[{"data":1,"prerenderedAt":87},["ShallowReactive",2],{"page-\u002Fen\u002Fcase-studies\u002Fcurve-ai-business-scan":3},{"id":4,"title":5,"body":6,"description":78,"extension":79,"meta":80,"navigation":81,"og":82,"path":83,"seo":84,"service":82,"stem":85,"__hash__":86},"pages\u002Fen\u002Fcase-studies\u002Fcurve-ai-business-scan.md","Curve AI Business Scan Case Study",{"type":7,"value":8,"toc":72},"minimark",[9,17,21,27,35,54,59,65],[10,11],"page-head",{":crumbs":12,":facts":13,"eyebrow":14,"lead":15,"title":16},"[{\"label\":\"Home\",\"to\":\"\u002F\"},{\"label\":\"Case Studies\",\"to\":\"\u002Fcase-studies\"},{\"label\":\"Curve\"}]","[{\"icon\":\"user\",\"text\":\"Client: Curve\"},{\"icon\":\"grid\",\"text\":\"Performance marketing\"},{\"icon\":\"search\",\"text\":\"AI Business Scan\"},{\"icon\":\"clock\",\"text\":\"3 weeks\"}]","Curve · AI Business Scan","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.","How Curve identified ~$241K in potential annual value from AI.",[18,19],"metric-wall",{":metrics":20},"[{\"value\":\"~$241K\",\"label\":\"potential annual value identified\"},{\"value\":\"~189\",\"label\":\"hours\u002Fmonth modeled capacity\"},{\"value\":\"10\",\"label\":\"use cases ranked and costed\"},{\"value\":\"3 wks\",\"label\":\"to run the whole Scan\"}]",[22,23],"stat-grid",{":stats":24,"lead":25,"title":26},"[{\"value\":\"12 people\",\"label\":\"Founders still handling operational work\"},{\"value\":\"$250K \u002F mo\",\"label\":\"Revenue target without growing headcount\"},{\"value\":\"25–30\",\"label\":\"Clients to serve without losing margin\"},{\"value\":\"14 tools\",\"label\":\"Company knowledge scattered and disconnected\"}]","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.","The challenge",[28,29],"table-block",{":columns":30,":rows":31,"caption":32,"lead":33,"title":34},"[\"Opportunity\",\"What it does\",\"Modeled value\"]","[[\"LinkedIn Leads Engine\",\"Finds and qualifies prospects, then prepares outreach for review\",\"~$5,880 \u002F mo\"],[\"Client-Success Co-pilot\",\"Drafts client responses and flags accounts that may need attention\",\"~$7,560 \u002F mo\"],[\"Personalized Proposals\",\"Creates tailored proposals from proven templates and live market data\",\"~$3,636 \u002F mo\"],[\"Client-Facing Dashboard\",\"Gives clients direct access to results without manual reporting\",\"~$3,038 \u002F mo\"]]","Modeled monthly values are preliminary estimates built from Curve's own reported hours and rates. They are not presented as realized savings.","Four high-value AI opportunities out of 10 identified, each costed with Curve's own numbers.","What the Scan prioritized.",[36,37,38,43,47,51],"prose",{},[39,40,42],"h2",{"id":41},"the-context","The context",[44,45,46],"p",{},"Curve was not starting from zero. The team could see AI's potential. The\nnext challenge was strategic: where should the company invest, which\nworkflows had the strongest economics and what foundation would let AI\nscale without creating disconnected tools or operational risk?",[39,48,50],{"id":49},"the-outcome","The outcome",[44,52,53],{},"Curve received a quantified AI roadmap and a clear basis for deciding what\nto build first. It also defined the architecture, dependencies and controls\nneeded to move from individual AI use toward a reusable company capability.",[55,56],"phases",{":phases":57,"title":58},"[{\"tag\":\"Week 1 · Discover\",\"title\":\"Alignment and mapping\",\"items\":[\"Leadership alignment on goals and metrics\",\"Workflow discovery with the people doing the work\",\"Tool and data review\"]},{\"tag\":\"Week 2 · Prioritize\",\"title\":\"Scored and sequenced\",\"items\":[\"Use-case design across 10 candidates\",\"Conservative value modeling on Curve's own numbers\",\"Six-pillar scoring: value, process, tech, data, people, risk\"]},{\"tag\":\"Week 3 · Decide\",\"title\":\"A decision-ready pack\",\"items\":[\"Quantified roadmap with a clear first build\",\"~$241K potential annual value identified\",\"189 hours of monthly capacity modeled\"]}]","How the Scan ran",[60,61],"pull-quote",{"author":62,"disclaimer":63,"quote":64},"Curve leadership — Insert 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.","The Business Scan gave us a quantified roadmap, a clear first build and the confidence to move forward.",[66,67],"cta-band",{":channels":68,"lead":69,"micro":70,"title":71},"true","An AI Business Scan compares your opportunities on value, feasibility, data readiness and security, before you commit to a build.","Curious what the Scan covers? See the Business AI Accelerator.","Find your highest-value AI opportunities.",{"title":73,"searchDepth":74,"depth":74,"links":75},"",2,[76,77],{"id":41,"depth":74,"text":42},{"id":49,"depth":74,"text":50},"See how a three-week AI Business Scan identified 10 use cases and $241K in potential annual value for Curve.","md",{},true,null,"\u002Fen\u002Fcase-studies\u002Fcurve-ai-business-scan",{"title":5,"description":78},"en\u002Fcase-studies\u002Fcurve-ai-business-scan","p8Yu0AYOAiR-_acou1hD1YrSJts4T7es2MAoN9NldeM",1791363839667]