Count
Know what is already moving.
Map agents, automations, vendor tools, prompts, permissions, and side experiments before they become invisible infrastructure.
Shepherds of agentic systems
Orchistra
A living field map for agentic work: see what is moving, set useful boundaries, read the weak signals, and bring outcomes back into judgement.
Field map
A clearer way to see agentic work in motion.
Orchistra gives leaders a practical map of the agents, automations, vendors, prompts, permissions, and workarounds already moving through the business.
It is less command centre, more attentive field craft: count what exists, set the hedges, watch for drift, and make sure useful work returns as records, decisions, and learning.
Shepherding patterns
From loose agents to a visible operating field.
Bound
Give autonomy a visible edge.
Set what each system can read, suggest, change, publish, spend, escalate, stop, and remember.
Return
Bring the work back into judgement.
Turn agent activity into records, decisions, exceptions, lessons, and next actions that leaders can inspect.
Operating temperament
Quiet enough to notice drift. Sharp enough to intervene.
Agentic systems do not need theatre. They need a rhythm that makes motion legible: what changed, what crossed a boundary, what looks odd, and what needs human judgement before small drift becomes operational damage.
Flock cadence
Count, guide, notice, return.
Before an organisation scales agentic work, leaders need a recurring rhythm for what exists, what changed, what crossed a boundary, and what needs judgement.
Count the flock
Map the agents, automations, prompts, vendors, and side experiments already shaping work.
Set the hedges
Decide what each agent may read, suggest, change, publish, escalate, spend, or stop.
Read the field
Watch for weak signals, stale assumptions, repeated exceptions, and quiet workarounds.
Bring it home
Turn agentic activity into decisions, records, lessons, and a rhythm that leaders can inspect.
Useful first conversation
Start with the work already moving.
Which agents, automations, vendor workflows, and quiet experiments are already shaping decisions, and who is actually shepherding them?