We design AI agents that handle incoming requests, complete missing details, update your systems, and ask your team for approval when needed.
EXAMPLE CUSTOMER REQUEST
New inquiry received
In progressNeed clarified
NextMissing details completed
NextCRM record updated
NextSales team notified
NextTeam approval
Requests involving pricing, special terms, or uncertainty are sent to your team for approval.
WHAT AI AGENTS CAN HANDLE
Each agent is designed around a real operational need. It collects information, updates records, starts follow-up, and routes critical moments to your team for approval.
Customer and sales
The agent collects the initial details, clarifies the need, and sends the sales team only the opportunities that are ready to move forward.
What it handles
Workflow path
Every request enters the right workflow.
YOUR TEAM STAYS IN CONTROL
Rule-based work can move automatically. Steps involving pricing, exceptions, uncertainty, or sensitive information are sent to your team with the necessary context.
EXAMPLE WORKFLOWS
What the agent does is defined by how the daily work actually moves, not by abstract feature lists.
Trigger
A new request arrives through WhatsApp, Instagram, or a web form.
Outcome
The sales team starts with a clearer customer request.
Trigger
What the agent handles
Where team approval is needed
Outcome
What the agent handles
The need and contact details are completed, then the CRM record is updated.
Where team approval is needed
Pricing or special terms are routed for team approval.
IMPLEMENTATION PROCESS
The first scope stays practical. The goal is to reduce a real recurring workload, not to launch a broad AI initiative.
We map the repeated work, information sources, tools involved, and where the team needs to step in.
We clarify what the agent can move automatically, where it should stop, and which steps require team approval.
We connect communication, CRM, spreadsheet, calendar, or notification tools, then test the workflow with realistic examples.
After launch, we learn from real usage and adjust the rules or workflow when new edge cases appear.
INTEGRATIONS
The agent doesn’t force a new interface. It works across the communication, record, planning, and data tools your team already uses.
Handles incoming messages and customer touchpoints in one workflow.
Updates request, contact, and status details where the team already works.
Clarifies appointment options and keeps meeting steps organized.
Turns spreadsheet, form, and content inputs into usable information.
Moves summaries, pending work, and follow-up alerts to the right place.
WHO IT’S FOR
The strongest first scope is usually a task your team already runs every week, but still handles manually.
FREQUENTLY ASKED QUESTIONS
Short answers for the decisions teams usually want to clarify before starting.
A chatbot usually responds inside a conversation. An AI agent can move a defined workflow forward, such as collecting details, updating records, starting follow-up, and asking for team approval.
In most cases, yes. We review your tools and data flow first, then connect the parts that are safe and useful to automate.
Unclear, high-risk, sensitive, or judgment-heavy tasks should not move automatically without review. We add team approval where the workflow needs it.
We define approval conditions upfront. The agent pauses, sends the necessary context to your team, and continues only after the decision is made.
It depends on the workflow, tools, and approval rules. The first consultation is used to define a practical scope before implementation is planned.
Yes. Once the first scope is live, the workflow can be adjusted based on real examples, edge cases, and team feedback.
During setup, we clarify which data is needed, avoid unnecessary collection, and review how information moves between connected tools.
FREE PROCESS REVIEW
We review the repetitive work, the tools involved, and the steps requiring team approval, then define a practical first automation scope.
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