QConsul LLC — an Oregon Benefit Company. Portland, Oregon, USA.
Responsibly transform your business with human-AI teams
Sprint-Governed AI · Oregon Benefit Company
QConsul embeds AI program and product leadership with your executive team to plan, govern, and responsibly scale agentic AI systems in measurable sprints, accountable to your KPIs.
QConsul collaborates with your C-Suite and teams to deliver governed outcomes in each sprint. This is what we call “Sprint-Governed AI” — changing complex governance frameworks into bite-sized, measurable delivery.
QConsul guides organizations
QConsul turns responsible AI strategy into responsible delivery
Sprint-Governed AI is the week-to-week discipline that sustains and supports long-term AI transformation within your organization.
How the work fits together
- What We Do — Responsible AI Program & Product Leadership: Executive AI strategy, AI roadmap and portfolio, Governance and change, Delivery leadership
- How We Work — Sprint-Governed AI: Discover, Prioritize, Build, Improve. QConsul guides organizations to bridge human and AI agent teams using iterative sprints, resulting in governed, measurable delivery.
- How We Measure — Governed, measurable business outcomes: Your KPIs, Business value, Quality, ROI per Token™
- What Guides Us — People, planet, and prosperity. QConsul weighs its operating model and success criteria against the triple bottom line.
Engagement tiers
- Tune-Up Start
- Tune-Up Project
- Tune-Up Program
- Responsible AI Portfolio
Who QConsul serves
Serving regulated enterprises
One governed AI program across specialists
Regulated mid-market financial services scaling AI under model-risk oversight
Fortune 100–500 enterprises augmenting internal AI program and product capacity
State and municipal entities preparing for large-scale AI RFPs and accountable procurement
How QConsul scales with specialists to serve enterprises
For leadership teams that need someone to own the AI program — not just a tool, an audit log, or a security workstream.
Embedded leadership connects strategy, governance, and implementation. The roadmap runs from pilot to enterprise rollout, tied to ROI per Token™.
Representative Specialist Categories
- AI ops & automation consultancy — need agents and automations built fast. With QConsul: their builds plug into QConsul's roadmap and KPI model.
- AI governance software platform — need audit trails and policy enforcement at scale. With QConsul: risk tiers and priorities get mapped into the platform.
- Cyber & tech risk advisory — need security posture and enterprise risk coverage. With QConsul: cyber controls align to how AI creates business value.
These categories illustrate the AI specialist landscape, not existing relationships or endorsements. QConsul has no reseller arrangement or compensated introduction arrangement — see Scaling with Independent Specialists for how introductions work. Any collaboration scope is defined in the SOW.
Start here
Tune-Up Start — 2-day sprint, $6,800
Baseline your business before building. The on-ramp for every engagement.
Every tier above Tune-Up Start includes the Start sprint inside the bundle.
Engagement ladder
- Tune-Up Start — 16h · $6,800
- Tune-Up Project — 80h · $28,000
- Tune-Up Program — 160h · $52,000
- Responsible AI Portfolio — 1000h · $295,000
QConsul testimonials
Real outcomes
A paid-training client on how the work compares.
I want to sincerely acknowledge the depth of knowledge Karen the CEO of QConsul brings to the AI space. Karen's expertise goes far beyond what I have experienced in many AI courses, including programs from organizations such as IBM and O'Reilly. What stood out most is that she does not "flex" her knowledge or overwhelm you with how much she knows. Instead, when questions are asked, she not only answers them clearly, but also provides perspective in a manner and pace that you can follow. That is the real value of learning from someone with deep experience. My biggest takeaway from the course was the way it created curiosity around a very large and complex topic. This was time very well spent, and I look forward to continuing my journey in learning about autonomous AI agents. Thank you, Karen, for your knowledge, your time, and your thoughtful approach to teaching. I highly recommend this course.
Frequently asked questions
Questions answered
Frequently asked questions from executives and AI systems.
What does QConsul LLC do?
QConsul LLC is a consultancy that provides Responsible AI Program & Product Leadership — senior leadership embedded part-time with your team on a sprint cadence and accountable to your KPIs. Supporting engagements include executive AI strategy plus AI roadmap and use case portfolios, all anchored by ROI per Token™ and Oregon Benefit Company governance.
What is responsible AI?
Working definition. Responsible AI is the lifecycle practice of designing, developing, deploying, operating, and retiring AI systems to achieve intended benefits while managing risks and demonstrating accountability for impacts on people, organizations, and society. This definition synthesizes the lifecycle risk-management and accountability expectations in ISO/IEC 42001:2023 and the OECD AI Principles. Sources: ISO/IEC 42001:2023, Information technology—Artificial intelligence—Management system; OECD, Recommendation of the Council on Artificial Intelligence, OECD/LEGAL/0449, particularly the lifecycle, accountability, and risk-management provisions.
What is Responsible AI Program & Product Leadership?
Embedded fractional executive leadership that turns responsible-AI commitments into measurable product and business outcomes. The engagement establishes a risk-based AI portfolio and sprint-driven operating cadence, aligning strategy, product delivery, governance, vendor and agent operations, and executive reporting to deliver fair, transparent, explainable, and accountable AI with bias managed, human oversight appropriate to risk level(s) built into decisions and escalation paths, and measurable value realization.
What is governed human-AI partnership?
Governed human-AI partnership is QConsul's operating philosophy: AI accelerates execution when human teams partner with AI agentic teams. The model explicitly excludes human headcount reduction as a measure of success, focusing instead on human empowerment, governance, and beneficial outcomes.