Agents built around the work your business actually repeats.
Not generic chatbots. Each agent is scoped to a specific process, connected to your systems, and designed with clear boundaries for what stays human.
AI Sales & Enquiry Agent
A front-line agent that handles incoming enquiries: answering routine questions, qualifying prospects, collecting the information your team actually needs, and moving each opportunity into the next stage — with people brought in when judgement is required.
What it can be designed to handle
- Respond to website enquiries and incoming email
- Answer routine, business-specific questions
- Qualify prospects against your criteria
- Collect missing customer information
- Categorise and prioritise enquiries
- Create leads and update CRM records
- Trigger follow-up workflows
- Book meetings and send confirmations
- Notify the right person internally
- Summarise conversations for your team
- Escalate complex enquiries to a human
- Operate outside normal office hours
Examples of applicable tasks. Each agent is scoped to the specific work it's built for — not every implementation includes every capability.
Business outcomes
- Faster responses to new enquiries
- Fewer enquiries missed when the team is busy
- Less repetitive sales administration
- Cleaner, more complete CRM records
- More time for high-value sales conversations
AI Operations Agent
An AI worker built around repetitive internal operations — helping information move through the business without constant manual handling, and flagging the exceptions that genuinely need a person.
What it can be designed to handle
- Process incoming requests
- Extract information from emails and documents
- Classify and route work to the right person
- Create and update records across systems
- Check whether required information is missing
- Move information between disconnected tools
- Monitor statuses and trigger reminders
- Generate summaries and prepare routine reports
- Assist with routine document processing
- Escalate exceptions to employees
Examples of applicable tasks. Each agent is scoped to the specific work it's built for — not every implementation includes every capability.
Business outcomes
- Less day-to-day administration
- Reduced duplicate data entry
- Fewer manual hand-offs between people and systems
- Faster, more consistent processing
- Better visibility of where work actually is
Custom AI Worker
For processes that don't fit an off-the-shelf pattern. We study how the work is performed today, identify which parts are suited to AI and which should stay with people, then design an agent around that specific operation.
Processes this could apply to
- Quote preparation
- Customer onboarding
- Document intake
- Invoice handling
- Appointment workflows
- Recruitment administration
- Property enquiries
- Internal knowledge assistants
- Case administration
- Reporting preparation
- Service request processing
- Lead management
What it can be designed to handle
- Analyse and map the existing process
- Identify the repetitive, rules-based tasks within it
- Determine where AI is appropriate — and where it isn't
- Define where human approval should remain
- Design the agent around your business rules
- Integrate with the software you already use
- Test the workflow against real cases and exceptions
- Deploy, monitor and refine over time
Examples of applicable tasks. Each agent is scoped to the specific work it's built for — not every implementation includes every capability.
Business outcomes
- An agent shaped around your operation, not a generic template
- Automation applied only where it genuinely holds up
- Clear boundaries between agent-handled and human-handled work
- A workflow that can be adjusted as the business changes
What powers an ORQIVO AI worker.
Every agent is built on the same underlying disciplines. You don't need to think about these — but they're the reason an agent holds up once it's handling real work.
Workflow analysis
Understanding how the work actually happens before anything is built.
AI orchestration
Coordinating the steps an agent takes, with the right checks in place.
System integration
Connecting the agent to the platforms your team already works in.
APIs
Moving information reliably between systems that weren't built to talk.
Automation
Handling the rules-based steps that don't need judgement.
Data workflows
Making sure the information an agent relies on is accurate and current.
An agent is only useful if it works where your business already works.
We connect agents into the systems your team uses day to day, so work moves through your existing operation rather than around it. The right tools are chosen per project — they're an implementation detail, not the product.
Not sure which agent fits your business?
Most engagements start by looking at one repetitive process. We'll help you work out whether there's a practical AI opportunity in it.