True Arris

AI Consultancy & Products

Intelligence that matches
the ambition.

We help enterprise, mid-market and PE-backed teams turn AI ambition into measurable advantage — without the theatre.
Boardroom-ready business cases backed by your own data.

Our Approach

We prove it works before you commit.

Every engagement is structured, scoped to your situation and ends with evidence: a working prototype, a measured business case, or a clear recommendation.

Discover

Most AI projects fail because they skip this step. We map your operations, data, and people to find the opportunities others miss — so every pound you invest goes where it matters most.

Prove

Before you commit budget, we build a working prototype on your real data. You see the results. Your board sees the business case. No guesswork — just evidence.

Deliver

We don't hand over a report and walk away. We build, deploy, and train your team until the solution is live and delivering measurable ROI — not sitting in a backlog.

Scale

When it works, we help you scale it. Production-grade AI products, built in short cycles, measured against real outcomes. Your competitive advantage — compounding.

Our Services

One service can change everything.

We’ve mapped eleven engagements across four phases, so you can start exactly where your problem lives, not where a framework says you should. Pick one. Get results. Go further if you want.

Hover a bubble to see what it does. Click to read the full engagement.

Discover
Prove
Deliver
Scale

Our Products

Purpose-built tools for AI-ready businesses.

Every product we ship solves one expensive problem — and pays for itself within weeks, not quarters.

Delivered in 2–4 weeks

We benchmark your AI readiness against the seven pillars of the AI Maturity Model and hand your leadership a board-ready report — current scores, right-sized targets, and a prioritised action plan. Here is what an actual deliverable looks like:

Sample Output

Meridian Retail

AI Readiness Diagnostic · Q2 2026

1.7/ 5.0

Level 2 · Active

Target 2.8 · Transitioning to Operational

Maturity by pillar · ordered by opportunity gap

GovernanceCritical1.02.5

Lightweight AUP; manage shadow AI

Use Cases1.63.0

Deploy 2–3 production use cases; track ROI

Operating Model1.22.5

AI Champions; basic cross-functional cadence

Engineering1.02.0

Manual integrations; vendor solutions over custom

Data1.82.8

Fix priority quality issues; build knowledge base

Strategy2.23.0

Document AI vision; establish budget line

People & Culture2.83.5

Formal tiered training; maintain strength

Top priorities

  1. IEstablish lightweight AI governance — address shadow AI and unlicensed tool usage
  2. IILaunch a tiered training programme — convert AI enthusiasm into measurable capability
  3. IIIBuild an internal knowledge base — centralise policies, procedures, and how-to
  4. IVFix priority data quality issues — unblock the top AI use cases without a platform overhaul
Projected savingsUnder NDA
PaybackUnder NDA
Risk profileQuantified

Benchmarked score · prioritised action plan · 30-min debrief with our founders.

Ready in 4–6 weeks

Connect your data sources once and let anyone in the business ask questions in plain English. Instant answers, visualisations, and follow-up suggestions — no SQL, no dashboard requests, no waiting on the data team. Three real-world examples, three different answer shapes:

Sample Queries

Meridian Retail

Talk to Your Data · Q2 2026

12.3sec

Avg time to insight

Finance

Which SKUs had the biggest margin drop last quarter and why?

Three SKUs account for most of Q3's margin contraction — each from a different cause. The biggest single hit is SKU-1204, where rising cocoa input cost pulled the margin down 4.2 points. Here's the breakdown:

SKUΔ MarginDriver
SKU-1204−4.2 ptsRising cocoa input cost
SKU-0831−3.1 ptsPromotional overlap with SKU-0830
SKU-2145−2.8 ptsOne-off Asia freight surcharge

Ask about SKU-1204 to see the cocoa cost timeline

HR

Where are we losing the most people and how does that compare to last year?

Yes, attrition is up — but it's not broad-based. Two sites are driving almost all of the increase, while the rest of the estate is stable. Voluntary attrition is up 2.4 pts YoY, concentrated in Warsaw and Manchester:

Warsaw delivery hub12.4%·+5.1 pts YoY
Manchester CS floor9.8%·+3.7 pts YoY
All other sites4.2%·flat YoY

Break down Warsaw exits by tenure cohort

Operations

Why did our on-time delivery rate slip in November?

The 4.6-point drop is almost entirely explained by a single operational event — a port delay at Felixstowe that held 312 shipments. Stripping that event out, OTD would have been broadly flat. Here's the trace:

OTD 89.6%−4.6 pts vs October
Driver · Port delay at Felixstowe312 shipments rerouted or held
Contribution · 3.8 of 4.6 pts83% of the November drop traced to this single event

Same pattern recurred mid-December — flag for S&OP review?

Data sources connected7
Time saved per queryUnder NDA
Data team ticketsEliminated

Instant answers · smart follow-ups · insights your team can act on immediately.

More products in development. Reach out to discuss early access.

Why True Arris

Less theatre. More results.

Two decades at enterprise scale. Most AI projects fail for want of end-to-end vision, not technology. True Arris exists to fix that gap.

What's in the name

An arris is architecture's sharp edge — structural, exact, stronger for the union. We create that edge where business strategy meets AI capability. True because we do not pretend. We prove.

What we've got

Two careers at enterprise scale. The numbers below are shipped work — not projections.

40+
Combined years at enterprise scale
$200M+
Value delivered to clients
40+
Live AI systems in production
180+
Countries across 4 continents

What we've delivered

No single industry lens. No single solution bias. We recognise the patterns before we inherit the problems.

Industries:FMCGFinancial ServicesAutomotiveMediaRetailTechnology

Solutions:MarTechERPHR TechGBSBack-office

Andrey Audzei

Andrey Audzei

Co-founder

London, UK

Engineering-Focused Technology Executive with 20+ years of experience in enterprise AI, data, digital transformation, cloud delivery, engineering leadership, and innovation programmes across Europe, the Middle East, and Africa — focused on how evolving technologies impact businesses, industries, and day-to-day lives.

Technology alone doesn't transform a business. Delivery does.
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Dmitry Eidzin

Dmitry Eidzin

Co-founder

London, UK

Business Value-Focused Technology Executive with 20+ years of experience in IT strategy, transformation, innovation, CXO engagement, operations, and global leadership roles across software, consulting, manufacturing and consumer goods.

A good team can ship the technology. Making people use it, and the business feel it — that's the actual win.
Connect on LinkedIn

Every engagement we're proud of began exactly like this — with a single, honest conversation. Yours could be the next one.

Get in Touch

Start with a conversation.

Meet Arris — our AI assistant. Chat with Arris for 30 seconds and your message lands on a founder's desk. No pressure, no pitch. Or email us directly at hello@truearris.com.

Or connect directly with our founders