Customer assistants
Agents that answer defined questions, retrieve approved information, guide users through processes, and hand off to people when the situation requires it.
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AI agents with defined tools, information, permissions, and escalation.
An AI agent should have a clear job, known information sources, approved tools, explicit permissions, and a safe response when it is uncertain. OPEQ designs agents around those operational boundaries rather than treating a chat interface as the finished product.
01 / What OPEQ builds
The service in practical terms.
OPEQ develops business AI agents that retrieve approved information, use defined tools, assist users, and perform controlled tasks with human oversight where required.
Internal assistants
Agents that help teams search knowledge, summarise information, prepare drafts, classify work, analyse records, or coordinate defined operational tasks.
Tool-using agents
Agents connected to approved APIs, databases, workflow systems, or internal tools so they can perform specific actions rather than only produce text.
Multi-step workflows
Agent-driven processes that gather context, make bounded decisions, call tools, request approval, and continue to completion with observable state.
02 / Engineering approach
Build the system around the real operating conditions.
The implementation should reflect the users, data, integrations, permissions, failure modes, and operational responsibilities that exist outside the interface.
Define the job
Specify the agent's purpose, users, allowed actions, information sources, boundaries, and unacceptable failure modes before model selection.
Ground the answers
Connect the agent to maintained, permission-aware information sources where factual business context is required.
Control actions
Use validation, authentication, approval gates, idempotency, and tool-specific limits before the agent performs consequential external actions.
Evaluate real tasks
Test representative user requests, edge cases, refusals, source quality, tool failures, and escalation behavior instead of judging only a few demonstration prompts.
03 / When it fits
Use the service where it solves a defined problem.
A project should be justified by a real business or technical need rather than by a technology label. These are common situations where the capability is useful.
Knowledge access
For teams or customers repeatedly searching documents, policies, records, or structured business information.
Repetitive coordination
For workflows where staff repeatedly gather context, prepare the same type of output, update systems, or route requests.
Assisted decisions
For situations where AI can analyse or recommend while a person remains responsible for approval.
Tool orchestration
For multi-system tasks where an agent can reduce switching and manual handoffs by coordinating approved tools.
Related capabilities
Continue with the most relevant service.
Use these related pages to understand the capability in more detail and move through the site by subject rather than by generic navigation.
Build your next system with quality.
Tell us what you want to build, automate, modernise, or improve. OPEQ will review the requirements and help define the right engineering approach.
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