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Agentic AI

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.

Agentic readiness assessment and process intelligence audit Use case scoring and value prioritization framework Task decomposition and agent-first workflow redesign Human-in-the-loop boundary design and escalation paths Phased transformation roadmap with KPI and ROI benchmarks
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.

Agent role definition and capability boundary design Orchestration pattern selection and sequencing logic Agent runtime architecture across systems Tool interaction specifications and enterprise integration Deployed multi-agent system on target platform
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

Retrieval and grounding architecture design Semantic memory and context persistence across workflows Identity-aware data access and role-based context control Secure enterprise data integration with across systems Context validation frameworks and decision consistency testing
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 versioning and update governance framework Evaluation pipelines for task success and workflow KPIs Cost monitoring, optimization strategies, and budget enforcement Responsible AI controls and compliance documentation Deprecation and agent retirement protocols
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.

Centre of Excellence charter and operating model Agent pod structure, responsibilities, and delivery governance Shared agent platform with reusable components and patterns Agent managed services for continuous monitoring, incident response, and optimization Common processes for intake, lifecycle management, and scaled rollout

Trusted by the World's Leading Companies

“Simform rearchitected and modernized our subscription management & billing platform as part of the multi-phase development initiative. The team quickly understood our business requirements and delivered a modern, modular architecture aligned with our scaling needs. Without disrupting our operational workflows, Simform handled complex data migration with precision and supported our legacy modernization journey with seamless ERP integrations.”

Robel Yemane, Head of Engineering

Privilee

“Simform delivered our self-serve application, including an MVP, within the agreed timeline. Their exceptional expertise and dedication continue to impress as they develop new features and maintain the application. A remarkable partner in software development.”

Abhilash Kumar

Technical Product Manager

AI-Driven Digital Advertising Platform

“We are satisfied with Simform’s quality work. The team manages the project well – they’ve solved issues and improved their performance. Overall, they excel in their communication; they do it frequently and effectively through Slack and Microsoft Teams. They also use internal management tools.”

Jay Gajera

Project Manager

Next-gen IoT Solutions Company

“The Simform team are extremely proactive across the full delivery life cycle whether that is reviewing conceptual designs to offer different options for our consideration or identifying areas where future enhancements could be considered to improve the application performance or end user experience.”

Andrew Mills

Product Manager

Global Consulting Company

“From start to finish, Simform delivered a great project experience, even when the requirements were a bit ambiguous with some changes, they adapted, adjusted and got the job done. Code delivered was of a high standard and the delivery team was great top work with. I recommend Simform to my own network all the time.”

CTO

Accredited Business Finance Company

“The cloud migration was a great sucess. Very satisfactory, seamless and increased our productivity. The most impressive part about Simform is their dynamic and well-versed team. Anytime there was a concern, we were able to communicate and have it rectified immediately.”

Jim-deVarennes

President

Trusted Community Services Organization

“Simform was an invaluable partner in our system modernization, moving beyond analysis to deliver true product engineering advisory. They  analyzed complex legacy workflows into clear, validated, developer-ready user stories. The clarity and strategic consistency they introduced was foundational, directly influencing our cloud architecture and product design. Their work effectively accelerated our discovery phase and time to market.”

Director of Engineering

Datamark

“Simform led the discovery phase for our digital infrastructure overhaul, bringing a mix of deep technical expertise and a truly collaborative spirit. They took our complex requirements and turned them into a solid product blueprint and a clear, prioritized roadmap. Everything stayed on track thanks to their structured project management. The level of strategy and architecture they brought to the table gave us the certainty we needed to take the next steps.”

Department Manager

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Discover the many ways in which our clients have embraced the benefits of the Simform way of engineering.

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AI Driven Financial Analytics and Localization Platform

An AI-powered cloud platform built for a global appliance leader, delivering 60% faster reporting, 80% greater data accessibility, and 50% quicker localization—while auto-classifying reviews and generating region-specific packaging to enhance finance, customer insights, and market adaptability.

60% faster reporting and 50% quicker localization through automated insights and scalable packaging workflows.

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Global consultancy firm cuts analysis time by 80%, accelerating strategy with AI

Built InsightVault™, an LLM-powered platform on Azure to automate analysis of qualitative data across interview transcripts and research inputs, enabling structured, scalable, and context-aware insight generation to accelerate client strategy development.

Cut analysis effort by 80% and accelerated the transition from research to strategy.

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Supply chain giant reduced shipment costs by 20% with AI

Supply chain intelligence platform providing real-time visibility across logistics operations with AI/ML. It optimizes IoT device performance, predicts connectivity issues and allows data-driven decisions across extended shipping journey.

40% fewer connectivity disruptions and reduced delivery times through advanced AI-driven supply chain intelligence

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System loco
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EV truck charging network cuts billing cycles by 80% with Azure

Built a unified Azure data platform that automates billing, consolidates charging, financial, and operational data, and delivers real-time analytics and 99.99% uptime across an EV truck charging network.

Cut billing cycles by 80% and enabled real-time decisions across the charging network.

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EV charging network
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Hospitality platform cuts reporting time from minutes to seconds with Microsoft Fabric

Modernized reporting on Microsoft Fabric by unifying fragmented data across systems into a centralized platform, eliminating manual workflows, reducing dashboard load times from minutes to seconds, and enabling secure, scalable analytics across multiple operators.

Achieved up to 300x faster dashboards with secure, multi-operator analytics.

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Frequently Asked Questions

RPA follows fixed rules, generative AI and copilots respond to prompts, and chatbots answer within set flows. Agentic systems reason, plan multi-step work, use tools, and act toward an outcome under human oversight. Simform scopes each engagement around real autonomy, defining where an agent decides, where it acts on your systems, and where a human stays in control before anything reaches production.

Most agentic projects stall without a clear value case, production discipline, or cost control. Simform addresses these gaps by scoring use cases for measurable value and setting KPIs like cycle time and error reduction before any build. We then engineer for production with orchestration, evaluation, and AgentOps. Governance and cost monitoring are built in, so agents stay accurate, auditable, and cost-efficient at scale.

Agents connect to your current and legacy systems as an intelligence layer, so nothing needs to be rebuilt. Simform builds defined integration patterns across CRMs, ERPs, data platforms, and APIs, with identity-aware access that respects your data boundaries. On the Microsoft stack, Simform builds agents on Azure’s AI platform and follows Microsoft’s Well-Architected and Responsible AI frameworks for security and governance.

Agentic cost comes mainly from integration, the models and compute behind each agent, and ongoing operation at scale. Costs escalate when agents run without limits or expand beyond their original scope. Simform scopes agents to high-value workflows, monitors spend, and enforces budgets to control the total cost of ownership. We also tune model choice and orchestration so we spend more time on the value agents deliver.

Timelines depend on the workflow, but a focused first use case usually reaches production in a few months. Simform builds that first use case as a repeatable model. To scale, we stand up a shared agent platform and Center of Excellence. New agents reuse proven patterns, runtime, and guardrails instead of starting from scratch. AgentOps keeps them reliable as volume and complexity grow.

You rarely need to fix the entire data layer first. Agents do need reliable, governed access to the context a workflow depends on. Simform assesses data readiness while scoring each use case, then builds the retrieval, grounding, and access controls the workflow requires. Real gaps in quality or governance get fixed along the way, without a full data overhaul.

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Hiren-Dhaduk Hiren Dhaduk

Creating a tech product roadmap and building scalable apps for your organization.

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