It's Microsoft's platform to build enterprise AI agents that converse inside Microsoft 365 — in Teams, Outlook, SharePoint, Word or external portals. It combines low-code (visual designers for flows and topics) with pro-code (.NET extensions, custom connectors, plugins and bring-your-own models via Azure AI Foundry).
Native connectors to Microsoft Graph, Dataverse, Power Platform, SharePoint Sites.Selected and models hosted in Azure OpenAI — including GPT-4.1, GPT-4o, the o-series, Phi and open-source models via Azure ML.
Instead of building a chatbot from scratch, you inherit: identity (Entra ID), permissions (SharePoint Sites.Selected), governance (Microsoft Purview), DLP (Data Loss Prevention), sensitivity labels and audit (Microsoft 365 audit log) — everything your IT team already manages.
Live cases in mining, ESG governance, regulatory compliance and operations — all inside the customer's Microsoft tenant.
Problem: teams spend hours hunting for policies, procedures and reports.
Solution: Copilot agent grounded on SharePoint Sites.Selected. Direct citation to document, page and section. Inherited permissions — users only see what they could already see.
Result: 60–80% reduction in document search time.
Problem: dam engineers need to query GISTM, ANM 95, ANM 175 and protocols during meetings and inspections.
Solution: agent published as a Teams app, voice and text, integrated with calendar, OneDrive and channels. Mandatory citation on every answer.
Result: instant access to the right standard, in the right channel.
Problem: compliance mailbox gets hundreds of evidence requests per week.
Solution: Copilot + Power Automate classifies, applies a Purview sensitivity label, drafts a policy-based response and escalates to a human on sensitive cases.
Result: no missed regulatory deadlines, traceable for audit.
Problem: ESG audits require document traceability under standardized criteria.
Solution: Copilot with RAG pipeline on curated evidence, integrated Power BI dashboards, automated report export to external auditors.
Result: evidence in 1 click, gap analysis in hours, not weeks.
Problem: work-order, inspection and water-KPI data lives in Dataverse — usage depends on click-through Power Apps.
Solution: Copilot reads and writes to Dataverse via native connector, triggers Power Automate flows, returns inline Power BI charts.
Result: conversational operations. "Show overdue work orders in Mariana" → answer + chart.
Problem: new hires must learn internal policies, code of ethics, safety procedures.
Solution: agent in Teams/Viva, with interactive quizzes, progress tracking and citation of official documents. Multilingual (PT/EN/ES).
Result: measurable onboarding, with proof of reading and comprehension.
Problem: water data lives in spreadsheets, SCADA and PDF reports — analysis is manual and slow.
Solution: Copilot integrated with Azure Data Lake + Fabric, reads SCADA via Logic Apps, analyses balances with engineering prompts.
Result: water KPI in conversation, not in a spreadsheet.
We don't sell licenses. We deliver the agent — shipped, governed, and adopted.
Voice, scope, refusal and ritual document — adapted to the customer's Purview policies and SharePoint taxonomy. 2 weeks.
Source inventory, versioning, provenance and curatorial inbox. RAG over documents you actually trust. 1–2 weeks.
Copilot Studio published inside the customer tenant. Connection to SharePoint (Sites.Selected), Dataverse, Power Platform and Azure OpenAI. 2–3 weeks.
Refusal patterns, PII handling, prompt-injection defences, grounded answers, human-in-the-loop on sensitive actions.
Scenario evaluations in PT/EN, adversarial prompts, regression at every knowledge-base update and a human-signed quality report.
Train the customer's M365 team to operate, curate and extend the agent — no long-term Data Riders dependency.
Honest comparison with the other stacks we ship.
Not sure which stack fits? Talk to RIDE Agent or visit Build Your Agent for the full method.
Microsoft's low-code/pro-code platform to build enterprise AI agents that converse inside Microsoft 365 — in Teams, Outlook, SharePoint and external channels — with native integration to Azure OpenAI, Microsoft Graph, Dataverse and Power Platform.
Data Riders ships Copilot Studio agents to production in 4 to 8 weeks, including editorial discovery, secure connection to the customer's Microsoft 365 tenant, RAG over curated evidence, red-team and internal team enablement.
No. The agent runs entirely within your Microsoft 365 tenant. Azure OpenAI processes in the region of your choice (Brazil South, EU or US), with optional EU Data Boundary. Purview policies, DLP and sensitivity labels apply automatically.
Yes — Copilot Studio is the ideal path when your organization already uses Microsoft 365, Teams, SharePoint and Entra ID. For companies on other stacks we recommend AWS Bedrock, Google Vertex AI or private deployment. See Build Your Agent for a comparison.
Data Riders works as a specialized integrator on Microsoft AI solutions for the mining and ESG governance sectors, aligned with Microsoft Cloud Adoption Framework and Microsoft AI Tour practices. Partnership details available under NDA on request.
Via Azure AI Foundry: GPT-4.1, GPT-4o, GPT-4o mini, the o-series (deep reasoning), Phi (small models for edge), plus Llama, Mistral and Cohere. Choice is driven by use case, cost and regulatory requirements.
We bring the method. You bring your tenant, your data and your compliance team. In 4 to 8 weeks an agent lives in Teams, Outlook or SharePoint — governed, citation-first and audit-ready.
Free discovery call • 30 minutes • No commitment