framework · open source
Agentic Workflow Automation with Temporal
Agentic Workflow Automation built on Temporal, chosen where it genuinely fits, and swapped where it does not.
- Category
- framework
- Vendor
- Open source
- Alternatives we also use
- 9
Why Temporal for this
Automation that only handles the easy 60% creates more work than it removes. Someone still has to catch what fell through. We design for the whole distribution, with clean escalation where the agent should not decide.
Temporal is strongest at reliability guarantees for long-running, multi-step processes. For agentic workflow automation that matters because the failure modes of this kind of system tend to cluster exactly there.
The honest trade-off: operational complexity that only pays off once workflows genuinely span hours or days. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.
You own the code, the models where they are open-weight, and the documentation to run it without us.
The honest assessment
- What it is
- Durable execution for workflows that must survive crashes, restarts and long waits.
- Strongest at
- reliability guarantees for long-running, multi-step processes
- Trade-off
- operational complexity that only pays off once workflows genuinely span hours or days
- Category
- framework
We are not a reseller for Temporal and hold no commission on this choice. Where a different option fits your workload better, the recommendation will say so. That is the entire value of asking us.
What is included
- Process mapping and automation candidacy scoring
- Agent design per workflow stage
- Exception handling and escalation paths
- Approval gates with full audit trail
- Cycle-time and cost baselines, measured before and after
- Change management and team training
Questions
How is this different from RPA?
RPA follows fixed rules on fixed screens and breaks when either changes. Agentic automation reads context, handles variation, and escalates what it cannot resolve, so it keeps working when the process drifts.
How do you prove the ROI?
We baseline cycle time, touch count and cost per transaction before building, then measure the same figures after. The comparison is the deliverable, not a projection.
What if the agent hits a case it cannot handle?
It escalates with full context to the right human, and that exception feeds back into the next iteration. Coverage rises over time rather than being promised on day one.
Alternatives for agentic workflow automation
Same capability, different stack. Each page states its own trade-off.
What else we build on Temporal
Building with Temporal?
Bring us the workload and we will tell you whether this is the right stack for it.
Or email bd@dtrasglobal.com · call +91 74118 77878