Automate complex, exception-heavy business processes with Agentic RPA
Scripted bots fail on exceptions and unstructured data, while AI agents alone introduce execution risk in legacy, governed environments. We engineer hybrid workflows that separate Agentic reasoning from RPA execution, build the integration and exception architecture, and govern autonomous process decisions with audit-grade controls.
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Move RPA beyond scripted tasks into intelligent, governed process execution
Most enterprise RPA programs stall where bots cannot handle process variation, unstructured inputs, and exception-heavy workflows. Agentic RPA combines AI reasoning with controlled RPA execution to achieve tasks that rule-based automation cannot. As a certified Microsoft Cloud AI Partner, Simform brings production-grade experience with Power Automate, Copilot Studio, and AI Builder to engineer a hybrid architecture where both layers operate as a governed system across your existing enterprise environment.
Automation opportunity assessment
Identify which existing RPA workflows benefit from agentic extension and which should remain deterministic, so every investment targets the processes with the highest measurable return. Our experts map your current bot estate against exception rates, failure frequency, and unstructured data exposure, then score each workflow for agentic extension versus deterministic retention. You get a sequenced automation portfolio that separates quick wins from workflows requiring architectural investment.
Hybrid workflow engineering
Extend automation coverage into processes that require contextual decisions, document interpretation, and cross-system coordination without replacing the RPA investments already in production. We architect workflows in which AI agents handle routing, classification, exception triage, and approval logic, while RPA bots handle high-volume, structured system actions. Our solution architects design the exception and escalation paths using Power Automate, Copilot Studio, AI Builder, or UiPath, depending on your existing environment.
Process governance and auditability
Preserve regulatory alignment and operational trust as business process decisions shift from human-driven to agent-driven execution. Simform designs governance structures that enforce role-based access, audit decision trails, confidence-based escalation, and human approval checkpoints throughout the process flow. Every autonomous routing decision, classification, or exception resolution is logged, traceable, and explainable for compliance, operations review, and continuous improvement.
Automation operations & resilience
Reduce the operational cost of running hybrid automation at scale by minimizing manual bot maintenance and improving resilience to process and system changes. Simform implements monitoring, drift detection, and adaptive recovery across your hybrid workflows so bots and agents adjust to UI changes, schema updates, and data format shifts without manual rework. Alert pipelines and performance baselines keep workflows accurate as processes, systems, and business conditions evolve.
RPA platform modernization
Unlock agentic capabilities by migrating legacy RPA environments to platforms with native AI integration and agent orchestration support. Simform assesses your current RPA platform for gaps in intelligent document processing, exception handling, and governance tooling, then rebuilds automation workflows on the target platform with staged switchovers and rigorous regression testing to protect process continuity and minimize operational downtime.
Agentic RPA engineering grounded in production
Simform brings dedicated process automation expertise and production-level Power Platform engineering to Agentic RPA engagements. As a Microsoft Solutions Partner and Azure Expert MSP with specializations in AI Apps and AI Platform on Microsoft Azure, we design hybrid automation architectures within the platform patterns, governance standards, and integration models that Microsoft enterprise environments require.
Clear layer ownership
Simform maps ownership before building. The AI layer owns judgment and routing, the RPA layer owns deterministic system actions, and humans own the edge cases. Handoffs run as defined contracts, so a failed workflow shows which layer broke.
Designed for exceptions
Simform designs from the exceptions that break your bots first, missing fields, odd formats, judgment calls, and maps each one to a resolution path. The working path is built around that map, so it holds on to the inputs that derail automation.
Power Platform depth
Simform's engineers have run agents and flows in production long enough to know the undocumented limits: where AI Builder accuracy drifts at scale, where Copilot Studio strains under multi-agent load, and how licensing behaves at high load.
Enterprise integration engineering
Most failures occur at the integration boundary. Simform brings integration engineering across Dynamics 365, SAP, ServiceNow, and custom middleware. Where no API exists, we automate the legacy UI and add retry logic so execution holds firm.
Extends existing RPA
Simform adds agentic reasoning to the RPA estate you already run, rather than replacing it, and fits the agent layer to your platforms, from Power Automate to UiPath. Existing bots keep running while coverage extends and the investment holds.
Assessment to delivery
The team that assesses your bot estate, maps your exceptions, and designs the architecture also builds, deploys, and operates your bot estate. No advisory-to-delivery handoff and no context loss as the engagement moves from the design phase into the production phase.
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Hiren Dhaduk
Creating a tech product roadmap and building scalable apps for your organization.