Ten capabilities. One operating system. Fixed fee.
Every engagement runs the same method — Diagnose, Decide, Design, Drive — against one of ten problems. Scoped in weeks rather than quarters, priced as a single fee agreed before work starts.
The ten capabilities
Most companies arrive naming one of these and leave having worked on a different one. The audit exists to establish which.
- 01
Growth & Corporate Strategy
Where to play, how to win, what to stop. A defensible set of choices with a kill list attached, not a longer list of initiatives.
→ - 02
Go-to-Market Strategy, AI-Enabled
ICP, segmentation, channel economics and sales motion — with an AI-enabled GTM stack underneath that actually gets adopted.
→ - 03
AI Enablement & Deployment
Opportunity map, tool rationalization, three piloted agentic workflows, AI council design and the adoption plan that keeps them alive.
→ - 04
Fundraise Readiness
Metric integrity audit, cohort and unit economics, equity story, diligence pre-mortem and data room architecture.
→ - 05
Product Strategy & Roadmap
Jobs-to-be-done, portfolio prioritization, a sequenced roadmap with a business case per bet and explicit kill criteria.
→ - 06
Pricing & Profitability
Willingness to pay, packaging architecture, discount governance, margin recovery — war-gamed for competitive response before you announce.
→ - 07
Revenue Systems & Operations
Funnel definitions, pipeline hygiene, forecast accuracy baseline, CRM architecture and the operating cadence that holds it.
→ - 08
Customer Journey & Retention
Cohort decomposition, churn taxonomy, onboarding redesign and a retention economics model that settles the investment argument.
→ - 09
Market Entry & Expansion
Bottom-up sizing, profit pool mapping, entry-mode analysis, localization requirements and a staged plan with exit criteria.
→ - 10
Operating Model & Transformation
Decision rights, org design options, activity-based cost, process redesign and the cadence that makes a strategy visible in the week.
→
Underneath all ten sit twelve codified disciplines — problem framing, financial modeling, market and competitive intelligence, document synthesis, primary research synthesis, hypothesis generation, strategic choice, execution planning, KPI architecture, war-gaming, executive communication, and proposal discipline. See The Consulting OS →
Four ways to engage
Strategy Audit
Thirty minutes, structured. Problem framing run live on your situation — the same discipline that opens every paid engagement. You leave with the question sharpened and a read on where the constraint probably sits. Roughly half of these end with a recommendation not to hire anyone.
Focused Module
One discipline, deeply. A competitive war-game before a pricing move. A KPI architecture rebuild. Decision facilitation between two roads. A board-memo overhaul. The lowest-friction way to see how this practice works before committing to a sprint.
Strategy Sprint
The full 4D arc on one of the ten capabilities. Diagnostic, decision workshop, one-page strategy or equivalent artefact, and a 90-day roadmap with named owners, dependencies and kill criteria. The core product of the practice.
Growth Partner
A fractional strategy function. Weekly operating cadence, decision support between the big moments, board and investor material, and the execution pressure that determines whether a roadmap survives its first month.
How pricing works, and why there is no rate card
Every engagement is fixed fee, quoted after the complimentary audit, agreed in writing before any work begins. No hourly billing. No change orders for scope that should have been anticipated. If the work expands because you asked for something genuinely new, that is a change control conversation with a number attached, not a surprise on an invoice.
There is no published price list because the word "strategy" covers a one-week board-memo module and a three-region expansion diagnostic, and pretending those are one price is a disservice to whichever one you actually need. What can be said in advance:
- The fee is a function of scope, not of hours. Efficiency gained through AI-assisted production benefits the timeline and the quality of the analysis. It is not a reason to bill you for a longer calendar.
- The audit is genuinely free and genuinely useful. It is also where the fee gets established, because it is where the actual problem gets named.
- If the budget and the problem do not meet, you hear it in the audit. Not on the third call.
- Every SOW contains scope boundaries, stated assumptions, a change control process, IP terms, and an explicit clause on how AI is used in delivery.
About the engagements
Which capability should I start with?
Frequently not the one you would name. Companies arrive describing a go-to-market problem that turns out to be a pricing problem, or a retention problem that was created at acquisition. The audit exists precisely to resolve that, and it costs nothing. Starting the wrong engagement is a far more expensive mistake than a thirty-minute conversation.
How quickly can an engagement start?
Typically two to four weeks from the audit, because at most two engagements run at a time and that limit is not flexed. It is the mechanism that makes senior-only delivery possible. If timing is genuinely critical, say so in the audit — occasionally a focused module can be slotted sooner than a full sprint.
Do you sign NDAs and work with sensitive data?
Yes. Client information is held under strict separation — each engagement's material stays isolated, source files are never edited, and nothing from one client is ever visible while working on another. Confidentiality obligations from prior clients and employers are honoured without exception, which is why no client or employer is named anywhere on this site.
Is AI used in delivering my engagement, and what does that mean for my data?
Yes, and it is disclosed explicitly in every SOW rather than buried. AI is used for analyst-grade production — model construction, market scanning, document synthesis, research assembly — under human review at every step. The judgment, the framing and the recommendation are not delegated to a model. Data handling terms, including which categories of information are excluded from any AI tooling, are agreed with you before work starts.
What if the engagement does not deliver what was scoped?
The scope, the deliverables and the definition of done are written into the SOW before work begins, precisely so this question has a factual answer rather than a relationship-based one. If a deliverable is not produced as specified, it gets produced. What is not offered is a guarantee of a business outcome, because the outcome depends on execution that is not mine to control — and anyone offering that guarantee is either overcharging for the risk or not planning to honour it.
Do you work with companies outside North America?
Yes. Delivery is remote-first from Toronto, with prior work spanning North America, APAC and the Middle East. On-site sessions happen where they earn their cost — usually the diagnostic readout and the decision workshop, where being in the room changes the outcome.
Start by naming the constraint.
Thirty minutes. Problem framing run live on your situation. Free, and useful whether or not it goes anywhere.