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HR & recruitment
Legal Recruitment
AI-powered LinkedIn outbound engine
How we helped Ackuity.ai replace manual LinkedIn outreach with an AI engine that identifies prospects, researches them automatically, and delivers personalized outreach that books qualified meetings.
Our Client
How we helped Ackuity.ai replace manual LinkedIn outreach with an AI engine that identifies prospects, researches them automatically, and delivers personalized outreach that books qualified meetings.
Ackuity.ai is looking to generate qualified conversations through LinkedIn outreach.
Quantal AI proposes building an AI-assisted outbound engine that combines prospect intelligence, personalized messaging, and automated execution while maintaining a human-like outreach experience.
Rather than relying on generic sequences, the system will research every prospect, generate personalized messaging using Claude, automate outreach through LinkedIn, and continuously optimize campaigns based on responses.
The objective is to deliver a repeatable outbound process that can later scale to thousands of prospects per month.
Industry
Ai
Services Provided
AI workflow automation, LinkedIn outbound engine
Tech Stack
Claude AI, n8n, PhantomBuster, Apollo, Google Sheets, Airtable
3rd Party Services
LinkedIn, Apollo
Outcome
Scales to 1000s of prospects/month
What We Set Out to Do
Objectives
01
Identify ICP companies and decision makers
02
Generate highly personalized outreach
03
Increase LinkedIn acceptance rates
04
Improve reply rates
05
Book qualified meetings for Ackuity.ai
System Design
Proposed Architecture
1
Apollo
2
Lead Database
3
PhantomBuster
(LinkedIn enrichment)4
Claude AI
- Prospect research
- Company research
- Pain points
- Personalized messages
5
Campaign Engine
(Connection Requests Follow-ups Message Sequences)
The challenge
Generic sequences not delivering results
Ackuity.ai was relying on generic LinkedIn sequences that did not personalize outreach to individual prospects resulting in low acceptance rates, poor reply rates and insufficient qualified meetings being booked.
The solution
AI-assisted outbound engine at scale
Rather than relying on generic sequences, the system researches every prospect, generates personalized messaging using Claude, automates outreach through LinkedIn, and continuously optimizes campaigns based on responses.
Step by Step
Our Workflow
Built ICP filters, exported decision makers, verified company information, and removed duplicates. Delivered a curated prospect database with segmentation and industry categorization.
Claude automatically analyses every prospect's company website, recent news, job openings, LinkedIn profile, industry, possible challenges and AI opportunities.
Highlighted Points
Output: Each prospect receives a research summary.
Prospect: VP Engineering
Company: Series B SaaS company
Pain Points: Scaling engineering Customer support automation AI roadmap
Suggested hook: Mention recent funding announcements and hiring plans.
Claude generates a connection request, first message, and 3 follow-ups for every prospect. Each message references the prospect's company, industry, role, current initiatives and relevant AI use cases. No template-style messaging.
Automation includes visit profiles, send connection requests and personalized messages, track responses, and export replies. Automation will remain within safe daily limits to maintain a human-like outreach experience.
Before every campaign launch Quantal reviews message quality, personalisation accuracy, campaign settings and targeting. This reduces AI hallucinations and improves overall messaging quality.
Deliverables
What We Delivered
ICP Definition
Target industries, Personas, Filters
AI Research Pipeline
Automatically researches prospects.
Personalized Outreach Generator
Connection requests, First messages, Follow-ups
LinkedIn Automation
Automated campaign execution.
Analytics Dashboard
Campaign metrics and reporting.
Documentation
Complete documentation for Running campaigns, Updating ICP, Adding new messaging
Under the Hood
Our Technology Stack
01
Lead Database
Apollo
02
AI Research
Claude
03
LinkedIn Automation
PhantomBuster
04
Workflow Automation
n8n
05
Data Storage
Google Sheets / Airtable
What's Needed
Client Responsibilities
Ackuity.ai will provide
LinkedIn account(s) for outreach (Business Premium / Sales Navigator access is preferred)
Apollo subscription (or access)
Claude API key or subscription (if preferred)
PhantomBuster subscription
ICP validation
Branding and messaging guidelines
What's Next
Our Future Enhancements
Once the pilot is successful, the platform can be extended with
Multi-account LinkedIn scaling
Email outbound alongside LinkedIn
Automated reply classification using AI
Meeting scheduling automation
CRM integration (HubSpot/Salesforce)
A/B testing of messaging
Intent-based lead prioritization
Continuous optimization based on campaign performance
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Let’s Build Something That Creates Real Impact
Have an AI idea or business challenge? Let’s discuss how we can turn it into a practical, production-ready solution.
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Call us
+1 315 809 3225 -
Email us
contact@quantaltech.ai