposition is relevant, who should receive it and what a credible first conversation sounds like.

I built the engine because generic sales automation strips out that judgement, while fully manual research makes disciplined outreach slow and inconsistent. This system sits between those extremes.

Frankow Ltd sets the commercial direction. Market, channel, partner profile, value proposition and evidence come first.

The engine adds structured execution. It researches, drafts, records sources and keeps each first email behind operator approval.

Read about Rafael’s commercial experience →

02 — Three research routes

Use the right source for the campaign—not one data method for everything.

Company sourcing and contact discovery are explicit choices. Regardless of the route, information is reviewed before it enters the send workflow.

Manual

Named accounts and your own lists

Add a company directly, paste a domain or import a structured list when the target accounts are already known. The engine validates the record, researches the context and prepares a draft.

No external data-provider credits. AI research and drafting usage still applies.
Explorium

Vibe Prospecting data

Use natural-language searches over Explorium’s B2B data, preview a sample and import structured company or professional records. Verified contact details can be revealed only for prospects worth the additional credit cost.

Explorium currently advertises 146M+ business entities, 767M+ professional profiles and 4,000+ signals. Credits are purchased separately; the estimate is reviewed before export. View Explorium’s data figures ↗

Cost note: Anthropic API usage and Explorium/Vibe Prospecting credits are third-party usage costs, not included in the consultancy fee or engine hosting. Vendor prices and coverage change; each campaign should use current estimates rather than treating these examples as fixed pricing.

03 — How it works

From commercial brief to a reviewed first conversation.

The system supports the work. It does not replace the operator’s decision about fit, accuracy or tone.

01 / Context

Set the business and campaign brief

Define the offer, audience, geography, positioning, tone and the specific outcome the outreach should open.

02 / Source

Choose manual, AI or Explorium

Start from named accounts, discover candidates with AI, or use structured Vibe Prospecting data.

03 / Research

Build an evidence-backed angle

The engine checks the business, records source URLs and marks uncertain claims as needing verification.

04 / Draft

Prepare the first-touch email

A concise message is generated from the campaign context, research, founder voice and approved compliance footer.

05 / Review

Human approval is required

The operator checks the company, recipient, research and exact draft. Editing invalidates the previous approval.

06 / Send & learn

Control volume and record outcomes

Send limits, suppression and unsubscribe checks run again at send time. Costs, sends and replies feed campaign results.

04 — Inside the system

A practical operator workspace—not another crowded sales dashboard.

The current interface separates business settings, outreach plans, email review and results so the next action is clear.

05 — Control by design

Automation stops before the decision that matters.

The system is deliberately low-volume and built around review, suppression and traceability rather than throughput.

✓Exact-draft approval

Every first email waits for operator review. Changing the draft or recipient removes its sendable state.

✓Business-context review

The operator reviews the company and recipient in context; the interface does not delegate that judgement to an AI label or add a meaningless extra click.

✓Global suppression

Opt-outs and blocked addresses are checked across the engine, not only inside one outreach plan.

✓One-click unsubscribe

Identity, visible opt-out wording and signed one-click unsubscribe are required before sending.

✓Address and domain checks

Syntax and mail-domain checks fail closed. Pattern-guessed addresses remain blocked during launch.

✓Low daily limits

Sending stays deliberately small while a new domain builds reputation. Scheduled sending remains disabled at launch.

These controls support responsible UK B2B outreach; they are not a blanket legal guarantee. Lawful use still depends on the targeting, relevance, records, transparency and circumstances of each campaign.

06 — Built into Frankow Ltd’s work

Commercial judgement first. Structured AI second.

The Outreach Engine is part of the operating system I use to support UK and European market entry, distribution, partnerships and account development. It helps maintain research quality and follow-through after a commercial direction has been agreed.

It is not sold as a contact-list machine or autonomous email service. The value comes from combining the system with a clear route-to-market decision and experienced operator review.

07 — Practical questions

What the engine is—and what it is not.

Is this a bulk cold-email platform?

No. It is designed for individually researched, low-volume B2B outreach. Every first email remains behind operator approval, and the launch sending limit is deliberately conservative.

Does AI decide who receives an email?

No. AI can suggest companies, research context and prepare a draft. Discovered companies, recipient details and the final email remain subject to human review.

What is Explorium Vibe Prospecting used for?

It provides a natural-language route into structured B2B company and professional data. The engine uses a preview-and-approval workflow so credits are committed only after the sample and cost estimate are reviewed.

Can it support market-entry and channel-development projects?

That is the main reason it exists. It helps turn an agreed market, partner or account strategy into consistent prospect research, relevant first-touch communication and visible next actions.

Does the system guarantee GDPR or PECR compliance?

No software can guarantee compliance independently of how it is used. The engine enforces identity, opt-out, suppression and review controls, while the operator remains responsible for targeting, relevance, lawful basis and records.

Have a market, partner or account-development challenge?

Discuss the commercial objective