DEBCOR ENGINEERINGPATENT PENDING · AGENT MEMORY ARCHITECTURE

Incoming query

“What is our current exposure to ACME Hydraulics if their credit rating drops two notches?”

Standard Agent
Incomplete

Technical Detail

What This Response Missed

  • •Entity fragmentation — one supplier seen, three actually exist
  • •Lost session memory — no recall of last week's earnings-warning flag
  • •Hallucinated reference data — quoted credit limit not in any system
  • •No provenance — confident answer, untraceable sources
Slipstream Agent
Grounded

Technical Detail

Architectural Advantages

  • ✓Entity resolution across S/4, Ariba, and legacy MM
  • ✓Persistent session memory — prior context surfaced automatically
  • ✓Live grounding with timestamped provenance per data point
  • ✓Reference data pulled from system of origin, not inferred

What just happened?

A breakdown of every failure mode the Standard Agent triggered

Failure modeStandard agentSlipstream
Entity fragmentation
•Saw one supplier where there are three
✓Resolved across S/4, Ariba, legacy MM into one consolidated entity
Memory continuity
•No recall of last week's earnings-warning flag
✓Surfaced prior session context automatically
Provenance
•Confident answer, no traceable sources
✓Every data point timestamped and source-tagged
Hallucinated reference data
•Quoted a credit limit that does not exist in any system
✓Pulled actual configured limit from KNKK with timestamp

The standard agent gave a confident, wrong answer based on one of three records. The Slipstream agent gave the right answer because it could see all three, remember last week, and prove every number.

Now run this on your own environment