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HQ — Business Plan

Curtis · Justine · Josh  ·  v3.0 · 2026-05-01  ·  leave comments on any section

01 · Thesis

We build the technology layer your business would never build for itself

Our clients either earn enough per hour that a $15–25k buildout is obviously rational (the Chief of Staff line), run operations at a scale where a custom platform pays for itself in months (the Ops line), or need private data and intelligence their industry can't buy off the shelf (the Data & Intelligence line). One firm, three lines, same delivery team — different vocabulary and sales motion per line.

Every YouTube tutorial that says "set up Claude in an hour" reinforces our market. The setup friction is not a bug we need to solve — it is the reason the service exists. Chief of Staff clients pay us because 12–20 hours of concentrated setup across multiple sessions is time they cannot spend. Ops clients pay us because building the platform that actually runs their floor is a nine-month project their team was never going to start. Data & Intelligence clients pay us because we already maintain the scrapers, pipelines, and datasets their in-house team would take years to build.

What we do

  • Private discovery — we understand the prospect's whole stack and pain surface, not just their stated ask
  • Custom automations built to their workflow — email triage in their voice, morning briefs, call transcription, calendar hygiene
  • Private AI deployments — local hardware for sensitive data, Claude API for the rest
  • AI compute deployment — Mac minis, GPU workstations, or equivalent; we source, prep, configure, and set up. Hardware markup + setup time per scope.
  • Scoped project-based builds for clients who want a discrete thing built without a monthly commitment
  • Scoped project work layered into retainers when clients want more than their embedded capacity covers
  • Narrow legal / compliance automation (NDA generation, regulatory filings monitoring)
  • Data / intelligence feeds when they fit our gov/industry data capabilities

What we don't do

  • Printer fleets, network switches, ISP negotiation, Office 365 tenant admin
  • Help desk at scale, managed services
  • Bookkeeping, invoicing, commercial contract management
  • Templated SaaS-style delivery
  • Anything an actual IT company or internal IT team should handle
  • Public pricing or cold-form intake

Service lines

LineWho it's forWhat we buildReference case
Chief of Staff Wealthy non-technical individuals ($5M+ NW) Voice-matched email + calendar + drafting + concierge delivery Justine's first 3 clients (active pipeline)
Ops Business operators who need a custom platform — e-commerce, yards, shops, floor-driven ops, manufacturing, retail, construction Inventory, listings, pricing, shipping, customer comms, scheduling — one screen, unified data source BGops (Black Gold Auto Parts) — 95k parts, $461k+ tracked, 1.04M photos
Data & Intelligence Firms needing private scrapers, competitive monitoring, or specialized industry / government intel Custom data pipelines, monitoring feeds, private dashboards, scraper stacks Canadian gov + lobbying data tooling (7.5 GB, 6.2M+ donation records) — internal capability Josh maintains

Same firm, same delivery team, same tech stack. Different vocabulary, different buyer profile, different sales motion per line. New verticals (Healthcare ops, Legal ops, etc.) fold under one of the three existing lines — or get their own line once a real case closes. Not before.

Positioning in one line. We don't sell a product — we sell scoped buildouts across three lines: Chief of Staff, Ops, and Data & Intelligence. One firm, private intake, pricing discussed in discovery only. Not a menu — a practice.

02 · Principals

Curtis
Operator · managing partner
  • Delivery lead, tech architecture, infrastructure
  • Hiring, firing, managing engineers
  • Always on the relationship for Lambo-tier clients
  • Approves signups, sets roadmap
  • Default rainmaker for inbound / referred clients
Justine
Rainmaker · client zero
  • Primary origination via Edmonton and extended network
  • Client zero (first Test Drive runs on her own workflows)
  • Owns the discovery conversation for her prospects
  • Numbered company + ATB business account: to be set up by Justine
  • Three friends already waiting for her referral
Josh
Rainmaker · enterprise-adjacent
  • Origination via his Protaea network
  • Owner of Protaea
  • Strategic corporate and political-adjacent opportunities
  • Feeds consulting clients gov/industry data slices from internal tooling he maintains, where it fits

03 · Target customer

Wealthy, well-connected, non-technical people whose time is worth far more than the service costs them. Their gap isn't a tool — it's a trusted person who handles the AI layer of their life.

