diff --git a/donna/Donna-Business-Plan.pdf b/donna/Donna-Business-Plan.pdf index bd4f337..ad9fba7 100644 Binary files a/donna/Donna-Business-Plan.pdf and b/donna/Donna-Business-Plan.pdf differ diff --git a/donna/Donna-Executive-Summary.pdf b/donna/Donna-Executive-Summary.pdf index 5abef01..b67bba3 100644 Binary files a/donna/Donna-Executive-Summary.pdf and b/donna/Donna-Executive-Summary.pdf differ diff --git a/donna/index.html b/donna/index.html index c0e5e2c..d99d57b 100644 --- a/donna/index.html +++ b/donna/index.html @@ -190,7 +190,7 @@

NEWT's first AI employee.

Mission: make agentic AI usable by real businesses by attaching a named, accountable human to every outcome.

What it is: 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 NEWT, the business division of Fibernetics, a Canadian carrier running business voice and network since 2011.

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Stage: 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 is spec'd from the operating desk Dawn already runs.

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Stage: 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 — Donna Desk — is live and built out well past MVP, encoding the operating desk Dawn already runs.

Origin

Born from a working desk

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.

Positioning

AI-enhanced human

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.

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Architecture

Working today
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Live: both product sites, the six-question qualification quiz, published pricing, and a verified application pipeline (form → database → notification email, tagged by seat). Also live: the Desk dashboard MVP — per-executive buckets, an AI meeting-notes pipeline (raw notes → summary → suggested tasks/events, all held in a review queue for explicit approval), AI contact extraction, and the beta-application pipeline surfaced as a workable CRM. Not yet live (and said so publicly): Finance, Support and Voice agents.

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Live: both product sites, the six-question qualification quiz, published pricing, a verified application pipeline (form → database → notification email, tagged by seat) — and the Desk dashboard, 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.

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13 · Roadmap

Three horizons.

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Horizon 1 · now → 6 mo

Prove the desk

Fill 5 beta seats from live intake. Ship the Desk dashboard MVP (buckets, review queue, insights). Convert beta → paid with an explicit yes. Hire reviewers 2–3. SOC 2 program start. VAR pilot with 2 resellers.

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Horizon 1 · now → 6 mo

Prove the desk

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.

Horizon 2 · 6–18 mo

Scale the two engines

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.

Horizon 3 · 18 mo +

Own the category

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.

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Suite copilots commoditise draftingLet 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.
Services margin drags the multipleMix-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).
No security certification yetStated 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.
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Model/vendor dependencyMulti-model failover is in the architecture (Claude primary, second provider or local fallback), and the review layer means a weaker model degrades speed, not safety.
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Model/vendor dependencyIn-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.
A public error under a customer's nameTier 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.
Beta converts poorly at $1,500Price 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.
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Green-light the venture. The beta is already live.

The one-sentence case
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The ask
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Constitute Donna as a NEWT product line: $1.5M CAD over 18 months, Dawn formally allocated. Next 30 days: fill the five beta seats from live intake, start the Desk dashboard, recruit reviewer #2. Gate for the next tranche: five seats retained through day 30 with the review SLA held — evidence, not projections.

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Constitute Donna as a NEWT product line: $1.5M CAD over 18 months, Dawn formally allocated. Next 30 days: fill the five beta seats from live intake, put the shipped Desk dashboard in Dawn's daily hands, recruit reviewer #2. Gate for the next tranche: five seats retained through day 30 with the review SLA held — evidence, not projections.