AI Email Automation
Not mail merge. AI-written emails that reference each recipient's company, role, recent activity, and intent — sent at the exact moment they're most likely to convert.
Why Generic Email Automation Fails
Mass email was always a compromise. AI ends the compromise — every email reads like it was written by someone who actually did their research.
Recipients can spot a mail merge from the first sentence. {{firstName}} personalisation stopped working years ago. Open rates are declining industry-wide.
Campaigns send on a schedule — not when a prospect just visited your pricing page, just got promoted, or just started at a new company.
A founder gets the same email as a junior manager. An e-commerce brand gets the same pitch as a SaaS company. Relevance is zero.
First email sent. No reply. Nothing happens. The follow-up is an afterthought rather than a designed, multi-touch sequence with clear exit conditions.
When every email references the recipient's actual company, recent activity, and role — it stops being marketing and starts being relevant. That's the difference automation creates.
What AI Email Automation Actually Does
Behaviour-triggered, AI-written, optimally timed — and tracked all the way to reply.
A signal fires — page visit, form submit, job change, or schedule-based trigger.
Contact enriched with company news, LinkedIn profile, and CRM history in real time.
Claude or GPT-4o drafts a personalised email using all available context and your voice.
Delivered at the optimal time — or after human review if configured for high-value accounts.
Opens, clicks, and replies trigger the next branch — re-engage, escalate, or close.
Emails fire when intent is highest — pricing page visit, demo drop-off, job change detected.
Each email unique — referencing company news, role, industry, and history without manual effort.
AI learns when each contact is most likely to open and reply — emails sent at that window.
Replies auto-logged to CRM, intent classified, next step triggered — no manual triage.
What Companies Actually Use AI Email For
All use cases are live in production. Metrics are 90-day averages from active deployments.
Prospect visits pricing page → enriched with LinkedIn + Apollo → AI writes a relevant first email referencing their company and role → sent within 90 seconds.
Order delivered → AI writes a review request, upsell, and reorder reminder personalised to the exact products bought — timed to the purchase cycle.
Trial user doesn't activate feature → AI writes a contextual tip referencing their account type and what they've done so far. Activation rate up 41%.
Subscription cancels or engagement drops → AI writes a personalised win-back email referencing their usage history and what they'd be missing.
AI Email Results Across Deployments
Aggregated from 60+ AI email automation deployments. Measured 90 days post-launch.
Where AI Email Delivers the Most
By sequence type, 90-day average across active clients.
Average ROI across all client types
Everything Included in AI Email Automation
Full delivery from strategy through to ongoing optimisation — nothing extra.
Every workflow, configuration, and script is yours — with full documentation and Loom walkthroughs. Zero lock-in
Yes. Those tools personalise the first line or the company name. Our system uses AI to write the entire email — referencing company news, the recipient's role, their industry challenges, and your product's specific value for their context. The output reads like a thoughtful human wrote it.
We extract your brand voice during discovery — analysing your best-performing past emails, your brand guidelines, and examples of tone. The AI prompt is engineered to match that voice. Every output is reviewed in UAT before going live.
Yes — we've deployed both. B2B outbound uses Apollo + LinkedIn context. B2C e-commerce uses purchase history, browse behaviour, and Shopify/Klaviyo data. The personalisation approach differs but the underlying AI engine is the same.
We include a deliverability audit during setup — SPF, DKIM, DMARC configuration, domain warming if needed, and send volume ramp-up strategy. AI-written emails also tend to perform better on spam filters because they don't rely on keyword-stuffed templates.
Yes — we can configure reply classification and automated responses for common reply types (interested, not now, wrong person). High-intent replies are escalated to a human immediately. You define the rules; the AI handles the volume.
For high-value accounts, we configure a human review step before send. The AI drafts, a team member approves in one click. For volume outbound, we use confidence thresholds — emails below a quality score route to review rather than sending automatically.
Let's Build Your
AI Automation Engine
Book a free 45-minute strategy call. We'll map your top automation opportunities, estimate ROI, and show you exactly how we'd build it.
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