Senior AI Product Leader • B2B SaaS

I build enterprise AI products that earn trust and drive commercial outcomes.

AI product leadership across strategy, customer discovery, enterprise workflow automation, and agentic systems — from roadmap to GTM growth and trusted adoption.

3× ARR growthScaled an enterprise automation product line over ~30 months
75% cycle-time reductionCut enterprise workflow processing time through AI automation
8-figure pipeline supportedThrough ICP refinement, product positioning, and GTM enablement

Representative outcomes from enterprise SaaS product leadership.

Mohanraja Sivakumar
Executive product strategyCustomer discovery • Roadmaps • GTM alignment
Reliable AI systemsHuman oversight • Evaluation • Governance

Product leadership across enterprise SaaS and AI

Experience spanning finance automation, procurement, cloud platforms, and AI-enabled enterprise workflows.

Serrala

Senior Product Manager — AP & Supplier Portal

Lead product strategy and cross-functional delivery across AP automation, supplier experiences, AI-enabled workflows, ERP integrations, and e-invoicing. Shipped enterprise capabilities designed to reduce manual processing and strengthen adoption across finance workflows.

Aug 2023 – Present
EIS Group Ltd.

Product Manager — CloudCore Platform

Owned the CloudCore platform roadmap across cost efficiency, observability, release execution, and enterprise availability. Delivered platform improvements while maintaining stringent reliability and release-quality requirements.

Oct 2022 – Aug 2023
Coupa Software

Product Manager — Procurement & AP Automation

Led product discovery and delivery across procure-to-pay, AP automation, and invoice-management capabilities. Shipped capabilities used by global enterprise customers and supported stronger workflow adoption.

Jun 2017 – Sep 2022

How I build enterprise AI products

My career has progressed from enterprise procurement and AP automation at Coupa, to cloud-platform product management at EIS, to leading AI-enabled finance automation and supplier products at Serrala.

I build enterprise SaaS and AI products by combining customer discovery, roadmap ownership, operating-process design, GTM alignment, and the controls required to move from prototype to reliable production adoption.

Discovery before roadmap, always.

I use customer evidence, usage patterns, commercial signals, and competitive context to shape priorities before writing requirements.

Workflow first, model second.

I map decisions, handoffs, exception paths, controls, and measurable outcomes before choosing models or agents.

Autonomy requires trust infrastructure.

I design human-in-the-loop controls, observability, explainability, cost controls, and auditability before increasing autonomy.

AI Product Operating System

The practical operating model I use to move AI products beyond demos: define the workflow, set quality thresholds, design human oversight, monitor outcomes, govern change and risk, and expand autonomy only when evidence supports it.

Workflow DesignAgentic SystemsHuman OversightEvaluationObservabilityGovernance
Autonomy is earned through evidence.
Define the workflowDecisions, handoffs, exceptions, and limits
Set quality thresholdsEvaluations, acceptance criteria, and guardrails
Design human oversightReview, override, and escalation paths
Monitor outcomesReliability, adoption, latency, and cost
Govern change and riskAuditability, permissions, and policy controls
Expand autonomyWider scope, earned
Repeat with wider scope
Repeat with wider scope
WorkflowDecisions, handoffs, exceptions, and boundaries
EvaluationQuality tests, regression checks, and acceptance thresholds
OperationsReliability, cost, incidents, and adoption signals
GovernanceAuditability, permissions, policy, and human approval

Let’s talk about enterprise AI products.

I enjoy thoughtful conversations about enterprise AI, workflow automation, product strategy, and how to move AI systems from prototype to trusted production.