I want to weave practical AI into my consulting practice so leads arrive warmed-up, follow-ups happen on time, and HubSpot never sits half-empty again. My tech base today is HubSpot CRM, LinkedIn and Outlook, and I’d like to keep both at the core while layering in an AI stack—likely centred on ChatGPT— that can: • Source and score new prospects • Draft and personalise outreach sequences • Trigger follow-up emails automatically • Push every interaction back into HubSpot with the right tags and notes Your first milestone will be a short discovery session to review my current workflows. From there I’ll need a clear architecture diagram, recommended tools or APIs, and a step-by-step roll-out plan. Once we agree on the design you’ll configure and connect the pieces—whether that’s OpenAI, Zapier, Make, custom Python functions, or another route you prefer—then test live with a small contact sample. Final hand-off includes documented workflows, prompt libraries or model configs, and a quick-start guide so I can maintain the system myself. Acceptance criteria 1. New leads are captured from at least one external data source and inserted into HubSpot with enrichment fields filled. 2. Personalised outreach and follow-up emails are generated, queued, and sent via Outlook without human intervention. 3. All email activity is logged back to the correct HubSpot record. 4. I receive a concise playbook covering infrastructure, prompts, and maintenance steps. If you have a proven record connecting ChatGPT (or similar NLP models) to CRMs and email clients, let’s talk.