Operations Efficiency Diagnostic

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- Foundation Layer
  - AI-Ready Hardware Refresh (Data Center & Endpoints)
  - Upgrade servers, networking, and employee devices to support AI workloads and future automation.
  - AI-Ready Software Stack
  - Enhance existing tools (email, security, collaboration, CRM) with AI-enabled upgrades and add-ons.
  - AI Phone Agent
  - Answers calls 24/7, qualifies leads, routes intelligently, books appointments, and captures analytics.
  - AI Web Chat & Voice Agents
  - Provides conversational AI on your website and internal systems for support, sales, and operations.
- Execution Layer
  - AI Compliance (Shadow AI Control)
  - Identifies how employees are using AI tools and ensures data protection, auditability, and governance.
  - Prompt Library
  - Standardized, approved AI instructions for departments to drive consistent productivity and measurable ROI.
  - Vector Database (AI Knowledge Base)
  - Gives AI access to company-specific documents, policies, and institutional knowledge.
  - AI Identity + Access + Policy Control
  - Manages who can use which AI tools, with role-based controls and data protection policies.
- Control Layer
  - Data Foundation (Warehouse/Lakehouse + Governance)
  - Organizes, cleans, and governs company data so AI can generate accurate and reliable insights.
  - Integration & Automation Layer (iPaaS / Orchestration)
  - Connects AI agents to CRM, ERP, ticketing, and other systems so AI can execute real workflows.
  - Agent Orchestration Control Plane
  - Manages multi-step AI agents, tool permissions, task boundaries, and safe execution.
- Optimization Layer
  - Model Strategy + LLMOps
  - Oversees model selection, performance monitoring, cost control, and version management.
  - AI Security Layer (Prompt & Agent Security)
  - Protects against prompt injection, data leakage, and unauthorized tool usage.
  - AI Observability + ROI Analytics
  - Tracks adoption, performance, cost savings, and business impact of AI initiatives.
  - AI Operating Model + Change Management
  - Defines ownership, training, governance cadence, and long-term AI strategy.
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Home
TechStack
Implementation Services
About Us
Data Analyst
Blog
Contact

Book Meeting

Identify and quantify operational inefficiencies

What industry are you in?

Healthcare (Dental, Medical, Med Spa) Legal Services Real Estate / Property Management Professional Services (Consulting, Accounting) Home Services (HVAC, Roofing, Pest Control) E-commerce / Online Retail SaaS / Technology Insurance / Financial Services Marketing / Creative Agency Other

What's your approximate annual revenue?

$300K - $1M $1M - $3M $3M - $5M $5M - $10M $10M - $15M

Average time to respond to new leads?

Under 5 minutes 5-30 minutes 30-60 minutes 1-4 hours Over 4 hours / Next day

Hours per week spent on reporting and data analysis?

Pulling data from multiple sources, creating reports, analyzing metrics

Under 2 hours 2-5 hours 5-10 hours 10-20 hours Over 20 hours

Average time to onboard a new client/project?

Under 1 hour 1-3 hours 3-5 hours 5-8 hours Over 8 hours

Hours per week creating proposals/quotes?

Under 1 hour 1-2 hours 2-4 hours 4-8 hours Over 8 hours

How do you handle lead follow-up?

Fully automated system Mostly manual with some automation Completely manual Inconsistent / Often falls through cracks

How many people are on your team?

1-5 people 6-15 people 16-30 people 31-50 people Over 50 people

We build intelligent voice and chat solutions, and integrate generative AI into products for better user experiences.

info@tlic.com

31 Grande Isle Drive, #535, Wakefield RI 02879

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Foundation Layer

AI-Ready Hardware Refresh (Data Center & Endpoints)
Upgrade servers, networking, and employee devices to support AI workloads and future automation.
AI-Ready Software Stack
Enhance existing tools (email, security, collaboration, CRM) with AI-enabled upgrades and add-ons.
AI Phone Agent
Answers calls 24/7, qualifies leads, routes intelligently, books appointments, and captures analytics.
AI Web Chat & Voice Agents
Provides conversational AI on your website and internal systems for support, sales, and operations.

Execution Layer

AI Compliance (Shadow AI Control)
Identifies how employees are using AI tools and ensures data protection, auditability, and governance.
Prompt Library
Standardized, approved AI instructions for departments to drive consistent productivity and measurable ROI.
Vector Database (AI Knowledge Base)
Gives AI access to company-specific documents, policies, and institutional knowledge.
AI Identity + Access + Policy Control
Manages who can use which AI tools, with role-based controls and data protection policies.

Control Layer

Data Foundation (Warehouse/Lakehouse + Governance)
Organizes, cleans, and governs company data so AI can generate accurate and reliable insights.
Integration & Automation Layer (iPaaS / Orchestration)
Connects AI agents to CRM, ERP, ticketing, and other systems so AI can execute real workflows.
Agent Orchestration Control Plane
Manages multi-step AI agents, tool permissions, task boundaries, and safe execution.

Optimization Layer

Model Strategy + LLMOps
Oversees model selection, performance monitoring, cost control, and version management.
AI Security Layer (Prompt & Agent Security)
Protects against prompt injection, data leakage, and unauthorized tool usage.
AI Observability + ROI Analytics
Tracks adoption, performance, cost savings, and business impact of AI initiatives.
AI Operating Model + Change Management
Defines ownership, training, governance cadence, and long-term AI strategy.