420 lines
38 KiB
HTML
420 lines
38 KiB
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<div class="wrap">
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<header class="top">
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<div>
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<div class="brand"><span class="spark"></span>Donna</div>
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<div class="doc-kind">Business Plan · NEWT by Fibernetics</div>
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</div>
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<div class="links">
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<span class="pill"><span class="dot"></span>Beta live</span>
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<a class="pill" href="https://donna-newt.mosaic.site">Executive site</a>
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<a class="pill" href="https://donna-for-eas.mosaic.site">EA site</a>
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<a class="pill" href="https://donna-desk.mosaic.site">Desk app</a>
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<a class="pill" href="https://zoe-pitches.mosaic.site/donna/Donna-Business-Plan.pdf">PDF ↓</a>
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</div>
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</header>
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<h1 class="hero">The AI employee a person <span class="em">stands behind</span>.</h1>
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<p class="standfirst">Every company wants AI agents. Almost none can operationalise them — because nobody owns the output. Donna sells the missing layer: agent-speed work with a named human's signature on every outcome, built by a 15-year executive assistant and operated by a Canadian carrier. The wedge is an EA seat. The endgame is the trust layer for the agentic workforce.</p>
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<p class="metaline">PREPARED FOR FIBERNETICS / NEWT LEADERSHIP · SEPTEMBER 2026 · CONFIDENTIAL · MARKET & FINANCIAL FIGURES ARE ILLUSTRATIVE PLANNING ASSUMPTIONS</p>
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<!-- 1 · EXECUTIVE SUMMARY -->
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<section id="exec">
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<div class="kicker">01 · Executive summary</div>
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<h2>Supervision is the product.</h2>
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<p class="lead">Gartner forecasts that 40% of agentic-AI projects will be scrapped by 2027 — not because models fail, but because organisations can't govern them. Meanwhile a senior executive assistant costs $120–162K CAD loaded and there aren't enough of them. Donna closes both gaps at once: an AI agent that drafts at machine speed, inside an operating model where a trained person reads everything before it ships under a customer's name.</p>
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<p>We are not building a better model. We are productising the thing Fibernetics has actually done for fifteen years: run business-critical operations that other companies bet their day on, with a person accountable when it matters. Two engines drive the business:</p>
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<ul>
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<li><b>The Desk (revenue now):</b> supervised executive seats at <b>$1,500 CAD/month</b> — Donna drafts, a NEWT-staffed reviewer signs, the customer approves only where they set the line. Live in beta today with a published price and a 5-seat capacity cap.</li>
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<li><b>The Platform (scale):</b> the reviewer dashboard itself, sold as software to the world's ~2M executive assistants — each EA becomes the accountable human for their own fleet of agents and carries 3× the executives. Free for EAs during beta; converts to a SaaS seat.</li>
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</ul>
