Explore What's Possible With Strategic AI

Problem:

Manual scheduling of production runs consumed 10+ hours weekly, creating bottlenecks and delaying customer orders.

Solution:

AI agent analyzes machine availability, material inventory, and order priorities to generate optimized production schedules automatically.

Problem:

Quality control team spent 20 hours/week on inspection documentation and compliance reporting.

Solution:

AI extracts data from inspection photos, generates compliant reports, and flags anomalies automatically.

Problem:

Team members spent 30+ minutes after each meeting transcribing notes and action items, delaying follow-up.

Solution:

AI bot joins meetings, transcribes conversations, identifies action items, and distributes summaries automatically.

Problem:

Sales team spent 4-6 hours per proposal, limiting the number of opportunities they could pursue each month.

Solution:

AI system generates customized proposals from CRM data, past wins, and client requirements in minutes instead of hours.

Problem:

SDRs wasted time on cold leads while high-intent prospects slipped through the cracks.

Solution:

AI scores leads based on behavioral signals, firmographics, and historical conversion patterns to prioritize outreach.

Problem:

Sales reps manually updated CRM after every interaction, missing opportunities and creating data gaps.

Solution:

AI analyzes emails, calls, and meetings to automatically update CRM with next steps, deal risks, and engagement scores.

Problem:

Incoming support tickets sat in queue for 30+ minutes while agents manually reviewed and assigned them.

Solution:

AI analyzes ticket content, urgency, and agent expertise to instantly route requests to the right team member.

Problem:

Customers repeatedly asked the same questions, overwhelming support team with 200+ tickets per week.

Solution:

AI-powered chatbot answers common questions using knowledge base, escalating only complex issues to human agents.

Problem:

Order updates, shipping notifications, and follow-ups required manual effort, delaying customer communication.

Solution:

AI generates personalized order updates, proactive shipping notifications, and post-purchase follow-ups automatically.

Problem:

Analysts spent days reviewing hundreds of documents to compile competitive intelligence and market reports.

Solution:

AI ingests documents, extracts key insights, identifies trends, and generates executive summaries with citations.

Problem:

Overstocking and stockouts created $200K+ in waste and lost sales annually due to manual demand forecasting.

Solution:

AI predicts demand patterns using historical data, seasonality, and market trends to optimize inventory levels.

Problem:

Multi-step approval processes took 3-5 days due to manual handoffs, email chains, and lost requests.

Solution:

AI orchestrates entire workflow from request submission to approval, notifying stakeholders and tracking SLAs automatically.

Problem:

Physicians spend 2+ hours daily on clinical notes, prior auth paperwork, and patient summaries.

Solution:

AI scribe that transcribes patient visits, drafts SOAP notes, and auto-fills prior authorization forms from EHR context.

Problem:

Agents spend hours writing MLS listings, social posts, and buyer emails that should be templated.

Solution:

AI that generates branded MLS descriptions, Instagram captions, and personalized buyer follow-up sequences from property details.

Problem:

Tax season bottleneck: manual data entry, document chasing, and client status updates consume staff time.

Solution:

AI extracts data from uploaded tax documents, flags missing items, drafts client status emails, and generates engagement letters.

Problem:

Associates spend billable hours on routine contract drafting, NDA review, and client intake documents.

Solution:

AI drafts NDAs, engagement letters, and standard contracts from templates, flags non-standard clauses in reviewed documents.