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AI Automation & Workflow Integration

AI applied where it removes real work: grounded assistants that answer from your own documents, automated document and data processing, and workflow automation wired into the systems your team already uses.

Automation with a verifiable output

The value in applied AI is rarely the model. It is the plumbing around it — retrieving the right context, constraining the output to a schema your systems can consume, and deciding what happens when confidence is low. Get that wrong and you have a demo. Get it right and you have a process that runs without supervision.

Every workflow we build has a defined input, a checkable output and an escalation path to a human. Where a decision carries financial or compliance weight, a person approves it — the automation removes the retrieval and drafting work, not the accountability.

Working with X3von

  • Senior engineers from scope through to delivery
  • A working environment at the end of every cycle
  • Code and infrastructure owned by you
  • Support across time zones
The X3von standards

Capabilities

What we build

Retrieval-grounded assistants

Assistants that answer from your own documents and data, with citations back to the source.

Document processing

Extraction from invoices, contracts and forms into structured records your systems can read.

Workflow automation

Multi-step processes across your existing tools, with retries, logging and failure handling.

WhatsApp & chat automation

Conversational flows on WhatsApp Business API for quotations, bookings and support.

Data pipelines

Scheduled ingestion, cleaning and enrichment feeding your reporting and analytics.

Human-in-the-loop review

Approval steps and confidence thresholds so uncertain cases reach a person before they commit.

Approach

How we deliver it

01

Process selection

We look at volume, repetitiveness and error cost to identify which workflows are actually worth automating.

02

Grounding & contracts

Source data is indexed and outputs are constrained to a schema, so results are checkable rather than plausible.

03

Integration

The workflow is wired into your existing systems with logging, retries and an escalation path.

04

Measure & tune

We track accuracy and handling time against the manual baseline and tune the thresholds from real cases.

Technology

What we work with

Models

  • Claude
  • OpenAI
  • Open-weight models
  • Embedding models

Orchestration

  • LangChain
  • Structured outputs
  • Tool calling
  • Job queues

Retrieval

  • Vector search
  • Hybrid search
  • Document chunking & indexing

Channels

  • WhatsApp Business API
  • Email
  • Web chat
  • Internal APIs

Questions

AI and automation: common questions

RAG is a pattern where an AI assistant searches your own documents and data before it answers, and grounds the answer in what it finds. Answers stay accurate and current without retraining a model, and can cite their source.

We work with OpenAI and Anthropic Claude models as well as open-source models, chosen per task for accuracy, cost, latency and data-handling requirements.

Yes. We build WhatsApp Business API assistants and workflows that answer common questions, capture leads and hand the conversation to your team when a person is needed.

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