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<p>The billion-dollar shape (illustrative): ~$100M ARR at a software multiple — roughly 4,000 supervised seats plus 25,000 EA platform seats — reached by expanding from the EA agent into a roster (Finance, Support, Voice) on the same supervised-desk substrate, distributed through Fibernetics' existing carrier and VAR channels.</p>
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<div class="stats">
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<div><div class="k">2</div><div class="m">Products live in beta</div></div>
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<div><div class="k g tnum">$1,500</div><div class="m">CAD / seat / mo · published</div></div>
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<div><div class="k tnum">15 yrs</div><div class="m">EA craft encoded</div></div>
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<div><div class="k g tnum">$100M</div><div class="m">ARR target · illustrative</div></div>
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</div>
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</section>
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<!-- 2 · COMPANY -->
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<section id="company">
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<div class="kicker">02 · Company & product overview</div>
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<h2>NEWT's first AI employee.</h2>
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<p><b>Mission:</b> make agentic AI usable by real businesses by attaching a named, accountable human to every outcome.</p>
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<p><b>What it is:</b> Donna is an AI executive assistant personified on Dawn Gamble — a real senior EA of fifteen years at Fibernetics — and operated under her review. She runs calendars, inboxes, travel, meeting prep and follow-ups. Nothing she produces reaches another human until a person has read it. Donna ships under <b>NEWT</b>, the business division of Fibernetics, a Canadian carrier running business voice and network since 2011.</p>
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<p><b>Stage:</b> live early beta. Two marketing sites are deployed with a working application pipeline; pricing is published; the first five supervised seats are open; the reviewer dashboard — <a href="https://donna-desk.mosaic.site">Donna Desk</a> — is live and built out well past MVP, encoding the operating desk Dawn already runs.</p>
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<div class="cards">
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<div class="card"><div class="lab">Origin</div><h4>Born from a working desk</h4><p>The blueprint is Abby — the agent Zoe built that automates a real controller's finance reporting, document pipelines and website upkeep, cutting hours of manual work to minutes. Donna generalises that pattern to the executive desk.</p></div>
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<div class="card"><div class="lab">Positioning</div><h4>AI-enhanced human</h4><p>Clients trust a person, not a model. The visible face is a trusted EA; the AI turbocharges her output. Marketing never says "replace your EA" — it says one assistant now covers three desks.</p></div>
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<div class="card"><div class="lab">Parent</div><h4>Carrier, not startup</h4><p>Phone systems, business internet and virtual receptionists already run on Fibernetics infrastructure daily. Donna inherits the operating discipline, the brand and the customer base.</p></div>
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</div>
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</section>
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<!-- 3 · PROBLEM / SOLUTION -->
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<section id="problem">
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<div class="kicker">03 · Problem & solution</div>
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<h2>An assistant they can't hire. An agent they can't trust.</h2>
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<div class="cards two">
