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Documentation Index

Fetch the complete documentation index at: https://developers.klarity.ai/llms.txt

Use this file to discover all available pages before exploring further.

A platform lead, AI architect, or transformation owner asks where to focus next. This is the “spin up multiple agents to scan the entire process tree” use case — agents should fan out in parallel across the hierarchy.

Example prompts

  • “Find the highest-leverage automation opportunities in our P2P value stream.”
  • “Where in our close cycle should we focus next?”
  • “Scan our org for duplicate invoice processing across geographies.”

End-to-end recipe

1

Confirm the workspace

Call list_accessible_workspaces and switch if needed.
2

Build the work queue

Call get_process_hierarchy_tree — the whole tree, or filtered to the value stream of interest. The leaves become your work queue.
3

Fan out in parallel across leaves

For each leaf:
The MCP is stateless per call. There’s no penalty for parallel reads — fan out aggressively.
4

Hunt high-leverage patterns in the graph

Call search_knowledge_graph for patterns: “manual approval”, “duplicate entry”, “data re-keying”, “exception handling”, “swivel-chair workflow”. Then explore_graph_neighbors on each pattern entity to see which processes and systems touch it.
5

Check workspace metadata

Call get_attribute_configurations to look for “automation status”, “system of record”, “control level”, or similar attributes that help rank candidates.
6

Avoid duplicating prior Advisor work

Call list_objective_findings. If Advisor has already analyzed this area, call get_objective_context_bundle to load prior thinking and build on it. If not, surface a fresh candidate set.
7

Confirm each top candidate

For each top candidate:
8

Synthesize a ranked candidate set

Process IDs, observation counts, dependency depth, similarity to known patterns, evidence trail.
9

Cross-check vendor tooling (optional)

Call research_web on the highest-ranked candidates to see if there’s published vendor or framework guidance worth pulling in.

What to surface in the brief

  • A ranked list of candidate processes
  • For each: observation count, dependency depth, pattern signal
  • Citable process IDs and observation timestamps
  • Gaps where the workspace doesn’t have enough evidence yet