Tycoon for Dev & Design Agencies
The ops hire you can't afford, built into every agency tier you run.
The AI team layer for small dev agencies. Sales, project management, client updates, docs, hiring — without adding a PM or ops hire.
What you're up against
How Tycoon helps
Per-client AI COO instance runs the weekly update cycle: pulls Linear ticket progress, GitHub PR activity, meeting notes, and drafts a Friday client update in your agency's voice. The update includes what shipped, what's next, blockers, and a Figma/staging preview link. Clients get the account management touch a 20-person agency provides, paid for with software budget.
AI Sales Rep maintains your outbound — 30-50 personalized cold emails per week to ICP prospects, follow-up sequences, CRM hygiene, meeting booking. When your team is drowning in a Q3 delivery crunch, sales doesn't fall off a cliff. When delivery eases, you have pipeline instead of scrambling to rebuild it.
Discovery call Friday → polished proposal in PandaDoc Saturday morning, drafted from your past proposals' structure and your recent pricing. Founder review and send Saturday. The proposal-writing bottleneck that used to cost you weekends goes away. Close rate goes up because proposals ship the day after the call instead of 5 days later.
AI Head of Content maintains your internal docs: process docs, client onboarding docs, new-hire runbooks, tech stack decisions. As you work, the AI silently captures decisions from Slack/Linear and adds them to Notion. When a new hire starts, they have a coherent onboarding path instead of 'ask someone on Slack.' New hires ramp in 2 weeks instead of 6.
AI COO watches project health metrics (velocity, overdue tickets, client response times) and flags projects trending off-track before they blow up. 'Client X hasn't reviewed staging in 5 days' → draft the check-in email. 'Project Y is 3 sprints from deadline with 40% scope left' → flag to the founder with options. The operational work a head of delivery would do, without hiring one.
Your stack
Frequently asked questions
We already have a junior PM — how does Tycoon fit with them?
The junior PM moves from 'writes status emails 8 hours a week' to 'solves novel client problems 8 hours a week.' The AI team handles the commodity ops work (weekly updates, meeting notes, follow-up chasing, doc updates, sales cadence). The human PM handles the judgment work (tough client conversations, scope negotiations, team conflict mediation, novel process design). Most agencies find their single PM can suddenly support 2-3x more projects, which means you can grow revenue without growing headcount.
Is this going to fight with our Linear/GitHub/Notion setup?
No — Tycoon integrates with them rather than replacing them. Linear stays your ticket system; the AI team reads and writes to it. GitHub stays your code; the AI CTO reads PRs and writes summaries. Notion stays your docs; the AI populates them. There's no 'migrate to our system' moment. Your existing stack becomes the substrate the AI team operates on. The AI team does not get write access to production code unless you explicitly grant it.
How does this compare to building our own internal tooling with Zapier / n8n / custom code?
Internal tooling works great for narrow, stable workflows (send this email when X happens). It breaks the moment you need judgment — 'if the client reply sounds annoyed, escalate to me instead of auto-responding.' Tycoon is an AI team that handles the judgment. Most agencies that have tried Zapier + GPT API end up with 40 brittle automations they're scared to edit. Tycoon is one teammate making decisions across domains, not 40 bots firing in isolation.
We do complex client implementations — enterprise SaaS, regulated industries, millions of users. Does this scale up?
Yes, with scoping. For enterprise/regulated work, you'll want strict workspace isolation per client (Tycoon supports this), human approval gates on all external communications (available per-workflow), audit logs retained (default on), and probably no AI write access to production systems. What the AI team does well at enterprise scale: internal coordination, internal doc generation, ticket triage, meeting synthesis, monitoring dashboards. What it still shouldn't do: touch production, make client-facing commitments without approval, handle incident response alone.
What's the typical agency pricing / ROI?
For a 5-person agency at ~$1M ARR: roughly the cost of one contractor month per year. Typical observed ROI at that scale: 20-40% more delivery capacity per human, 30-50% more pipeline (because sales runs continuously), 10-15% higher close rates (because proposals ship faster and look more polished), and a reduction in founder hours spent on ops from 20+ per week to 5-8. The single largest ROI line is usually 'we stopped losing deals we would have lost to faster-responding competitors.'
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