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<div class="card"><div class="lab g">The problem</div><h4>Both options fail</h4><p>Leaders lose ~18 hrs/week to admin. A senior EA costs $10–13.5K CAD/month loaded and takes months to find. Raw AI agents are instant and cheap — and one confidently wrong email under an executive's name ends the pilot. 40% of agentic projects will die on exactly this (Gartner).</p></div>
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<div class="card"><div class="lab">The solution</div><h4>Draft → review → release</h4><p>Donna drafts at agent speed. A named person at the NEWT desk reads everything outbound within 30 business-minutes. The customer approves only money, commitments and their own name. Every action is logged, attributable, reversible. Silence is a no.</p></div>
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</div>
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<p>The insight competitors keep missing: <b>supervision is not overhead to eliminate — it's the feature customers are actually buying.</b> The EA-facing version inverts the same product: the customer's own assistant becomes the reviewer, and Donna makes her the most capable person in the building instead of the most threatened.</p>
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</section>
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<!-- 4 · PRODUCT -->
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<section id="product">
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<div class="kicker">04 · Product & how it works</div>
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<h2>One agent, one desk, three authority tiers.</h2>
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<p>The customer draws the line once on an onboarding call; it never moves without them.</p>
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<div class="tiers">
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<div class="tier t1"><div class="tl">Tier 1 · Automatic</div><p>Reversible and internal: calendar moves, filing, triage, drafts into the drafts folder. Donna acts; the desk audits after the fact.</p></div>
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<div class="tier t2"><div class="tl">Tier 2 · Person-checked</div><p>Leaves the building but recoverable: external replies, scheduling with outsiders, chasing commitments. A named reviewer reads in full and sends, fixes, or escalates.</p></div>
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<div class="tier t3"><div class="tl">Tier 3 · Your signature</div><p>Money, promises, the customer's name: waits indefinitely for an explicit yes. No timeout, no default-approve.</p></div>
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</div>
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<h3>The Desk dashboard — the real product</h3>
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<p>What Dawn uses today becomes what we sell tomorrow: a single pane of glass where one reviewer runs many principals. Per-person buckets (email, calendar, tasks, notes, documents), a review queue ordered by risk tier, an insights page that surfaces patterns (missed sales calls, recurring requests) as proactive suggestions, and one-tap escalation to the principal. Channels meet people where they are: email and calendar natively, iMessage/SMS domestically, WhatsApp for international scale, Teams and call transcription next.</p>
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<h3>Architecture</h3>
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<ul>
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<li><b>Claude (Anthropic) + Mosaic</b> — frontier reasoning plus instant deploy of servers, sites and apps; the same stack shipped both beta sites and the live application pipeline in days, not months.</li>
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<li><b>Model failover</b> — automatic in-family fallback is live today (Opus → Sonnet on transient failure; a weaker model degrades polish, never safety — everything still passes review). Second-provider and local fallback land in the funded plan.</li>
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<li><b>Data residency</b> — customer content stays in the Fibernetics environment in Canada; scoped to connected mailboxes; not used to train general models; exported and removed on exit.</li>