Who they are

  • Net worth $5M+ (with real stretch capacity past $100M)
  • Business owners, partners at professional firms, family-office heads, successful operators
  • Already pay $200–500/hr for their lawyer and accountant without thinking about it
  • Chief of Staff at this level costs $167–400k/yr salary; we sit alongside that budget line
  • Value discretion and control more than cost savings

Who they are not

  • Anyone shopping a price page
  • SMB owners looking for a Zapier freelancer
  • Enterprise IT buyers — that's McKinsey or Slalom, not us
Reference for willingness-to-pay. Knightsbridge Circle's top concierge tier is $50k/yr. Sienna Charles starts at $75k/yr. A single-family-office outsource is ~$1M/yr all-in. Our Lambo tier at its top end approaches that mid-market.

04 · Positioning

Premium AI boutiques (AE Studio, Artefact, QuantumBlack, Palantir) publish no pricing, no public tiers, no form submissions. Only down-market firms do. We copy the premium pattern.

The phrase

"AI Chief of Staff" — we use a role name the clientele already pays for (typically $167–400k/yr for a human chief of staff) as the reference anchor. The word "AI" appears later in the conversation, if at all.

Language rules

UseDon't use
Engagement, retainer, practice, partnerSubscription, plan, tier (in marketing)
Layer in, extend, continue, grew into a partnershipUpgrade, upsell
Test DriveTrial, pilot, starter
DiscoveryDemo, sales call, pitch
Chief of StaffTool, software, platform, app
Private, referral-basedApply now, get a quote, book a demo

Sales principles

  • Doctor, not pharmacist. We diagnose first, prescribe second. Sometimes the right answer is a $30 SaaS we recommend without selling a build. Honesty in the wealthy-network referral chain compounds; over-selling poisons it.
  • Minimum AI possible. When a problem is solved by a non-AI automation or an existing tool, we say so. Reinforces that we're an outcome firm, not a tech-reseller.
  • "You don't have a lead problem — you have a follow-up problem." Punchy reframe for any business owner complaining about pipeline or ad spend. Sets up the Voice Agent conversation.
  • Strategic advisory beats tool reselling. The margin is in picking the right configuration for the client, not in being the tool. Confirmed across every serious firm we've studied.

Marketing posture

  • No public price page. Ever. Pricing lives in private discovery.
  • Case studies name outcomes, never dollar figures. "Reclaimed 12 hours a week," not "$75k saved."
  • "We take on 4 new clients per quarter." Scarcity signal that's currently accurate.
  • Intake is referral-gated. No form submissions, no "book a demo."
  • Tier names are internal shorthand. Justine says "you'd be a Lambo client" at dinner; we never write it down for a prospect.

05 · Engagements

We are a project firm with a redeployable parts library and a small junior-labor delivery team. Most engagements are bounded projects with a support tail; retainers exist as an option for clients who specifically want one. All names below are internal shorthand — the prospect sees a custom scope, not a menu.

The product line

Engagement Anchor Who it's for Shape
Quick Setup $1,500 flat Direct referrals — friend/network entry point 3–5 hrs build, ~1 week, 30-day soak included
AI Audit $2,500–5,000 Prospect who wants a written diagnosis before any build 1–2 weeks, written deliverable, fee credits to next engagement
Test Drive $15,000 ($12.5–18k) Any new prospect ready for one workflow live 3–4 weeks, one workflow shipped + 30-day soak
Family / Estate Operating System $25,000–35,000 Wealthy individual/family who's done a first engagement and wants their whole life on it 5–7 weeks, 6–8 skills, 60-day support included
Voice Agent / AI Receptionist $8,000–15,000 SMB-owning client losing money to slow follow-up 2–3 weeks setup, optional light monthly
Onsite Workshop $5,000–10,000 Client whose team needs to be trained on Claude / Cowork / MCPs ½ day to 1 day on-site or remote
Content-Ingest Skill $1,500–3,000 Existing client wanting a YouTube/podcast/RSS digester ~1 week, productized add-on
Custom project build $10,000–75,000 Client who wants a discrete custom thing built Per scope
Retainer (Daily / Weekend / Lambo) $4,000–25,000+/mo Client who specifically wants embedded continuous capacity (not modal) Month-to-month or 6-mo min
Support tail $1,500–2,500 flat or $250–400/incident Post-build support for any major engagement 30/60/90-day windows or per-incident
Hardware deployment Hardware + 30–50% markup + setup time Local AI compute for privacy-sensitive workflows Per deployment

