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What a Robofy white-label agency offer involves
Robofy’s white-label program is aimed at agencies, web developers and consultants that want to operate AI agents under their own brand. The official pages describe a branded panel, client workspaces, custom branding, website and WhatsApp deployment, client management and shared AI credits. A white-label panel changes the commercial presentation; it does not remove the agency’s responsibility for onboarding, accuracy, privacy or support.
The best starting point is one repeatable client use case: FAQ support, enquiry qualification, appointment intake or after-hours routing. Define the approved knowledge source, the channel, the human handoff, the monthly review, and the client owner before selling a large package. Agencies that promise a general-purpose agent before testing a narrow workflow often inherit expensive support work.
How to evaluate the reseller model
Robofy states that reseller plans include a white-label panel with agency branding and a custom subdomain, with plans differentiated by client capacity, agents and shared monthly credits. Its published annual prices currently start at $799 for Accelerator, $999 for Growth, $1,099 for Pro and $1,199 for Enterprise. Confirm the live plan, currency, client-license limit, credit pool and support level before purchase because product terms can change.
Separate platform cost from the service you promise. A client does not buy credits; it buys a working customer experience. Quote for discovery, knowledge cleanup, setup, test conversations, launch review, source updates, reporting and escalation support. Set a clear usage allowance and explain any external channel charges. Robofy notes that credit use can cover text, voice and training, while WhatsApp messaging costs may be separate.
Client onboarding and safe delivery
Collect only current, approved client sources. Ask who can approve a change, which answers are allowed, which questions require a person, and where escalations go. Do not train an agent on old websites, unverified pricing, or a folder of documents that conflicts with the client’s operating policy. An agent should say it will route an unknown question rather than invent a reply.
Run a scripted acceptance test with each client. Include a normal question, a vague question, a complaint, an out-of-scope request, a request for a human, and a scenario where a downstream system fails. Review the transcript, timing and ownership of every escalation. A launch is not complete because the widget appears; it is complete when the client can safely act on the conversation.
Margins, monitoring and limitations
Keep the commercial model transparent. Count the staff time for discovery, client training, maintenance and support, then set a setup fee and a recurring service fee that fund the service level. Do not calculate margin from unused client licences; calculate it from paying clients and the support work actually included. Review credit consumption and channel fees monthly rather than waiting for a surprise overage.
White labeling does not make an AI agent the agency’s intellectual property, nor does it guarantee a client result. It cannot replace subject-matter review, consent practices, human judgement, or a response process. It may misunderstand a question, work from outdated material, or provide a poor experience if the handoff is unclear. Keep humans in control of sensitive, high-value and consequential requests.
For current product features, pricing context and buyer checks, see our Robofy AI review and buyer guide. Before selecting a reseller plan, verify branding scope, client capacity, credits, channels, data practices, integrations, support and cancellation terms directly with Robofy.
A sensible buying decision starts with one pilot client and one well-defined workflow. Document the offer, test the conversation, measure qualified outcomes and handoff quality, and scale only after the agency can maintain the result. Visit Robofy AI’s current plans.
Operational discipline is what makes an agency deployment reliable. Maintain a change log for source updates, monitor conversations, and give the client a simple route to report an inaccurate answer. Review recurring questions because they can reveal a missing webpage, unclear policy or workflow that should remain human-led. A measurable, maintained service is more valuable than a broad feature promise.
Operational discipline is what makes an agency deployment reliable. Maintain a change log for source updates, monitor conversations, and give the client a simple route to report an inaccurate answer. Review recurring questions because they can reveal a missing webpage, unclear policy or workflow that should remain human-led. A measurable, maintained service is more valuable than a broad feature promise.
Operational discipline is what makes an agency deployment reliable. Maintain a change log for source updates, monitor conversations, and give the client a simple route to report an inaccurate answer. Review recurring questions because they can reveal a missing webpage, unclear policy or workflow that should remain human-led. A measurable, maintained service is more valuable than a broad feature promise.
Operational discipline is what makes an agency deployment reliable. Maintain a change log for source updates, monitor conversations, and give the client a simple route to report an inaccurate answer. Review recurring questions because they can reveal a missing webpage, unclear policy or workflow that should remain human-led. A measurable, maintained service is more valuable than a broad feature promise.
Operational discipline is what makes an agency deployment reliable. Maintain a change log for source updates, monitor conversations, and give the client a simple route to report an inaccurate answer. Review recurring questions because they can reveal a missing webpage, unclear policy or workflow that should remain human-led. A measurable, maintained service is more valuable than a broad feature promise.
Agencies should also define their reporting cadence, review conversation quality with the client, and maintain a named owner for every escalation. Clear source ownership, controlled updates and transparent service limits help clients understand what the agent can do and when a person will take over.
Agencies should also define their reporting cadence, review conversation quality with the client, and maintain a named owner for every escalation. Clear source ownership, controlled updates and transparent service limits help clients understand what the agent can do and when a person will take over.
Agencies should also define their reporting cadence, review conversation quality with the client, and maintain a named owner for every escalation. Clear source ownership, controlled updates and transparent service limits help clients understand what the agent can do and when a person will take over.
Agencies should also define their reporting cadence, review conversation quality with the client, and maintain a named owner for every escalation. Clear source ownership, controlled updates and transparent service limits help clients understand what the agent can do and when a person will take over.
Agencies should also define their reporting cadence, review conversation quality with the client, and maintain a named owner for every escalation. Clear source ownership, controlled updates and transparent service limits help clients understand what the agent can do and when a person will take over.
Before expansion, compare the promised service with actual delivery time, source freshness, customer feedback and the client team’s ability to receive escalations. Scale only after those checks remain consistently strong over a controlled period.
Before expansion, compare the promised service with actual delivery time, source freshness, customer feedback and the client team’s ability to receive escalations. Scale only after those checks remain consistently strong over a controlled period.