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<li><b>No new portal for customers</b> — Donna works inside the email, calendar, phone and finance tools the customer already runs. The dashboard is for the reviewer.</li>
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</ul>
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<div class="callout"><div class="lab">Working today</div>
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<p>Live: both product sites, the six-question qualification quiz, published pricing, a verified application pipeline (form → database → notification email, tagged by seat) — and the <a href="https://donna-desk.mosaic.site">Desk dashboard</a>, well past MVP: risk-ordered review queue (high-stakes replies surface first, replies hard-locked to human review), AI triage of pasted or forwarded mail with voice-matched reply drafts and per-executive voice profiles, meeting-notes and contact extraction with source-quote receipts, follow-up chasing, a travel desk that assembles itineraries and preps re-books, expenses to claim-ready CSV, real calendar sync with protected focus blocks, the “Donna noticed” anticipation ledger, one-tap escalation to the principal, morning briefing emails, full activity record with compliance export, one-file data export, and universal ingest (Gmail/Outlook connectors, drag-anything drop, a watched desktop folder). Applications double as a workable CRM with Donna drafting the promised two-business-day reply for approval. Not yet live (and said so publicly): Finance, Support and Voice agents; deep OAuth write-back to Google/Microsoft calendars is in the funded plan.</p>
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</div>
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</section>
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<!-- 5 · MARKET -->
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<section id="market">
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||
<div class="kicker">05 · Market analysis</div>
|
||
<h2>A labour market priced for scarcity, meeting a software market priced for scale.</h2>
|
||
<p class="lead">All figures below are illustrative planning assumptions from published 2026 ranges, stated so they can be checked — not performance guarantees.</p>
|
||
<div class="stats">
|
||
<div><div class="k g tnum">~$150B</div><div class="m">NA exec/admin labour spend</div></div>
|
||
<div><div class="k tnum">~2M</div><div class="m">EAs & admin assistants, NA</div></div>
|
||
<div><div class="k g tnum">$47B</div><div class="m">Agentic-AI market by 2030 (est.)</div></div>
|
||
<div><div class="k tnum">40%</div><div class="m">Agentic projects scrapped by '27</div></div>
|
||
</div>
|
||
<ul>
|
||
<li><b>TAM — the work itself:</b> executive/administrative support labour in North America alone runs on the order of $150B/yr (≈2M roles × ~$75K average loaded cost). Donna monetises a slice of that work at a fraction of its labour price.</li>
|
||
<li><b>SAM — supervised seats + EA software:</b> SMB and mid-market executives without an EA (the NEWT customer profile) plus the ~2M EA population as software seats. Illustratively: 500K reachable executive seats × $18K/yr + 2M EA seats × ~$1.2K/yr ≈ a $11–12B serviceable pool.</li>
|
||
<li><b>SOM — the plan's horizon:</b> ~4,000 supervised seats and ~25,000 platform seats ≈ <b>$100M ARR</b> — under 1% of SAM.</li>
|
||
<li><b>Why now:</b> three-quarters of enterprises say they've adopted agentic AI; almost none have anything genuinely live. The distance between the two is supervision — a job that has to be staffed, trained and productised, which is an operations problem before it is a software problem. Carriers do operations.</li>
|
||
</ul>
|
||
</section>
|
||
|
||
<!-- 6 · CUSTOMERS -->
|
||
<section id="customers">
|
||
<div class="kicker">06 · Target customers</div>
|
||
<h2>Who buys, who uses, who spreads it.</h2>
|
||
<div class="cards">
|
||
<div class="card"><div class="lab">Buys first</div><h4>The exec who can't hire</h4><p>SMB founders and executives (the Jordan-at-Delta-Air profile): drowning in admin, can't justify or find a $130K EA, burned or scared by raw AI. Buys the supervised seat.</p></div>
|
||
