Solutions

Investigate complex work where evidence and judgement meet.

These solutions bring scattered evidence, specialist judgement, and accountable decisions into one governed workflow.

Solution

Root Cause Analysis

Coordinated investigation across systems, history and specialist analysis, so finding the cause does not depend on who happens to be available.

The operational problem
Root cause work is slow because the evidence is scattered: records in one system, history in another, domain judgement in a person’s head.
How agents change it
A primary agent gathers context, delegates specialist analysis, checks findings against domain rules and assembles the evidence behind its conclusion.
Where people stay in the loop
Proposed corrections route to a person for approval before anything is applied.

Solution

Work that depends on scattered documents, records and domain rules, turned into context agents can retrieve, reason over and act on.

The operational problem
The knowledge needed to make a decision exists, but locating and reconciling it takes longer than acting on it.
How agents change it
Enterprise knowledge is connected into a graph agents query during execution, so retrieval and action happen in the same run.
Enterprise knowledge automation
Recurring knowledge work such as lookups, reconciliations and summaries feeding a decision moves from manual effort to a governed agent workflow.

Solution

Multi-step operational processes with branches, exceptions, approvals and waits, including work that continues long past a single session.

The operational problem
Linear automation handles the happy path. Real processes branch, stall on exceptions and hand off between people and systems.
How agents change it
Conditional agent behaviour handles branches, human-in-the-loop covers the decisions people must own, and long-running execution carries work across waits.
Long-running agentic workflows
Work resumes where it left off rather than restarting at each handoff, so progress survives the gaps between steps.