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AI agents for defined business work
Build agent capabilities around a scoped workflow, approved knowledge, system boundaries, evaluation, and accountable human review.
Connected, Governed AI Agents for Real Work
AI agents are becoming a practical way to reduce manual work across customer service, sales, operations, finance, and internal technology teams. SoloSoft designs and implements AI agents that work within real business environments—connected to approved knowledge, applications, documents, and workflows.
This is the newest extension of SoloSoft’s established engineering practice: applying software development, systems integration, data, infrastructure, and product-delivery experience to AI-enabled operations.
What We Build
- Internal knowledge assistants that help teams find approved information across documents, policies, product materials, and business systems.
- Workflow agents that prepare drafts, classify requests, route work, summarize activity, and trigger approved actions.
- Customer-service assistants that support agents with answers, case context, and next-step recommendations.
- Sales and marketing agents that support research, content operations, lead handling, and campaign workflows.
- Document-processing workflows for extracting, validating, organizing, and routing information from business documents.
- Multi-agent workflows where specialized agents collaborate under defined rules and human approval.
Designed for Production, Not Demos
A useful AI agent must fit the way your company actually operates. SoloSoft begins with the workflow, systems, source data, risk controls, and expected business outcome—not with a generic chatbot.
- AI opportunity and workflow assessment
- Agent architecture and technical design
- Knowledge-base and retrieval design
- CRM, ERP, API, database, and document-system integration
- Security, access-control, and approval design
- Testing, monitoring, and ongoing improvement
Where AI Agents Create Value
AI agents are most effective where teams repeatedly search for information, prepare routine responses, move data between systems, review documents, or coordinate work across several tools. We help identify practical use cases that can be implemented responsibly and measured over time.