<div class="card"><div class="lab">Uses & champions</div><h4>The overloaded EA</h4><p>Supports more principals than the role was scoped for. Gets Donna free in beta, becomes the reviewer, covers 3+ execs — and becomes the product's evangelist instead of its victim. Converts to a paid software seat.</p></div>
|
||
<div class="card"><div class="lab">Distributes</div><h4>Channel partners</h4><p>VARs already selling NEWT phone systems experience Donna internally, then resell her to their book. International reach follows WhatsApp, where numbers don't gate by country.</p></div>
|
||
</div>
|
||
</section>
|
||
|
||
<!-- 7 · COMPETITION -->
|
||
<section id="competition">
|
||
<div class="kicker">07 · Competitive analysis</div>
|
||
<h2>Everyone else sells the model. We sell the signature.</h2>
|
||
<div class="tablewrap"><table>
|
||
<tr><th></th><th>Human review built in</th><th>Named accountable person</th><th>Runs in your tools</th><th>Price shape</th><th>Weakness Donna exploits</th></tr>
|
||
<tr><td>Donna (NEWT)</td><td><span class="yes">Yes — core design</span></td><td><span class="yes">Yes, you meet her</span></td><td><span class="yes">Yes</span></td><td>$1,500 CAD/seat/mo · EA seat SaaS</td><td>—</td></tr>
|
||
<tr><td>Autonomous AI EAs (Lindy, Martin, Ohai)</td><td><span class="no">No — autonomous by design</span></td><td><span class="no">No</span></td><td><span class="part">Partial</span></td><td>$30–500/mo</td><td>One wrong email under your name ends the pilot; no one owns the output</td></tr>
|
||
<tr><td>AI email tools (Fyxer, Superhuman AI)</td><td><span class="no">You are the reviewer</span></td><td><span class="no">No</span></td><td><span class="yes">Yes</span></td><td>$30–90/mo</td><td>Moves the reading to your evening instead of removing it</td></tr>
|
||
<tr><td>Suite copilots (Microsoft Copilot, Gemini)</td><td><span class="no">You are the reviewer</span></td><td><span class="no">No</span></td><td><span class="yes">Native</span></td><td>$20–40/user/mo</td><td>Generic; no service, no accountability, no desk</td></tr>
|
||
<tr><td>Human VA services (Belay, Time etc, Athena)</td><td><span class="yes">Human does the work</span></td><td><span class="part">Rota / offshore</span></td><td><span class="yes">Yes</span></td><td>$1,600–3,400+/mo part-time</td><td>Human speed at human cost; one set of hands; vacations</td></tr>
|
||
<tr><td>Hiring a senior EA</td><td><span class="yes">N/A</span></td><td><span class="yes">Yes</span></td><td><span class="yes">Yes</span></td><td>$10–13.5K/mo loaded</td><td>Can't hire them fast enough; single point of failure</td></tr>
|
||
</table></div>
|
||
<h3>The moat, honestly</h3>
|
||
<ul>
|
||
<li><b>The reviewer network + correction loop.</b> Corrections don't go into a ticket queue — the reviewer is the designer, so a correction changes the product that week. Every supervised seat compounds a proprietary dataset of "what good judgment looks like" that model vendors don't have.</li>
|
||
<li><b>The EA flywheel.</b> Every other vendor threatens EAs; we arm them. The free assistant seat recruits the exact population that (a) buys software seats, (b) staffs our desk as we scale, and (c) sits between every vendor and every executive inbox as gatekeeper.</li>
|
||
<li><b>Carrier trust + channel.</b> Fifteen years of business-critical uptime, data in Canada, one accountable throat — plus an installed base and VAR network no agent startup can rent.</li>
|
||
<li><b>Switching cost.</b> Connected mailboxes, calendars, tone models and authority tables make seat N+1 cheaper for us and leaving costlier for them.</li>
|
||
</ul>
|
||
</section>
|
||
|
||
<!-- 8 · GTM -->
|
||
<section id="gtm">
|
||
<div class="kicker">08 · Go-to-market</div>
|
||
<h2>Concentric circles, each one funding the next.</h2>
|
||
<ul>
|
||
<li><b>Circle 0 — the 5-seat beta (now).</b> Local, friendly businesses within ~100 km for in-person support; warm leads first. Free during beta, published $1,500 price, capacity cap stated plainly. The intake pipeline is live and tags applicants by seat.</li>
|
||
<li><b>Circle 1 — VARs as customers (Q1'27).</b> Resellers of NEWT phone systems get seats before they sell them — the demo is their own desk. Their book of SMBs becomes the first paid cohort.</li>
|
||
