QConsul LLC — an Oregon Benefit Company. Portland, Oregon, USA.
Services — right-sized AI program and product services
Sprint-Governed AI
A guided pathway to building governed human and AI organizations. One loop, four phases, turning clockwise inside a governed framework. The loop diagram is published on the Services page as the single canonical view. Sprint-Governed AI delivers your organization's objectives and requirements using an adaptable, governed Agile-based process in which your organization defines important considerations for your responsible AI implementation(s), including ISO generally treats transparency, explainability, fairness/bias management, accountability, privacy, safety, and human oversight.
- 1. Discover — Future-state vision. Define your organization’s objectives, baseline the current state and analyze the gap towards the future-state, the operating model required, and the applicable roles and responsibilities (RACI). Where are we going?
- 2. Prioritize — ROI per Token™. Rank the work by business value and set the target Return on Investment (ROI) before anything is built, so you can strategize about how to build within your budget using AI models that achieve sufficient outcomes. What is worth doing first?
- 3. Build — Token Minimalism Framework. Ship valuable and measurable features every sprint using the minimum tokens and compute needed to achieve the business outcome(s) (Token Minimalism Framework). How is it built and shipped?
- 4. Improve — Re-baseline and compound. Re-run evaluations, check for drift, and re-baseline cost and quality. Review Corrective Actions, Risk Management, Preventative Actions, and more. How do we increase efficiency and effectiveness?
Governed framework crosswalk(s) — Applicable AI Governance Framework(s). Governance is not a phase. It is the governed framework around all four: Using your organization’s objectives and requirements, define the applicable governance framework(s) to use, data quality and governance, the effective oversight mode(s), controls, evidence, token budgets, and more. The methodology tailors to your needs for auditable, evidence-based processes. How do we scale responsibly?
Token minimalism is a design constraint applied in the Build spec — not an after-the-fact measurement. HOTL/HOOTL oversight patterns and Human–AI Partnership run across every phase.
See detailed examples of Sprint-Governed AI.
Pricing / Rate Card
Standard rate $425/h. Four-tier bundle ladder; bundle total = bundle hours × rate. Valid through December 31, 2026. Reference figure only — the SOW and governing contract control. Downloadable PDF: QConsul-Rate-Card.pdf.
| Tier | Bundle hours | Rate | Bundle total (hours × rate) |
|---|---|---|---|
| Tune-Up Start (2-Day Sprint) | 16h | $425/h | $6,800 |
| Tune-Up Project (includes Start) | 80h | $350/h | $28,000 |
| Tune-Up Program (includes Start) | 160h | $325/h | $52,000 |
| Responsible AI Portfolio (includes Start) | 1000h | $295/h | $295,000 |
AI licensing and platform token costs are scoped during Tune-Up Start, sit outside QConsul's control, and are billed directly by the client's AI platform vendors under the client's vendor contracts. Benefit Companies offer reduced rates to qualifying 501(c)(3) organizations — inquire to confirm availability.
Frequently asked questions
What engagements does QConsul LLC offer?
Right-sized engagements clients compose to fit: Responsible AI Program & Product Leadership for the AI and automation portfolio, Tune-Up Start / Project / Program sprints for focused work, and standard-rate hours for ad-hoc support. Each anchors to people, planet, and prosperity.
What is a typical engagement timeline?
Engagements run on Agile cadences — discovery, design, and delivery overlap and iterate rather than wait in line. Near-term wins ship in the first sprints while the roadmap keeps reprioritizing against your KPIs and the value framework.
Start the conversation
Start the conversation — book a discovery call with QConsul. Or begin with the on-ramp engagement: Start a Tune-Up Start to baseline your business before building.