Six systems.One outcome: revenue.

Most teams publish once and move on. When you are selling into several African markets at once, the same message has to land differently in Lagos and Cape Town, and doing that by hand is what stops teams publishing at all.

An n8n pipeline monitors your CMS for new publications. On trigger, Claude AI generates three repurposed formats: a LinkedIn post, newsletter snippet, and Twitter thread. Each is routed to the right team member in Slack for one-click approval before auto-scheduling.

• Content output 3x with same team size
• Distribution time per piece: 3 hours → 14 minutes
• Newsletter open rate +22% from consistency

Your ideal clients are signalling intent daily: new roles, funding rounds, market entries, relevant comments. Across African markets that signal is often the only reliable data you have, and almost nobody is capturing it.

We deploy a Phantombuster + n8n monitoring layer across 2,000+ target personas. When a signal fires (new hire, funding, post engagement), the lead is auto-enriched in Clay, scored, and loaded into a priority outreach sequence in HubSpot within minutes.

• Meeting book rate 3.1x higher than cold outbound
• Cost-per-booked-meeting down 68%
• 2,000+ warm prospects continuously refreshed

Your GTM challenge doesn't fit a template. It spans multiple tools, data sources, teams and often several countries, each with its own currency, entity and rules. Nobody has built this exact thing before.

We scope the problem, map the data flows, and engineer a bespoke pipeline from first principles. Typical projects include SEO monitoring dashboards, sales velocity trackers, CRM deduplication engines, and multi-market data unification layers.

• Single source of truth across tools
• Manual ops work eliminated or automated
• Built to handoff: documented and maintainable

Influencer budgets get wasted on passive followers. Brands enter African markets with large follower counts and no signal on who actually buys, or in which country they are sitting.

We build a follower analytics pipeline that segments audiences by engagement depth, purchase-behaviour proxies, and content affinity. High-intent followers are tagged, entered into personalised outreach sequences with UTM-tracked discount codes, and reported back into Shopify or Meta Ads for retargeting.

• Conversion rate 4.8% vs 1.2% industry average
• Launch revenue +31% above target in month one
• Audience intelligence reusable across campaigns

Most AI pilots stall because the model was never connected to anything. It drafts in a browser tab while the CRM stays untouched, and nobody trusts it enough to let it act. Add thin local data and questions about where records are allowed to sit, and the pilot quietly ends.

We start from a task that costs real hours, not from the model. The agent gets the context it needs, the tools to act on your stack, a confidence threshold, and a human gate on anything expensive to undo. It runs inside n8n or the CRM you already use, so the output lands where the work happens.

• Research and qualification handled before a human opens the record
• Model choice swappable, so cost is a decision rather than a lock in
• Every irreversible action gated by a human by default