<li><b>Circle 2 — the EA community (rolling).</b> donna-for-eas is the acquisition engine: free assistant seats, a written "pitch your exec" note in the product, and the only vendor message in the category that EAs can forward without fearing for their job. EAs pull Donna into companies; execs don't have to be sold.</li>
|
||
<li><b>Circle 3 — carrier bundle + international.</b> Donna joins the NEWT bundle (voice + internet + receptionist + AI employee, one bill, one throat). WhatsApp unlocks non-NA markets where iMessage/SMS numbers fragment.</li>
|
||
</ul>
|
||
<div class="callout"><div class="lab">Message discipline</div>
|
||
<p>To executives: "hire your first AI employee — a real person signs her work." To EAs: "you already are the assistant; this is how you cover three of them." Never "replace your EA." The honesty register — published pricing, stated limits, no SOC 2 yet, seats genuinely capped — is itself the differentiator in a category drowning in overclaim.</p>
|
||
</div>
|
||
</section>
|
||
|
||
<!-- 9 · BUSINESS MODEL -->
|
||
<section id="model">
|
||
<div class="kicker">09 · Business model</div>
|
||
<h2>Two engines, one substrate.</h2>
|
||
<div class="tablewrap"><table>
|
||
<tr><th>Stream</th><th>Price (CAD)</th><th>Reviewer</th><th>Illustrative gross margin</th><th>Role in the plan</th></tr>
|
||
<tr><td>Supervised executive seat</td><td>$1,500 / mo</td><td>NEWT desk</td><td>~50–60% at 8–10 seats/reviewer</td><td>Revenue now, trust proof, correction data</td></tr>
|
||
<tr><td>EA platform seat</td><td>Free in beta → ~$99–299 / mo</td><td>The customer's EA</td><td>~85%</td><td>Scale engine; no desk to staff behind it</td></tr>
|
||
<tr><td>Agent roster add-ons (FIN / SUP / VOX)</td><td>Per-agent seat pricing</td><td>Mixed</td><td>Blended</td><td>Expansion revenue on the same substrate</td></tr>
|
||
<tr><td>Carrier bundle uplift</td><td>Bundled MRR</td><td>—</td><td>—</td><td>Retention + distribution, defends core NEWT base</td></tr>
|
||
</table></div>
|
||
<h3>Unit economics — supervised seat (illustrative)</h3>
|
||
<div class="math">
|
||
revenue / seat = <span class="hi">$1,500 / mo</span><br>
|
||
reviewer (loaded ~$7.5K/mo) across <span class="hi">8–10 seats</span> ≈ <span class="hg">$750–940 / seat</span><br>
|
||
AI compute + infra ≈ <span class="hg">$75–150 / seat</span><br>
|
||
→ gross margin ≈ <span class="hi">$400–700 / seat / mo</span> (~50–60% at desk maturity)<br>
|
||
platform seat @ $149: cost to serve ≈ <span class="hg">$20</span> → ≈ <span class="hi">85% margin</span>
|
||
</div>
|
||
<p>The strategic point: the supervised seat is priced at roughly <b>a seventh of a loaded EA and below a part-time offshore VA</b> — while the platform seat costs less than an EA's monthly parking. Neither engine asks the customer to believe anything about AI; both ask them to believe a person they've met.</p>
|
||
</section>
|
||
|
||
<!-- 10 · OPERATIONS -->
|
||
<section id="ops">
|
||
<div class="kicker">10 · Operations</div>
|
||
<h2>The desk is the factory.</h2>
|
||
<ul>
|
||
<li><b>Review SLA:</b> outbound checked in under 30 business-minutes (2 hrs off-hours); when we'll miss it, Donna hands the customer the finished draft to send themselves — the customer is never blocked on us.</li>
|
||
<li><b>Desk scaling:</b> Dawn is reviewer #1 and the training standard. Each new reviewer is an experienced EA, trained on the authority-tier playbook, shadowing live seats before holding their own. Target ratio: 8–10 supervised seats per reviewer at maturity; customers are told by name when anyone new touches their account.</li>
|
||
<li><b>Onboarding:</b> Day 0 thirty-minute call and authority table; days 1–3 shadow mode (Donna reads, touches nothing); days 4–10 Tier 1 live; days 11–30 the customer moves the line.</li>
|
||
<li><b>Reliability:</b> operated on carrier discipline — monitored, multi-model failover, incident paths that already exist for voice and network customers.</li>
|
||
<li><b>Security roadmap:</b> data-processing terms before anything connects; scoped mailbox access, revoked on disconnect; SOC 2 Type I in the funded plan. Until certified, we say so plainly — the honesty is load-bearing.</li>
|
||
</ul>
|
||
</section>
|
||
|
||
<!-- 11 · TEAM -->
|
||
<section id="team">
|
||
<div class="kicker">11 · Team</div>
