Strategic AI Transformation

Let’s transform your business with AI (the right way)

Here’s the thing about AI transformation: most companies do it backwards. They buy the shiniest AI tool and then frantically search for problems to solve with it. That’s like buying a sports car and then figuring out where you need to go.

We start with your actual business problems (the ones keeping you up at 3am) and then work out if AI is genuinely the answer. Sometimes it is. Sometimes it spectacularly isn’t. Either way, you’ll know.

How We Actually Work

Prefer email? and see how we embed alongside your people.

What partners say

“Sam and the team embedded like an internal squad. Their ability to translate messy business problems into pragmatic AI solutions is rare. It’s strategy and delivery in the same conversation.”

Trusted by venture-backed teams across the UK, EU, USA, and the Middle East

Most AI projects fail. Let’s talk about why.

Look, we need to be honest with each other here. About 70% of AI projects completely fail. It’s not a “didn’t quite meet expectations” outcome. It’s a properly crash-and-burn failure, and it’s almost never because the technology wasn’t clever enough.

It’s because someone started with “we need AI” instead of “we need to solve this specific, painful problem that’s costing us money/time/sanity.” Real AI transformation isn’t about making your current processes faster. That’s just expensive automation with extra steps. It’s about fundamentally rethinking how your business works.

And here’s what nobody tells you: sometimes the answer isn’t AI at all. Sometimes it’s just better processes. Or different people. Or admitting that the problem you think you have isn’t actually the problem. We’ll tell you the truth, even when it’s not what you want to hear. Especially then.

70%

of AI projects fail because they started with the technology instead of the problem

3-6 months

to figure out what you’re actually trying to solve (and whether AI is the answer)

10-20-70

BCG’s formula for AI success: 10% algorithms, 20% technology, 70% people and processes (yes, really)

Why we’re different (without the usual consultant nonsense)

We diagnose first, prescribe later

Remember when doctors actually listened to you before prescribing things? That’s us, but for your business problems.

We spend the first few weeks just... listening. Understanding your constraints, your politics (yes, office politics matter), your real opportunities, not the ones in your pitch deck. Only then do we even mention AI.

Because honestly? If your problem is that nobody talks to each other, AI won’t fix that. But if your problem is analyzing 10,000 data points that humans physically cannot process... well, now we’re talking.

Let’s talk about the messy reality of your organisation. See how we embed with teams like yours.

Strategy that actually makes sense

Every AI project should start with one simple question: “What specific competitive advantage will this create?”

Not “it’ll be cool” or “our competitors are doing it” or “the CEO read an article.” What. Specific. Advantage.

We define success metrics before writing a single line of code. We identify what capabilities you need (and which ones you are missing). We work out what this will actually cost versus what it will actually return.

Let’s talk about the messy reality of your organisation. See how we embed with teams like yours.

We build what we recommend

Here’s where we’re genuinely different from traditional consultancies: we don’t hand you a 200-slide deck and wave goodbye.

Our team actually integrates with yours. We design it, we build it, we deploy it, we make sure it actually works in your chaotic real-world environment (not just in a pristine demo).

Your AI transformation doesn’t end with a PowerPoint. It ends with working software that solves real problems.

Let’s talk about the messy reality of your organisation. See how we embed with teams like yours.

How we actually work (the honest version)

We have a five-phase process. Before you roll your eyes (yes, every consultancy has a five-phase process). The difference is ours actually makes sense, and we’ll happily skip phases if they’re not relevant to you.

Strategic diagnosis (or: “What’s actually wrong here?”)

We start by digging into your business model, your competitive position, and your operational constraints. Not the sanitized version you’d tell investors; the real version, warts and all.

What you get

A brutally honest business capability audit
AI readiness assessment (you might not like the answer)
Opportunity prioritization matrix (with the politics factored in)

Value hypothesis (or: “Will this actually work?”)

For each opportunity, we develop a hypothesis: what specific business outcome improves, by how much, with what investment, and (this is important) what’s the likelihood we’re completely wrong? Because sometimes we are! Better to find out now than after spending six months building something.

What you get

Strategic AI roadmap (with backup plans)
Investment vs. return analysis (including the "this might fail" scenario)
Success metrics everyone actually agrees on (harder than it sounds)

Rapid prototyping (or: “Does this work in the real world?”)

We build a focused prototype. Not a full working version; a working-enough-to-validate-the-idea version. This is where we figure out if the technology actually does what we hope it does, or if we’ve all been wildly optimistic.

What you get

A proof-of-concept you can actually test
Technical feasibility report (in English, not jargon)
Scaled implementation plan (or a pivot plan if the prototype revealed problems)

Full implementation (or: “Let’s build this properly”)

Our development team embeds with yours. We handle architecture, integration, security, and compliance: all the un-glamorous stuff that determines whether your AI actually works or becomes an expensive science experiment.

