Integration map with criticality and owner
Origin, destination, owner, and plan B for every flow — clear priority before firefighting.
IT stops discovering critical dependency only when integration fails at night. A structured diagnosis maps every flow — ERP, CRM, WMS, WhatsApp, sensors, BI — with origin, destination, frequency, owner, and operational criticality. Quick wins and risks become visible; leadership and IT decide what to build first with same map. Agent, copilot, or serious channel born on clear base — not point integration without plan B.
What blocks you today
Point fragile integrations; nobody knows who maintains or what breaks if connector fails. New AI demand points directly at legacy — deploy fear. Investment priority becomes debate without shared map.
What changes in practice
- Integration inventory with origin, destination, frequency, and owner
- Criticality classification for operations, finance, and service
- Quick win and bottleneck identification blocking copilot, agent, or IoT
- Plan B and contingency queue per critical flow
- Prioritized connector and change governance roadmap
Business outcome
Leadership and IT decide investment with single map — not loose system list. Integration incident has owner and plan B; deploy stops being blind risk event. Next AI module plugs where operations already knows what depends on what.
Where it usually fits
- Companies with legacy ERP and dozens of ad hoc integrations
- Operations wanting copilot, agent, or IoT but not knowing where to integrate
- Lean IT firefighting without criticality view
- Groups in merger or expansion with different systems per unit
- AI projects stalled by fear of impacting core
How it evolves next
With closed map, you can execute priority connectors, event bus, or AI pilot on highest-return flow.
- Event bus to decouple legacy without rewriting ERP
- Proactive API and queue monitoring on mapped critical flows
- Blueprint and POC on use case map revealed as quick win
- Unified executive dashboard on already prioritized destinations
- Production AI architecture aligned to critical integration points
Point fragile integrations?
Nobody knows who maintains or what breaks if connector fails? Let's talk — diagnosis and proof before the big investment.