# AI Products with Agentic Workflows

URL: https://qualixsolutions.com/services/ai-products-with-agentic-workflows/

Agentic workflows that take action, make decisions, and handle multi-step tasks autonomously built into products your users and teams rely on.

AI products that do the work not just answer questions.

#### Why this matters

- 40%: of enterprise applications will include task-specific AI agents by end of 2026, up from less than 5% in 2025. The shift from chatbots to agents that actually execute is happening now.
- 40%: of agentic AI projects will be canceled by end of 2027 due to escalating costs, unclear business value, or inadequate risk controls. Most teams are building agents from hype, not from a defined business problem.
- ~6%: of organizations see meaningful financial returns from AI. Nearly two-thirds remain stuck in experimentation or pilot mode, unable to scale to production.

#### What you get

- Use Case Definition & Scoping
- Agent Architecture & Orchestration Design
- LLM Selection & Integration
- Tool & API Integration
- Guardrails, Evaluation & Safety
- Monitoring & Continuous Improvement

Service brief: 8-16 weeks. Good for Founders, Product Leaders, CTOs building AI-native products

#### How we deliver this

1. Discovery workshop: We sit with you, map your workflows, users, and constraints. You leave with a scoped brief — not a proposal full of assumptions.
2. Architecture & Design: System design and UX decisions made before a line of production code.
3. Build: Sprint-based delivery with demos every cycle and one accountable lead.
4. Ship: Deployment to your infrastructure with docs and a clean handover.
5. Stabilize: 30 days of post-launch stabilization while real usage settles in.

#### FAQs

Q: What's the difference between a chatbot and an agentic AI product?

A chatbot answers questions. An agentic AI product takes action. It can reason through multi-step workflows, call tools, query databases, make decisions, and complete tasks end-to-end - with or without human approval in the loop. If your use case is "answer customer questions from a knowledge base," that's a chatbot. If it's "process this insurance claim, verify the documents, flag anomalies, and route to the right adjuster" - that's an agent.
