AI Setter Systems Package

Starter · AI Agent Lite

Test AI intake or support assistants with fully managed OpenAI + CRM wiring.

Tier

Starter

Investment

$2,000 – $3,000

Service lane

AI Setter Systems

What's included

Deliverables inside AI Agent Lite

For teams trying their first AI integration.

  • A single-function AI assistant.
  • Lead capture and routing path.
  • Prompt script and response structure.
  • CRM integration and reporting basics.
  • Weekly usage summary.
  • Setup notes for future expansion.
  • Human handoff logic for edge cases.
  • Conversation review checklist.

Overview

Why this package exists

AI Agent Lite is the simplest way to start using AI inside a real business workflow without turning the project into a science experiment. The package is built around one practical use case: answering common questions, capturing inbound interest, or helping with lead handling through the site or WhatsApp. The goal is not to install a novelty assistant; it is to create a small, useful AI layer that saves time, captures better information, and moves the lead into the CRM more cleanly. This works best for teams that are trying their first AI implementation and want something usable, trackable, and aligned to the revenue process rather than a loose demo.

Fit Check

Who this is for and what it fixes

Who this is for

  • Teams trying their first AI integration and needing a controlled scope.
  • Businesses that want one AI assistant for chat or WhatsApp.
  • Operators who need common questions handled faster and more consistently.
  • Founders who want a lead assistant tied to the CRM.
  • Companies that need prompt scripting and usage to stay simple and reliable.

Revenue leaks this fixes

  • The team repeats the same answers manually all day.
  • Inbound interest is not captured consistently when staff are busy.
  • The business has no AI layer for first-response support.
  • Lead data is not entering the CRM in a useful format.
  • There is no lightweight use case to prove AI value before scaling.

System Scope

What’s included in the build

Included in this package

  • One AI assistant for site or WhatsApp.
  • Inbound lead qualification and capture path.
  • Basic prompt scripting and response logic.
  • CRM integration for the captured leads.
  • Weekly analytics on usage and outcomes.
  • Usage guidance for the team.
  • Escalation rules for human handoff requests.
  • Conversation logging for QA and refinement.

Delivery Flow

How the system works

Step 1

Choose the first use case

We identify the one AI task that will be most useful and least risky to ship first.

Step 2

Build the assistant

We configure the chatbot or WhatsApp assistant with the right prompts and capture path.

Step 3

Connect the CRM

We make sure the assistant routes leads into the CRM with useful context.

Step 4

Measure and refine

We review usage and adjust the assistant based on the real response patterns.

Quick Answers

Quick answers about this system

What is AI Agent Lite?

AI Agent Lite is a Technovier package that connects AI conversation design, lead qualification, CRM sync, and reporting into one revenue workflow. It is built for teams that need AI agents connected to lead capture, booking, support, CRM updates, and human handoff. The purpose is to make the path from interest to action easier to manage, measure, and improve without relying on disconnected manual work.

Who should use AI Agent Lite?

AI Agent Lite is best for teams that already have an offer, audience, or channel in motion but need stronger clearer AI-assisted lead handling and safer human handoff. It fits buyers who want practical implementation, CRM visibility, and follow-up logic rather than a vague campaign or isolated website update.

What problems does AI Agent Lite fix?

AI Agent Lite fixes workflow gaps where AI is being treated as a standalone widget instead of a workflow connected to revenue operations. It also addresses missed follow-up, unclear ownership, weak attribution, and reporting that does not show what should be improved. The work turns scattered activity into a clearer operating system.

What does Technovier build inside AI Agent Lite?

Technovier builds the core system pieces around AI conversation design, CRM sync, booking workflows, CRM routing, and reporting dashboards. Depending on the package, this can include forms, landing pages, checkout events, AI agents, booking workflows, lifecycle automation, and team handoff rules.

How is AI Agent Lite measured?

AI Agent Lite is measured through qualified conversations, booking support, handoff quality, response speed, and CRM completeness. The goal is to understand whether the system is creating better revenue visibility, faster follow-up, cleaner routing, and stronger conversion paths. It avoids judging performance only by clicks, impressions, or raw lead volume.

What should be ready before AI Agent Lite starts?

Before AI Agent Lite starts, the team should prepare approved knowledge sources, qualification rules, channel access, CRM access, escalation paths, and consent requirements. This helps implementation move faster because Technovier can connect the right tools, map the right workflow, and test the right handoff points before launch.

Deliverables

Assets and outputs you receive

Deliverables

  • A single-function AI assistant.
  • Lead capture and routing path.
  • Prompt script and response structure.
  • CRM integration and reporting basics.
  • Weekly usage summary.
  • Setup notes for future expansion.
  • Human handoff logic for edge cases.
  • Conversation review checklist.

Outcomes

Expected outcomes

Faster first response

The business can reply to common questions without waiting on a human every time.

Better lead capture

The assistant can collect useful context and move it into the CRM.

Less repetitive work

The team spends less time answering the same basic questions repeatedly.

Clearer AI proof

The business gets a simple AI use case that can be expanded later if it works.

Cleaner experiment path

The team can learn from one controlled AI deployment before adding more complexity.

Proof

Related case studies

AI-Powered CRM Automation for Sports Industry

CRM & Automation

AI-Powered CRM Automation for Sports Industry

Implemented AI-driven CRM automation to enhance fan engagement, improve customer service, and boost ticket sales for a leading sports team.

50% Increase in Fan Engagement30% Boost in Ticket Sales
CRM Automation & Relationship Management for Solar Companies

CRM & Automation

CRM Automation & Relationship Management for Solar Companies

Boosted client retention and follow-up efficiency for a solar company with CRM automation and nurture sequences.

32% Increase in Follow-Up Response Rate$120K+ Upsell Revenue Captured
Edworld Study Abroad Educational Consultants

CRM & Automation

Edworld Study Abroad Educational Consultants

Edworld is a leading educational consultancy assisting students in securing admissions to top universities in the UK and Europe. With high competition in the study abroad sector, they needed a data-driven digital marketing strategy, lead generation campaigns, and CRM automation to streamline operations and improve lead-to-enrollment conversion rates.

1.08k Leads in 3 months$0.05 Cost Per Click (CPC) (Rs17.6)

FAQ

Questions buyers usually ask

Is this a full AI system?+

No. It is a starter package built around one useful AI use case so the team can test value without overcomplicating the rollout.

Can it work on WhatsApp?+

Yes. Site or WhatsApp are the most common starter surfaces for this package.

Do you connect it to the CRM?+

Yes. CRM integration is included so the assistant can pass useful lead data into the pipeline.

What if we want more than one AI workflow later?+

This package is designed to create a solid starting point that can be expanded later.

Is prompt scripting part of the package?+

Yes. Prompt scripting and response logic are part of the starter build.

Can the assistant hand off to a person?+

Yes. We define escalation logic for requests that need human review or manual follow-up.

Does it log conversations for QA?+

Yes. Conversation logging is used so the team can review quality and improve prompts.

Next step

Keep the package moving toward a live revenue system