AI Strategy, System Architecture & Implementation

Implementing AI is the easy part.

The hard part is knowing whether your people, processes, and data are ready for it. I help founders and leadership teams design AI strategies grounded in how their business actually operates — not how it looks on a slide deck.

Let's Talk Take the AI Assessment

Rohit Kumar Maskara

AI Strategist and Systems Architect

Operations AI Strategy Risk & Governance Customer Experience Product Management Program Management Scaled Operations AI Deployment

A decade at Meta. Fortune 500 governance at KPMG. Started on a manufacturing shop floor. B.Tech in Industrial Engineering. MBA in Operations Strategy & Finance. I've seen how organizations work — from the inside.

Start here · 10 minutes

AI Transformation Index

The most comprehensive free diagnostic on the site. Discover your AI readiness score, your leadership archetype, and the 3 use cases most likely to create immediate value.

Take the Investment →

Risk

Implementation Risk

Map your project against the 4 failure modes before you commit resources.

Get the Playbook →

Cost

Cost-to-Deploy

A realistic estimate including the parts nobody tells you about.

Calculate Real Costs →

See all 8 diagnostics →

General Productivity

Claude

Best reasoning model for business use cases right now.

Start here for writing, analysis, and decision support. More reliable than ChatGPT for nuanced business contexts — fewer confident wrong answers.

Operations & Automation

Make

Most flexible automation platform for non-technical teams.

The right middle ground between no-code simplicity and developer power. What Zapier should be for teams that need more control without hiring engineers.

Sales & Marketing

Apollo

Best-value prospecting and outreach platform for SMBs.

Combines lead database, email sequencing, and analytics in one tool. Replaces three separate subscriptions at a fraction of the combined cost.

See All 21 Tools →

Every engagement starts with a 30-minute conversation. You tell me what you're building and where you're stuck. I tell you honestly whether I can help — and if so, which tier makes sense.

Assess

Find out where you stand.

2–4 weeks

AI readiness audit
Opportunity mapping
Risk assessment
Data & process review
Go/no-go recommendation

You walk away knowing exactly what's possible, what's risky, and where to start.

Build

Design and implement the right system.

8–16 weeks

AI strategy & use-case prioritization
Tool selection & vendor evaluation
Workflow architecture
Pilot build & iteration
Measurement framework

You have a working AI system in production, with proof it delivers value.

Enable

Get your team using it.

Flexible

Corporate AI workshops
Executive coaching sessions
Role-specific playbooks
Hands-on tool training
Adoption measurement

Your team is confident, capable, and using the tools you invested in.

Want to see exactly how an engagement runs — phase by phase, step by step?

See the Full Methodology →

Annual Revenue

Team Size

Primary Use Case

AI Maturity

—

Timeline

—

Investment

—

Expected ROI

—

Payback Period

These are rough directional estimates — not promises. Every business is different. The real numbers come from a proper assessment.

Discuss Your Numbers — Book a Call →

Foundation Assessment

Three things I check before recommending any AI tool.

Most businesses jump straight to tools. Which LLM? Which platform? Which vendor? But the technology is never the bottleneck. These three things are.

Data Organization

Is your data structured, documented, and accessible? Or scattered across spreadsheets, inboxes, and tribal knowledge?

Process Clarity

Are your standard operating procedures documented? Or does critical knowledge live in people's heads, vulnerable to turnover?

Team Readiness

Are your teams prepared to work alongside AI? Or will adoption stall because the change was imposed, not enabled?

Operations

Demand Forecasting Automation

Manual forecasting consuming 3 days of analyst time monthly, delivering 68% accuracy with frequent stockouts.

68%

Accuracy

94%

Accuracy

3 days

Per Cycle

85%

Time Saved

AI-powered forecasting with automated inventory optimization. $240K annual savings, stockouts reduced 62%.

Python LLMs Zapier REST API

Professional Services

Contract Review & Analysis

4 hours per contract review with 71% consistency. Deal velocity slowing as volume increased.

4 hrs

Per Review

24 min

Per Review

71%

Consistency

98%

Consistency

AI contract analysis with automated risk flagging. 40% faster deal closure, 20 hrs/week freed.

Claude API Doc Processing Web App

SaaS

Customer Support Triage & Response

8+ hour response times, 72% CSAT, agent burnout from repetitive tier-1 queries.

8+ hrs

Response Time

12 min

Response Time

72%

CSAT

91%

CSAT

AI triage and response drafting. 60% of tickets auto-resolved, agent focus shifted to complex cases.

NLP Pipeline Claude API Zendesk

How an engagement runs

Three engagements. Every one outputs something tangible.

Three engagements — Assess, Build, Enable — expanded into six detailed steps on the Methodology page. Each phase ends with a deliverable your team owns.

Full methodology →

Assess

2 – 4 weeks

AI readiness audit across data, process, and people. Opportunity map ranked by value and feasibility. Risk flags that could derail a deployment. Output: a go/no-go recommendation with specifics — not a hedged summary.

Build

8 – 16 weeks

Strategy and use-case prioritisation. Tool selection and vendor evaluation with no vendor bias. Workflow architecture and pilot build. Iteration until it works in production, not just in demo conditions. Output: a working AI system with a measurement framework.

Enable

Final 6 – 8 weeks

Role-specific training and adoption support. Team readiness mapped and addressed before handover. A 90-day post-launch review built into the engagement. Output: your team running the system independently — no dependency on Yugam to keep it going.

Framework

The 4 Failure Modes That Kill AI Projects

Why 70% of AI initiatives fail — and why the answer has almost nothing to do with the technology itself. A framework for diagnosing organizational readiness before you write a single line of code.

Read Framework →

Organisational Readiness

Why 95% of AI Projects Fail to Generate ROI

Three root causes show up in every major study this year — Deloitte, BCG, HBR, and the World Economic Forum. They all point to organizational readiness, not technology.

Read Article →

Case Study

How an Agency Cut Client Onboarding Admin Time by 60%

A 12-person digital agency was losing 6+ hours per new client to manual onboarding. A workflow audit and three automations cut that to under 2.5 hours.

Read Case Study →

Let's talk.

Tell me a little about your business and what you're trying to figure out. I'll get back to you within a day.

Message received.

I'll get back to you within a day. In the meantime, you might find the Risk Playbook useful.