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//PProcess

How we work, start to system

Eight stages, short cycles, working pieces every week. Nothing goes live without an owner and a rollback plan.

//05How we work

Eight stages from leak to system

No six-month discovery. We find the highest-value leak, build the system that closes it, and keep it earning.
  1. 01Stage

    Discover

    Understand the business.

  2. 02Stage

    Diagnose

    Find bottlenecks, leakage and repetitive work.

  3. 03Stage

    Architect

    Design the AI system.

  4. 04Stage

    Build

    Develop and integrate.

  5. 05Stage

    Test and Validate

    Test, simulate edge cases and optimize.

  6. 06Stage

    Deploy

    Launch into production.

  7. 07Stage

    Scale

    Monitor, improve and extend the system.

  8. 08Stage

    Optimise

    Tune the system against real usage and keep it earning.

//Stage by stage

What happens, what you do, what you get.

Every stage ends with something you can see and check before the next one starts.
  1. 01

    Discover

    Understand the business.

    We sit with the people who do the work and map how a lead, an order or a support request actually moves through the company today, rather than how the org chart says it does.

    Your part

    A discovery call, a questionnaire on how work really moves, and time with the people who do it.

    You walk away with

    A map of how a lead, an order or a request moves today, drawn from what people do, not the org chart.

  2. 02

    Diagnose

    Find bottlenecks, leakage and repetitive work.

    Every step from Discover gets a cost: hours spent, response times, leads lost, errors made. The steps that leak the most become the shortlist.

    Your part

    Share what you already know: rough volumes, response times, the tools each step runs on.

    You walk away with

    A shortlist of the steps that leak the most, each with its cost written down.

  3. 03

    Architect

    Design the AI system.

    The shortlist becomes a system design: what triggers it, what the AI decides, what tools it touches, where a person steps in, and how we will measure it.

    Your part

    Review the design and say where a person must stay in charge.

    You walk away with

    A written system design: what triggers it, what the AI decides, which tools it touches, where a person steps in, and how it is measured.

  4. 04

    Build

    Develop and integrate.

    We build the workflows, agents, voice flows or site features and wire them into your CRM, inbox, calendar and data. You see working pieces every week rather than one reveal at the end.

    Your part

    Give access to the tools it connects to, and look at the working pieces each week.

    You walk away with

    Workflows, agents, voice flows or site features, wired into your CRM, inbox, calendar and data.

  5. 05

    Test and Validate

    Test, simulate edge cases and optimize.

    We run real and simulated cases through the system, including the awkward ones: the angry caller, the half-filled form, the duplicate lead. Anything that fails gets fixed before launch.

    Your part

    Send the awkward cases you remember: the odd caller, the messy form, the customer who writes twice.

    You walk away with

    A system that has already met the edge cases, with every failure fixed before launch.

  6. 06

    Deploy

    Launch into production.

    The system goes live, usually to a slice of traffic first. Your team gets a short walkthrough and a place to flag anything odd.

    Your part

    Join a short walkthrough and flag anything that looks odd.

    You walk away with

    The system live, usually to a slice of traffic first, with an owner and a rollback plan.

  7. 07

    Scale

    Monitor, improve and extend the system.

    With the first system earning, we look at what it touches next: a second workflow, a new channel, a wider set of customers.

    Your part

    Decide which workflow, channel or customer group matters next.

    You walk away with

    The next system scoped on top of the first, reusing what already works.

  8. 08

    Optimise

    Tune the system against real usage and keep it earning.

    Real usage always differs from the plan. We read the logs, adjust prompts, thresholds and routes, and retire anything that stopped paying for itself.

    Your part

    Keep telling us what feels off in day-to-day use.

    You walk away with

    Prompts, thresholds and routes tuned to real usage, and anything that stopped paying for itself retired.

FAQ

Answers before you ask

The questions that come up on nearly every first call. If yours is not here, ask it in the form below and a person will answer.

Two things. It works out where AI belongs in your workflow: a strategy for how to bring AI into the business, in what order and why. And it builds the systems that come out of that plan: AI automations, AI agents, voice agents and the website that feeds them. Scalexia does both, so the strategy is written by the people who will build it.

Two to three weeks from first call to a working system, whatever the project: automation, voice agent or website. The audit takes a day or two, the questionnaire follows, the one-hour working session happens within two days of that, and the build itself is usually done inside a week. When something is urgent it can be implemented in five days. Larger requirements shift the timeline, and you know that before anything starts.

The tools are chosen for the requirement, not the other way round. Once the audit shows what the system has to do, Scalexia picks the automation platform, the model and the voice or web stack that fits that job and your budget, and connects it to the CRM and tools you already use. Nothing is forced onto a favourite stack.

Almost always. Systems connect to your existing CRM, inbox, calendar, phone number, payment provider and spreadsheets through their APIs. If a tool has no API we work around it or tell you before anything is built, so you never have to migrate your team to something new just to automate it.

Every system is built against a number agreed before the build: calls answered, leads replied to, hours of manual work removed. At the end of each month you get a report on that number and on how the system behaved. If the number is not moving, that is treated as something to fix, not something to explain.

No. Every system ships with monitoring, alerts and a short runbook, and your team is trained on the parts they will touch. Ongoing maintenance and expansion are available as a separate, paid arrangement rather than bundled into the build, so you only pay for it if you want Scalexia to keep looking after the system.