Most AI vendors hand you a login and a help doc, then call it onboarding. Robofy runs a structured deployment program instead. Agent setup, custom integration, UAT testing, and team handoff are managed by a named project team until your agent is live and your staff trust it.
No DIY setup. No guesswork. A fixed schedule with a go-live date.
Every Robofy enterprise customer gets a structured 4 weeks launch program - agent setup, knowledge base configuration, UAT testing, and team handoff included.
Enterprise AI projects rarely fail on model quality. They fail on ownership, integration, and the months between signature and something your customers actually use.
Access is granted, a help centre link is shared, and the project quietly becomes your team's problem on top of their existing work.
The agent can answer questions but cannot check an order or book a slot, because connecting it sits in an engineering backlog behind everything else.
A demo impresses the room, then the pilot runs for months without agreed success criteria and without a date for a full launch.
Teams are handed a tool they did not test and cannot correct, so they route around it and the deflection you paid for never arrives.
Four phases, a fixed schedule, and a named project team accountable for the go-live date.
Week 1. We map the use cases that matter, agree success metrics, confirm which systems the agent connects to, and lock the go-live date in writing.
Weeks 1 to 2. We build the knowledge base from your content, configure escalation and routing rules, and connect your booking system, CRM, or internal APIs.
Week 3. Your team runs user acceptance testing against a guided checklist. You see exactly what the agent will say, and corrections are applied before launch.
Week 4. The agent launches on your website and WhatsApp. Staff training, admin handover, and reporting walkthrough are completed as part of launch.
Enterprise pricing covers the work, not only the licence.
We connect the agent to the systems your business already runs on, including booking platforms, CRMs, ticketing tools, order management, and internal APIs. The agent takes action rather than only answering, and your developers keep their roadmap.
A named AI specialist owns agent behaviour, knowledge base quality, tone, and escalation rules. They tune the agent against your real conversations instead of leaving prompt engineering to your marketing team.
A named project manager runs the schedule, weekly checkpoints, and the go-live checklist. You get one accountable contact and a status you can report upward, not a ticket queue.
The requirements that come up in every procurement and security review.
Review our security and PII practices, data processing agreement, GDPR position, and sub-processors.
Bring us your use cases and your systems. We will scope the rollout and commit to the date.
Trusted by multi-location F&B, hospitality, and healthcare brands
Common questions from enterprise teams evaluating a rollout.
Most enterprise deployments go live within 1 to 4 weeks. Development runs through weeks 1 and 2, testing and UAT happen in week 3, and go-live with team handoff lands in week 4. Rollouts involving several custom integrations or a large multi-location knowledge base can extend beyond that, and we confirm the timeline in writing during discovery rather than after you sign.
Far less than a DIY platform. Robofy handles agent setup, knowledge base configuration, integration work, and test scripting. Your team supplies access to source content and systems, reviews the agent during UAT, and attends the training session before go-live. There is no requirement to run an engineering sprint or assign a developer for the duration of the project.
Yes. Custom integration is part of every enterprise rollout. We connect to booking systems, CRMs, ticketing tools, order management platforms, and internal APIs so the agent can take action rather than only answer questions. Integration scope is agreed during discovery in week 1.
Every enterprise account gets a named project manager and a dedicated AI specialist. The project manager runs the schedule, the weekly checkpoints, and the go-live checklist. The AI specialist handles agent behaviour, knowledge base quality, and escalation rules. You are not routed through a general support queue during the rollout.
Your team receives handoff documentation, admin training, and a reporting walkthrough. After launch you keep a direct support channel for tuning the agent, updating the knowledge base, and adding new use cases. Ongoing knowledge base updates do not require a new project.
Robofy operates under a signed DPA and is GDPR aligned, with documented sub-processors and PII handling practices. Enterprise customers can review our security and data handling documentation before any content is shared, and data residency requirements are confirmed during discovery.
Yes, and it is a common starting point for multi-location brands. We deploy to one outlet or one business unit, measure deflection and containment against agreed benchmarks, then use the same configuration as the template for the wider rollout so later locations launch faster.
