Curve · AI Business Scan
How Curve identified ~$241K in potential annual value from AI.
A three-week AI Business Scan turned scattered AI ideas into 10 ranked use cases, a quantified business case and a clear first-build decision.
- Client: Curve
- Performance marketing
- AI Business Scan
- 3 weeks
potential annual value identified
hours/month modeled capacity
use cases ranked and costed
to run the whole Scan
The challenge
Curve is a performance-marketing agency running paid media across Meta, Google, TikTok and Snapchat for 25 to 30 clients. The team was already experimenting with AI, but the value was personal and scattered, and the founders were still handling operational work.
Founders still handling operational work
Revenue target without growing headcount
Clients to serve without losing margin
Company knowledge scattered and disconnected
What the Scan prioritized.
| Opportunity | What it does | Modeled value |
|---|---|---|
| LinkedIn Leads Engine | Finds and qualifies prospects, then prepares outreach for review | ~$5,880 / mo |
| Client-Success Co-pilot | Drafts client responses and flags accounts that may need attention | ~$7,560 / mo |
| Personalized Proposals | Creates tailored proposals from proven templates and live market data | ~$3,636 / mo |
| Client-Facing Dashboard | Gives clients direct access to results without manual reporting | ~$3,038 / mo |
The context
Curve was not starting from zero. The team could see AI's potential. The next challenge was strategic: where should the company invest, which workflows had the strongest economics and what foundation would let AI scale without creating disconnected tools or operational risk?
The outcome
Curve received a quantified AI roadmap and a clear basis for deciding what to build first. It also defined the architecture, dependencies and controls needed to move from individual AI use toward a reusable company capability.
How the Scan ran
Alignment and mapping
- Leadership alignment on goals and metrics
- Workflow discovery with the people doing the work
- Tool and data review
Scored and sequenced
- Use-case design across 10 candidates
- Conservative value modeling on Curve's own numbers
- Six-pillar scoring: value, process, tech, data, people, risk
A decision-ready pack
- Quantified roadmap with a clear first build
- ~$241K potential annual value identified
- 189 hours of monthly capacity modeled
The Business Scan gave us a quantified roadmap, a clear first build and the confidence to move forward.
Potential value and capacity were modeled from discovery inputs and agreed assumptions. They are not presented as realized savings. Actual results depend on implementation, adoption and operating conditions.
Next step
Find your highest-value AI opportunities.
An AI Business Scan compares your opportunities on value, feasibility, data readiness and security, before you commit to a build.