|
||
<h2>The person, the builder, the carrier.</h2>
|
||
<div class="cards">
|
||
<div class="card"><div class="lab">Product · Operations</div><h4>Dawn Gamble</h4><p>Senior Executive Assistant, Fibernetics — fifteen years running the founders' desk. Designed Donna from her own job, reviews every beta seat, and trains the desk as it grows. The face customers meet on day zero.</p></div>
|
||
<div class="card"><div class="lab">Engineering · AI</div><h4>Zoe Cross</h4><p>Built and shipped the stack: the agent architecture (proven on Abby's finance desk), both product sites, and the live application pipeline. Owns the Claude + Mosaic platform, failover design and the Desk dashboard build.</p></div>
|
||
<div class="card"><div class="lab">Parent · Channel</div><h4>Fibernetics / NEWT</h4><p>Canadian carrier since 2011: infrastructure, uptime discipline, installed SMB base, VAR network, brand, and the founders' direct sponsorship of the project.</p></div>
|
||
</div>
|
||
</section>
|
||
|
||
<!-- 12 · FINANCIAL PLAN -->
|
||
<section id="financials">
|
||
<div class="kicker">12 · Financial plan</div>
|
||
<h2>From five seats to $100M ARR — the arithmetic, not the poetry.</h2>
|
||
<p class="lead">Every figure is an illustrative planning assumption for decision-making, not a forecast.</p>
|
||
<div class="tablewrap"><table>
|
||
<tr><th>Phase (illustrative)</th><th>Supervised seats</th><th>Platform seats</th><th>ARR (CAD)</th><th>Desk staff</th><th>Stance</th></tr>
|
||
<tr><td>Beta → mo 6</td><td>5 → 25</td><td>50 free</td><td>$0 → $450K</td><td>Dawn + 2</td><td>Investment</td></tr>
|
||
<tr><td>Year 1</td><td>100</td><td>500 @ $149</td><td>≈ $2.7M</td><td>~12</td><td>Near break-even</td></tr>
|
||
<tr><td>Year 2</td><td>400</td><td>3,000</td><td>≈ $12.5M</td><td>~45</td><td>Profitable desk</td></tr>
|
||
<tr><td>Year 3–4</td><td>1,500</td><td>10,000</td><td>≈ $45M</td><td>Regional desks</td><td>Roster live (FIN/SUP/VOX)</td></tr>
|
||
<tr><td>Year 5 target</td><td>4,000</td><td>25,000+</td><td>≈ <b>$100M</b></td><td>Franchise-model desks</td><td>≈ $1B at ~10× ARR</td></tr>
|
||
</table></div>
|
||
<ul>
|
||
<li><b>Cost structure:</b> reviewers (the dominant variable cost, ~50% of supervised-seat revenue at maturity), AI compute (~5–10%), platform engineering (fixed, small — the stack is deliberately lean), sales via existing channel (low CAC by design).</li>
|
||
<li><b>Break-even (illustrative):</b> ~35–40 supervised seats carries the early team; the platform seat's 85% margin pulls blended margin up as mix shifts toward software — which is the whole strategic design.</li>
|
||
<li><b>Funding need:</b> <b>$1.5M CAD for 18 months</b> (internal venture allocation or seed): Desk dashboard deepening (OAuth write-back, channels), 6 reviewers hired and trained, SOC 2 Type I, WhatsApp + voice channels, VAR partner program, and marketing that stays in the honesty register.</li>
|
||
<li><b>Use of funds:</b> ~45% engineering, ~30% desk staffing & training, ~15% compliance/security, ~10% GTM.</li>
|
||
</ul>
|
||
</section>
|
||
|
||
<!-- 13 · ROADMAP -->
|
||
<section id="roadmap">
|
||
<div class="kicker">13 · Roadmap</div>
|
||
<h2>Three horizons.</h2>
|
||
<div class="hz">
|
||
<div class="h"><div class="n">Horizon 1 · now → 6 mo</div><h4>Prove the desk</h4><p>Fill 5 beta seats from live intake. Deepen the shipped Desk dashboard (Google/Microsoft OAuth write-back, iMessage/SMS channel). Convert beta → paid with an explicit yes. Hire reviewers 2–3. SOC 2 program start. VAR pilot with 2 resellers.</p></div>
|
||
<div class="h"><div class="n">Horizon 2 · 6–18 mo</div><h4>Scale the two engines</h4><p>EA platform seat GA with self-serve pricing. FIN agent live (invoice chasing, expense coding — reviewed before anything posts). WhatsApp channel for international. 100+ supervised seats, 500+ platform seats.</p></div>
|
||
<div class="h"><div class="n">Horizon 3 · 18 mo +</div><h4>Own the category</h4><p>VOX voice agent on NEWT's own telephony. Donna-certified reviewer program → a marketplace where any certified EA sells supervised capacity on our rails, and we take the platform cut. The trust layer for agentic work.</p></div>
|
||
</div>
|
||
</section>
|
||
|
||
<!-- 14 · RISKS -->
|
||
