# Put AI to work inside your business. AI & intelligent automation Put AI to work with secure MCP integrations, staff copilots, document automation and AI search visibility. Start with a measurable business outcome and clear controls. ## From a question to an owned business action Illustrative workflow. - Understand: Retrieve the permitted business context - Prepare: Draft a response or a bounded action - Complete: Apply approval rules and record the result ## Where AI can help your business now Start with work that has a clear owner and a result you can check. These implementation options address practical business needs, from staff productivity to controlled access to existing systems. ### Choose the workflow before the model Define a useful task, show how people remain in control and measure the result before expanding access. Build confidence through clear responsibilities, practical training and evidence from your own workflow. - **Staff knowledge and customer service**: Find current answers with source links. Search approved policies, procedures and account information within the user’s permissions. Escalate when the evidence is missing. - **Document and finance workflows**: Reduce rekeying and review exceptions. Extract purchase order or invoice details, check business rules and prepare records for Xero, MYOB or an ERP through supported integrations. - **Agents connected to business systems**: Complete bounded tasks through MCP. Expose selected tools for CRM, service management and internal applications. Separate reads, drafts and approved writes. - **Microsoft 365 and existing platforms**: Improve work in the tools staff already use. Review identity, document access, connector support and licensing before extending an assistant into a live workflow. - **AI search visibility**: Help buyers find and assess your services. Improve public service content, technical SEO and credible evidence, then measure relevant visits and enquiries. - **AI adoption and operating support**: Help people use the system well. Provide role-specific training, acceptable-use guidance, evaluation checks and an owner for incidents and model changes. ### Agree the evidence before investing further Measure the existing task first. Compare completed work, review effort, errors and total operating cost, including licences, model usage and support. Set a stopping point if the pilot cannot meet the agreed outcome. A faster draft is not a saving if it creates more checking and correction downstream. Map personal information, source access and external processing before choosing a deployment. Review data location, retention and provider settings against your requirements. Decide which outcomes require human review, how users can question a result and who can pause the workflow. The appropriate controls depend on the use case and the organisation’s obligations. ## Connect AI to a business process Combine retrieval, document interpretation and workflow automation around a defined task. Keep decisions, permissions and recovery visible so the system can be useful beyond a demonstration. Illustrative scenario, not a customer case study. An operations assistant prepares order updates across several Australian branches. Expose narrow tools with typed inputs and server-side validation. Separate read access from writes and cap action count, elapsed time and spend for each run. Verification: Track attempted actions, rejected actions, duplicate writes and runs stopped by their execution budget. ## Move from isolated experiments to a useful system ### Separate experiments in separate tools Useful prototypes remain disconnected from the records and processes that determine the business outcome. ### One controlled workflow Connect the capability to existing systems with evaluation, human review and operating ownership built in. ## Bring intelligence into a controlled business workflow. ### MCP tools with boundaries Expose selected business functions through an MCP server. Validate inputs and enforce caller permissions for every read, draft and write. ### State and recovery Persist the task state, record completed actions and resume interrupted work without repeating a business transaction. ### Human approval Show the proposed change and its source evidence before an authorised person permits a consequential action. ### MCP integrations Expose approved internal tools through authenticated MCP servers with per-tool permissions and request records. ### Event driven work Trigger bounded tasks from schedules, messages or webhooks and keep their progress visible to the user. ### Model request controls Record model usage and failures. Apply timeouts, rate limits and spending budgets to each task. ## What your team receives Included scope agreed before delivery. - Solution boundary: The task, sources, tools and decisions the system may support. - Evaluation evidence: Representative work, unsafe cases and operating constraints. - Operating handover: Review queues, monitoring and the path to recover interrupted work. ## Where should we begin? Choose one repeated task with accessible evidence and a clear owner. Compare the current process with a small, evaluated implementation before expanding. ## Read the engineering behind it - [Give an agent a small tool, not an administrator console](https://cobnex.com/blog/bounded-agent-tools-architecture-decision-guide) - [Timeout after the write, before the tool response](https://cobnex.com/blog/bounded-agent-tools-failure-testing-walkthrough) - [Explain why an agent run stopped](https://cobnex.com/blog/bounded-agent-tools-operations-runbook)