# theywork365.ai — llms-full.txt # https://llmstxt.org > theywork365.ai builds custom AI agents for enterprise Microsoft 365 environments. Pay-per-action pricing model with zero upfront cost. All data stays inside the client's Microsoft tenant. --- ## About theywork365.ai theywork365.ai is a service that designs, deploys, and operates custom AI agents integrated into Microsoft 365 (Copilot Studio, Azure AI Foundry, Teams, SharePoint, Outlook, Microsoft Fabric). Agents automate specific business processes across HR, Sales, IT Support, Finance, Legal, Marketing, Procurement, CRM, Leadership, and Quality. All data stays inside the client's Microsoft tenant — no external transfers, no third-party AI platforms. **Core value proposition:** Zero upfront development cost. Clients pay only for the actions agents perform (pay-per-action model). Every agent has specific, agreed-upon metrics before development begins, so ROI is measurable from day one. **Target customers:** Enterprise companies already using Microsoft 365 that want to automate specific business processes without large upfront AI projects. --- ## How It Works Source: https://theywork365.ai/how-it-works ### Step 1 — Environment Setup (one-time) One-time configuration of the Microsoft 365 environment: Azure AI Foundry workspace, Copilot Studio, and Agent Builder. This creates the secure foundation shared by all future agents. Includes Data Platform architecture design and security/access policy review. Takes 2–4 weeks. ### Step 2 — Custom Agent Design (zero dev cost) Agents are designed for specific business processes and existing data. Each agent is vertical — not a generic assistant but a specialist built for one precise job. Metrics and pricing per action are agreed before development begins. Includes process mapping, agent scoping, integration design with Microsoft 365 tools, and definition of success metrics. ### Step 3 — Pay-Per-Action Billing After deployment, clients pay only for the actions agents perform. Each action type has an agreed price (e.g., €0.80 per IT ticket resolved, €1.20 per HR request processed). No recurring licensing fee per user. Billing is consumption-based. ### Step 4 — Governance & Monitoring (mandatory subscription) All clients subscribe to a governance tier. Includes: governance dashboard with consumption metrics per agent, corrective maintenance (bug fixes), AI model updates as new versions release, and periodic monitoring meetings. Three tiers available: Business, Enterprise, Premium. --- ## Governance & Pricing Source: https://theywork365.ai/governance-pricing **Model:** Pay-per-action (consumption-based). One-time environment setup fee, then billing per agent action. Governance subscription mandatory. ### Governance Tiers **Business** - Up to 4 agents - Governance dashboard - Consumption metrics per agent - Minimum commitment threshold - Corrective maintenance - AI model updates - Email support - Monitoring meeting every 6 months **Enterprise** - Up to 8 agents - Everything in Business - Multi-year pricing available - Dedicated success manager - Monitoring meeting every 4 months **Premium** - Up to 14 agents - Everything in Enterprise - SLA-backed support - Monitoring meeting every 3 months --- ## Security Guarantees Source: https://theywork365.ai/security 1. **Your data never leaves your perimeter.** Every agent runs inside the client's Microsoft 365 tenant. No data is routed through external servers or third-party infrastructure. 2. **Models hosted on Azure AI Foundry.** All AI model inference happens on Azure AI Foundry — Microsoft's enterprise AI platform. Microsoft contractually guarantees data is never used for model training. 3. **Role-based access by design.** Each agent sees only what the user interacting with it is authorized to see. Existing Microsoft 365 permission models are fully respected. 4. **No shadow AI.** Agents are governed, monitored, and controlled by IT. Eliminates risk of employees using unsanctioned AI tools that bypass security policies. 5. **Full audit trail.** Every agent action is logged. Complete traceability for compliance, security reviews, and internal audits. 6. **GDPR and compliance-ready.