The Test Drive specification

Price
$15,000 CAD flat (scope-adjustable $12.5–18k)
Duration
3–4 weeks from kickoff
Deliverable
One named workflow live and in daily use by the client
Typical first wins
Morning email triage, meeting-brief generator, voice-matched draft assistant, call-to-action extractor
Inclusions
Discovery (60–90 min) with anti-to-do list, data-privacy conversation framed against the progressive trust spectrum, build + test + install, training session, 30-day soak
Lock-in mechanic
If the client signs any next engagement within 30 days of Test Drive completion, the $15k credits 100% toward it (Family/Estate OS, custom build, or retainer first month)

Family / Estate Operating System — the upsell after a first win

This is not a gateway product. The path is: client does a first engagement (Quick Setup, AI Audit, Test Drive, or single project) → feels one win → Justine or Curtis raises Family/Estate OS as the natural next step → scoped at $25–35k for 5–7 weeks of work.

Includes a pre-built skill set covering travel/concierge research, household-staff coordination, philanthropy and charity admin, unified family calendar across 3–4 separate calendars, voice-matched personal correspondence, and receipt/expense capture. 60-day post-build support window included. After that, growth happens through $2–5k add-ons, not a monthly retainer — Family/Estate clients have just paid $25–35k and won't double-pay for ongoing service.

Why $25–35k is the right band: wealthy clients are more allergic to feeling like they got the starter version than to a high price tag. Replaces or augments a personal assistant ($80–150k/yr salary). Same psychology as the existing "chief of staff at $167–400k/yr" anchor, operationalized for family/personal life rather than business life.

$35k applies when multiple businesses interleave with family life, MFA-heavy estate stack with complex authentication, second principal involved (spouse with their own correspondence/calendar), or on-prem privacy requirements (local AI box typically separate).

Retainers — for clients who specifically want one

Some clients do want a retainer — workaholic operators, family offices that want a true on-call team, business owners who treat us as a permanent line item. For them, three retainer tiers stay on the books. This is not the modal engagement — we don't lead with retainer in proposals. Path into retainer: prospect specifically asks for one, OR post-build add-on volume justifies consolidating.

Tier Monthly range Embedded capacity Response SLA Touchpoints
Daily $4,000 – $6,000 3–5 hrs / mo blended 72 hrs Monthly 30-min call
Weekend $9,000 – $15,000 8–12 hrs / mo blended 24 hrs Bi-weekly 45-min call, quarterly strategy
Lambo $15,000+ (uncapped) 20–30 hrs / mo (flex up) Same day Weekly 1h, quarterly on-site, monthly strategy

Framing rule: a retainer is continuous access, not a subscription. Build-heavy months run hot, tune-and-respond months run light, the monthly fee smooths it. If a client starts counting hours, we've positioned this wrong.

Support tails after any major build

Wealthy clients don't want to keep paying once the work feels done. A retainer feels like a tax; a support tail with a clear endpoint feels like service. Post-build motion for Test Drive / Family-Estate / Voice Agent / custom projects:

  • 30-day soak — included in any build over $5k. Bug fixes, broken connectors, small tweaks.
  • 60-day support — included in Family/Estate OS price.
  • 90-day extended care — optional, $1,500–2,500 flat.
  • Per-incident — $250–400 per fix after all soak windows close.
  • Add-on builds — $2,000–5,000 each, scoped à la carte. New skill, new automation, new connector.

Most Family/Estate clients add 2–4 things per year at $2–5k each — that's $4–20k/yr in expansion without the client ever feeling overcharged. This is the right shape for our buyer.

