QUALIFY
Lead qualification agents
Ask structured questions, interpret responses, apply qualification criteria and route the lead to the right next step.
AI AGENTS FOR BUSINESS
Give AI a defined job, clear boundaries and the systems it needs to do useful work.
OmniView builds custom AI agents for businesses that need more than a generic chatbot. We define the job, the information the agent can use, the actions it may take and the points where a person should step in.
ROLE
Defined business jobCONTROL
Rules + human handoffLANGUAGE
English / SpanishSTARTING AT
$5,000WHAT THIS SERVICE SOLVES
An AI agent is useful when the role is specific enough to evaluate.
The term AI agent can describe many things. For a business, the useful question is simpler: what job should the system perform, what inputs can it trust, what actions may it take and when must it stop or escalate?
We design agents around those boundaries. The agent can handle language and context, while deterministic rules, integrations and approval steps keep the workflow grounded in the business process.
WHAT WE CAN BUILD
Agents designed for defined operational jobs.
The exact role changes by business, but the design principles remain the same: clear responsibility, controlled access and measurable outcomes.
SCHEDULE
Scheduling agents
Coordinate availability, booking information, confirmations and follow-up around approved calendar workflows.
ANSWER
Customer inquiry agents
Answer defined questions using approved business knowledge and escalate requests that need human judgment.
ROUTE
Routing & triage agents
Classify requests, identify intent and direct work to the right person, queue or automated workflow.
KNOWLEDGE
Internal knowledge agents
Help teams retrieve, summarize or organize approved operational information within a defined access model.
ACT
Action-taking agents
Trigger approved actions across connected systems when the workflow and permissions allow it.
HOW THE SYSTEM FITS TOGETHER
The agent is one layer inside a controlled business workflow.
Reliable agent systems combine context, business rules, connected tools, permissions, logging and human escalation instead of letting a model operate without boundaries.
01BUSINESS JOB
02APPROVED CONTEXT
03AI REASONING
04TOOLS
05GUARDRAILS
06HUMAN HANDOFF
HOW WE WORK
A focused path from problem to production.
The work stays tied to the business outcome, with clear scope and validation before launch.
01
Discover
Clarify the business objective, audience, current process and constraints before deciding what to build.
02
Plan
Define the structure, scope, measurement points and the decisions the system needs to support.
03
Build
Create the agreed experience or system around the approved scope rather than a generic template.
04
Validate
Test the important user journeys, edge cases, tracking and handoffs before launch.
05
Launch & improve
Put the system into production, monitor what matters and improve the parts that create measurable value.
WHAT YOU RECEIVE
An agent with a defined role and operating boundaries.
01
Agent role and success criteria
02
Prompt and decision architecture
03
Approved knowledge/context connections
04
Tool and integration actions included in scope
05
Guardrails and escalation paths
06
Scenario testing and launch validation
07
Documentation and optional ongoing improvement
PROJECT SCOPE
Scope first. Then a clear commercial proposal.
STARTING / COMMERCIAL MODEL
From $5,000Custom AI-agent projects fall under OmniView AI systems and currently start at $5,000. Final scope depends on the role, knowledge sources, integrations, actions, permissions and testing required.
QUESTIONS
Answers before you start.
What is an AI agent for business?
It is a software system that can interpret information and perform a defined business job using approved context, rules and tools. The important part is the boundaries around what it can and cannot do.
How is an AI agent different from a chatbot?
A chatbot mainly exchanges messages. An agent can also classify, decide within defined rules and trigger actions across connected systems when permissions allow.
Can an AI agent qualify leads?
Yes. A lead agent can collect information, interpret responses, apply qualification logic and route the lead to the appropriate next step.
Can an AI agent book appointments?
Yes, when the calendar and booking flow support the required integration and business rules.
Can the agent use our company information?
It can be connected to approved information sources within the project scope. Access, freshness and permissions need to be designed intentionally.
Can we require human approval?
Yes. Approval and escalation points can be built into the workflow for decisions that should not be automated end to end.
READY FOR THE NEXT MOVE?
Define the job first. Then build the agent around it.
Tell us what your team repeatedly answers, reviews, qualifies or coordinates. We will determine whether an agent is the right solution.