Diagnostic, measured pilot and scale
The client moves forward when the numbers justify it, not before. Movigoo designs, integrates, implements, operates and supports: one party accountable for the result.
We don't sell a leap of faith.
We build enough evidence to make the next decision.
“The client moves forward when the numbers justify it, not before.”
We support the full project lifecycle, not just the license sale: Movigoo designs, integrates, implements, operates and supports.
- 01
Diagnostic
We analyze the operation with real data (tickets, emails, recordings) and deliver a fact sheet with prioritized use cases, expected containment and their impact.
Output: fact sheet and automation roadmap.
- 02
Measured pilot
We put the first AI agents and copilots into production with an agreed baseline and before-and-after metrics.
Output: comparable evidence to decide.
- 03
Scale
We expand to more cases, channels and countries, gradually shifting the human/AI mix based on measured results.
Output: a gradual, governed human + AI operation.
Services that come with every solution
The solution does not end at go-live. These four services cover the full cycle.
Agentic diagnostic
AI analysis of the client's real tickets, emails and recordings to identify which cases to automate first, what containment to expect and what return each wave delivers.
Design and implementation
AI agent architecture, integration with CRM, ERP, ITSM and core business systems, conversation and guardrail design, migration and go-live.
Operation and continuous improvement
Training AI agents with production data, monthly reporting on containment, AHT, FCR and quality, and evolution of the automation roadmap.
Second-level support
Local support in the client's language, with direct escalation to the vendor managed by Movigoo.
How an AI agent's actions are controlled
Before going live, the agent's guardrails are defined. The human team remains the permanent backstop.
The systems and knowledge sources the agent can access, and with which permissions.
The actions the agent performs on the client's systems and the validations each one requires.
The data the agent must not reveal or request, whatever the conversation.
The situations in which the case goes to a person, always with full context.
Why Movigoo
Four reasons, in the order an operations director weighs them.
We have implemented and operated conversational AI in Spanish and Portuguese in real operations across the region since before it was called agentic.
An AI agent that cannot execute is a chatbot. We connect to CRM, ERP, core banking, ITSM and payment platforms so the AI resolves.
We do not replace the operation overnight: we start with the highest-volume, lowest-risk cases, measure, and shift the mix based on results. Guardrails and handoff rules are defined before going live, and the human team remains the permanent backstop.
Movigoo designs, integrates, implements, operates and supports. The client does not negotiate with three vendors or reconcile three versions of the problem.
Technology changes. Judgment stays.
Six rules we learned implementing AI in real operations across the region. We design every project by them.
01Agent Assist is often the best first step
The AI proposes and the agent decides: high perceived impact and low risk. It is the entry point for those not yet ready to automate full conversations; the starting point is always set by the diagnostic.
02The KPI is what it resolves, not what it handles
An AI agent is measured by the conversations it closes without a human handoff. We measure resolution by inquiry type from the first month.
03Voice requires more design than text
Latency, interruptions, background noise and Latin American Spanish accents: not every technology performs the same. We start with narrow, high-volume flows.
04Transcription tested on real audio
Transcription accuracy in Spanish and Portuguese determines the quality of the analysis. We evaluate it with the client's own recordings before committing to results.
05Omnichannel is not multichannel
WhatsApp, chat and voice running separately are still multichannel. We unify history and disposition first; AI agents and analytics build on that foundation.
06Use case, not product label
Every vendor names and bundles these layers differently. With the client we agree on the concrete work the AI does, not the module name.
30 minutes.Your operation.Real data.
We propose a 30-minute meeting to understand your current operation, your priorities and your decision horizon. With that, we define whether an agentic diagnostic on your real data makes sense: that is where agentic CX stops being a promise and becomes a number.
No generic demo. We start with your operation.