Shark.AI

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
~$241K
potential annual value identified
~189
hours/month modeled capacity
10
use cases ranked and costed
3 wks
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.

12 people

Founders still handling operational work

$250K / mo

Revenue target without growing headcount

25–30

Clients to serve without losing margin

14 tools

Company knowledge scattered and disconnected

What the Scan prioritized.

Four high-value AI opportunities out of 10 identified, each costed with Curve's own numbers.

OpportunityWhat it doesModeled value
LinkedIn Leads EngineFinds and qualifies prospects, then prepares outreach for review~$5,880 / mo
Client-Success Co-pilotDrafts client responses and flags accounts that may need attention~$7,560 / mo
Personalized ProposalsCreates tailored proposals from proven templates and live market data~$3,636 / mo
Client-Facing DashboardGives clients direct access to results without manual reporting~$3,038 / mo

Modeled monthly values are preliminary estimates built from Curve's own reported hours and rates. They are not presented as realized savings.

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 approach

SHARK AI combined leadership alignment, workflow discovery, tool and data review, use-case design, prioritization, conservative value modeling and solution architecture.

The result was a portfolio of 10 relevant use cases, scored and sequenced across the six pillars: business value, process fit, technology, data, people and risk.

The outcome

Curve received a quantified AI roadmap and a clear basis for deciding what to build first. The Scan identified approximately $241K in potential annual value and 189 hours of monthly capacity across the prioritized portfolio, run end to end in three weeks.

It also defined the architecture, dependencies and controls needed to move from individual AI use toward a reusable company capability.

“

The Business Scan gave us a quantified roadmap, a clear first build and the confidence to move forward.

CVCurve leadershipInsert approved testimonial before launch

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.

Book a 30-minute call See the Scan + Workflow