Copilot Agents
Design, build, and operate reliable AI agents on Azure with your data, tools, and enterprise guardrails - delivered for Teams, web, and mobile.
What we deliver
We create task-focused Copilot agents that automate help-desk triage, knowledge answers, operations checklists, and line-of-business workflows. Each agent is grounded on your content, executes safe tools/actions, and respects identity, data boundaries, and audit requirements.
- Azure OpenAI Assistants/Reasoning models with structured output
- Retrieval-augmented generation via Azure AI Search and vector stores
- Tool calling into APIs, databases, and systems with least-privilege
- Human-in-the-loop: approvals, handoff to agents or people in Teams
Key capabilities
Grounded intelligence
- RAG with chunking, citations, and source-links
- Freshness policies and access-aware retrieval
- Domain toolkits and business glossary alignment
Actionable workflows
- Tool calling with guardrails and retries
- Multi-step planning, memory, and state
- Approvals, escalations, and handoffs in Teams
Omni-channel delivery
- Microsoft Teams, web widgets, and mobile
- APIs and webhooks for system-to-system flows
- Embeddable components and SDKs
Security, governance, and trust
Enterprise identity & access
- Entra ID SSO, RBAC, Conditional Access
- Least-privilege service principals and managed identities
- Role-scoped tools and data access with audit trails
Data boundaries & safety
- No training on your prompts or completions; encryption in transit/at rest
- PII minimisation, content filters, redaction where required
- Private networking: VNets, private endpoints, Key Vault
Evaluation & quality
- Prompt tests, red-team scenarios, safety scorecards
- Reference answers and grounded correctness checks
- Regression suites with cost/latency budgets
Observability & SLOs
- Traces with prompts, tokens, tool calls, and outcomes
- Dashboards for success rates, deflections, and CSAT
- Cost controls, rate limiting, and fallbacks
Deployment models
Teams-first
Surface agents as Teams apps/bots with Entra auth, adaptive cards, approvals, and notifications.
Web & mobile
Embed widgets in portals and mobile apps. Offer APIs/webhooks for system-to-system automations.
Backend agents
Headless agents orchestrated via queues and schedulers for batch/async back-office processes.
Integrations and data
Microsoft 365 + business data
- SharePoint, OneDrive, Teams, Exchange, Planner
- Dataverse, Dynamics, and Graph API integrations
- RBAC-aware retrieval and citation controls
LOB systems & data platforms
- REST/GraphQL backends, SQL, Data Lake, Cosmos DB
- Azure AI Search, vector stores, and event streams
- Tool adapters for CRM, ITSM, ERP, and custom APIs
Packages
Pilot (IRO-CA-L)
- Use-case discovery, risks, and success criteria
- Prototype agent with RAG + 1-2 tool integrations
- Safety baseline, eval harness, and dashboard
Production (IRO-CA-P)
- Hardened agent with identity, logging, and SLOs
- Observability, cost controls, and rollout playbook
- Teams/web channel, approvals, and handoffs
Scale (IRO-CA-X)
- Multi-agent patterns and shared toolchains
- Guardrail policies, eval suites, and A/B testing
- Change management and adoption metrics
FAQs
Which models do you support?
We primarily deploy on Azure OpenAI for enterprise controls, with options for reasoning models where beneficial. We align model choice to your safety, cost, and latency targets.
How do you keep answers accurate?
Grounded retrieval with citations, tool-verifiable steps, and evaluation suites reduce hallucinations. We also implement guardrails and human approval for sensitive actions.
Where does the data live?
Data remains in your Azure tenancy with network isolation and encryption. We avoid storing unnecessary PII and keep prompts/outputs auditable.
Can we start small?
Yes. Our Pilot package validates a single use case end-to-end with clear success criteria and a path to production.
Discuss your agent use-cases
We’ll help scope value, risks, and a pragmatic rollout plan across Teams, web, and back-office.
Contact us