06 · Pricing & the Book of Redeployable Parts

Pricing only makes sense paired with the model behind it: a small partner-led firm with a junior-labor delivery layer, leveraging a shared library that compounds with every engagement. The Book of Redeployable Parts is the actual moat — and the reason moderate prices produce strong margin.

The Book of Redeployable Parts

Every productized engagement contributes a skill, a connector pattern, a prompt template, an install script, or a context map to a shared internal library. Build #1 is full price + full hours. Build #2 onward reuses the library:

Engagement First build hours Library-assisted hours Effective price/hr lift
Family/Estate Operating System40–7025–35~75%
Voice Agent / AI Receptionist15–256–10~150%
Content-Ingest Skill (per skill)6–102–4~200%
Quick Setup3–52–3~50%
Test Drive15–2510–18~50%

Margin compounds. Prices stay anchored. We never lower a price because we got faster — faster delivery is our margin, earned from doing the work to standardize it. Clients pay for the standardized result, not the time it took.

Labor model — two rails plus the library

  • Curtis (partner labor) — discovery, scoping, complex builds, handoff, anything that touches a wealthy principal directly. Internal rate floor: $500/hr. Never quoted externally.
  • Junior delivery (NAIT hires, 4–6 month rolling) — standardized work pulled from the parts library, build execution, testing, install support. Wage $35–45/hr (~$50–55/hr fully loaded). First hires happen after the first 2–3 paid client engagements — Curtis runs them solo to prove the parts library, then scales delivery capacity.
  • The library — every productized engagement adds to it; every subsequent engagement of the same shape benefits.

Margin math at build #2+ (the steady-state shape)

Engagement Price Curtis hrs Junior hrs Internal cost Gross margin Margin %
Quick Setup $1,500 1 2–3 $610–665 $835–890 ~55–60%
AI Audit $3,500 6–10 0 $3,000–5,000 $0–500 ~0–15%
Test Drive $15,000 6–10 8–12 $3,440–5,660 $9,340–11,560 ~62–77%
Family/Estate OS $25,000 8–12 17–23 $4,935–7,265 $17,735–20,065 ~71–80%
Family/Estate OS (high) $35,000 8–12 17–23 $4,935–7,265 $27,735–30,065 ~79–86%
Voice Agent $10,000 3–5 3–5 $1,665–2,775 $7,225–8,335 ~72–83%
Content-Ingest Skill $2,500 1–2 1–2 $555–1,110 $1,390–1,945 ~56–78%
Onsite Workshop $7,500 6–10 0 $3,000–5,000 $2,500–4,500 ~33–60%

AI Audit margin is intentionally tight — it's a paid filtering tool. Tells us whether the prospect is real, gives us deep context for the next engagement, pre-sells at full margin. Most audits convert into a Test Drive or larger build within 60 days at full margin (audit fee credits in full).

Quick Setup margin is intentionally moderate — Curtis can't fully step out of any client interaction even on small jobs. The chain math (below) shows why we run it anyway.

The chain math — why cheap entry products are worth running

A single Quick Setup that converts is worth far more than its $1,500 sticker. Worked example, conservative assumptions:

Step Conversion Expected contribution per Quick Setup
$1,500 Quick Setup (~55% margin = $870)$870
30% convert to $15k Test Drive (~70% margin = $10,500)30%$3,150
40% of TDs convert to $25k Family/Estate OS (~75% margin = $18,750)12% of QS$2,250
3 add-ons/yr × $3k × 75% margin × 3 yrs = $20,250same 12%$2,430
1 referral per happy F/E client at the same chain~doubles the above+$5–8k
Expected lifetime contribution per Quick Setup$5–10k+

The margin per Quick Setup is small. The chain is the business. This is why we run a $1,500 product at all — and why every productized engagement has a clear converted-next-step that builds on the parts library.

Hardware — markup + setup time

We source, prep, configure, and deploy AI compute for clients who want local inference or on-prem privacy. Hardware cost + 30–50% markup (our sourcing margin) + setup time billed per scope. Typical deployments: small AI box on the desk (Mac mini or equivalent), workstation with GPU for local LLMs / vector databases, or whatever the stack needs.

