Streamline operations with AI that works for you. Frank Software designs customised AI chatbots, customer agents, AI voice assistants, agentic workflows, and custom web applications.
Frank Software now has two clear service lines: AI automation as the primary growth offer, and established website/software delivery for businesses that still need polished digital systems.
Identify the strongest opportunities for AI integration, map the business process, and define a practical implementation plan before any build begins.
Design and build tailored AI solutions, chatbots, voice assistants, customer agents, and agentic workflows for specific business challenges.
Help owners and teams understand AI, spot useful automation opportunities, and use new systems safely inside day-to-day operations.
Build and design modern websites, create compelling service positioning, develop intuitive UX/UI, and craft web applications that support real business workflows.
For launch partners, the first consultation and collaboration phase is free. You bring one repetitive business process; Frank Software maps the automation opportunity and proposes a pilot.
Small businesses do not need a vague transformation program. They need one painful process made measurable, then a practical path to expand.
List the handoffs, messages, files, approvals, and systems involved in the process.
Build a working workflow with test data, clear exception handling, and a human approval point.
Measure saved time, missed cases, customer response quality, and where the next workflow should begin.
Frank Software already has website design and software delivery examples. The new portfolio should present those as proof that AI workflows can become real customer-facing systems.
Use as proof of local service-business positioning, lead capture, and project presentation.
Use as proof that Frank Software understands quote-driven small business workflows.
Use as proof of service packaging, trust-building content, and polished web delivery.
The first call should not ask clients to understand AI. It should ask where work repeats, where customers wait, and where staff copy the same data twice.
