Zeeshan Aga

• 17 — AI Agents Built and Orchestrated
• 93 — Real Decision Makers Engaged
• 1,100+ — Personalized Emails Sent and Tracked
• 86% — of Email clicks exposed as security scanners
• 67% — of Email Opens Filtered as Machine traffic

Senior B2B outbound is a team’s worth of work. Researching accounts, writing a personalized message for each one, following ip on time and staying visible on Linkedin. AI can do the volume, but it brings 2 new problems. It writes generic copy and occasionally gets facts wrong, which damages trust with senior buyers. Metrics are surface level and decisions made on those chase the wrong buyers.

• Designed a 17-agent system covering account research, drafting, sending, LinkedIn engagement, tracking and reporting.
• Added a fact-check gate. Every message is checked against an approved list of claims before send.
• Added a relevance gate for LinkedIn. Every comment is judged against the full post. Weak comments become a like, or are skipped
• Built human-versus-machine filtering on email tracking, using timing, network and scanner patterns, so only real readers count.
• Real engagement triggers an instant Slack alert, and a daily report summarizes activity and next actions.

1,100+ emails tracked and 93 real decision makers engaged. Filtering exposed 86% of clicks as scanners, so follow-ups reach real readers. The takeaway: AI makes outbound fast, but measurement and guardrails make it trustworthy.

Planning in a Box is a supply chain transformation tool built on Google Cloud to enable a control tower for end-to-end supply chain visibility. We focused mainly on use cases like demand sensing, demand forecasting, inventory positioning, and inventory visibility. The goal was to generate interest within the top 2,000 accounts in retail, CPG, manufacturing, healthcare, and high-tech customers across North America, the UK and Ireland, EMEA, META, and the Indian subcontinent.

I led the deployment of an automated engine to drive top-of-the-funnel interest and trickle down to the middle and bottom of the funnel through intent tracking and hyper-personalized account-based outreach. These efforts generated $75 million in qualified leads, with an average ticket size of $175,000 per opportunity. I also converted major customers, including a leading toothpaste manufacturer and a large motorcycle brand.

Pluto7 is a leading boutique solutions company offering supply chain transformation services by combining data and machine learning AI.

I led the team through an easier GTM with a subscription-based product offering to drive quick adoption, simulated demos, and try-before-you-buy plans, enabling customers to touch and feel the features and then invest. Through subscription offerings, I lowered the entry barrier from $200,000 to as low as $20,000 for a faster sales cycle.

I led a cross-functional team to design and implement AI-driven solutions that improved customer experience and operational efficiencies for healthcare, manufacturing, and retail clients. I collaborated with senior stakeholders to drive organizational change, fostering a culture of innovation and facilitating workshops to elevate the organization’s AI maturity level.

Additionally, I managed relationships with technology partners and vendors, ensuring the successful integration of AI technologies and tools within client environments. I collaborated closely with cross-functional teams to integrate AI solutions into existing IT infrastructures, ensuring seamless adoption and minimal disruption to business processes.

I developed and executed training programs for over 200 employees, fostering an AI-driven culture and enhancing staff competencies in using AI tools and methodologies. I also played a pivotal role in securing key accounts by leveraging expertise in AI applications to deliver tailored presentations that demonstrated potential ROI from proposed AI initiatives.

InstaSafe, an award-winning cloud security SaaS product, wanted to use martech to drive its customer nurturing and demand generation part of the sales funnel. The challenge was that customers needed a lot of nurturing and education, and that was where expensive sales resource time was being allocated.

I was hired as a consultant to set up an in-house demand generation engine that would take over and be accountable for the customer journey—from suspect to customer. I used a digital-first approach with content-driven knowledge dissemination to identify suspects. Then, I converted them to prospects, according to the ideal customer profile, using a lot of demo selling and simulated demos to drive interest and awareness.

These efforts resulted in $4 million in qualified sales funnel in the commercial negotiation phase with a closure rate of 80% within two quarters.

The goal was to engage 200 partners across five cities. I enabled system integrators (SI) and resellers by educating them on the benefits of professional graphics versus consumer-based graphics platforms. I also inducted the SI and resellers into a tailor-made referral program to provide sales leads through Sfunnle.com.

• 17 — Autonomous AI Agents Built and Deployed
• 3x — Daily Automated Outreach Runs without Engineering Support

Qorden AI had no marketing function, no pipeline, and no brand presence. Reaching enterprise buyers in the GCC required building an ICP definition, demand-gen infrastructure, and outreach capabilities from scratch. Pipeline generation was entirely founder-dependent with no repeatable motion in place.

Built the marketing function from zero, including ICP segmentation, ABM program design, and account-level outreach cadences. Developed a 17-agent autonomous GTM system using Claude as the reasoning layer, running three times daily to handle prospect research, personalized outreach, content publishing, LinkedIn amplification, and a weekly intelligence brief to senior contacts. Implemented AI-generated video outreach using a professional voice clone for hyper-personalized account engagement at scale without engineering support.

• Built an AI-native demand engine running autonomously 3x daily
• Published 17-agent GTM system as B2B SaaS proof of concept
• Generated direct inbound interest from enterprise buyers and senior marketing leaders