Summary
Stephanie Nyarko outlines three concrete AI service offerings that non-developers can sell to small businesses, built around the insight that clients don’t want “AI automation” — they want specific time-saving outcomes framed in familiar business terms. The first service is a document prep system: using Claude or similar LLMs to auto-draft recurring documents (proposals, onboarding briefs, monthly client reports) from a client’s own prior writing and data sources, delivered ready-to-send without custom software. Nyarko emphasizes feeding the model multiple real examples of the client’s past writing — not just prompts — to preserve their voice.
The second is a paid data cleanup audit, where a practitioner points AI tools at a business’s disorganized files, shared drives, or sprawling spreadsheets to surface what’s actually in them: unpaid invoices, stale contacts, redundant data. Nyarko frames this as simultaneously a billable project and a portfolio piece, since the specific findings it surfaces naturally generate follow-on work. The third service is a recurring weekly intelligence brief — a scheduled job scanning a client’s key data sources and delivering a Monday morning summary of what needs attention that week, converting a one-time engagement into predictable recurring revenue.
Practical failure modes are addressed for each: tone drift in document generation, accidental exposure of sensitive data during audits, and the risk of over-automating workflows clients still want to control. Nyarko advises charging fixed-scope rather than hourly and never performing audits for free.
📺 Source: Stephanie Nyarko · Published September 02, 2026
🏷️ Format: Workflow Case Study