What we don't install ourselves (but recommend trusted vendors for): camera systems, network wiring, structured cabling, smart home integration, ISP/tenant admin, printer fleets.

The pricing-rationale conversation — for clients who push back

  • Compared to a personal assistant ($80–150k/yr): the same outcome at a fraction of the cost, with no hiring risk or turnover. The most common pricing anchor for our wealthy buyer.
  • Compared to a chief of staff ($167–400k/yr): same anchor, business-side. Use this for SMB-owners.
  • Cash flow / risk reframe: "Revenue minus costs is the obvious lens. The underrated lens is cash flow over risk. Some AI tools increase cash flow but also increase risk — we focus on the ones that reduce risk in your operations while improving throughput. That's what makes a system worth paying for." Particularly effective with family-office and risk-averse buyers.
  • 10x ROI in 12 months: internal sanity check. If a build can't plausibly return 10× its price within a year (in time saved, revenue captured, or risk reduced), scope down or change the project.

07 · Engagement flow

Referral in. Private discovery. Scoped written proposal. First engagement. Support tail. Add-ons over time. Retainer only if the client specifically asks for it.

  1. Referral or introduction. Justine or Josh mentions us in conversation, describes the outcome (not the tool), lets curiosity build, asks if the prospect wants a private intro.
  2. 30-min intro call with Curtis. No pitch — just listening. We're deciding whether there's a fit. They're deciding whether we're serious.
  3. Discovery conversation (45 min). Run the intake — understand their stack and pain surface. Includes the anti-to-do list exercise (every task they never want to manually do again becomes a candidate skill) and the progressive trust conversation (Drafts → Read-only → Confirm-to-act → Autonomous; most clients live in stages 1–2 for the first six months). Sales AND interviewing at the same time.
  4. Written proposal. One scoped engagement (Quick Setup, AI Audit, Test Drive, Family/Estate OS, Voice Agent, or custom build) + fixed price, delivered in one page within 24h of the discovery.
  5. First engagement. Build, install, train, soak. Client is using the deliverable in daily use before we step back.
  6. Decision point. Most clients enter the support-tail motion: 30/60-day soak included, optional 90-day extended care, then per-incident or add-on builds as needs emerge. Retainer only if they specifically ask. Some clients choose clean exit and become referral sources — they keep the automation either way.
  7. Layered-in growth. New skills, automations, connectors, hardware installs, strategy work — quoted as scoped add-ons ($2–5k each). For clients who've done a basic engagement, Family/Estate OS is the natural next step ($25–35k for 5–7 weeks).
  8. Retainer (optional path). If the client's add-on volume justifies it, or they specifically want one, consolidate into Daily / Weekend / Lambo. The AE (once we have them) or Curtis takes ownership.

Fee-credit-on-conversion

Borrowed from Concierge Studio, the firm structurally closest to ours. Test Drive (and Quick Setup, and AI Audit) fees apply 100% against the next engagement if signed within 60 days. De-risks the entry without cheapening the price.

Language to borrow. Palantir says "layered in." AE Studio says "grew into a partnership." Nobody at the premium end says "upgrade."

08 · Growth loop

Curtis solo for the first 2–3 paid clients to prove the parts library on real engagements. Then hire NAIT juniors on rolling 4–6 month placements as a delivery layer. Curtis stays on discovery, scoping, and any work that touches a wealthy principal directly. The library compounds; junior delivery scales.

Phase 1 — Curtis solo (first 2–3 paid clients)

  • Curtis runs every engagement end-to-end. The point isn't capacity — it's building the parts library against real clients.
  • Every productized engagement (Quick Setup, Test Drive, Voice Agent, Content-Ingest, Family/Estate OS) ships a reusable skill, connector pattern, prompt template, or install script back to the library.
  • By client #3, build #2 of any given product type is already library-assisted. Hours start dropping.
  • First-year revenue per client (mixed mix of Quick Setup, Test Drive, occasional Family/Estate OS, plus add-ons): expected $15–40k/client blended.

