AI strategy · engineering · adoption

From AI strategy to systems that actually ship.

Most AI projects die as slide decks or stalled pilots. We come into your business, study how the work really gets done, then design, build, and embed AI systems that move the numbers you care about — and that your team will still be using a year later.

// strategy > build > integrate > adopt — under one roof

Trusted by operators across
ManufacturingFinancial ServicesHealthcareLogisticsSaaS
The gap

Everyone is "doing AI." Very few are getting paid for it.

The technology isn't the hard part anymore. The hard part is knowing where AI creates real leverage in your specific operation, building it so it fits the way your people actually work, and getting it adopted past the pilot.

Praxor sits between strategy and engineering. We're equally comfortable in the boardroom and in the codebase — which means the roadmap we write is the roadmap we can build, and the system we build is one your team will use.

Why we're different
What we do

Four things, done end-to-end.

You can engage us for one or all four. The handoffs between them are where most AI initiatives fail — so we own all of them.

01

AI strategy & roadmap

We assess your operation, data, and readiness, then build a prioritised roadmap of where AI actually pays off — with ROI estimates, not hand-waving.

  • Workflow & opportunity assessment
  • Data & readiness review
  • Prioritised, costed roadmap
02

Process & workflow redesign

Before automating anything, we map how work really flows and re-shape the process around it — so you're not just paving the cow path with AI.

  • Process mapping & bottleneck analysis
  • Human-in-the-loop design
  • Governance & guardrails
03

Build & implementation

We design, code, and ship the systems — agents, automations, models, integrations — and wire them into the tools your team already uses.

  • Custom AI agents & automations
  • GenAI & model integration
  • Integration with existing systems
04

Adoption & enablement

We train your people, set up monitoring, and transfer ownership so the system keeps delivering long after we've moved on.

  • Team training & change management
  • Monitoring & optimisation
  • Knowledge transfer & handover
How we work

A path from "we should use AI" to running in production.

A clear, de-risked sequence. Each phase has a defined output, so you always know what you're getting and what it's worth before the next one starts.

Phase 01

Discover

We learn how your business actually runs — workflows, data, constraints, and where the real friction is.

Phase 02

Design & prove

We prioritise opportunities, write the roadmap, and build a working proof-of-concept to de-risk the bet.

Phase 03

Build & embed

We ship to production, integrate it, train your team, and hand over something you can run yourselves.


2–4 wks
From first audit to a costed, prioritised roadmap
4–8 wks
Typical time to a working proof-of-concept
100%
Of builds shipped with adoption & handover included
1 team
Strategy and engineering, never handed off

// Illustrative figures — replace with your own results before launch.

In their words
"They didn't hand us a strategy and leave. They built the thing, sat with our team, and didn't call it done until people were using it daily."

— COO, mid-market logistics

01 / Outcome-first

We scope to a number, not a deck.

Every engagement is tied to a metric — cost, cycle time, revenue, capacity. If we can't find one worth chasing, we'll tell you.

02 / We build it ourselves

Strategy and engineering in one team.

No throwing a roadmap over the wall to a separate dev shop. The people who plan it are the people who ship it.

03 / Adoption is the deliverable

A system nobody uses is a failed project.

We design for the humans in the loop, train your team, and hand over something you can own and run without us.

Start here

Find out where AI is worth it in your business.

Book a free AI audit. In one focused session we'll map your workflows, flag the two or three highest-leverage opportunities, and tell you honestly what's worth doing — no obligation, no jargon.