We activate RocketAiFlow in the cloud on a server dedicated to your company. We help you start with your first use case, agreeing costs, included work and support before launch. Installation on your own infrastructure is also available.
Your first guided trial
Agree included work, timing, costs and responsibilities before launch. You do not need to start with every business process.
In either case, we help you build the agent and test it before launch.
We activate the server and instance for the agreed workflow. Resources, access and responsibilities are set out in the proposal.
If you have specific infrastructure requirements, we assess guided setup on your environment and existing telephony.
Before launch, we agree documents, customer data, access and retention periods. A dedicated server does not mean all data stays on that server: external calling and AI services are assessed separately.
We agree which data each call needs, what to save and for how long.
Enabled only when agreed, with clear access and retention rules.
We identify external services needed for calls and agent answers, including costs and responsibilities.
We agree which appointments, requests or information the agent may read or update.
We agree how to review outcomes and identify conversations to improve.
Lists, consent, notices and required checks remain the customer’s responsibility. An agent does not automatically make a campaign compliant.
A useful pilot makes limits, costs and responsibilities explicit.
Define initial capacity and server, platform, telephony, AI and integration costs in the proposal. Unlimited usage is not implicitly included.
Agree on updates, access, backups, recovery, support and customer responsibilities before launch. Any service levels require specific agreements.
RocketAiFlow manages AI agents, not human operator workstations. Connecting your call center requires separate setup on your external phone systems. Delivery of information to your staff is also agreed and tested separately.
Review conversations, information collected and actions that actually succeeded. Summarise what worked, which cases still need your team and what to change before expanding usage.
Tell us about your business. We prepare a demo and help you build the first agent around your use case.