Phase 2 — first NAIT hire (after the first 2–3 clients land)

  • Hire trigger: parts library proven on 2–3 clients AND Curtis is at his solo time-ceiling.
  • NAIT junior on a 4–6 month placement, 20 hrs/week to start, scaling toward 40. Wage $35–45/hr (~$50–55/hr fully loaded).
  • Junior owns standardized productized delivery: Quick Setup builds from SOP, Test Drive workflow execution, Voice Agent configuration, Content-Ingest skills, Family/Estate OS skill-building under Curtis's scoping.
  • Curtis stays on: discovery, scoping, voice tuning, install, anything client-facing on a wealthy principal, audit deliverables, complex custom builds.

Curtis to confirm. The funding math below was rewritten from MRR-driven to project-driven during the 2026-05-01 sweep. Numbers are derived from the rate-card hours/margin tables — directionally honest but not yet sanity-checked against your real cost structure (rent, software, taxes, founder draws). Worth a sit-down to red-line before treating these as planning numbers.

Funding math (project-driven, not retainer-driven)

  • One Family/Estate OS at $25k library-assisted = ~$18–20k contribution margin (build #2+).
  • One Test Drive at $15k library-assisted = ~$9–11k contribution margin.
  • One NAIT junior at 20 hrs/wk = ~$1,000–1,200/wk loaded cost = ~$4,500–5,500/mo.
  • One Family/Estate OS funds ~3–4 months of one junior's capacity. Even one Test Drive funds ~2 months. Junior layer is self-funding from the second productized engagement onward.
  • Add-on revenue layered on top: most served clients add 2–4 things/yr at $2–5k each, with junior delivery handling most of the build.

Capacity ceilings

  • Curtis solo: ~8–12 productized engagements/yr before burnout (more if mostly Quick Setup; fewer if mostly Family/Estate OS).
  • Curtis + 1 junior at 30 hrs/wk: capacity roughly doubles for productized work, leaving Curtis the partner-level conversations.
  • Curtis + 2 juniors: ~25–35 productized engagements/yr plus a steady stream of add-on builds.
  • Family/Estate OS and any custom build with a wealthy principal always require Curtis directly; juniors assist on the build side but don't own client relationship.
  • Retainer clients (when they happen) are an exception: Curtis owns Lambo, AEs (post-junior, eventually) take Daily/Weekend.

Land-and-expand within wealthy-network accounts

The other half of growth — beside new logos — is expansion within a single principal's orbit. Wealthy clients live in webs: family office, operating company, foundation, household staff, spouse's separate businesses. A first engagement that lands well is rarely the last engagement; it's the first foothold.

The expansion pattern, named so we deliberately look for it:

  1. First foothold. Quick Setup, AI Audit, or Test Drive on the principal directly. Lands one win, builds trust.
  2. Adjacent role. Spouse, EA, Chief of Staff, or board secretary asks to be set up next. Often surfaced organically as the principal talks about us at home or at work.
  3. Adjacent function. Foundation administrator, family-office controller, or operating-company ops lead — same firm, different department, different problem set, often a custom build or Family/Estate OS scope.
  4. Adjacent entity. Principal mentions us to their business partner, a friend at another family office, a board peer. New first foothold, same chain plays again.

This is not cold expansion — every step is referral-warm because the principal vouches. The growth ceiling per relationship is high: a single $1,500 Quick Setup landing well at the right family office can compound into $50–150k of work over 2–3 years across spouse, foundation, ops, and board correspondence. Justine and Josh should explicitly listen for adjacent-role and adjacent-entity openings during regular conversation with current clients. The opening usually appears casually and gets missed without a deliberate ear for it.

