AI Chief of Staff for Solo Consultants

The Problem

Solo consultants bill $150–$300 an hour and lose roughly 20% of the week to $15/hour work: scheduling ping-pong, proposal follow-ups, client file wrangling, invoice nudges. That is tens of thousands of dollars a year in unbilled time. They hire a VA when chaos peaks, then underutilize them because context lives in Gmail and Google Drive, not a handbook.

Motion and Reclaim optimize calendars. Otter and Fireflies summarize meetings. ChatGPT drafts one-off emails. None own the consultant workflow around the calendar: confirm meetings, chase silent prospects, keep client folders sane, and remind about invoices — context-aware busywork that turns admin hours back into billable ones. r/freelancing (340K+) and VA Facebook groups constantly debate hiring vs tools. Intelligent virtual assistant markets are projected from tens of billions toward ~$100B by early 2030s at ~30% CAGR (Ideabrowser #5309).

The Solution

Billable (working name) is an AI chief of staff for solo consultants. It schedules without email tennis, follows up on proposals when prospects go dark, organizes client files across Drive/Notion, and manages the calendar like an assistant who understands consulting workflows.

Wedge: scheduling + proposal follow-ups first — the universal pain. Expand into invoices, onboarding sequences, and status updates.

How it works:

1. Connect Gmail + Calendar — OAuth; index recent sent mail for tone and common templates.
2. Scheduling agent — Detects scheduling threads; proposes slots inside working hours; sends confirmations.
3. Proposal watchdog — Tracks sent proposals; auto-drafts polite follow-ups at day 3 / day 7 if no reply.
4. Client file hygiene — Suggests folder structures and filing rules for attachments and notes.
5. Weekly billable report — Hours saved estimate, follow-ups sent, meetings booked — proof for the subscription.

Weekend MVP: Gmail + Calendar + Claude for draft generation; Zapier/Calendly bridge; onboard 10 consultants manually.

Market Research

• Global intelligent virtual assistant market cited around $25.7B (2026) growing toward ~$99.6B by 2031 (~31% CAGR) in Ideabrowser synthesis.
• Solo consultant and freelancer populations are large and digitally reachable via LinkedIn, Reddit, and Facebook VA groups.
• Willingness to pay: consultants already pay humans $15–$40/hour for VA work; $29–$99/month software is an easy ROI if it recovers even two billable hours monthly.
• Adjacent proof: Motion ($19–$34), Otter, Fireflies show paid AI productivity adoption.

Competitive Landscape

• Motion / Reclaim — AI calendar optimization roughly $19–$34/user/month. Strong at time blocking; weak at proposal follow-ups and client file ops.
• Otter.ai / Fireflies — Meeting notes and summaries; not a chief of staff for email workflows.
• ChatGPT / Claude apps — General AI; no persistent Gmail/Calendar agent loop.
• Human VAs (Belay, Upwork) — High trust, high cost and management overhead; $1K+/month retainers common.

Your Opportunity

Own consultant-specific workflow automation at $29 / $99/month — cheaper than a VA, more specialized than Motion. Position: Recover billable hours, keep Gmail.

Business Model

• Core — $29/month scheduling + follow-up drafts.
• Full suite — $99/month files, invoices, templates, multi-client views.
• Annual — two months free.
• Enterprise — $5K–$20K/year for small firms needing shared rules.

Unit Economics (illustrative)

• LLM cost cents per draft with Haiku triage
• Path: 300 × $49 blended ARPU ≈ $14.7K MRR

Recommended Tech Stack

• Next.js + Vercel — app + billing.
• Gmail API + Google Calendar — core connectors; Microsoft Graph phase 2.
• Claude API — drafts and classification.
• Postgres — users, rules, follow-up state machine.
• Stripe — subscriptions.
• Resend — weekly reports.

AI Prompts to Build This

Copy and paste these into Claude, Cursor, or your favorite AI tool.

1. Connectors

Build Billable MVP: Next.js with Google OAuth for Gmail and Calendar. Store encrypted refresh tokens. List unread threads and upcoming events on a dashboard.

2. Follow-up State Machine

Detect emails with subject containing Proposal or attached PDFs sent by the user. If no reply in 3 days, create a draft follow-up in the user's voice. Require one-click approve before send.

3. Working Hours Scheduler

Parse scheduling threads. Propose 3 slots inside user.working_hours next 5 business days, excluding busy Calendar events. Draft a reply with the options.

The product dies if drafts send without approval. Keep a human-in-the-loop approve button for every external email in v1. Consultants will forgive a missing feature; they will not forgive a weird follow-up to their biggest client. Log every approval and edit distance so the model learns voice without unsupervised sends. Position against human VAs with a calculator: "If you bill $200/hour and save 3 hours/month, Billable paid for itself 20×."

GTM: LinkedIn content for solo consultants, sponsorships in freelance newsletters, and a cohort onboarding Zoom for the first fifty users. Measure hours saved via before/after time-tracking diary for ten design partners. If median saved hours stay under 2 per week, tighten the scheduling wedge before building file organization. Expand later into proposal generation that fills from discovery-call notes — but only after the follow-up watchdog has retention proof.

Sources

• Ideabrowser #5309 research summaries
• r/freelancing community signals
• Motion AI calendar (competitor)
• Otter.ai meeting assistant (adjacent)