Boutique AI consulting for established small businesses

Put AI to Work in Your Business.

Put AI to Work in Your Business.

We build it with you. Then you run with it.

We build it with you. Then you run with it.

Madhuvan helps established small businesses identify practical opportunities for AI, build working solutions around real business processes, and give their people the skills to keep them going.

Practical AI. Real business problems. No long-term dependency.

The difference

USING AI

ChatGPT · Claude · Individual prompts · Experiments

PUTTING AI TO WORK

Repeatable processes · Real business data · Automation · Team capability

Your team is probably already experimenting with AI.

Maybe employees are using ChatGPT or Claude. Maybe you’ve tried a few AI tools. Maybe someone built an interesting prototype. But there’s a big difference between using AI and putting AI to work inside your business. Madhuvan helps bridge that gap. We work directly with your team to understand how work gets done, identify where AI can make a meaningful difference, and build practical solutions around your actual business.

Less theory. More useful stuff.

What We Do

From AI curiosity to working capability.

01

Assess the Opportunities

Understand how your business operates and identify processes where AI could save time, improve quality, uncover information, or eliminate repetitive work.

02

Build Something Real

Turn the best opportunities into working prompts, projects, reports, automations, and AI-enabled workflows using actual business information and use cases.

03

Build Your Team’s Capability

Work alongside employees, refine the solutions together, and teach the people who will ultimately own them.

What We Build

What could AI actually do for your business?

That’s usually the most interesting question.

AI Assistants

Give employees an assistant grounded in company knowledge and processes.

EXAMPLE

Answer employee questions using company policies, procedures, and internal knowledge.

Research & Analysis

Turn hours of research and synthesis into repeatable AI workflows.

EXAMPLE

Research competitors, markets, or prospects and turn findings into a structured briefing.

Reporting & Insights

Bring information together into useful recurring reports and analysis.

EXAMPLE

Turn sales and account information into a weekly management report highlighting trends and issues.

Workflow Automation

Automate repetitive work involving people, documents, information, and systems.

EXAMPLE

Turn meeting notes into action items, follow-ups, and updated records without re-entering information.

Knowledge Tools

Make organizational knowledge easier to find, understand, and use.

EXAMPLE

Make years of company documents searchable through natural-language questions instead of hunting through folders.

AI-Powered Processes

Redesign existing manual processes around tools such as ChatGPT and Claude.

EXAMPLE

Use existing company information to generate the first draft of a proposal or recurring business deliverable.

The Madhuvan Process

Build capability, not dependency.

Build capability, not dependency.

ASSESS → BUILD → TEACH → HANDOFF

ASSESS → BUILD → TEACH → HANDOFF

01 ASSESS

Understand your business, how work gets done today, and where AI can create meaningful value. Prioritize the opportunities worth pursuing.

02 BUILD

Create practical AI solutions using your actual processes, information, and use cases. Test and refine them until they’re useful.

03 TEACH

Work alongside your employees so they understand how to use the solutions, maintain them, and continue improving them.

04 HANDOFF

Leave the tools, documentation, knowledge, and capability with your organization.

Success isn’t keeping Madhuvan around forever. It’s getting your team to the point where you don’t need us.

30-Day Engagement

Start small. Build something useful.

You don’t need a company-wide AI strategy. Bring Madhuvan a business problem, a messy process, or simply the sense that your company should be getting more value from AI. We’ll start there.

ASSESS → PRIORITIZE → BUILD → TEST & REFINE → TRAIN → HANDOFF

WEEK 1

Assess + Prioritize

WEEK 2

Build

WEEK 3

Test + Refine

WEEK 4

Train + Handoff

Talk About a 30-Day Engagement →

Ideal Customer

Built for businesses big enough to benefit. Small enough to move.

10–100 EMPLOYEES

10–100 EMPLOYEES

Madhuvan primarily works with established small businesses. These organizations often have sophisticated business problems, experienced employees, and enough scale for automation to make a meaningful difference without the bureaucracy that can turn a promising AI experiment into a twelve-month transformation program.

You don’t need an AI department. You need a few worthwhile problems, people willing to experiment, and someone who can help you get started.

About Madhuvan

Enterprise experience. Small-business approach.

25+ YEARS

Business & Technology Consulting

FORTUNE 500 + GOVERNMENT

Enterprise Experience

FORMER SALESFORCE VP

Public Sector Professional Services

Madhuvan was founded by Marty Young after more than 25 years helping Fortune 500 companies and major government organizations solve complex business and technology challenges. After building and leading consulting teams and businesses focused largely on Salesforce and CRM solutions, Marty joined Salesforce as a Vice President in its Public Sector professional services organization. Today, he brings that enterprise experience to established small businesses with a very different consulting model: work directly with the client, build practical solutions, teach their people, and hand over the capability.

Senior experience. Direct involvement. Practical solutions.

Let’s Talk

Have a process that AI might make better?

Have a process that AI might make better?

Let’s figure it out together.

You don’t need a detailed requirements document, an AI roadmap, or even a perfectly defined problem. Bring a process, a challenge, or an idea. We’ll start there.