AI copilots
Company-aware assistants that answer, draft, summarize, and take approved action across internal tools.
- Knowledge retrieval
- Tool-use agents
- Human review
Solutions for teams turning AI into operations.
AICube helps teams build the product system around AI: copilots, analytics, automation, and the trust layer that makes them usable in production.
1
Intent
User request, context, policy
2
Knowledge
Docs, warehouse, CRM, APIs
3
Agent
Reasoning, tools, review path
4
Control
Evals, audit, metrics, release
Solution areas
Four ways teams usually start
Each path can launch alone or connect into one larger AI operating layer.
Decision intelligence
Natural-language analytics that turns scattered product, revenue, and support data into decisions.
- Verified queries
- Narrative reports
- Alerting
Workflow automation
Repeatable AI workflows for operations, support, sales, and data teams that need observability.
- Approvals
- Triggers
- Rollback
Trust and governance
The control layer for permissions, evaluations, audit logs, model routing, and release confidence.
- Evals
- Access policy
- Monitoring
Delivery model
From workflow to production system
Map
Clarify the workflow, users, data sources, risk level, and success criteria.
Model
Design the agent graph, retrieval layer, tools, permissions, and evaluation plan.
Build
Ship the product interface, integrations, observability, and release controls.
Operate
Measure quality, adoption, latency, cost, and iteration loops after launch.
Who it serves
Built around the team that owns the outcome
AICube is useful when AI touches real operations, not just experiments.
Product teams
Turn prototypes and model demos into governed product surfaces.
Operations
Automate high-volume workflows without losing human approval and auditability.
Data teams
Expose trusted analytics through natural language and reusable semantic layers.
Support teams
Ground agents in knowledge, CRM, tickets, and escalation policies.
Solutions
Map your AI workflow into a product system
Bring the workflow, data sources, risk profile, and current prototype. We will help define what should ship first.