QConsul LLC — a certified Oregon Benefit Company. Portland, Oregon, USA.
Services — right-sized AI program and product services
The QConsul AI Transformation System™
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.
- 1. Discover — Future-state vision. Name the future-state vision for human-AI teams, the operating model it implies, and the resourcing plan to redefine roles across them. Where are we going?
- 2. Prioritize — ROI per Token™. Rank the work by business value returned per AI interaction paid for, and set the target before anything is built. What is worth doing first?
- 3. Build — Sprint-Governed AI + Token Minimalism Framework. Ship something measurable every sprint, with context, skills, and agent footprint sized up front in the spec via the Agent Lifecycle Pipeline, not trimmed afterward. Human team members are upskilled through a change management plan built into the sprint cadence, not added after deployment. How is it built and shipped?
- 4. Improve — Re-baseline and compound. Re-run evaluations, check for drift, and re-baseline cost and quality. Check in on how the human-AI partnership is working in practice, and refine the change management plan to close any knowledge and skill gaps that surface. How do we prove and compound the value?
The governed framework — AI Governance Framework. Governance is not a phase. It is the governed framework around all four: oversight mode, controls, evidence, and token budgets are set before build starts and re-checked in every phase — governance from Sprint 1, not after deployment. How do we scale responsibly?
Improve returns to Discover. The system is a cycle, not a one-time engagement, and the governed framework holds around every turn. 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.
An Agile AI transformation — why AI transformation requires a different delivery model
AI programs stall when strategy, adoption, and governance are handled as separate engagements. QConsul runs them as one delivery model.
| Traditional approach | QConsul approach |
|---|---|
| Strategy recommendations followed by handoffs | Embedded AI leadership from strategy through execution |
| AI pilots without adoption pathways | Governed sprints tied to measurable business outcomes |
| Automation of isolated tasks | Human and AI operating model transformation |
| Technology-first decisions | Business value and ROI-first decisions |
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 |
| Embedded 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.
Inside the governed framework
Every AI implementation carries security, cost, and stakeholder implications. QConsul works inside your existing AI governance platform, or helps you scope a right-sized alternative — the deliverable is a tailored operating method your team owns and runs. On security specifically, QConsul maps risk tiers and priorities into your governance platform and, where needed, coordinates with cyber and tech risk specialists. (See Role disclaimer in the pricing details and terms section.) Details: Responsible AI program management — the governance crosswalk and Agent Lifecycle Pipeline — spec to production, with the launch workflow. QConsul designs and helps implement governance-aligned configurations and operating models but is not your legal counsel, not your formal GRC or compliance authority, and does not issue certifications or audits.
Frequently asked questions
What engagements does QConsul LLC offer?
Right-sized engagements clients compose to fit: Embedded 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 profit.
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.
Build b-44932b2721eb (deployment 11821). Verification: https://qconsultai.com/freshness.txt.