Capability

Agentic Workflow Automation across India

End-to-end business workflows run by AI agents, with approvals, audit trails and measurable cycle-time reduction.

Industries: 30
Stack options: 10
Typical first release: 6 weeks

What agentic workflow automation means when we build it

We baseline your cycle time and cost before we build anything, so the business case is measured rather than asserted. If a workflow is not worth automating, we will tell you in week one.

Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Multi-model by default, so a provider outage is a routing decision rather than an incident. We hand over with runbooks, tests and a team that knows how it works, not a dependency.

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

Who this is for

We usually work with COOs, process owners, shared services heads and operations managers, the people who own the outcome rather than the tooling decision.

Variants we build

approval workflows exception handling straight-through processing back-office automation SOP automation

Agentic Workflow Automation by industry

Each sector changes the constraints, regulation, systems of record, and what a wrong answer costs.

Agentic Workflow Automation, stack options

We pick per workload. Each page states the honest trade-off.

Agentic Workflow Automation across India

Delivered remotely from our hubs, the city page tells you the nearest one and the realistic kickoff time.

Tamil Nadu Uttar Pradesh Maharashtra Kerala Karnataka Andhra Pradesh West Bengal Gujarat Rajasthan Odisha Bihar Madhya Pradesh

Questions we get asked

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.

Considering agentic workflow automation?

Tell us the workflow and the constraint. We will tell you honestly whether it is worth building.

Talk to an engineer WhatsApp us

Or email bd@dtrasglobal.com · call +91 74118 77878