AI agents for business workflows
An AI agent becomes useful when it can work with the information and systems behind a real task. Pengui AI provides the shared platform: a workspace for people, access to company knowledge, model selection and connections to permitted tools. Your workflow defines the outcome, the actions and the point where a person must decide.
Illustrative workflow designs, not customer case studies or ready-made integrations. The systems and actions below must be connected, configured and tested for your deployment.
Resolve an internal support request
Systems involved: An approved knowledge collection, a service-desk system and the employee's authenticated workspace.
- An employee describes the issue. The agent searches the knowledge available to that user and drafts an answer with the supporting information, asking for missing details instead of inventing them.
- If the issue needs follow-up, the agent prepares a ticket summary, category and suggested priority. The employee reviews the proposed content before an enabled tool creates the ticket.
- The workflow returns the ticket reference or reports that the operation failed. A support owner handles exceptions; the team reviews unresolved requests to improve the source material.
Permissions and approvals
Start with knowledge lookup and ticket creation only. Do not grant account resets or device changes just because the help desk supports them. Configure approval on the action tool, test rejection and ensure restricted documents stay unavailable to unauthorized users.
Configuration and integration work
Configure instructions, knowledge access, an approved model and tool permissions. An existing compatible service-desk connection may be reused; otherwise build and test an adapter for authentication, ticket fields and duplicate prevention.
Prepare a sales follow-up
Systems involved: A CRM, approved product material and a connected mail or document service, where those integrations are available.
- A salesperson selects an opportunity and asks for a follow-up. The agent reads the permitted account context and product material, then drafts a message grounded in those sources.
- It presents the proposed recipients, message and CRM changes for review. Pricing exceptions and commercial commitments remain with the responsible person.
- After approval, enabled tools can record the activity or deliver the message. The workflow shows the tool result and leaves a failed operation visible so the owner can resolve it before trying again.
Permissions and approvals
Separate drafting from sending. Restrict writable CRM fields and require approval before external communication. Do not infer a discount or promise contract terms from an incomplete conversation.
Configuration and integration work
Configure the agent's instructions and permitted sources. Map CRM fields and authentication to the selected connector; custom API work may be needed for your CRM, mail setup or review process. Validate retries before enabling delivery.
Explain an operational report
Systems involved: A governed reporting source or read-only data tool, metric definitions and the team's workspace.
- An operations manager asks what changed during a period. The agent retrieves authorized figures through the connected reporting tool and checks which metric definitions and time range apply.
- It summarizes the changes, identifies missing data and distinguishes observed differences from possible explanations. A reviewer checks the underlying figures before using the summary in a business decision.
- The team can save or share the reviewed result through a separately enabled tool. Publishing is a distinct action; access to read a report does not imply permission to distribute it.
Permissions and approvals
Use a read-only credential and enforce data access at the source. Keep database writes and unrestricted queries outside the workflow. Test an unauthorized user, incomplete data and a failing source, as well as a successful report.
Configuration and integration work
Configure metric guidance, source access and output expectations. The governed query/reporting interface, schema mapping and any publishing connection may require project-specific development. Pengui does not turn every database into a ready-to-use reporting solution.
What the platform supplies, and what your project builds
The shared platform brings the user workspace, agent administration, knowledge and tool connections, supported model choices and operational visibility. Deployment on your infrastructure and optional branding apply across workflows; they do not remove the need to design each workflow.
Implementation covers your data sources, credentials, instructions, access rules, tool approval policies and acceptance tests. Reuse compatible MCP tools where available. Build adapters, business rules or external approval steps when the required behavior is not already supplied by the selected integration.
Before rollout, agree on who operates the deployment, maintains integrations and handles failed runs. Review activity and model/tool usage against an agreed budget. Logging coverage, retention, provider charges and support responsibilities depend on the chosen configuration and commercial agreement.
Evaluate one complete workflow
Bring a representative request, safe sample data, the target systems and a named reviewer. Define success before the demo: correct source use, permitted actions only, an approval that can be refused, visible failure handling and a useful final result. Record response time, model/tool usage and reviewer corrections during the evaluation instead of assuming savings. Expand only after the workflow meets your acceptance criteria.
Explore the platform and plan an evaluation
Try the platform free for 30 days. Scale when you're ready.
Install Pengui in your own cloud, connect your documents and data, and build your first agent — free for 30 days.
No credit card. Model usage, infrastructure and agreed implementation services are separate.