New leads wait too long before follow-up.
Find the lead workflow worth fixing before building the AI system.
The audit is for service businesses with real lead flow and unclear handoffs. HoZyne reviews where leads slow down, identifies the first automation opportunity, and turns it into a scoped implementation path.
Replies, DMs, forms, CRM updates, and calendar handoffs do not stay in sync.
The team wants AI help, but the first build is not obvious enough to scope safely.
What the audit produces
A decision-ready recommendation, not a vague AI wishlist.
The output should make the next decision easier: build the AI Lead Conversion System, narrow the first sprint, or fix a process issue before implementation.
Deliverable 1
Lead handoff bottleneck map
Deliverable 2
First workflow recommendation
Deliverable 3
Implementation path with data, tooling, and risk notes
Start with an AI Automation Audit before building the wrong system.
HoZyne reviews your current lead workflow, identifies where revenue is leaking, and turns the best automation opportunity into a scoped implementation plan.
Lead capture, follow-up, routing, and booking bottleneck map
One recommended AI workflow to implement first
Fixed-scope implementation path with risks, data needs, and next steps
What happens after you submit
- HoZyne reviews the lead sources, handoff steps, current tools, bottlenecks, and goals.
- We identify the first workflow that is practical enough to scope.
- You receive the recommended path: AI Lead Conversion System, narrower sprint, or process cleanup first.
Built for practical automation, not vague AI transformation
Every system starts with a revenue workflow, a human verification point, and reusable documentation.
AI-first, human-verified
Agents accelerate research and drafting while humans approve client-facing work.
Revenue workflow focus
Initial systems target lead response, qualification, routing, and booking.
Reusable infrastructure
Every engagement produces documented workflows, prompts, and operating runbooks.
What buyers can verify
Proof is built around artifacts, not inflated promises
Until HoZyne has enough public client data to publish hard performance claims, the credible proof is the operating system: workflow maps, runbooks, QA checkpoints, and handoff clarity.
First workflow target
Lead response
We start where missed revenue is easiest to inspect: capture, qualification, follow-up, routing, and booking handoff.
Delivery artifact
Runbook included
The handoff includes operating notes, QA checks, and the human approval points needed to keep the system usable.
Recommended entry point
Audit first
Cold buyers can start with a focused audit before committing to implementation, which reduces scope and trust friction.
Expansion path
System by system
After lead conversion is stable, expansion can move into retention, reporting, content, or SaaS-style modules.
Feedback from early pilot clients
"The async workflow made the process clear. We always knew the next step and had useful implementation notes after handoff."
"The strongest part was the structure: clear scope, practical automation recommendations, and no vague AI promises."
Pilot: AI Lead Conversion System
Mapped lead capture, qualification, follow-up, and booking handoff into a repeatable operating flow.
Result: team moved from scattered follow-up to a documented pipeline process with clearer ownership.
Pilot: Reply-to-Booking Automation
Redesigned qualification and routing rules to tighten response handling and reduce internal bottlenecks.
Result: cleaner handoffs into sales ops and fewer qualified replies lost between inbox and pipeline.
Scope + revisions
Each fixed package includes 2 in-scope revision rounds. New requirements are scoped separately before implementation.
Delivery model
Packages are delivered with async checkpoints, human verification, handoff notes, and implementation documentation.
Checkout resiliency
High-ticket implementation starts with an audit or intake first; checkout links remain available when scope is clear.
