Kavita Sharma

Chief Sales Officer

Enterprise Technology SalesAccount ManagementSales StrategyB2B Deal Management

About Kavita Sharma

Kavita Sharma is the Chief Sales Officer at Halkwinds, driving enterprise sales strategy and client acquisition across key global markets. With over 10 years of experience in enterprise technology sales, Kavita has built and led sales teams that consistently exceed targets while building long-term client relationships rooted in value delivery.

Kavita specialises in complex, multi-stakeholder enterprise deals — navigating procurement processes, aligning executive sponsors, and positioning Halkwinds' engineering capabilities against client transformation objectives. She has built the company's enterprise sales playbook and is responsible for key accounts across the financial services, healthcare, and manufacturing verticals.

Her client-first philosophy and deep knowledge of enterprise software procurement have made her a sought-after advisor for technology buyers evaluating AI, cloud, and custom software investments. Kavita is committed to transparent, consultative selling that prioritises client outcomes over short-term revenue.

Published Work

ResearchEnterprise AI Adoption Trends 2026Nov 2025

Research Contributions

Enterprise AI Adoption Trends 2026 — Sales Insights Contributor

Areas of Expertise

Enterprise Technology SalesAccount ManagementSales StrategyB2B Deal ManagementClient Relationship ManagementRevenue Growth

Technologies

Salesforce CRMSales Intelligence PlatformsProposal Management ToolsEnterprise Procurement Portals

Experience

10+years of industry experience

Industries Served

Financial ServicesHealthcareManufacturingRetail & E-CommerceTechnology

India

Related Services

Related Case Studies

Student Learning Platform

All Authors at Halkwinds

Kavita's Research Areas

Relevant Research & Benchmarks

View all research →

Enterprise AI24 min

Enterprise AI Adoption Trends 2026

Enterprise AI has crossed the operational threshold. Seventy-two percent of Fortune 500 organizations now run at least one AI system in production — and the average enterprise manages 3.4 concurrent AI initiatives. This report maps the state of enterprise AI across healthcare, manufacturing, financial services, retail, and beyond.

Read report

Finance & Fintech20 min

Fintech AI Adoption Report 2026

Financial services organizations are navigating a pivotal transition in AI adoption — moving from exploratory pilots toward enterprise-scale deployments that are becoming load-bearing infrastructure within core business processes. The 2026 landscape is defined not by whether to adopt AI, but by how to deploy it responsibly, at what pace, and within which governance architecture. Incumbent banks, c...

Read report

Finance & Fintech18 min

Banking Automation Trends 2026

Banking automation has moved well past the proof-of-concept phase. The institutions that have captured the most value are not those that deployed the most bots or launched the most AI pilots — they are the ones that built automation as a strategic capability, with deliberate governance, disciplined sequencing, and organizational structures that treat process intelligence as a core competency. In 2...

Read report

Finance & Fintech19 min

Fraud Detection Market Analysis 2026

Fraud detection has entered a structural transformation driven by the convergence of real-time payment rails, AI-native decisioning architectures, and increasingly sophisticated adversarial fraud operations. For financial institutions, payment processors, and fintech platforms, the ability to detect and prevent financial crime in real time is no longer a compliance checkbox — it is a core operatio...

Read report

View all research →

Implementation Cost Guides