AI Business Automation is Startup Consulting Inc.'s flagship consulting and implementation service. We design, build, and deploy AI systems that automate your business processes — reducing costs, eliminating repetitive manual work, and enabling your team to focus on high-value decisions.
Learn More Get in TouchWe map your current workflows to identify the highest-ROI automation opportunities. We prioritize changes that pay back within 90 days, so you see results before the engagement ends.
We don't sell off-the-shelf tools. We build AI systems tailored to your specific business logic, data, and workflows — systems that fit your operations, not the other way around.
Complex processes like lead qualification, customer onboarding, and compliance review get multi-agent AI systems that handle edge cases gracefully and escalate to humans when needed.
Connect AI automation to your existing tools — CRM, ERP, Slack, email — without rebuilding your tech stack. We work with what you have and add AI on top.
We train your team to maintain and extend the AI systems we build, so you're not dependent on us forever. Our goal is to make your team more capable, not to create a dependency.
Monitoring, retraining, and iteration as your business evolves. AI systems improve over time when maintained properly — we provide the support infrastructure to ensure they do.
Most AI consulting engagements fail because they prioritize technical sophistication over business impact. Teams spend months building architecturally impressive systems that don't address the actual bottlenecks in the business. Startup Consulting Inc. takes the opposite approach: identify the highest-ROI automation opportunity, build a focused solution, measure the impact, and iterate from there.
The clients who benefit most from AI Business Automation fall into three categories. The first is Korean startups entering the US market, who often need to automate customer-facing processes quickly to compete without a large local team. The second is small and medium-sized businesses — particularly in Seattle's enterprise technology ecosystem — that have outgrown their manual processes but aren't yet large enough to justify building an internal AI team. The third is enterprise teams at larger organizations that need to move faster than their internal IT department can support.
Jaehee Song brings 20+ years of industry experience to every engagement, including work at Visa where he developed deep expertise in data platform architecture, system integration, and the kind of enterprise-scale thinking that makes AI implementations production-ready rather than prototype-quality. This background is directly relevant to business automation: the challenges of deploying AI in a business context — reliability, security, integration, and maintainability — are the same challenges that enterprise data platform teams have been solving for decades.
The types of automation we build span a wide range: automated lead qualification and routing, AI-powered customer support triage, document processing and data extraction, compliance review automation, reporting and analytics automation, and multi-agent research workflows. Each engagement begins with a discovery process that maps existing workflows and identifies where automation will have the highest impact — not where it's technically most interesting, but where it will measurably improve business outcomes.
Multi-agent AI is at the core of our most sophisticated engagements. Using frameworks like CrewAI and LangGraph, we build systems where specialized AI agents work together to handle complex business processes — one agent extracts data, another validates it, a third applies business rules, and a fourth generates the output. This specialization produces better results than a single general-purpose AI prompt, and it creates systems that are easier to debug, improve, and maintain over time.