Lead time
from validated idea to first usable increment
Measures the real time between a prioritized need and a deliverable someone can test. It counts flow, not activity.
I help you redesign discovery, requirements, prototyping, delivery, and QA so AI agents change the whole workflow, not just accelerate isolated tasks.
This is not about adding a chatbot to the process. It is about redesigning how your team discovers, decides, builds, validates, and learns with agents placed where they actually change the workflow.
I help you package AI inside the SDLC as an operating transformation: roles, rituals, artifacts, agents, controls, and metrics. I bring the experience of having applied it in a real product environment with stakeholders, roadmap, technical teams, QA, and releases.
We turn conversations, customer signals, and technical constraints into actionable product decisions, not documents nobody opens again.
We design agents that work with product and codebase context to produce requirements, cases, and criteria the team can review.
We move ideas into navigable or technical prototypes so business, product, and technology align before committing delivery capacity.
We integrate AI into implementation, documentation, review, and handoff without losing human control, traceability, or quality standards.
We make defects, UAT feedback, and delivery metrics feed back into discovery, backlog, and the team’s working prompts.
We measure variables that change the economics of delivery and the quality of decisions. We avoid vanity metrics such as number of agents created, prompts used, or documents generated.
from validated idea to first usable increment
Measures the real time between a prioritized need and a deliverable someone can test. It counts flow, not activity.
from ambiguous requirements or late decisions
Percentage of stories that move backwards because functional, technical, or product alignment was not clear enough.
to UAT or production
Errors that arrive late because discovery, design, criteria, or QA did not capture the risk properly.
of delivery against commitment
The gap between what was committed, delivered, and rejected because of scope changes or weak definition.
spent on low-value work
Hours from PMs, tech leads, QA, and stakeholders spent summarizing, rewriting, chasing context, or repeating explanations.
of the new operating system
Sustained use of workflows, artifacts, and agents by real teams, not the number of prompts, demos, or isolated pilots.
Strategy, discovery, roadmaps, and AI integration — from a Product Manager with experience building 0→1 products, leading product strategy, and helping teams ship faster.
Free · 30 min
A short conversation to understand your context, challenges, and goals. We explore whether I can help and what the highest-value next step looks like.
One-off session
A focused 60-minute session about strategy, product discovery, prioritization, roadmaps, AI adoption, or product career growth. Bring your questions and leave with concrete next steps.
Ideal for founders, product managers, and teams looking for an outside perspective.
We start with the free 30-min call to align goals; the rest of the process is handled by email.
Monthly advisory
I work with you as a part-time product partner. Regular strategy sessions, follow-up between meetings, and continuous support across product and AI initiatives.
Tailored to your needs.
Let’s talkProduct strategy, discovery, validation, and go-to-market — as a one-off session or continuous engagement.
Apr 2025
Mentored 4 startups (AI, IoT, Operations, Wellness Tech) on product strategy, validation, and go-to-market.
Dec 2024
Refined the value proposition during Customer Discovery and strategic positioning conversations.
Feb 2022 — Dec 2022
Supported the founding team with Customer Discovery and the CTO search and hiring process.
How we start, what the format looks like, and what to prepare before the first conversation.
We always start with a free 30-minute call. I understand your current SDLC, bottlenecks, and business goals, and we decide whether it makes sense to take the next step together.
Not only. Tools matter, but the service is designed as a transformation of the operating system: stages, roles, artifacts, rituals, agents, human controls, and metrics.
Discovery, requirements, backlog, prototyping, functional documentation, technical handoff, AI-assisted implementation, QA/UAT, and post-release learning.
Lead time from idea to usable increment, rework, escaped defects, delivery predictability, expert time spent on low-value work, and sustained adoption of the new workflow.
The more context the better: your current discovery and delivery flow, examples of requirements, roadmap, delivery metrics, recurring problems, and the tools you already use.
Both: product leaders, founders, tech leads, and teams that want to move from experimenting with AI to redesigning how they build digital products.
Or just say hello