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.
//PProcess
//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.
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.
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.
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.
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.
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.
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.
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.
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.
//05How we work
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.
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.
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.
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.
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.
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.
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.
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.
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.