Let's build products that solve real problems and scale with purpose

Three engagement models for organizations that need senior product leadership, AI strategy, or hands-on AI implementation - without the full-time overhead.

AI Strategy

Define your AI roadmap

4-6 week engagement

Work with your leadership team to identify high-impact AI opportunities, define a responsible AI framework, and build a prioritized roadmap aligned to business outcomes.

AI opportunity assessment

Responsible AI & privacy framework

Prioritized product roadmap

Build vs. buy decision matrix

Proof: RHEO - the AI-native delivery model (AIDLC) designed and operationalized from scratch.

Fractional CPO

Executive product leadership on demand

Ongoing, 1-3 days/week

Embedded part-time Chief Product Officer providing strategic direction, team mentorship, and hands-on leadership for your product organization - without the full-time overhead.

Product vision & strategy

Design AI-native ProductOps

Human-AI orchestration model

Team coaching & mentorship

Stakeholder & board communication

OKR & roadmap governance

Proof: Rheaply (4x ARR, $17M+ savings) and iPoint (5x ARR, 70K+ suppliers) - ran existing product orgs at enterprise scale.

AI Consulting

Hands-on AI implementation

Project-based, 6-12 weeks

Practical, execution-focused consulting to design, prototype, and ship AI-powered features - from LLM integration and RAG pipelines to agentic workflows and evaluation frameworks.

AI feature design & prototyping

LLM integration & RAG architecture

Evaluation & guardrails framework

Change management & AI adoption

Team upskilling workshops

Proof: RHEO - agentic execution under human guardrails, shipping in days not weeks.

How I Work: The AIDLC Model

The AI Development Lifecycle - a 3-step model that pairs human-led strategy with agentic execution and human review. Applies across all three engagement tiers, not just delivery work.

Responsible AI

Privacy Preserving

Human in the loop

1

Human-Led Strategy

Human product leaders define the problem, success metrics, and responsible AI guardrails before any code is written. Strategy stays human - speed comes from execution, not from skipping the thinking.

2

Agentic Execution

AI agents handle implementation - code generation, testing, data pipelines, and documentation - under the guardrails set in the strategy phase. LCNC tools compress weeks of build into days.

3

Human Review

Every shipped artifact passes through human review checkpoints - quality, safety, privacy, and business alignment - before it reaches production. Ships fast, never ships unreviewed.

Ready to build something that matters?

Book a 30-minute discovery call to discuss your goals and find the right engagement model.

Kittali Weidner

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