who hasn’t booked in 90 days. Complaint emails get a drafted response within minutes. BEFORE AI Monday starts with inbox triage. Complaints sit for hours. Re-engagement campaigns happen “when there’s time,” which is never. AFTER AI Monday starts with a one-page snapshot already in the inbox. Complaints drafted before first coffee. Re-engagement runs on autopilot. Sales & marketing: The campaign you never had time to run Marketing falls off the plate when business gets busy. AI analyzes what’s selling, builds a campaign strategy, and executes content. Success Story: PR & Communications Firm AI scans 90 days of sales data and identifies top services by margin. It produces a 30-day content brief, generates social assets in Canva, and stages the campaign in HubSpot. Total owner time: 20 minutes to review and approve. BEFORE AI Marketing agency costs $3,500/ month. Posts go out inconsistently. No data connecting content to actual revenue. AFTER AI Full campaign strategy, assets, scheduling, built from internal sales data. Owner reviews in 20 minutes. (Editor’s note: high performing marketing agencies post consistently, collect and analyze data, and provide an important human element to decision making.) AI & the law: What business owners should know This section is for informational awareness only and does not constitute legal advice. Readers should consult qualified legal counsel. Colorado: The first state AI law Colorado’s revised AI law (SB 26-189), signed May 14, 2026, takes effect January 1, 2027. It requires businesses to notify consumers when AI influences decisions affecting them (employment, housing, health care, lending), give consumers the right to appeal, and document AI systems used in high-risk contexts. Smaller business exemptions exist but continue to evolve through rulemaking. AI readiness: Insurance and enterprise expectations For informational awareness only. Consult your insurance broker, legal advisor, and business advisor for your specific situation. A coverage gap Is emerging Effective January 2026, standard commercial general liability (CGL) policies began explicitly excluding claims arising from generative AI. If your business uses AI-generated content or AI-assisted decisions in client-facing work, your existing policy may not cover resulting claims. A new category - AI liability insurance and affirmative AI endorsements is emerging through specialty carriers. If your business uses AI in any operational or client-facing capacity, reviewing your current policy language with your insurance broker is a prudent step. Enterprise RFPs now include AI governance questions Large corporations are beginning to ask suppliers about their AI practices as part of vendor qualification. For businesses competing for enterprise contracts, this is increasingly relevant. Common questions include: ■ Do you use AI in service delivery, and what data privacy measures are in place? ■ Do you have documented policies governing how AI is used and overseen? A simple AI use policy documenting what tools you use, how they are overseen, and how client data is protected positions your business as an enterpriseready AI adopter. AI needs people “AI handles the process. Your people build the business.” Women business owners often wear every hat and AI is not a luxury for this profile, it is a multiplier. But AI tools do not run themselves. Your employees know your clients, workflows, and culture. When they understand and work with AI, they stop being users of a process and start being builders of one. The goal is not to replace your team, it is to free them from repetitive tasks so they can focus on client relationships, decisions, and growth. What this looks like in practice: ■ Train on the tools, not just the outputs. Employees who understand why AI drafted something a certain way can improve it, personalize it, and catch errors. ■ Let employees build the workflows. The people closest to a process are best positioned to define how AI should assist it, give them the permission to design it. ■ Treat AI fluency as a business skill. AI literacy for your team is an operational investment, not an IT project. ■ Maintain human oversight on every AI output. AI is a capable assistant, not a decision-maker. Every draft and recommendation needs a person reviewing and taking responsibility increasingly what enterprise clients and regulators expect. The businesses that grow fastest are not the ones with the most AI tools. They are the ones where every employee understands how AI supports their role and applies their own judgment to what it produces. That is not a technology strategy - that is a people strategy. RASHMI CHATURVEDI is co-founder and president of Kaygen. Connect and learn more at www.Kaygen.com or email rashmi@Kaygen.com enterprising Women 29
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