Our process

Design. Deliver. Evolve.

Every engagement follows the same three phases across one week. We move fast, deliver working systems, and stick around to make sure everything runs clean.

Design

Day 1–2

We look at how your team spends their time, find the repetitive work, and build a blueprint for what to automate. You'll see exactly what the system will do and what it'll save you before we build anything.

Discover
Team Interviews
How your team actually spends their day
Workflow Mapping
Document existing processes and tools
Time Sink Analysis
Where repetitive work lives
Prioritise
Automation Candidates
What can be automated today
Impact Scoring
Hours saved per workflow
ROI Projection
What it'll save you each month
Blueprint
System Design
Architecture and data flows
Integration Plan
Your existing tools wired in
Approve
Build Scope
Exactly what gets built
Sign-off
Green light to start building
DESIGN PHASE

Full operations review across your current workflows, tools, and team activities.

Identification of the repetitive work that's eating your team's time.

Blueprint showing exactly what the system will do, what it'll cost, and what you'll save.

Your team's involvement: a couple of hours telling us how things work today.

Deliver

Day 3–5

We build the system, wire it into your existing tools, and test with real data. Your team's involvement is a few hours telling us how things work today.

Phase 2
Deliver
Building
build.sh
$ easton build --client
Wiring system components...
✓ Workflows configured
✓ Tool integrations connected
✓ Real data loaded
Running tests with live data...
✓ All checks passed
$ easton test --end-to-end
Validating edge cases...
✓ System ready for go-live
$
System components
Core AI engine
agents / routing / memory
built
Tool integrations
CRM / Slack / calendar
built
QA & testing
47 / 47 checks passed
done
Team handover
training / runbooks / docs
done

Full system build wired into your existing tools and tech stack.

Testing with your real data, not dummy examples.

Edge-case handling and QA baked in from the start.

Your team's involvement: a few hours explaining how things work today.

Evolve

Day 6–7

We train your team, run final checks, and switch it on. The system starts handling work immediately. We stick around for the first week to make sure everything runs clean.

Phase 3
Evolve
Live
System Status
Live
All systems running
Deployed and handling work
Accuracy
0%
Validated with real data
Response Time
0s
Production speed
Team Trained
0%
Everyone onboarded
Tasks Automated
0
Running from day one
First Check-in
Day 14
Post-launch performance review
Scheduled

Team training so everyone knows how to use the system from the first hour.

Final checks and validation before we flip the switch.

The system starts handling work immediately. No waiting period.

We stick around for the first week to catch anything and make adjustments.

After go-live

Ongoing

After go-live, we do monthly performance reviews, track team adoption, refine the system, and recommend expansions. The system gets better over time.

Monthly performance reviews covering usage, accuracy, and output quality.

Team adoption tracking with targeted support where uptake is low.

Continuous refinement based on real-world usage data.

Expansion recommendations when new automation opportunities come up.

Ready to start?

Book a call and we'll scope your build. One week from kickoff to a working system.

Book your diagnostic call