Service
AI Agent Development & Workflow Automation
AI agents go beyond chat: they read systems, make decisions, take actions and escalate when unsure. NexusNao builds agentic systems with the safeguards production demands — bounded autonomy, audit trails, human approval steps and deterministic fallbacks.
Problems we solve
Sound familiar?
Teams drowning in repetitive multi-step processes across many tools
Chatbots that answer questions but can't actually do the work
Automation scripts that break the moment a process changes
Fear of giving AI systems uncontrolled access to business tools
Capabilities
What NexusNao delivers
Task-specific agents
Agents for triage, research, data entry, reconciliation, scheduling and reporting.
Multi-agent orchestration
Coordinated agent teams with planners, executors and reviewers for complex workflows.
Tool & system integration
Safe, permissioned connections to your CRM, ERP, helpdesk, email and internal APIs.
Human-in-the-loop controls
Approval gates, confidence thresholds and full audit logs for every agent action.
Agent observability
Tracing, replay and cost tracking so you always know what agents did and why.
Typical use cases
Where this lands first
- Customer support triage and draft-response agents
- Back-office document workflows (intake → validation → entry)
- Sales research and CRM enrichment agents
- Finance reconciliation and exception handling
- Internal knowledge assistants that take actions, not just answer
Recommended technology
Tools we reach for
- Claude Agent SDK
- LangGraph
- Model Context Protocol (MCP)
- TypeScript & Python
- Temporal
- Redis
Final technology choices are made per project, on evidence — never by default.
Delivery process
How the engagement runs
Map the workflow
Document the human process, decision points and failure modes.
Design autonomy boundaries
Define what the agent may do alone and what needs approval.
Build & evaluate
Implement with tool access, then test against recorded real cases.
Deploy with oversight
Launch with dashboards, audit trails and gradual autonomy expansion.
Benefits
What you get out of it
Hours of manual multi-tool work reduced to supervised minutes
Consistent execution with full auditability
Autonomy that expands only as trust is earned
Workflows that adapt to change instead of breaking
FAQ
AI Agents & Workflow Automation questions
Straight answers to the questions teams usually bring us.
How do you keep agents safe?
Agents run with least-privilege access, explicit tool allowlists, approval gates for consequential actions, and complete audit logs. Autonomy is expanded gradually based on measured reliability.
What's the difference between an agent and a chatbot?
A chatbot answers questions. An agent completes work: it can read your systems, follow a multi-step plan, take actions through integrations and escalate to a human when confidence is low.
Which workflows are good first candidates?
High-volume, rule-informed processes with clear success criteria — triage, intake, enrichment, reconciliation — where a human currently copies information between systems.
Related services
Often combined with
Intelligence, made operational.
Ready to talk ai agents & workflow automation?
Share where you are today. We'll respond with an honest read on feasibility, timeline and the fastest route to value.