Why this growth shape is also an exit-value strategy. Research on AI-firm acquisitions 2024–2026 (Accenture × Aidemy/Decho/NeuraFlash, IBM × Hakkoda, Cinven × Artefact at ~5.7× revenue, Distyl AI $1.8B in 3 years) shows acquirers pay for trained delivery headcount and a documented body of work that operates independently of founders. Founder-dependency is the single biggest multiple drag. Every junior who's built three Quick Setups + two Test Drives + one Family/Estate OS from the library is delivery capacity that doesn't require Curtis. The Book of Redeployable Parts plus trained junior delivery is what an acquirer is buying. The Forward-Deployed Engineer model Palantir pioneered is the through-line — our juniors graduate into AE/FDE roles as they prove out.

09 · Talent strategy

Our budget ($30–40/hr CAD, $62–83k FT) doesn't land CS PhDs or FAANG engineers — and we don't need them. Research shows the best-fit archetype is not what most consulting firms hire.

Section needs reconciliation with §08. The 2026-05-01 sweep reframed §08 around NAIT junior hires on rolling 4–6 month placements as the default delivery layer. This section still describes ex-EAs, U-of-A co-ops, CS grads, bootcamp grads, and industry switchers as the hiring funnel — which is broader and not wrong, but the priority order and the "lead first-hire archetype" bit need to align with the new model. Worth a pass after Curtis decides whether NAIT is the actual default first hire, or whether the original ex-EA archetype still leads.

Who we hire

ProfileWhy they work
Lead first-hire archetype: ex-executive assistants / Chief of Staff pivoting to AI Research-validated best fit. Comp band matches ours ($65–95k). Domain intuition for serving UHNW principals is already trained. Active retraining ecosystem (Chief of AI Fellowship, Chief of Staff Network). Only need AI fluency — we train on stack.
U of Alberta CS / data science co-op students Best second-hire channel. 4-mo placements at $17–25/hr. Convert to FT. Edmonton-local, motivated.
Recent CS / data grads (0–2 years) $63–80k Edmonton market rate. Hungry, trainable on our stack.
Bootcamp graduates (BrainStation, portfolio required) Cheaper than CS grads. Faster to ship. Need client-facing polish. (Note: Lighthouse Labs closed Aug 2025.)
Industry switchers from IT / analytics / product Mid-career, tired of current role, want AI work. Often strong hires — client-facing maturity already baked in.

Required skills from day one

  • Python (Flask, APScheduler — our stack)
  • OAuth + Google Workspace APIs
  • Claude API + MCP server basics
  • SQLite / basic data modeling
  • Non-negotiable: client-facing composure with UHNW clients. Technical gaps we train in 3 months. Social skills we can't.

First-hire triggers and structure

  • Hire trigger: $15–20k MRR (first 3 clients retained)
  • Base: $72k/yr CAD (~$35/hr at 2,000h)
  • Bonus: 10% of retained-client revenue they directly service, paid quarterly
  • W2 employee (not contractor) — trust signal for top-tier clients
  • Benefits: basic health + dental
  • Equity: none initially; phantom equity / profit share possible Year 2+

10 · Competitor map

A reference for the three of us and future employees. Full detail in the research archive; summary here.

FirmEntry engagementWhat we learn
AE Studio No public prices; scoped engagements Case-study-only marketing. Language: "grew into a partnership."
Artefact No public prices Leads with "data transformation" not "AI." CEO-palatable framing.
Slalom AI practice ~$30–50k AI-readiness assessment MSA structure, enterprise scope. Not directly comparable but positioning is instructive.
QuantumBlack (McKinsey) $2–5M engagements Pure engagement model. No tiers, no hook — brand + partner relationships bring work.
BCG Gamma · Bain Vector Similar to QuantumBlack Same playbook. We are not them — yet.
Palantir Forward-Deployed Engineer Enterprise-scale embedded work, 3–6 months Exact model for our future AE hires. Language: "layered in."
Concierge Studio Tiered published: Essentials / Professional / Sovereign Structurally closest to us. Uses fee-credit-on-upgrade. We adopt this mechanic.
Knightsbridge Circle $50k/yr top tier (non-AI concierge) Reference anchor for UHNW willingness-to-pay.
Sienna Charles $75k/yr starter (non-AI concierge) Same reference.
Single-family-office outsource ~$1M/yr all-in Lambo tier at highest end approaches this.

