Build AI Assistants for Business Workflows
Practical AI assistants and agents that help employees find information, complete tasks, and decide faster.
What we're usually called in to fix
Manual, multi-step processes — approvals, reconciliation, case handling — span multiple systems and still require a human to stitch every step together.
What changes once it's live
End-to-end automation that goes beyond simple RPA: agents that read context, apply judgment within defined guardrails, and act across your ERP, CRM, portal, or legacy applications.
Scope of engagement
- Process discovery and automation feasibility mapping
- Agent design with explicit guardrails, escalation paths, and audit logging
- Integration with core systems: ERPs, CRMs, Liferay portals, legacy Java applications
- Human-in-the-loop review for high-risk decision points
- Monitoring, versioning, and change-management for deployed agents
Our process for this engagement
Map
Document the process end-to-end: systems touched, decision points, exception paths.
Design
Architect the agent workflow with clear guardrails and human checkpoints.
Build & integrate
Connect the agent to live systems in a controlled staging environment.
Deploy & monitor
Go live with logging, monitoring, and a rollback plan; iterate based on real usage.
How Engagements Are Scoped
Every engagement is scoped after understanding your current environment, business priorities, systems, governance requirements, data readiness, and adoption goals.
Cygnite typically starts with discovery or readiness assessment, then recommends the right path: pilot, phased implementation, rollout, managed support, or a dedicated delivery model.
Book a Discovery CallFocused pilot or phased implementation based on business workflow, knowledge sources, system access, and integration needs.