What you get

Production-grade AI systems that handle real-world chaos
Integration with your existing platforms (yes, even that legacy system from 2003)
Training and documentation your team will actually use

Continuous evolution (or: “It’s never really done”)

AI transformation isn’t a project. It’s a capability. The models drift, the business changes, competitors adapt. You need ongoing monitoring, feedback loops, and continuous improvement.

What you get

Performance monitoring dashboards that catch problems early
Regular optimization recommendations
Strategic guidance as your needs evolve

Honest AI conversations

Tell us what’s keeping you up at 3am

Drop the buzzwords and share the messy version of the challenge. We’ll map a path forward, whether that’s AI, process change, or a mix of both, and we’ll turn it around quickly so momentum doesn’t stall.

Prefer to read first? Explore our approach to embedded teams and how we stay accountable from strategy to launch.

Where AI transformation actually creates value (real examples, no hype)

Revenue intelligence command centre

Unify CRM, billing and marketing data so leadership sees pipeline health, pricing opportunities and cash flow threats in one place, updated hourly, not quarterly.

Result we’ve driven: surfaced £2.3m in upsell potential by ranking existing accounts by expansion likelihood and automating follow-up workflows for sales.

Curious what this looks like in practice? Explore the Wiserfunding, SportsIcon, OneTribe and Knorr case studies.

Customer retention early-warning system

Combine product analytics, support transcripts and contract data to flag at-risk customers weeks before renewal conversations begin. Arm success teams with the next best action, not generic playbooks.

Result we’ve driven: reduced churn by 18% for a SaaS client by pushing personalised save-offers into their internal success console and syncing updates back to HubSpot.

Curious what this looks like in practice? Explore the Wiserfunding, SportsIcon, OneTribe and Knorr case studies.

Margin guardrails for operations

Map every operational touchpoint (inventory, logistics, finance) to spot cost leakage automatically and trigger approvals when spend deviates from plan.

Result we’ve driven: protected £640k in annual margin by auto-adjusting supplier allocations when live data flagged shipping delays that would have incurred rush fees.

Curious what this looks like in practice? Explore the Wiserfunding, SportsIcon, OneTribe and Knorr case studies.

Product delivery accelerators

Embed AI assistants directly into your internal tooling so engineering, product and design teams ship faster, with automated requirements breakdowns, QA triage and documentation clean-up.

Result we’ve driven: shortened feature delivery cycles by 32% by integrating backlog summarisation and release note generation into an existing Linear + Notion workflow.

Curious what this looks like in practice? Explore the Wiserfunding, SportsIcon, OneTribe and Knorr case studies.

Market and competitor radar

Monitor analyst reports, news, social chatter and tender portals, then translate it into board-ready insights about where to invest or defend.

Result we’ve driven: informed a mid-market executive team about an emerging competitor play three months earlier than manual monitoring, guiding a pricing response that protected pipeline.

Curious what this looks like in practice? Explore the Wiserfunding, SportsIcon, OneTribe and Knorr case studies.

Risk & compliance autopilot

Ingest policy updates, transaction logs and comms trails to run compliance checks continuously, with explainable outputs your auditors will actually accept.

Result we’ve driven: removed 400 hours of manual review time each quarter by automating AML exception handling while keeping the risk team firmly in control.

Curious what this looks like in practice? Explore the Wiserfunding, SportsIcon, OneTribe and Knorr case studies.

We’re technologists who understand strategy (rare combination, apparently)

Here’s our unfair advantage: we bridge strategy consulting and technical execution. We bring both the strategic clarity to define what to build and the engineering expertise to build it properly.

Our AI technology stack (in plain English)

Large Language Models
GPT-5, Claude, Llama families, domain-tuned models
Vector Databases
Pinecone, Weaviate, Qdrant
Orchestration
LangChain, LlamaIndex, Mastra AI, custom pipelines
Infrastructure
AWS, Azure, GCP AI services, Serverless

We always pick the stack that serves your requirements and lets us move fast without inflating costs. That means battle-tested tools when you need stability and cutting-edge models when they unlock advantage. No vendor lock-ins, just pragmatic speed.

Security (because your data is your competitive advantage)

AI systems handle your most sensitive business data. One security breach could undo years of competitive advantage. We architect every solution with security-first principles.

GDPR and data protection compliance (actual compliance, not checkbox compliance)
End-to-end encryption (your data stays yours)
Model security and prompt injection protection (yes, AI systems can be hacked)
Comprehensive audit logging (you’ll know exactly what happened if something goes wrong)
Secure deployment pipelines (no cowboy deployments)

Want to dig deeper into our engineering practices?

What our clients say about us

The best way to understand our partnership style is to hear from the founders and operators who trust us with their biggest initiatives.

“My working relationship with Sam and Antler team has been ongoing for over three years. It started with the redesign and build of our marketing site and has progressed to him and the team handling the design and development of the frontend of our bespoke risk management platform. We’d recommend the team to others looking for talent to take their product to the next level.”

