What is an intranet and what are the benefits of using it for companies?

An intranet is a private network that is used by companies to share information and resources among its employees. It is in fact an internal website that is accessible only to authorized personnel within the organization. Improve communication, knowledge sharing, productivity, and employee engagement, while also reducing costs and promoting a positive organizational culture.

What is an extranet and what are some of the modules, components, or functionalities that can be included in it for businesses?

Extranet is a private network that shares information of a business with your customers, partners, suppliers or vendors in the most secured way. Various extranet modules, components or functionalities that can be included to meet specific organization's business needs and goals.

AI Readiness Assessment

Find Out Where AI Actually Helps Before Wasting $500K

Everyone's pitching AI. Nobody's proving it works for YOUR business.

Vendors promise transformation but get vague on costs, timelines, and results.

85% of AI projects fail—not because AI doesn't work, but because companies implement it wrong: wrong places, bad data, problems that don't need AI.

We assess where AI creates real value in your operations and where it wastes money. Our job is truth, not sales.

Companies assessing readiness first see 3x higher success rates and 60% lower costs.

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Why Most AI Projects Burn Money

Buying AI without a real need
Companies follow trends, not problems. The result is expensive tools that deliver little value.

Data not ready
AI only works with clean, reliable data. Messy systems lead to bad predictions and poor results.

No clear success goal
Without defined metrics, no one knows if AI is helping or wasting money.

The real cost
Large budgets lost, frustrated teams, and missed opportunities while competitors move ahead.

Do not buy AI because it sounds good.
Start with the problem, clean the data, define success, then act.

Smarter planning leads to real results.

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How We Assess Your AI Readiness

Weeks 1 to 2 — Find real value
Pinpoint the processes actually costing money and where AI can realistically reduce time, errors, or workload.

Weeks 3 to 4 — Test your data
Check if your data is clean, connected, and usable. Identify gaps that would break any AI effort.

Weeks 5 to 6 — Decide what’s worth doing
Prioritize high-impact, low-complexity wins. Drop ideas that look exciting but add little value. Build a practical rollout plan.

Execution
Launch a small pilot to prove results, then expand what clearly saves time or money.

AI works when it solves real problems, not when it follows trends.
Find the bottlenecks. Fix what matters. Scale what proves value.

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What You Get

AI Readiness Package

Executive Summary

Readiness score & top opportunities
ROI projections & implementation roadmap

Data & Technology Strategy

Current maturity & critical gaps
Build vs. buy recommendations
Vendor selection & cost modeling

18-Month Implementation Plan

Phased rollout with resources & metrics

Typical Results

5-10 use cases, 2-4 priority initiatives
40-60% cost reduction, 12-18 month payback

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Where AI Actually Creates Value

Where AI Actually Creates Value

Customer Service Automation

Chatbots handle 60-80% of routine inquiries 24/7
Sentiment analysis flags unhappy customers early
Automated email routing and responses

Process Automation

Document processing (invoices, forms, receipts) - eliminates data entry
Intelligent workflow routing

Predictive Analytics

Demand forecasting for inventory optimization
Sales forecasting and pipeline health

Personalization

Product recommendations (20-30% order value increase)
Dynamic pricing optimization

Decision Support

Lead scoring and prioritization
Fraud detection and credit risk assessment
Resource allocation optimization

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Investment & ROI

Example of AI Readiness Assessment

6 weeks
Complete readiness package
Investment: $45,000

Express Assessment

3 weeks
Executive summary + prioritized opportunities
Investment: $25,000

What happens next: If you implement AI with us, assessment cost is credited toward implementation.

Typical implementation costs:

Pilot project: $50,000-$150,000
Multi-use case: $200,000-$800,000

Expected ROI:

Pilots: 2-3x ROI within 6-12 months
Full implementations: 3-5x ROI within 18-24 months

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Know Where AI Helps Before You Spend

The difference between AI success and AI waste? Assessment before implementation.

Companies rushing into AI without assessing readiness waste millions. Companies that assess first invest in AI that delivers measurable results.

We'll tell you honestly whether AI makes sense for you, where it creates value, and what it realistically takes to succeed.

Stop wondering about AI. Start knowing.

Frequently Asked Questions

What if the assessment shows we're not ready for AI?

Then we tell you that honestly. About 40% of assessments conclude "not ready yet." Usually because data quality is too poor or no clear use cases with sufficient ROI. We'll tell you exactly what needs to happen before AI makes sense and how long that would take. Better to know now than waste $500K implementing AI that fails.

How much does AI implementation typically cost after the assessment?

Depends on what we recommend. A single AI pilot project (like a chatbot or document automation) typically runs $50K-$150K. Multi-use case implementations range $200K-$800K. Enterprise-wide AI programs can be $1M+. The assessment gives you exact costs for your specific recommendations—no surprises.

Can we implement AI ourselves or do we need you?

Depends on your internal capabilities. If you have data scientists and ML engineers, you might implement some use cases yourself using our roadmap. Most clients don't have that expertise and partner with us for implementation. Either way, the assessment gives you a clear plan. If you implement yourself and hit roadblocks, we can help then.

How long before we see ROI from AI?

Pilot projects typically show positive ROI within 6-12 months. For example, an AI chatbot handling 70% of routine inquiries pays for itself in under a year through reduced support costs. More complex AI initiatives (predictive maintenance, advanced analytics) take 12-18 months to full ROI but deliver much larger returns.

What if our competitors are already using AI and we're behind?

The assessment will show exactly where you stand versus competitors. Often "competitors using AI" means they have a basic chatbot—nothing game-changing. We'll identify where AI creates real competitive advantage for you and prioritize those use cases. It's better to implement AI right six months from now than implement it wrong today just to say you have it.