— 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.
— 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 1–4 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
Maturity
Policies, ethics, risk, compliance, audit
Portfolio, pilots, production, value measurement
Roles, processes, coordination, vendors
Infrastructure, ML Ops, pipelines, integration
Quality, accessibility, architecture, AI-ready datasets
Vision, roadmap, alignment, investment, sponsorship
Awareness, skills, training, adoption readiness, cultural support
Maturity levels
Sample Output
Meridian Retail
AI Readiness Diagnostic · Q2 2026
Recommendations
Based on our assessment, we recommend Meridian Retail focus on the following priorities across the next phases of its AI journey — judged on Impact and Effort together, not one versus the other:
Tier 1
AI Foundations
0–30 days
AI Governance
Policy, security guidelines, ethical principles and approved tools
Impact High
Effort Low
AI Training Programme
Responsible AI, security for AI, prompt engineering, tools
Impact High
Effort Medium
AI Champions
2–3 champions to drive adoption and support colleagues
Impact Medium
Effort Low
Shadow AI Management
Expand Claude Enterprise licences or establish free-tier guidance
Impact Medium
Effort Low
Tier 2
AI for Productivity
30–90 days
Knowledge Base
Internal AI assistant (NetSuite how-to, product info, policies, procedures)
Impact High
Effort Low
Claude Projects Sharing
Set up and share projects, templates and best practices
Impact High
Effort Low
Tool Standardisation
Deprecate shadow tools
Impact Low
Effort Low
Data Quality
Address NetSuite/Vertex reconciliation issues
Impact High
Effort High
Tier 3
AI for Business
90+ days
Talk to Your Data
AI-powered business insights
Impact High
Effort High
Example use cases
- ·Price Analysis and Management
- ·Data Inconsistency Management
- ·Warehouse Management
- ·Customer Churn Prediction
- …and more
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
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:
→ 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:
→ 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:
⚠Same pattern recurred mid-December — flag for S&OP review?
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.
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
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.”Connect on LinkedIn
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