Russlan Ramdowar

Russlan Ramdowar

Founder, iPulse AI / Future Edge Group | Author | Agentic AI and business transformation

Dubai, United Arab Emirates

Actions

Russlan Ramdowar is the founder of Future Edge Group and iPulse AI, an Open Agentic Investment Research Platform, and the author of Hymn of Modernity. Based in Abu Dhabi, he builds AI-driven research workflows and explores how organisations can evaluate, govern and operate them.

His work focuses on making AI-generated research inspectable through visible reasoning, model disagreement, dated forecasts and evaluation. His executive white paper examines AI adoption versus transformation: how productivity gains change operating dependencies, decision rights and human responsibilities.

Russlan also publishes AI Investment Edge: Stocks, Markets & Money, a podcast exploring AI, markets and investment research. His speaking topics include evaluating agentic AI beyond consensus, testing the resilience of automated workflows, and moving from AI tool adoption to organisational transformation. He brings a founder's perspective grounded in practical implementation, with evidence, limitations and lessons made explicit.

His past appearances include the AI-Driven Economic Transformation in the UAE panel at AINext Awards & Conference Dubai on 22 October 2026, and a separate startup pitch at the Web Summit Startup Showcase.

Area of Expertise

  • Business & Management
  • Finance & Banking
  • Information & Communications Technology

Topics

  • Artificial Intelligence
  • Agentic AI
  • AI Evaluation
  • Digital Transformation
  • Operational Resilience
  • Investment
  • Investing
  • investment technology
  • Investment Strategy

Your AI workflow is down. Is your business still up?

AI productivity gains can become delivery commitments before a team has mapped what the workflow depends on. Switching to another model may still leave missing permissions, connectors, evidence and workflow state.

This practitioner talk works through a sample agentic research workflow to distinguish adopting an AI tool from changing the operating model around it. We map the essential service, identify failure paths, define a usable degraded mode and design a controlled recovery exercise. The focus is on ownership, observability, human handoff and the evidence needed to decide whether a fallback actually works.

Attendees leave with a dependency checklist, a recovery-drill structure and concrete measures such as time to restore an essential task and how errors or backlogs are contained. The talk distinguishes proposed exercises from completed tests and discusses limitations openly.

Audience: engineering, DevOps and technology leaders. Presentation option: 25-minute talk plus 5-minute Q&A. Level: intermediate. The recovery exercise is a proposed method, with completed implementation work and hypothetical scenarios distinguished clearly.

When AI research agents agree, what should we still test?

Agreement between AI agents can look reassuring while concealing shared assumptions, shared data problems or a common blind spot. How should a team evaluate the output before making it part of a decision workflow?

Using examples from building iPulse AI, this session separates inspectable reasoning from evidence of correctness. We consider how to preserve a dated forecast record, expose disagreement, compare outputs with subsequent observations and identify the limits of retrospective studies. We also discuss what a human reviewer needs to challenge the system and where evaluation remains incomplete.

The audience leaves with questions and a lightweight evaluation structure that can be adapted to research and other agentic workflows. This is a product-building case study about methodology and limitations.

Audience: AI builders, fintech teams, researchers and technology leaders. Presentation option: 25-30 minute case study. Level: intermediate. Focuses on evaluation methodology and implementation lessons.

AI adoption versus transformation: how not to go wrong

A team can adopt AI quickly while leaving responsibilities, controls and fallback procedures unchanged. The productivity gain then becomes a dependency that the operating model has not addressed.

This discussion examines how leaders can identify the point where an AI tool becomes part of an essential service. We explore decision rights, evidence, meaningful human intervention and the questions investors and boards should ask about recovery. A proposed resilience exercise makes the discussion concrete without presenting hypothetical results as empirical findings.

Participants leave with a practical way to separate tool adoption from operating-model transformation and a short set of questions to use in management or investment discussions.

Audience: executives, founders, investors and boards. Presentation option: 20-minute briefing. Explores themes from an executive white paper on AI adoption versus transformation; proposed exercises are distinguished from completed empirical studies.

Building an agentic investment research company: a founder's story

What does a founder actually build when AI agents produce the research?

Drawing on the development of iPulse AI, an Open Agentic Investment Research Platform, Russlan Ramdowar shares the practical decisions behind building an agentic investment research company: turning an idea into connected research workflows, combining distinct AI perspectives, publishing generated forecast reports, and making the process inspectable.

The discussion explores how automation changes a founder's day-to-day work, what to automate, where human judgement remains necessary, and how to handle model disagreement, reliability and trust. It also connects the research product with an automated podcast and the challenge of communicating AI-generated work responsibly.

The session works as a talk, panel discussion or fireside conversation, inviting founders and investors to compare approaches to AI-native company building, product development and organisational design. It centres on implementation choices and lessons from the build, with evidence and limitations made explicit.

Audience: founders, investors, AI builders and business leaders. Discussion areas include AI-native company building, entrepreneurship, agentic workflows, investment research, product development and trust. Format and duration can be adapted to the programme.

AINext Awards & Conference Dubai 2026

Panelist: AI-Driven Economic Transformation in the UAE. Speaking appearance on 22 October 2026, 14:10-14:50.

October 2026 Dubai, United Arab Emirates

Russlan Ramdowar

Founder, iPulse AI / Future Edge Group | Author | Agentic AI and business transformation

Dubai, United Arab Emirates

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top