A practical advisor for AI workflows that have to work in the business
APPSOLN® helps operations-heavy businesses identify, integrate, and govern practical AI workflows—without unnecessarily replacing their existing systems.
Positioning
APPSOLN® helps operations-heavy businesses identify, integrate, and govern practical AI workflows without unnecessarily replacing existing systems. Full-stack engineering is an enabling capability used to implement integrations. It is not presented as the main product.
Who we work with
Ideal initial customers are operations-heavy businesses with approximately 20–250 employees. Likely buyers include founders, CEOs, COOs, operations leaders, transformation leaders, and IT leaders.
Founder
Aishwarya Shiva Pareek
AI Workflow Consultant | APPSOLN®
I help operations-heavy businesses identify where AI can improve real work, connect it to the systems teams already use, and put clear human oversight around the result. At APPSOLN®, the starting point is one operational workflow: what it costs today, where the handoffs and exceptions are, what data is available, and how success will be measured. From there, I help leaders decide what to implement, defer, or reject. When a use case is ready, my full-stack engineering background supports practical integration rather than another disconnected AI tool. I work with founders, COOs, operations leaders, and IT leaders who need a grounded AI decision. Common areas include lead follow-up, customer support, document intake, reporting, and internal knowledge access. My focus is measurable outcomes, adoption by the people doing the work, and review points where accuracy or risk matters.
How the work is scoped
The practice is scoped around one workflow at a time. That constraint is what keeps an engagement measurable. A first conversation identifies the work, the systems it touches, the person who owns the decision, and whether the data needed for a baseline already exists. If the fit is wrong, the useful outcome is a clear no, not a proposal for a platform. If the fit is right, the Opportunity Review turns that workflow into a map, a ranked recommendation, and a 90-day path.
Engineering shows up after the operating decision, not before it. Connecting a workflow to a CRM, a support desk, a document store, or a reporting system is implementation. It is not the product being sold. Governance is part of the same scope: who may use the system, what a person must review, how an exception is escalated, and how the team will know the change helped. Buyers are typically founders, CEOs, COOs, operations leaders, transformation leaders, and IT leaders in businesses of about 20 to 250 people.
Talk about a workflow worth reviewing
Book a free 15-minute AI Workflow Fit Call to check fit, or apply directly for an Opportunity Review.