Problem
An isolated chatbot cannot complete a multi-step business process. Useful agent workflows need defined tools, reliable context, permissions, observability, and clear escalation boundaries.
Agentic workflows
AI Agent Development Services
Connect AI assistants to the tools and context required for useful work.
Build AI assistants and agent workflows connected to approved data, business tools, guardrails, and human review steps.
Solution
TuneOnus designs agent workflows that coordinate tasks, use approved business systems, and preserve human control for sensitive decisions.
Services
Capabilities that can be included in a ai agent development engagement.
- Knowledge assistants
- Tool-connected agent workflows
- Support triage assistance
- Scheduling workflows
- Document processing
- Repeatable data and reporting assistants
Typical Deliverables
The exact deliverables depend on the agreed scope, product stage, and existing systems.
- Workflow and tool map
- Agent behavior definition
- Data and API connections
- Human approval steps
- Testing scenarios
- Deployment and operational handoff
Technology Stack
Relevant technologies already represented in the TuneOnus engineering stack.
How we work
Our Process
A practical path from early product decisions to launch and continuous improvement.
- 01Stage 1
Discover
Clarify the product goal, users, requirements, and constraints.
- 02Stage 2
Strategy
Define the scope, architecture, priorities, and delivery plan.
- 03Stage 3
Design
Shape user flows, interfaces, and testable product prototypes.
- 04Stage 4
Development
Build the product in focused, reviewable iterations.
- 05Stage 5
Testing
Review functionality, accessibility, security, and performance.
- 06Stage 6
Launch
Prepare the production release, deployment, and handoff.
- 07Stage 7
Improve
Use feedback and product needs to guide the next iteration.
Industries and Product Contexts
TuneOnus can support product and workflow challenges in these repository-verified contexts.
- Startups
- Enterprises
- Finance
- Retail
- Productivity
- Healthcare
AI Agent Development FAQ
Answers based on the services and capabilities currently documented by TuneOnus.
What is the difference between an AI agent and a chatbot?
A chatbot primarily exchanges messages. An agent workflow may also use approved tools, retrieve relevant information, coordinate steps, and route actions or decisions to people.
Can an AI agent include human approval?
Yes. Human review can be included before sensitive actions, external communication, or other workflow steps that should not be completed automatically.
What workflows can an AI assistant support?
Repository-supported examples include support triage, scheduling, document processing, knowledge retrieval, data analysis, reporting, and connected system workflows.
Related Services
Combine complementary engineering capabilities around one product goal.
Start with context
Contact TuneOnusDiscuss Your AI Agent Development Project
Share your product goal, users, current stage, constraints, and the technical support you need.