Work disappears between systems
A meter or billing exception becomes a chain of copied values, messages and untracked follow-ups.
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Workflow builder / flagship product
Turn the process in your team’s head into an operation you can see.
Energy work often crosses inboxes, billing systems, spreadsheets and specialist teams. Synapsi makes the trigger, AI decision, policy check, approval and action visible in one controlled execution path.
Interactive
Operating principle
Understand the event. Apply the boundary. Move the work forward.
Diagnose before automating
The process exists. It is just fragmented across people, rules and systems.
Rules are hard to change
Operating policy lives in documents and individual experience instead of an explicit, reviewable route.
Automation hides the failure
Teams can see that a run stopped, but not which input, permission or decision blocked it.
Questions we answer together
Can you trace a case from trigger to final customer update?
Which steps are deterministic, and which need bounded interpretation?
Where must a person approve before the workflow can continue?
Interactive workflow control
Build the route. Test the boundary. Watch every action land.
Move the cards, change tool access, approve or deny a request, then run the operator to see the budget and activity record respond.
energy-service-operator / controlled run ready to simulate
Granular Permission
5- Notify Billing Ops
- Read Tariff Policy
- Read Customer Case
- Send Service Update
- Update Energy Account
New request in #support
Service Desk
Operator
Budget
$2.40/ $50.00
Resets in 3 days5% Used
Activity
0 calls- Run the operator to see every tool call logged here.
Tool Request
PendingService Desk Operator wants to use Update User
Illustrative workflow. Production actions depend on the systems, permissions and approval rules configured for your deployment.
From pilot to operation
A controlled path to production.
The software is only one part. Reliability comes from the process, boundaries and failure paths designed around it.
01
Discover
Choose one owned process and map its real trigger, systems, owners and exception paths.
02
Build
Arrange the agent, tools, rules, approvals and outputs as one visual flow.
03
Simulate
Run ordinary cases and failure paths before any production action is enabled.
04
Release
Start with controlled volume, inspect run history and expand deliberately.
Potential operational outcomes
What better execution can change.
One visible path from event to outcome
Explicit human approval points
Less repetitive movement of information
Step-by-step execution history for review
Potential outcomes depend on process design, deployment scope, data quality, call or workflow volume, and the systems and permissions configured. They are not guaranteed performance claims.