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Metevix

02 — Automate · AI Automation

Automate the workbetween your tools

Your team spends hours moving information between inboxes, spreadsheets, CRMs and documents. We automate those handoffs — with AI handling the unstructured parts and rules handling the rest.

In this service

  • Intake automation
  • CRM & data sync
  • Approvals & workflows
  • Automated reporting
  • Follow-up sequences

The problem

Manual handoffs are where time and accuracy disappear

Copying data from emails into a CRM, chasing approvals, compiling weekly reports, re-keying invoices: individually small, collectively they consume entire roles and introduce errors at every step.

  • Skilled people doing data entry
  • Delays waiting for someone to move work forward
  • Errors from manual re-keying
  • Processes that break when one person is away

Our approach

Reliable automation with a human in the loop

We map the process, identify which steps are deterministic and which need judgement, then build automations that log every action, escalate exceptions to people and can be monitored like any other production system.

  • Hours back every week
  • Fewer errors
  • Faster response
  • Auditable

Capabilities

What we deliver

Business process automation that combines AI with APIs and your existing tools — from intake and data entry to reporting, follow-ups and approvals.
  • 01

    Intake automation

    Emails, forms and documents parsed and routed automatically.

  • 02

    CRM & data sync

    Keep CRM, accounting and operational tools consistent.

  • 03

    Approvals & workflows

    Multi-step approvals with reminders and audit trails.

  • 04

    Automated reporting

    Scheduled reports compiled and summarised for decision makers.

  • 05

    Follow-up sequences

    Timely, personalised follow-ups triggered by customer actions.

  • 06

    Monitoring & alerts

    Dashboards and alerts for failed or unusual runs.

How it works

A clear pathfrom brief to results.

Every engagement follows a defined sequence with a visible output at each step.
  1. 1

    Process audit

    Time and error mapping for each manual step.

  2. 2

    Automation design

    Rules, AI steps, exceptions and human checkpoints.

  3. 3

    Build & test

    Run against historical cases before going live.

  4. 4

    Operate

    Monitoring, logs and continuous improvement.

See it working

An AI workflow,step by step.

Pick a scenario and click through each stage to see what the AI does, which systems it touches and where people stay in control.
  1. 01UserMessage, form or event
  2. 02AI AgentUnderstands intent
  3. 03Decision EngineRules + scoring
  4. 04AutomationRuns the workflow
  5. 05CRMRecords & context
  6. 06Follow-upEmail · WhatsApp · tasks
  7. 07ConversionCustomer
A user interaction is interpreted by an AI agent, evaluated by a decision engine, executed by automation, recorded in the CRM, followed up automatically and converted into a customer.

Interactive demo

See an AI workflow step by step

Every enquiry answered, qualified and routed to sales in minutes.

Step 1 of 7

Website Visitor

A visitor lands on a service page from search and opens the assistant.

WebsiteAnalytics
// example data (illustrative)
page: "/services/seo"
source: "organic"
intent: "pricing question"

Technology

Tools we use

  • n8n
  • Make
  • Zapier
  • Python
  • Node.js
  • OpenAI
  • Anthropic Claude
  • Webhooks & APIs

Use cases

Where it makesthe biggest difference

  • 01

    Lead intake to CRM

    Enquiries enriched, scored and assigned within seconds.

  • 02

    Invoice processing

    Invoices extracted, matched and queued for approval.

  • 03

    Weekly performance report

    Data pulled from several tools and summarised every Monday.

Benefits

Why it mattersto the business

  • Hours back every week

    Your team focuses on work that needs their judgement.

  • Fewer errors

    Validated data instead of manual re-keying.

  • Faster response

    Customers and colleagues are not waiting on a queue.

  • Auditable

    Every automated action is logged and reviewable.

Work

Related stories

FAQ

AI Automationquestions

No-code tools or custom code?

Both have a place. No-code platforms are fast for simple flows; custom code is better for high volume, complex logic or sensitive data. Many of our automations combine the two.

What happens when an automation fails?

Failures are logged, retried where safe and escalated to a named person with the context needed to resolve them.

How do you decide what to automate first?

We rank processes by hours spent, error cost and feasibility, then start with one that pays back quickly to build confidence.

Next step

Which process would you automate first?

Tell us about your goals. We'll reply with clear next steps — no obligation.