Enable autonomous execution across critical business workflows with Agentic AI
When execution breaks across handoffs, isolated AI features do not fix the workflow. Simform redesigns high value workflows for agent ownership, engineers the orchestration and context systems, and scales them with the AgentOps discipline required in productio
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Move beyond experimental to governed, production‑grade agentic AI
As a Microsoft Solutions Partner for Data & AI, Simform brings the cloud, data, AI, and governance rigor required to build agentic systems on real enterprise foundations. With proprietary accelerators such as ThoughtMesh, we bring reusable patterns for agent orchestration, enterprise knowledge grounding, evaluation, and governed deployment, helping teams move from isolated pilots to production-grade agentic workflows faster.
Agentic workflow transformation
Workflows that stall across fragmented ownership and manual decision points need to be restructured so execution can move continuously with clear accountability and measurable outcomes. We run a process intelligence audit to identify where delays, rework, and decision bottlenecks occur, redesign workflows around agent ownership and human intervention boundaries, and define transformation roadmaps tied to cycle time reduction, throughput improvement, and error minimization.
Multi-agent design & orchestration
Reliable autonomous execution depends on how agents coordinate, integrate with systems, and manage state across steps. We design multi-agent orchestration architectures while also engineering the runtime layers, integration patterns, and execution models required to run these systems reliably. This is accelerated through our ThoughtMesh accelerator which brings pre-built orchestration patterns, policy enforcement, and integration layers that help reduce time-to-value.
Enterprise knowledge & context engineering
Agents without consistent, secure, and validated access to business context create conflicting decisions, increase rework, and fail to maintain trust in execution. We design retrieval and grounding architectures that ensure agents operate on reliable context, build persistent memory across workflows, and enforce identity-aware access so every decision is both accurate and compliant with enterprise data boundaries
Agent lifecycle management
Agentic systems degrade quickly without continuous visibility into performance, cost, and decision quality as workflows evolve and scale. We establish the full operational framework covering how agents are versioned, evaluated, updated, and retired, alongside AgentOps tooling and responsible AI governance so every agent in production stays aligned, auditable, and cost-efficient.
Agent CoE, industrialization, and platform engineering
Orgs move from one off pilots to an AI factory when there is a central CoE and a shared platform that standardizes how agents are built, run, and scaled. We design and stand up that CoE, define delivery and ownership models, and architect the agent platform that provides common runtime, tooling, and guardrails across teams. This helps industrialize agentic AI, so new agents plug into the same patterns instead of starting from scratch every time.
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Hiren Dhaduk
Creating a tech product roadmap and building scalable apps for your organization.