<section id="risks">
|
||
<div class="kicker">14 · Risks & mitigations</div>
|
||
<h2>What kills this, and what we've done about each.</h2>
|
||
<div class="risk">
|
||
<div class="r"><b>Reviewer scaling is the bottleneck</b><span class="mit">By design: the platform seat needs no desk (customer's EA reviews), the certification program turns the labour constraint into a marketplace, and seats-per-reviewer rises as Tier 1 automation earns trust.</span></div>
|
||
<div class="r"><b>Key-person risk: Dawn</b><span class="mit">The authority-tier playbook and training program exist precisely to encode her judgment; reviewer #2–3 are hired in Horizon 1; the correction loop writes her standards into the product weekly.</span></div>
|
||
<div class="r"><b>Suite copilots commoditise drafting</b><span class="mit">Let them — drafting was never the product. Copilots make our COGS cheaper and still leave the customer as their own reviewer at 11 p.m. Accountability plus service doesn't ship in a suite SKU.</span></div>
|
||
<div class="r"><b>Services margin drags the multiple</b><span class="mit">Mix-shift is the plan: supervised seats are the wedge and the data engine; platform seats at ~85% margin become the majority of ARR by Year 3 (illustrative).</span></div>
|
||
<div class="r"><b>No security certification yet</b><span class="mit">Stated plainly on the public site today; DPA before anything connects; scoped access, revoked on disconnect; SOC 2 Type I funded in the ask. Honesty now beats implication later.</span></div>
|
||
<div class="r"><b>Model/vendor dependency</b><span class="mit">In-family failover is already live (Opus → Sonnet on transient failure); a second provider is in the funded plan — and the review layer means a weaker model degrades speed, not safety.</span></div>
|
||
<div class="r"><b>A public error under a customer's name</b><span class="mit">Tier design makes it structurally hard (Tier 3 waits indefinitely); full action logs make any incident auditable; the correction becomes a product change the same week — and we say so.</span></div>
|
||
<div class="r"><b>Beta converts poorly at $1,500</b><span class="mit">Price is published now specifically so conversion is tested honestly from day one; fallback positioning against $1,600–3,400 part-time VAs holds margin; platform seat catches the price-sensitive.</span></div>
|
||
</div>
|
||
</section>
|
||
|
||
<!-- 15 · ASK -->
|
||
<section id="ask">
|
||
<div class="kicker">15 · The ask & next steps</div>
|
||
<h2>Green-light the venture. The beta is already live.</h2>
|
||
<ul>
|
||
<li><b>Decision:</b> constitute Donna as a NEWT product line with <b>$1.5M CAD / 18-month</b> allocation and Dawn formally allocated to it.</li>
|
||
<li><b>Next 30 days:</b> fill the 5 beta seats from live intake (first target: the warm Delta Air lead); put the shipped Desk dashboard in Dawn's daily hands; begin reviewer #2 recruitment from the EA community funnel; kick off SOC 2 scoping.</li>
|
||
<li><b>Success gate for the next tranche:</b> 5 seats live with retention through day 30, review SLA held, and a signed VAR pilot — evidence, not projections.</li>
|
||
</ul>
|
||
<div class="callout"><div class="lab">The one-sentence case</div>
|
||
<p>Everyone is racing to make agents more autonomous; the customers with money are begging for someone to make them <b>accountable</b> — and accountability is the only part of this Fibernetics has already been selling for fifteen years.</p>
|
||
</div>
|
||
<p class="disclaimer">Market sizes, financial projections, margins and seat counts in this document are illustrative planning assumptions drawn from published 2026 ranges and internal estimates; they are not forecasts or performance guarantees. Product claims describe the live beta as deployed. Prepared with the founders' knowledge for internal decision-making.</p>
|
||
</section>
|
||
|
||
<div class="foot">
|
||
<span>Donna · Business Plan · NEWT by Fibernetics · Confidential</span>
|
||
<span>Summary: <a href="https://zoe-pitches.mosaic.site/donna/summary.html">one-pager</a> · Prototypes: <a href="https://donna-newt.mosaic.site">exec site</a> / <a href="https://donna-for-eas.mosaic.site">EA site</a></span>
|
||
</div>
|
||
|
||
</div>
|
||
</body>
|
||
</html>
|