AI & Process Engineering

A virtual operator that handles,
manages, and executes tasks
on autopilot.

We do not build simple autoresponders. We design custom Artificial Intelligence Agents connected to your database, ERP, or CRM. Capable of checking real-time stock, generating quotes, scheduling meetings, and resolving tickets across WhatsApp, Email, or Web autonomously.

πŸ”— Native integration with your ERP / CRM ⚑ Execution of complex operational flows πŸ’¬ Omnichannel: WhatsApp, Email, Web
Paradigm Shift

From "passive response"
to "active execution"

A traditional chatbot is limited to reading documents and answering FAQs. But real corporate operations require execution: checking the status of a logistics shipment, verifying a technician's availability, or issuing an invoice.

We build a custom decision architecture. Your AI Agent interacts with clients, processes their intent, queries your internal systems via API, and executes the corresponding action without requiring constant human supervision.

API integration with your core systems (ERP, CRM, Corporate Calendars).
Access to databases in real-time for deterministic resolutions.
Unified session management across WhatsApp Business, Email, and Instagram.
Human handoff exclusive for critical exceptions.
B2B Logistics Agent
WhatsApp Business (Connected to ERP)
Hi, I needed to check the status of my order #4589.
Hi! I have checked our system. Your order #4589 has been processed and the logistics operator will deliver it tomorrow before 14:00h in Badalona. Do you require me to send you the commercial invoice? πŸ“¦
Yes, please. Send it to the associated email.
Invoice #F-4589 generated in the ERP and sent to your corporate email (admin@...com). Can I help you with any other request? βœ…
Operational Cost

High-value staff handling
repetitive extraction tasks

Manual Operations
  • βœ— Your technical team spends hours navigating the ERP or CRM to retrieve data and answer routine emails or WhatsApps.
  • βœ— Staff bottlenecks: if the responsible admin is unavailable, the quote is not issued and the lead goes cold.
  • βœ— Transcription errors when manually transferring information from the chat channel to the central database.
AI Agent Operations
  • βœ“ AI correlates data instantly: processes the query, interrogates the ERP, and issues the resolutive response in milliseconds.
  • βœ“ Elastic scalability: the agent manages 1 or 1,000 concurrent requests without degrading response time.
  • βœ“ Resource liberation: your team focuses on closing complex sales and Tier 2 (T2) support.
Adoption Criteria

This level of engineering is for you if…

  • β†’

    You support processes where resolution requires your team to check an external system (inventories, traceability, complex bookings).

  • β†’

    You allocate operational hours to drafting standard proposals, sending technical documentation, or dumping leads from email to CRM.

  • β†’

    You need to automate a sales funnel or deep technical support, where a generic conversational chatbot falls short.

  • β†’

    You have digital infrastructure (CRMs like HubSpot/Salesforce, corporate ERPs) with REST or GraphQL API connectivity.

Technical Capabilities

The Agent's Action Spectrum

πŸ”„

ERP / CRM Connection

Not limited to reading PDFs. Interrogates your databases to audit inventory, verify orders, or update records in real-time.

βš™οΈ

Process Execution

Ability to invoke functions to generate PDF quotes, dispatch contracts, provision appointments, or process returns automatically.

πŸ’¬

Persistent Omnichannel

Operates over WhatsApp Business API, Gmail, and social channels. If a user moves from email to WhatsApp, the Agent maintains context.

πŸ”

Qualified Lead Scoring

Executes triage interviews, captures key industry variables, scores the lead, and transfers it to the sales queue only when mature.

πŸ”€

Contextual Handoff

Upon exceptions outside its confidence threshold, transfers control to a human operator injecting a synthetic summary of the problem.

πŸ“Š

Automated Reporting

Consolidates operational metrics and issues periodic reports on resolution rates, processed incidents, and service latencies.

Deployment Methodology

Custom engineering in 3–5 weeks

01

Business Logic Mapping

We audit the human decision tree to resolve a request and translate it into logical diagrams to condition the AI's behavior.

02

API & Channel Integration

We establish bidirectional data pipelines between the Agent (WhatsApp, Email) and your central infrastructure (ERP, CRM, Databases).

03

Testing & Guardrails

We subject the model to stress tests and define "Guardrails" (safety limits) to ensure it never executes destructive actions.

04

Deployment & Telemetry

Controlled launch with active monitoring. We provide a telemetry dashboard and fine-tune the model on real interactions.

Frequently Asked Questions

Service technical specifications

A classic chatbot uses RAG on static documents (PDFs). An AI Agent possesses "Action Capabilities": it reasons, queries databases, and executes external API calls to modify your system's state.

Absolutely. The architecture is based on "Minimum Privilege" permissions. The Agent can only read/write to the specific endpoints we authorize, guaranteeing ERP integrity.

Virtually unlimited if the process is structured. From conditional flows ("if no stock of X, check supplier Y") to estimating dynamic quotes crossing variables.

We implement a "Human-in-the-Loop" design for critical processes. The AI prepares the action (e.g. drafting a wire transfer), and pauses execution until a human supervisor approves it with one click.

Yes. To interact as a corporate agent via WhatsApp we demand the use of the official Meta API, ensuring compliance and stability. We handle the entire technical onboarding.

Bottleneck Detection

Automate key operations
and scale efficiently.

Describe your current internal workflows. Within 24 hours we will issue an analysis on the feasibility of integrating an AI Agent and the projected impact on your infrastructure.

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