Gabriele Sabato

CEO & Co-Founder, Wiserfunding

“The team at Antler Digital was able to take our complex ideas and turn them into a functional and user-friendly SaaS app. They brilliantly handle the frontend of our fintech both with design and development. We love working with them as an in-house team where they bring the expertise we needed.”

Jeremy Taylor

CTO, Wiserfunding

“We’ve been working with Sam and the team at Antler for nearly two years. They’ve upgraded and improved our core website as well as built out entire new sections of the site with the state-of-the-art Jamstack approach. They’ve done and continue to do a brilliant job.”

Nick Morss

General Manager, DeZaan

“From design to building the Label LIVE website, Antler saw the vision I was trying to put across and brought it into reality. With adaptable technical solutions and modern tools they’ve built a blazingly fast, modern and secure marketing site for Label LIVE.”

Caylan Larson

Founder, Label LIVE

“The SportsIcon platform is a testament to Antler’s ability to build modern, scalable web applications. Their attention to detail and commitment to excellence are evident in every aspect of the platform, from its design to its functionality. I would highly recommend them to anyone looking to build a cutting-edge digital solution.”

Alexi Yovanoff

COO & Co-Founder, SportsIcon

“We needed a modern site for our agency that we couldn’t get with a prebuilt site. Antler team built this fantastic, fast, secure and most importantly stunning site for us. Working with them was a breeze and having access to their knowledge and experience really helped us get the best from our site.”

Jordan Doughty

Founder, Open House Media

“We wanted a full-blown new brand for our medical agency. We weren’t sure where to start and whether we needed a website designer, developer, or just a normal designer. When we came to Sam and his team we got everything we needed. They guided us through the branding process, developing it into a full website with some incredible unique design features that we hadn’t seen elsewhere.”

Ellie Collins

Founder & CEO, Synthesis

“I was impressed by the way Antler approached the design and development of the SportsIcon platform. They took the time to understand our vision and built a solution that exceeded our expectations. They communicated efficiently and easily, and we felt completely comfortable letting them improve on the design whilst developing the platform. They did a brilliant job.”

Riku Sarkinen

CTO, SportsIcon

Real projects, real outcomes

We’ve worked across fintech, blockchain, environmental tech, and major consumer brands. Each project taught us something new about what works, and what spectacularly doesn’t.

Some of our clients

FinTech

Designing and Building the Frontend of Wiserfunding’s New Platform

Discover how we overhauled Wiserfunding’ platform frontend to enhance user experience, with a seamless and intuitive design.

Read the case study

Crypto

Building an NFT Platform on the Flow Blockchain

Jumping headfirst into blockchain with SportsIcon as the dedicated frontend team when developing their cutting edge Sports NFT Platform. See how we overcame challenges with Flow and produced a market leading NFT platform.

Read the case study

Environmental

Rebuilding and Improving an Environmental SaaS Platform Tackling Saving the World

Learn how we took on the challenge of rebuilding and improving an environmental SaaS platform. See how we integrated into the company to handle platform improvements and help the company continue to its mission of creating a more sustainable future.

Read the case study

Digital Brand Book

Building an Internal, Editable Static Style Guide For Knorr

Working with a partner learn about our meticulous construction of a style guide for major brand Knorr.

Read the case study

Questions people actually ask us

These are the real questions we get in discovery calls. Better to answer them here than pretend they never come up.

It’s helping businesses fundamentally redesign how they operate using artificial intelligence, but starting with the business problems, not the technology. We identify the strategic challenge, decide if AI is the right lever, and design implementation that doesn’t derail your organisation.

Digital transformation is usually about modernising infrastructure and digitising existing processes. AI transformation creates entirely new capabilities: predictive, adaptive systems that unlock competitive advantage instead of simply making current workflows faster.

Strategic diagnosis and roadmap: 4-6 weeks. Proof-of-concept: 4-8 weeks. Full production implementation: 3-9 months depending on complexity and regulation. But AI transformation becomes an ongoing capability, and we keep optimising as your market evolves.

Not at all. We embed alongside your people and operate as your AI team until you’re ready to build one. Some clients build internal capability with our help; others keep us as their external squad. Both models work.

Every initiative starts with a measurable business hypothesis: revenue growth, cost reduction, retention, time saved. If we can’t quantify the impact, we shouldn’t build it. We monitor those metrics continuously once the solution goes live.

We specialise in problem types more than industries: decision intelligence, customer experience, operational efficiency and product innovation. We’ve delivered for fintech, SaaS, climate tech and consumer brands, and we’ll introduce you to partners better suited if your challenge sits outside our sweet spot.

Still have questions? .

Let’s have an honest conversation about AI

No pressure, no sales pitch, no vendor nonsense. Just an honest conversation about your business challenges and whether AI transformation creates genuine strategic value for you. Worst case, you get clarity. Best case, we build something brilliant together.

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