Enterprise AI Agent Development
Transform business operations with custom AI agents powered by Microsoft Copilot Studio, Azure OpenAI Service, and low-code workflow integration.
Core Service Capabilities
Designed and delivered by experienced Australian Microsoft solution architects.
Line-of-Business Integrations
Connect AI agents directly to SAP, Dynamics 365, Salesforce, and SQL databases via Power Automate and custom REST APIs.
Copilot Studio • APIsAutonomous Workflow Agents
Deploy agents capable of multi-step decision-making, approval routing, document generation, and intelligent triage.
Azure OpenAI • AutomationAustralian Sovereign Data
Host AI workloads within Australian Azure data centers (Australia East / Southeast) ensuring complete data sovereignty.
Data Sovereignty • SecurityMulti-Step Agentic Workflows & Tool Orchestration
Modern enterprise AI has moved beyond simple question-and-answer chatbots. We engineer autonomous, goal-oriented AI agents capable of reasoning, planning multi-step actions, querying backend line-of-business systems, and executing business workflows with deterministic reliability.
Copilot Studio & Semantic Kernel
We combine the enterprise governance of Microsoft Copilot Studio with the developer flexibility of Semantic Kernel and Azure OpenAI Service. Agents dynamically select the right tool or API based on user intent, break complex problems into sequential tasks, and verify intermediate results before responding.
- Dynamic Planning: Autonomous task decomposition with self-correcting fallback logic.
- Multi-Turn Memory: Contextual state management across complex, long-running business conversations.
- Multi-Agent Teams: Orchestrating specialist agents (e.g. Researcher, Data Analyst, Reviewer) working in concert.
Deterministic Function Calling & APIs
Agents interact with enterprise infrastructure using strictly typed JSON schema function calling. Rather than hallucinating answers, agents invoke authorized REST endpoints, Power Automate cloud flows, and SQL stored procedures with validated input parameters.
- ERP & CRM Actioning: Updating Dynamics 365 records, issuing SAP PO queries, and logging ServiceNow incidents.
- Schema Validation: Rigid Pydantic and JSON Schema input checking eliminating malformed payloads.
- Idempotency Controls: Ensuring automated actions do not double-bill or duplicate records upon retry.
Enterprise Guardrails, Red-Teaming & Human-in-the-Loop
Deploying autonomous agents without guardrails creates operational and legal risk. We build multi-layer defense-in-depth safety boundaries ensuring agents act strictly within designated policies and escalate sensitive decisions to human supervisors.
Human-in-the-Loop (HITL)
High-impact actions—such as approving financial disbursements, modifying production data, or transmitting client communications—require explicit approval via Teams Adaptive Cards before execution.
Prompt Injection Defense
Using Azure AI Content Safety and input sanitization layers, we neutralize direct and indirect prompt injection attempts embedded within untrusted external emails, PDF attachments, and user prompts.
Groundedness Evaluation
Every generated agent response is evaluated against retrieved reference ground truth using RAG Triad metrics (Context Relevance, Groundedness, and Answer Relevance), halting answers that cannot be verified.
Australian Sovereign Data Residency & Privacy Standards
Australian enterprises and government agencies must adhere to stringent privacy obligations under the Privacy Act 1988 and OAIC APP 11 guidelines. We engineer agent solutions that keep your data sovereign, confidential, and fully compliant.
Azure Australia East & Southeast Hosting
All model inferencing, embedding generation, vector databases, and agent memory state reside within Microsoft Azure Australia data centers (Sydney and Melbourne). Data never transits overseas jurisdictions or crosses international borders.
Meets Australian Government Protective Security Policy Framework (PSPF) requirements.
Zero Data Retention for Training
Under enterprise agreements with Microsoft Azure OpenAI, customer enterprise data, internal prompts, and generated completions are strictly prohibited from being utilized to train or fine-tune public foundation models. Your IP remains exclusively yours.
Encrypted in transit (TLS 1.3) and at rest (AES-256 with customer-managed keys).
Four-Stage Agent Development Framework
We transition your organisation from exploratory AI experiments to hardened, enterprise-grade production agents through our structured delivery methodology:
Agent Persona & Tool Boundary Scoping
Define agent roles, determine exact business permissions, draft system prompts, and identify the required API tools and database connectors.
Function Tooling & Semantic Integration
Develop OpenAPI tool definitions, configure Power Automate actions, build Azure Functions, and implement multi-turn state management.
Safety Red-Teaming & Benchmark Evaluation
Stress-test against malicious prompt injection, test out-of-domain edge cases, calibrate safety guardrails, and run automated evaluation suites.
Pilot Deployment & Telemetry Dashboard
Deploy to a controlled pilot user group in Microsoft Teams, capture telemetry in Azure Application Insights, and train internal champions.
Technical Prerequisites & Licensing
Before initiating custom agent development, confirm tenant subscriptions and cloud infrastructure:
Acceptance Deliverables Checklist
- Copilot Studio solution file or Semantic Kernel code repository
- OpenAPI tool specification and function calling schemas
- Red-teaming and prompt injection vulnerability assessment report
- Agent telemetry dashboard and operational maintenance runbook
Related Enterprise AI & Automation Services
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