An agent that runs your workflow and shows every step it took
SentientWorks AI breaks multi-step back-office jobs into discrete, logged actions. You see what ran, which tool it called, what it decided, and why.
How the agent sees your workflow
Each workflow is modeled as a sequence of typed actions. The orchestration layer assigns the right tool to each step, retries on transient failures, and hands exceptions to a human queue rather than silently failing.
Workflow definition and trigger setup
You describe the workflow in plain language or import an existing SOP. The platform converts it to a step graph: each node is a typed action (read, transform, write, notify), with inputs and outputs explicitly declared.
Triggers can be scheduled, webhook-based, or manually fired from your dashboard. No code required at this stage.
Agent architecture and tool orchestration
The orchestrator spawns sub-agents for each step. Each sub-agent holds a single tool call and a narrow context window, which means errors stay local and the audit trail is clean by construction.
Integrations are typed connectors: the agent never guesses what an API returns. Every field is declared before the run starts.
Exception routing and human-in-the-loop
When a step cannot proceed with confidence, the agent pauses, writes a structured exception with context and evidence, and routes it to your configured review queue. The workflow resumes automatically once a human confirms or overrides.
Nothing is silently skipped. Every exception becomes a data point your team can act on.
The anatomy of a run log
Every workflow run writes a timestamped record of each step: what tool was called, what it returned, how long it took, and what the agent decided next. Row 3 below shows a real exception capture in context.
Works with the tools your team already relies on
Pre-built typed connectors mean the agent never guesses what an API returns. Add a custom webhook for any tool not on the list.
More connectors added monthly. Enterprise plans include custom connector development.
Exceptions are designed in, not bolted on
Most automation fails silently, or worse, proceeds incorrectly. SentientWorks AI treats every deviation as structured data your team needs, not a failure to hide.
Every deviation is captured with context
When a step cannot proceed, the agent writes a structured record: what it expected, what it found, and which rule was violated. This is not a log line. It is actionable evidence.
Routing is configurable, not hardcoded
Exceptions route to the person or queue that owns that category of decision. A vendor mismatch goes to procurement. A payment discrepancy goes to finance. You define the rules once.
Human decisions feed the audit trail
When a reviewer approves or overrides, that decision is recorded alongside the original exception and the run outcome. Over time, your team builds a library of edge cases that informs better rules.
Compliance teams get a real audit log
Every run produces an immutable, timestamped trail: who triggered it, what each step did, what exceptions occurred, and what a human decided. Export-ready for your auditors on request.
Ready to automate your first workflow?
Start free with 3 active workflows. No credit card required. Your first run log is waiting.