The problem
Agents running on yesterday's data
Most enterprise AI agents are disconnected from operational reality. They query static data and respond to requests, but don't act proactively when a critical event occurs in your systems — the decision never arrives at the right moment.
Without real-time orchestration
Responses in hours or days, not seconds
No connection to live business events
Decisions based on stale, static snapshots
Siloed agents — no cross-departmental coordination
VS
With watsonx Orchestrate + Confluent
Triggered in < 50ms the moment an event occurs
Confluent broadcasts live business signals in real time
Decisions based on current system state, not snapshots
Alfred orchestrates all 7 agents in a unified view
"The real question is not whether you'll have AI agents — it's whether they'll act at the speed of your decisions."
Your AI workforce
Meet the team.
Governance & control
Autonomy with complete oversight
100%
Traceability
Every agent decision is logged and fully auditable
< 50ms
Event latency
Time from source event to agent trigger
Compliance
Native enterprise security frameworks
Access Control
Granular permissions per agent, domain and action
Full observability
Unified dashboard across all 8 agents with full decision history
Enterprise security
Encryption in transit and at rest, isolation per business domain
Native integration
Certified connectors for SAP, Salesforce, Workday, ServiceNow, Microsoft 365
How to get started
SIA puts your AI workforce to work
IBM provides the platform. SIA configures, deploys and operates your 8 agents in your enterprise environment using the ExpressWay® method. First delivery typically between 6 to 8 weeks.
An important point: agentic automation doesn't deliver its value by overlaying AI on your existing processes. Applying AI on an AS-IS process only reproduces inefficiencies faster. To capture real value, you must first reimagine your workflows — which is exactly why the first step of the ExpressWay® method is called Reimagine.
Reimagine
Workflow audit and event trigger mapping
Architecture
Confluent + watsonx Orchestrate layer design
Deployment
Agent activation and source system integration
Validation
Load testing, compliance audits, feedback loops
Operations
Continuous monitoring, agent improvement, skills transfer
Are you truly ready for autonomous AI?
Before deploying agents that act on their own, four fundamental questions deserve an honest answer.
Do your models actually learn and adapt?
How secure and reliable is your data foundation?
Who is accountable if a wrong decision is made?
Can you govern the system effectively?