Why us

The people who scope your audit are the people who build your system.

We're AI engineers who ship code, process analysts who understand operations, and low-code specialists who move fast. One team, end to end.

Engineers working side by side on laptops around a shared table — The delivery team, mid-buildfig. 03

How we work

Six commitments every engagement is built on

Delivery approach: Hybrid by default: custom Python where the logic matters, no-code connectors where speed wins. Working automations ship in weeks, not quarters.
Architecture: AI-native from the start: LangChain, CrewAI, and vector stores are part of the design, not retrofitted onto legacy tooling.
Team composition: AI engineers, process analysts, and low-code specialists working as one unit on your project. No handoffs between departments.
Scoping: Every engagement starts with a workflow audit that defines the KPIs the build is measured against, before any code is written.
Integration: We build into the systems you already run (CRM, ERP, helpdesk, chat tools) rather than asking your team to adopt new ones.
Measurement: Impact is tracked against the audit's agreed KPIs after launch, so results are visible rather than assumed.

Three colleagues talking through a problem at a desk in an open office — Scoping session: no account managers in the roomfig. 04

Who you'll work with

Founder-led delivery, end to end

aiautomationx is founder-led: the person who scopes your workflow audit is the person accountable for the build that follows. You work directly with the people writing the code and wiring the integrations:

no account managers, no handoffs

Engagements combine AI engineering, process analysis, and low-code delivery in one team, sized to the project.

Prefer a capabilities overview? See what we design and build.

Process

From audit to measured outcome

The same five steps that run every engagement, scoped in the audit and measured after launch.

Discovery & analysis

Step 01 · <1 week

Map how work moves today and rank automation opportunities by expected impact.

Deliverable: Automation roadmap.

Strategy & design

Step 02 · <1 week

Agree the approach, systems in scope, and success metrics before build starts.

Deliverable: Technical plan.

Build & integrate

Step 03 · 2–8 weeks

Ship working software into the systems you already run, with reviewable increments.

Deliverable: Production automation.

Launch & handoff

Step 04 · 1–2 weeks

Deploy, train the people who will use it, and confirm monitoring is in place.

Deliverable: Live system + training.

Optimize & extend

Step 05 · Ongoing

Improve against the audit KPIs and expand to adjacent workflows when it makes sense.

Deliverable: Measured iteration.

See how our approach fits your automation project.

Book a workflow audit