We build AI agents that complete multi-step tasks across your tools and systems—so work moves faster with clear controls, approvals, and auditability.
Designed and implemented by a software house focused on production delivery.
AI agents are a strong fit when automation requires reasoning, tool usage, and multiple steps—not just rules.
Workflows span multiple tools (CRM, support desk, billing, internal systems)
Tasks require checking context, applying logic, and taking actions in sequence
Teams lose time on repetitive operational steps (triage, updates, handoffs, follow-ups)
You need controlled automation with approvals and an audit trail
You want an internal agent to assist employees across standard operating procedures
AI agents are workflow executors that interact with systems through tools and APIs—not just chat interfaces.
CRM and sales workflows
Support desk triage and ticket routing
Internal admin panels and ops tools
Finance approvals and status updates
Custom internal APIs and databases
The difference between a demo agent and a production agent is control, safety, and measurable performance.
Tool permissions: what the agent can and can't do
Approval gates: human-in-the-loop for high-impact actions
Auditability: action logs, decisions, and workflow history
Safe fallbacks: defaults when inputs are unclear or tools fail
Timeouts and limits: prevent runaway steps and repeated failures
Regression testing: keep workflows stable as you iterate and expand
We design agents as workflow systems—not just prompts.
Define the process owner, success criteria, risks, and operational constraints.
Identify the APIs/tools the agent will use and define permissions and boundaries.
Validate task completion rate, failure modes, and operational cost early.
Implement the agent, action framework, and controls for real usage.
Deploy in phases, monitor outcomes, and improve based on real signals.
Deliverables vary by scope, but typically include:
Workflow definition, agent boundaries, and execution plan
Tool/API integration plan with role-based permissions
Agent prototype demonstrating task completion reliability
Guardrails, approvals, audit logging, and failure handling
Rollout plan with measurable success metrics
Common questions about AI Agent Development
A chatbot answers questions. An AI agent completes tasks by using tools and APIs—executing multi-step workflows with controls and approvals.
Yes. We design agents to integrate with your current product and internal systems through APIs and secure access controls.
We define strict boundaries, role-based permissions, approval steps, and audit logs—so actions are controlled and traceable.
Yes, when it's necessary. We recommend the simplest reliable design first, then scale complexity only if required.
Tell us about your needs, and we’ll build the right solution for you.
© SiGi 2014-2025. All rights reserved
© SiGi 2014-2025. All rights reserved