Regular RPA follows fixed rules and breaks when a process varies. AI agents can reason through that variation, but letting them execute directly inside legacy, governed systems introduces risk most enterprises would rather avoid. Agentic RPA separates the two: agents reason, decide, and handle exceptions, while RPA performs deterministic system actions with full traceability. You […]
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Simform starts by mapping your current bot estate. We score each workflow on its exception rate, failure frequency, and the amount of unstructured data it touches. Processes that stall on variation or judgment become candidates for agents, while stable, high-volume, rule-based work stays deterministic. You get a sequenced portfolio that separates quick wins from the […]
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Simform builds agents that read and interpret documents, emails, and forms, classify them, and extract the fields a process needs. They handle the variation and inconsistent formats that break rule-based or template extraction. When a document falls below a confidence threshold, the workflow routes it to a person for review rather than leaving it unreviewed. […]
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Simform builds on a platform that fits your existing environment. Our deepest expertise is the Microsoft Power Platform, including Power Automate, Copilot Studio, and AI Builder, backed by Microsoft Solutions Partner designations and advanced specializations in AI Apps and AI Platform on Microsoft Azure. If you already run UiPath, we design the agentic and execution […]
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Every workflow defines the points where a person approves or reviews. Low-confidence cases, high-stakes decisions, and anything outside an agent’s defined scope route to a named owner instead of proceeding on their own. Each agent decision is logged and explainable, so when something needs correcting, you can see what the agent decided and why, then […]
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Simform builds drift detection and adaptive recovery into your hybrid workflows, so when a UI shifts, a schema updates, or a data format changes, they adapt with minimal manual rework. Alert pipelines and performance baselines flag accuracy drops early, so issues surface before they affect output. Feedback loops keep accuracy improving as your processes evolve, […]
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We verify agent output before a human ever sees it. Simform separates the evaluator models from the generators, so judgment stays independent, and agents cannot grade their own work. Every output is checked against its specification and acceptance criteria, then run through hallucination, security, and adversarial tests inside the development cycle. Spec-driven foundations set testable […]
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Simform runs the agents as one orchestrated system, so context travels with the work across planning, development, review, and release. Specialized dev agents cover frontend, backend, database, mobile, and UI work, with review, documentation, and tech-debt agents alongside your developers. ThoughtMesh coordinates them and grounds each agent in your engineering knowledge. The agents stay connected […]
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Simform encodes your policies as executable controls that run at the agent layer. Agents cannot generate or merge code outside the rules you set. High-stakes decisions are routed to humans through defined escalation paths, and a compliance mesh maintains an audit-grade trail of every agent’s action. Your IP stays protected because agents operate securely within […]
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For modernization, Simform points the agents at your legacy codebase first. They map dependencies and business logic and produce validated specifications and target architectures. NeuVantage drives the legacy analysis and 5R modernization paths, so the plan rests on a real reading of your systems. The same agents then generate and verify the modernized code against […]
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Simform builds the agents to operate inside your existing stack. Model Context Protocol layers securely connect them to your tools, repositories, and data, so they work in your real environment. CodeTools runs in VS Code alongside assistants like GitHub Copilot, adding context-aware agents for review, documentation, and infrastructure work. The agents fit your current pipelines […]
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A delivery engagement runs as one orchestrated multi-agent system across plan, design, develop, and verify, governed at every step. If you have done the advisory, we start from your readiness baseline, prioritized use cases, and roadmap, so the sequence is already set. If you have not, we will scope the first phase with you before […]
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