want to speak directly?

book in today!

How We Work

From First Call To Live AI System

A clean, four-stage delivery flow that takes you from identifying needs to a fully monitored AI solution performing in the real world.

01
Discovery & Needs Analysis
Clarity
Goal: Identify what to automate for maximum impact.
We dive into your operations to find inefficiencies and automation-ready opportunities.
  • Workflow & customer journey audit
  • Identify bottlenecks and time sinks
  • Target high-value AI opportunities
  • Deliver a tailored AI Impact Blueprint
Outcome A strategic map of what to automate first.
02
Build, Train & Test
Execution
Goal: Build a reliable AI system trained for your world.
We construct and refine the automation through real scenario testing.
  • Custom AI architecture
  • Training on your data + brand tone
  • Simulations and edge-case testing
  • Continuous refinement until stable
Outcome A fully polished AI assistant before launch.
03
Seamless Integration
Deployment
Goal: Make the AI feel native to your website & tools.
Zero disruption — fully embedded and tested in your environment.
  • Website, CRM, or system integration
  • On-brand UI, mobile-friendly
  • Internal routing & alerts set up
  • Live rollout with stability testing
Outcome A fluid, natural AI experience.
04
Monitored Performance (30 Days)
Optimisation
Goal: Optimise based on real customer behaviour.
We stay with you for the first month to ensure it performs at peak.
  • Track usage, accuracy, conversions
  • Review interaction logs
  • Refine flows + tune performance
  • End-of-month optimisation upgrade
Outcome A high-performing AI system that proves ROI.
Everium AI — Plan Section (Glow CTA)
Automation that Elevates

Our Plan

We keep it simple: scope, ship, scale. Start with a focused win, then compound into systems that free your time and grow your revenue. Precision over noise. Momentum over maybes.

How we work

1) Scope: We map the highest‑leverage workflow. 2) Ship: Launch a working automation fast. 3) Scale: Expand, integrate, and harden with real metrics.

not convinced?

read over these four in depth step by step build plans here->

  • Goal: Understand the business at a microscopic level so we don’t build random automations — we build the ones that make money.

    What we do:

    Audit their workflows, bottlenecks, manual tasks, customer touchpoints

    Identify where time, money, or leads are being lost

    Map out automation opportunities across sales, support, operations, and marketing

    Deliver a clear “AI Impact Blueprint” outlining what will actually move the needle

    Outcome:

    Client sees exactly what they need, why they need it, and what it’ll fix.

  • Goal: Create a tailored AI system that actually works in real-world conditions.

    What we do:

    Architect the automation (chatbot, workflow system, lead handler, CRM integration, etc.)

    Train the AI on their data, brand tone, and use cases

    Run controlled simulations and edge-case testing

    Fix errors, optimise responses, and stress-test reliability

    Outcome:

    A polished solution that performs at a professional level before it ever touches customers.

  • Goal: Deploy the AI without breaking anything.

    What we do:

    Connect the automation to their website, CRM, email flow, Slack, or booking system

    Embed the widget, API, or backend automations with minimal disruption

    Ensure UX stays clean, on-brand, and fully functional on all devices

    Run live tests in real customer environments

    Outcome:

    It looks native, feels natural, and just works — as if it’s always been part of their business.

  • Goal: Make sure the system pays for itself — and then some.

    What we do:

    Track KPIs (response accuracy, conversion rates, time saved, lead quality, etc.)

    Monitor logs, user interactions, and automation triggers

    Optimise workflows based on real customer behaviour

    Provide weekly reports + one major performance upgrade at the end of the period

    Outcome:

    They don’t just get an AI system — they get a month of refinement so it becomes a revenue engine