You will get a lead intake system that scores, replies, and routes
Project details
A lead fills out your form at 7pm on a Friday, and on most setups it just sits there until Monday — by which point they've already talked to whoever answered first. This closes that gap. Every inbound lead gets scored on fit the moment it lands, so you can see at a glance who's worth calling now versus later, gets answered right away while they're still paying attention, and gets synced straight into whatever CRM you already run — HubSpot, Salesforce, Pipedrive, Go High Level — with no hand-keying.
The hot ones don't wait in a queue: they ping Slack the second they come in, with the context already attached, so someone can pick up the thread instead of digging for it.
The tiers run from a scored, auto-answered inbox up to a full pipeline with lead enrichment, custom scoring rules, and a reply queue that keeps everything in one place. This is the same intake system running my own pipeline, so the response a lead gets is one I've already tuned on real traffic. Tell me where your leads come in today and I'll wire it to fit.
The hot ones don't wait in a queue: they ping Slack the second they come in, with the context already attached, so someone can pick up the thread instead of digging for it.
The tiers run from a scored, auto-answered inbox up to a full pipeline with lead enrichment, custom scoring rules, and a reply queue that keeps everything in one place. This is the same intake system running my own pipeline, so the response a lead gets is one I've already tuned on real traffic. Tell me where your leads come in today and I'll wire it to fit.
AI Development Type
Recommendation SystemAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$1,200
|
Standard
$2,400
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 4 days | 6 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
About Lawrence
Independent Engineering Studio | Websites, Software, Agent Systems
Scarsdale, United States - 2:33 am local time
I'm a Salesforce Certified Administrator and Data Cloud Consultant, and I run a live SaaS product at oncallchat.ai: a multi-channel agent platform with real Stripe billing, voice, and six integrated channels. The unglamorous parts are already solved there — authentication, webhooks, deliverability, multi-tenant data, and escalation logic — I bring working patterns to your project instead of figuring them out on your budget.
What I can show:
Custom websites for service businesses — law firms, dental practices, restaurants, fitness studios, B2B SaaS, and e-commerce
Lead intake automation — forms scored, routed, and synced to any CRM
Multi-channel agent systems across web, SMS, WhatsApp, voice, and iMessage
Stripe subscription billing with customer portal, dunning, and tiered entitlements
Cold email infrastructure that protects your domain instead of burning it
If your website isn't earning its place, a workflow needs rebuilding from the ground up, or you have a front-end waiting on the wiring behind it — tell me what you're trying to ship and I'll tell you how I'd build it.
Steps for completing your project
After purchasing the project, send requirements so Lawrence can start the project.
Delivery time starts when Lawrence receives requirements from you.
Lawrence works on your project following the steps below.
Revisions may occur after the delivery date.
Build the intake pipeline
I build the form, the scoring, the replies, and the CRM sync, then test it with sample leads end to end.