Deliver agentic solutions that execute real workflows - tool-enabled agents, multi-step orchestration, approvals, and observable operations for business-critical use cases.
Agentic AI solutions go beyond generating text: they combine a model with tools, state, and workflow logic so tasks can be executed end-to-end. OpenAI describes agents as systems that accomplish tasks by using tools and additional context, and it provides an Agents platform (including AgentKit and the Agents SDK) designed for building and operating agent workflows with tracing and monitoring.
LW IT Solutions designs and delivers orchestrated agent workflows that are safe and supportable. We focus on real operational outcomes - triage, routing, summarisation, retrieval, and controlled actions across systems - while implementing governance: least privilege, approval gates for high-impact actions, and robust observability. Where Microsoft platform alignment is required, we can also design agent solutions using Microsoft Foundry/Azure AI Foundry agent services and related frameworks, scoped to your environment and compliance requirements.
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Service Overview
Highlights
- Tool-enabled agents executing controlled actions across systems
- Multi-step orchestration with state, context, and decision logic
- Human-in-the-loop approvals for high-impact operations
- Built-in tracing, logging, and operational visibility
- Designed for supportability and ongoing change
Business Benefits
- Execution of real multi-step workflows rather than single prompt interactions
- Reduced manual coordination through agent-led triage, routing, and controlled actions
- Lower operational risk via approval gates and least-privilege tool access
- Improved trust and auditability through tracing, logging, and observable behaviour
- Reusable agent patterns that allow new workflows and tools to be added without rework
Typical use cases
- Support or operations triage with automated analysis and routing
- Case handling workflows requiring data retrieval, summarisation, and decisions
- Approval-driven actions such as account changes or record updates
- Knowledge-heavy processes using retrieval augmented generation with citations
- Repeatable operational workflows that currently rely on manual coordination
Objectives & deliverables
What Success Looks Like
- Automate multi-step operational workflows that currently require manual coordination and context switching
- Increase throughput and consistency in triage, analysis, and routing processes (e.g., support, operations, compliance)
- Enable safe tool-enabled actions with approvals and evidence capture (reduce risk while still delivering automation)
- Improve user trust through tracing, citations (where RAG is used), and observable operations
- Create a repeatable pattern so new workflows and tools can be onboarded without rewriting the architecture each time
What You Get
- Agentic workflow design pack: scope, boundaries, tools, and governance model
- Implemented orchestrated workflow (agent logic + tools) for the agreed use case(s)
- Operational pack: tracing approach, logging, runbooks, and support ownership model
- Quality pack: acceptance criteria and evaluation approach (including regression tests where required)
- Backlog: next workflows, tool expansions, and hardening items for production scaling
How It Works
- Discovery - confirm workflow scope, stakeholders, risk constraints, and success measures.
- Design - define orchestration logic, tool boundaries, approval gates, and observability requirements.
- Build - implement the workflow and tool integrations (including MCP where appropriate).
- Validate - test quality, safety boundaries, negative paths, and operational behaviours; tune and harden.
- Operationalise - establish monitoring, runbooks, change governance, and ownership model.
- Handover - enable owners and agree the roadmap for additional workflows and tool onboarding.
Engagement Options
- Proof of Value - Single workflow implemented to validate feasibility and operating model
- Use Case Delivery - One or more production-ready agent workflows for defined scenarios
- Platform Build - Foundation architecture and patterns to support multiple agent workflows
- Advisory Support - Design review and governance input for in-house agent development
Common Bundles
Customers who use this service often bundle with these services
OpenAI Agents (AgentKit) & Agents SDK Builds
Build production-grade OpenAI agent workflows using AgentKit and the Agents SDK, with tool integration, tracing, evaluation, and controlled operations.
MCP Server Builds & Tool Integrations
Build secure MCP servers and tool integrations that expose data and actions to AI agents with governed access and deployment.
Prompt Evaluation & Testing
Prompt evaluation and testing service defining acceptance criteria, golden datasets, regression checks and quality metrics to control AI outputs.
RAG / Chat with Your Data
Build governed RAG chat with your data solutions using secure retrieval, permissions-aware context, and measurable answer quality controls.
API & System Integrations
Design and implement API integrations connecting business systems with secure authentication, retries, logging, and supportable middleware patterns operations.
Frequently Asked Questions
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