Selected Work

Systems built across AI, CRM and operations.

A look at the type of work Rashid has built for clinics, agencies, AI products and service businesses — from CRM structure to AI agents, lead systems and internal automation.

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AI agents CRM systems Operations workflows Lead systems

Work shown through practical builds, not broad claims. Portfolio

CRM and lead structurePipeline stages, contact fields, routing, booking steps and reporting views.

AI and automationVoice agents, AI workflows, email parsing, webhooks and system triggers.

Agency and client systemsRepeatable GoHighLevel builds, sub-account structures and delivery workflows.

Case Studies

Selected builds with clear system outcomes.

Each project focuses on the same thing: making the business process easier to manage, easier to track and less dependent on manual admin.

Healthcare CRM

Telemedicine Clinic

GoHighLevelLead IntakePatient Journey

Problem

Leads from ads, website forms and organic traffic needed a clearer intake and follow-up structure.

System Built

Structured intake, treatment-interest tagging, patient journey stages, booking-click follow-up and old lead reactivation.

Result€40K–€60K/month clinic operations supported

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AI Receptionist

Reply Angel

AI AgentsWebhooksGHL

Problem

AI conversations needed to become structured CRM records and booking actions.

System Built

Voice-agent data capture, intent detection, webhook delivery, contact updates, booking status, reminders and nurture flow.

ResultAI conversation to CRM update and appointment flow

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Agency System

Automato Marketing

GHLSub-AccountsAgency Delivery

Problem

An agency needed a cleaner way to manage client sub-accounts, funnels, pipelines and workflows.

System Built

Repeatable account structure, funnels, pipelines, tags, workflows, lead capture, follow-up paths and client tracking.

Result37 client sub-accounts built into a repeatable structure

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AI Operations

Focus Insite

AI WorkflowMicrosoft 365CRM

Problem

Project emails needed to be understood, structured and moved into the next operational step.

System Built

AI email processing, structured project data, CRM updates and quote PDF preparation connected through automation.

ResultFaster enquiry-to-quote movement with less manual sorting

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White-Label CRM

Inbound Revenue

HubSpotGoHighLevelClient Systems

Problem

A multi-client CRM structure needed to support repeatable client deployments and cleaner reporting.

System Built

CRM migration structure, fields, tags, workflows, segmentation, reporting and repeatable client account setup.

ResultLarge-scale GHL structure across client accounts

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Work Areas

The work usually sits across four practical areas.

The tools change from project to project, but the goal stays the same: build a system that matches how the business actually runs.

AI systems

Voice agents, chatbots, AI workflows, call summaries, classification, routing and backend automation.

CRM systems

GoHighLevel and HubSpot setups with cleaner pipelines, fields, records, stages, automation and reporting.

Operations workflows

Internal systems that move data, trigger tasks, reduce admin and give teams clearer next actions.

Need a system built around your business?

Share the workflow, CRM or automation problem you want to solve, and Rashid can help map the structure clearly.

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