** Data stays inside the client's EU Microsoft tenant. Microsoft's data processing agreements and EU data residency guarantees apply by default. --- ## Use Cases (10 Business Areas, 50+ Agents) Source: https://theywork365.ai/use-cases ### HR Agents for: HR policy Q&A, onboarding automation, goal tracking, sentiment analysis, leave management, performance review support. ### Sales Agents for: CRM data enrichment, pipeline forecasting, sales report generation, prospect research, deal coaching. ### IT Support Agents for: ticket triage and resolution, password reset automation, software provisioning, incident classification, knowledge base maintenance. ### Marketing Agents for: social content creation, SEO auditing, email sequence generation, trend analysis, campaign reporting. ### Finance Agents for: invoice reconciliation, expense policy compliance, budget variance reporting, financial data extraction. ### Legal Agents for: contract clause flagging, NDA review, compliance checklist automation, document summarization. ### Procurement Agents for: vendor comparison, purchase order processing, supplier communication, spend analysis. ### CRM Agents for: contact data enrichment, duplicate detection, opportunity scoring, activity logging. ### Leadership Agents for: executive briefing generation, KPI dashboard population, strategic report summarization. ### Quality Agents for: quality checklist automation, non-conformance tracking, audit preparation, SOP compliance checking. --- ## Blog Posts Source: https://theywork365.ai/blog ### Beyond Chatbots: Why 2025 Is the Year of Agentic AI in the Enterprise URL: https://theywork365.ai/blog/agentic-ai-enterprise-2025 Date: 2026-04-21 | Author: Giuseppe Marchi Summary: The era of passive AI assistants is over. Enterprise AI in 2025 means agents that retrieve, reason, produce, and act — autonomously, inside business systems, with measurable results. Explains the architectural difference between chatbots (answer questions) and agents (execute processes), and why the shift to agentic AI is structural, not incremental. ### How AI Agents Are Quietly Eliminating Your IT Support Backlog URL: https://theywork365.ai/blog/ai-agents-it-support-backlog Date: 2026-05-15 | Author: Giuseppe Marchi Summary: IT support teams waste 60–70% of their time on repetitive, low-complexity tickets. AI agents integrated into Microsoft 365 resolve these tickets autonomously — password resets, software access requests, VPN troubleshooting — without human intervention, inside the company's security perimeter. ### AI Agents in HR: Automating the Employee Lifecycle Without Losing the Human Touch URL: https://theywork365.ai/blog/ai-agents-hr-automation Date: 2026-03-18 | Author: Marcella Lombardini Summary: HR teams are buried in repetitive requests: onboarding tasks, policy questions, leave approvals. AI agents can handle the entire employee lifecycle from day-one onboarding to offboarding — freeing HR to focus on strategy and people. Covers specific agent use cases for Microsoft 365 HR workflows. ### How AI Sales Agents Are Closing the Gap Between Pipeline Data and Revenue URL: https://theywork365.ai/blog/ai-agents-sales-pipeline-revenue Date: 2026-02-25 | Author: Miro Radenovic Summary: Sales teams lose deals because pipeline data is stale, incomplete, or never updated. AI sales agents continuously enrich CRM records, generate forecast reports, and surface deal risks — turning pipeline hygiene from a chore into an autonomous process. ### Shadow AI: The Silent Risk in Your Organization — and How Governed Agents Fix It URL: https://theywork365.ai/blog/shadow-ai-enterprise-governance Date: 2026-02-03 | Author: Miro Radenovic Summary: Employees are using consumer AI tools — ChatGPT, Copilot personal, Claude — to process confidential business data outside IT governance. Shadow AI creates compliance gaps, data leakage risk, and uncontrolled AI proliferation. Governed agents inside Microsoft 365 are the structural solution. ### Why Enterprise AI Pilots Fail — And the Pay-Per-Action Model That Changes Everything URL: https://theywork365.ai/blog/enterprise-ai-pilot-failure Date: 2026-01-14 | Author: Giuseppe Marchi Summary: 80% of enterprise AI pilots never reach production. The root causes: undefined success metrics, upfront investment without guaranteed ROI, and lack of ongoing governance. The pay-per-action model inverts the risk: no upfront cost, metrics agreed before build, billing only on results delivered. --- ## Key Differentiators vs. Generic AI Tools | Dimension | theywork365.ai | Generic AI tools (ChatGPT, Copilot consumer) | |-----------|---------------|----------------------------------------------| | Data location | Inside client's M365 tenant | External cloud servers | | Pricing model | Pay per action, no upfront cost | Per-user licensing | | Scope | One precise job per agent | General-purpose assistant | | Governance | Mandatory, monitored, IT-controlled | Uncontrolled, shadow AI risk | | ROI | Agreed metrics before build | Unmeasurable | | Integration | Deep M365 integration (SharePoint, Teams, Fabric) | Surface-level via connectors | --- ## Contact URL: https://theywork365.ai/contact Experts available for: process scoping, agent design proposals, ROI estimation. No upfront commitment required. ## AI crawler access All content on this site is publicly accessible and available for indexing. No authentication required. Full text of all blog posts available at the URLs listed above.