The pattern we're copying

  1. Named tier ladders are a down-market tell → tiers stay internal only
  2. Entry engagement is paid, fixed-price, 2–3 weeks → our Test Drive matches
  3. Project is the unit of sale; retainer emerges retroactively → don't lead with retainer
  4. Upsells called "layered in" → adopted in language rules
  5. Case studies publish outcomes, never dollar figures → adopted
  6. Intake is referral-gated or discovery-call-gated → adopted

11 · Execution

Done

  • Rate card v4 — productized engagements with margin math (internal, not for prospects)
  • Full business plan with Book of Redeployable Parts as load-bearing concept
  • Four research files: Gmail multi-account options, pricing benchmarks, boutique packaging, firm valuation + hiring
  • YouTube-derived patterns synthesized into the plan (`research/youtube-lessons.md`)
  • Path B spec + first implementation plan drafted
  • This plan site live at hq.curtishall.ca
  • Passcodes rotated fresh for the three founders
  • Justine's personal Cowork + Gmail/Calendar setup live (case study #1 in progress)
  • Numbered Alberta company incorporated; ATB business account opened

Active

  • Justine in active discovery conversations with first wave of prospects
  • Test Drive runbook + delivery SOP fully written (`hq-site/docs/test-drive-runbook.md`, `test-drive-delivery.md`)
  • Anti-to-do list intake artifact + progressive trust framing baked into discovery script

Milestones

Curtis to add target dates. Previous milestones were dated (M1 = 2026-05-15, etc.) but those dates were 6 weeks ago and stale, so the 2026-05-01 sweep replaced them with sequence-based milestones. If we want planning dates back, Curtis to fill in based on current pipeline reality.

  • M0: Plan v3 shipped. Productized engagements live. Incorp + banking complete.
  • M1: First two paying clients delivered (Curtis solo). Parts library seeded with first reusable skills.
  • M2: Third client delivered. Library is now reusable across at least 2 productized engagement types. NAIT junior hire trigger — Curtis at solo time-ceiling.
  • M3: First NAIT junior onboarded (20 hrs/wk). Junior shadowing Curtis on first builds, then taking over standardized delivery from SOP.
  • M4: Junior at 30–40 hrs/wk. Curtis back to mostly discovery + scoping + complex builds. First Family/Estate OS engagement landed (build #2 of the engagement type, library-assisted).
  • M5: Steady-state on first cohort: 6–10 active client relationships in support-tail mode, regular add-on flow, second junior hire triggered.
  • M6: 12+ clients across mixed engagement types. AE/FDE-track promotion conversation for the first junior. Acquisition-readiness checks against the exit-value criteria.

12 · Open questions

Decisions for the three of us. Drop comments under this section — or under any specific section — as you think through them.

  1. Firm brand name. Currently unnamed. Options to ideate: Lantern, Atlas, Meridian, Signal, Concierge [X], something Curtis/Justine/Josh land on. Needed before first written proposal goes out.
  2. Final ownership structure at incorporation. Under discussion on the Shareholders tab — see the current draft of the three-pots model + equity split options there.
  3. Liability insurance level. What coverage do we need before touching UHNW inboxes? Get legal input before client #1 signs.
  4. Contract templates. Test Drive agreement, retainer agreement, NDA — all TBD. Priority before the first signed engagement.
  5. Referral credit for existing clients. If a Weekend client refers a Lambo client, do they get a credit? Industry-standard: 1 month free for successful intro.
  6. Case study publication permissions. When and how do we get sign-off from Justine and first paying client to publish anonymized wins?
  7. Marketing posture. Bare-minimum referral-only site vs. small content presence (case studies without dollar figures). UHNW clients value discretion; "barely a site" may be more prestigious than a built-out one.
  8. Exclusivity of Justine and Josh. Is this their priority, or parallel to other sales / consulting commitments? Affects how we set expectations on throughput.
  9. Justine's first month. Free pilot as client zero, or standard pricing with a discount? Recommendation: free 30-day pilot for her only (client zero investment), standard for every referred friend.
Next step. The three of us sit down within two weeks to walk this doc end-to-end, resolve the open questions, and sign off on v2.1.