Multimodal AI
Turned PDF/photo-based checklist inputs into structured digital workflows.
Ayesha Syed
- Enterprise Audit and Compliance Products
- UB MIS Alum
- Generative and Agentic AI
I build AI-powered products and workflows for complex, regulated enterprise teams.
Senior Product Manager with 8 years in enterprise SaaS, compliance workflows, audit, inspections, corrective action systems, and GenAI automation.
What I bring to AI SaaS
Four AI product capabilities, proven in regulated enterprise work.
RAG + grounded answers
Designed citation-backed document Q&A patterns for compliance-heavy users.
Agentic workflow thinking
Explored AI assistants that detect gaps, recommend actions, and keep humans in control.
Enterprise PM craft
PRDs, wireframes, roadmap prioritization, UAT, sprint delivery, stakeholder alignment.
Where I fit
Four senior PM roles I'm built for.
Role 01
Enterprise AI Product Manager
AI features inside complex workflows, with eval, rollout, and adoption owned end-to-end.
Role 02
Compliance / GRC / Audit SaaS PM
Audit, regulatory, inspection, and CAPA workflows for regulated multi-tenant platforms.
Role 03
Technical PM / PMT - Workflow Automation
OCR, RAG, agents, and pipelines wired into real enterprise systems.
Role 04
AI Operations & Platform PM
Configuration consoles, multi-tenant admin, evals, and observability for AI in production.
How I work
Artifacts I bring to AI product work.
I don't just talk about AI. I turn AI capabilities into usable, measurable, governed product experiences with the artifacts to back it up.
PRDs
Problem, user, goals, non-goals, metrics, and risk explicit on page one.
Eval criteria
Per-dimension rubrics with good/bad answers and scoring methods.
Quality gates
What blocks release: confidence, citations, refusal behavior, audit logging.
Prompt strategy
System prompts, retrieval contracts, refusal patterns, and tool boundaries.
Human-in-the-loop review
Where the human verifies, what they can override, and how it's logged.
Workflow diagrams
End-to-end flow from input to action, with hand-offs and failure modes.
Launch readiness checks
Eval pass, tenant scoping, observability, rollback, and comms plan.
Product metrics
Adoption, acceptance, rework, escalations, and audit-impact metrics.
Career snapshot
A product progression, not a resume.
- 2026 →
GenAI and agentic workflow automation
M.S. MIS at UB in Generative & Agentic AI. Building grounded compliance assistants and targeting senior AI/PM roles.
- 2024–2025
Enterprise workflow & platform PM
Senior PM leading GenAI delivery embedded in compliance, audit, and inspection workflows.
- 2020–2023
Product ownership in audit & compliance
Owned audit, inspection, and CAPA modules for Fortune 500 EHS programs.
- 2017–2020
Customer + workflow foundation
Lived inside Fortune 500 EHS workflows. Translated messy field reality into product requirements.
Certifications (2026)
Credentials that back the craft.
AWS Certified AI Practitioner
Amazon Web Services
AI Product Manager Certification
IBM
Agentic AI
DeepLearning.AI
AI Studio Foundations Skill Badge
Asana