employee, client, investor, partner, or really anyone you’re working with.
Total: $1.6M+/year for 10-person team
Onboarding Crisis
New people have no idea what to do. 3–6 months @ 50% productivity. $214K/year for team adding 5 people.Knowledge Loss
When employees leave, 2 years of AI context leaves with them. Gone forever. $90K/year in replacement productivity loss.Constant Interruptions
You spend all day answering questions AI should answer. 10 hours/week per senior person. $400K/year in senior time.Vendor Lock-In
Stuck with one AI tool even when better ones exist. Can’t use Claude for reasoning, Cursor for coding. $780K/year using wrong tools.Fragmentation
Sales AI knows customer needs, Product doesn’t. Engineering knows constraints, Sales doesn’t. Different answers to same questions. $120K/year in rework.Your AI observes what you work on. When something’s important, you draft a memory together. All your team’s AIs work from collective memory, as written.
Not surveillance. Intentional curation. Not every conversation—just what you decided was worth writing to memory.
The flow:
Example: After strategy call, AI says “I observed we’ve decided to pivot to healthcare. Should we write this to collective memory?” You say yes, draft memory, commit. 10 minutes later, Product asks their AI ”What’s our healthcare positioning?" and gets the answer immediately.
Your data, your control: Git-native repository you own. Version-controlled. Export anytime. Never locked in.
AI-Assisted Development - Coding agents (Cursor, Claude Code, GitHub Copilot) read compiled snapshot. Understand ADRs, architecture decisions, customer context while implementing. Features align to org direction automatically. PM freed from constant context questions. Rework rate: 15% → <5%.
Executive Assistance - Strategy discussions become queryable memories. Sales, Product, Engineering work from same context. New hires productive day 1 (AI remembers everything across teams, as written). Knowledge persists when people leave (zero loss). Onboarding: 3–6 months → day 1. Senior time freed: 8 hours/week.
Content Generation - Speeches, presentations, blog posts auto-generate from organizational worldview. When worldview changes, all materials regenerate automatically. Brand voice consistent. One worldview, branch for scenarios (no version confusion). Idea → updated materials: days → 15 minutes.
Organizational Change Tracking - Every written change creates queryable organizational history. “What changed this quarter?” → AI generates report from commit history. Auto-generate updates for VCs, board, advisors, clients. Track strategic progress, verify execution against stated goals. Board deck preparation: days → 15 minutes.
Small teams that move fast:
For VCs/Board/Advisors:
Portfolio companies auto-generate updates from written organizational state. “What changed this quarter?” → queryable, not just reported. Verify execution against stated strategy. Board prep: days → 15 minutes.
Not enterprise.
This is anti-enterprise. Small teams need speed, not bureaucracy.
Phase 1 (30 days) - Pilot with 5–10 people, one team. Connect AIs (5 min/person), write decisions, measure results.
Phase 2 (30 days) - Add 2–3 more roles. Network effects kick in. “Sales saw engineering constraints immediately.”
Phase 3 - Org-wide. All roles connected. New hires day 1 productive. Departures = zero knowledge loss.
Pricing: Pilot free/low-cost (your API keys). Team (5–15 people) $2–5K/month. Org-wide (15–50 people) $10–20K/month. Value anchor: You’re losing $1.6M/year. What’s 1% of that worth?
Or reach out | scarlet@aswritten.ai