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Enterprise AI & Analytics

Turn your data into your strongest asset

Every organization now has more data, more models and more AI options than it can use. The advantage goes to those who can separate signal from noise and act on it, whether that's a real-time dashboard, a predictive model or an autonomous agent embedded in a live workflow.

Amplifi designs and delivers modern data and AI platforms that turn trusted data into real-time insight, prediction and action, using the right mix of ML, GenAI and multi-modal AI for the job.

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Recognized by Gartner®

Market Guide for AI and Data & Analytics Services Providers

300+

Global clients

a critical capability

Why enterprise AI and analytics matter now

Every organization is under pressure to show results from AI.

Spending is rising fast, but value isn’t following automatically. AI adoption depends on the readiness of people, processes and technology, not just the size of the investment. The organizations pulling ahead are the ones treating analytics and AI as an enterprise capability rather than a series of disconnected pilots.

That capability rests on three things: trusted data foundations, the right platform architecture, and the data literacy, culture and discipline to act on what the data says. Collecting and curating data isn’t enough, the real work is in turning it into insight people trust, predictions the business acts on, and automation that runs reliably at scale.

Amplifi brings decades of data expertise to that challenge, from analytics strategy and platform design through to data products, machine learning and generative AI, delivered in a way your teams can own.

According to Gartner®, only 17% of organizations have deployed AI agents, yet over 60% expect to within two years.

Sub services

Our Enterprise AI & Analytics services

Advanced Analytics

We turn trusted data into insight and foresight through business intelligence, data science, and predictive analytics that help your teams see what's happening and anticipate what's next.

Insight is only the start…

Most organizations can build a dashboard, but far fewer can turn it into a decision, a prediction or an automated action. That's where Amplifi come in.

business challenges

Do any of these sound familiar?

Reporting is manual, analytics processes are inefficient, and by the time a problem shows up in a dashboard it's too late to fix it. Your team is fighting fires instead of getting ahead, and there's no time or skill capacity to change that.

Different teams answer the same question with different numbers. Ownership and governance are unclear, executives are losing trust in the data, and decisions slow down as a result.

Data is being generated across the business but never collected, or sits in systems that have never been connected. You've invested in data platforms like Snowflake, Databricks or Power BI, yet still can't answer basic business questions.

There's no shortage of data, just a shortage of insight. Dashboards multiply, but nobody can separate signal from noise or embed what they learn into an actual workflow.

Leadership wants AI results, but pilots stall or produce unreliable answers. Without solid data foundations and a clear architecture, AI initiatives falter before they reach production.

Our clients

Which leading brands have trusted Amplifi with their data and AI?

Guide download

6 expert tips for driving business value with AI

Unlock real business value from generative AI with six expert strategies that help organizations build strong data foundations, improve decision-making, and drive measurable outcomes with confidence.

our approach

Enterprise AI & Analytics with Amplifi

Whatever stage you're at, we meet you there. Our approach combines specialist analytics and AI expertise with unmatched practical delivery experience, tailored to your organization's data landscape, maturity and goals. We aim for every engagement to leave your organization more capable than we found it.

01

We start with the outcome, not the tool

Before anyone writes code, we define what success looks like and test the business case. Every initiative should map to P&L impact or clear, measurable ROI. No dashboards built for the sake of it.

02

We pick the right technique for the job

Not every problem needs GenAI. Sometimes deterministic logic or traditional analytics is faster, cheaper and more reliable. We start small, prove value on real scenarios, then scale what works and drop what doesn't.

03

We build on trusted foundations

AI and analytics are only as good as the data beneath them. We work hand in hand with our Trusted Data Foundations practice so insight, models and agents run on governed, high-quality data from day one.

04

We work ourselves out of a job

We transfer skills as we deliver: training your people, embedding best practice and standing up the operating models and Centers of Excellence you need to run analytics long after we've gone.

Featured Case studies

Private LLM POC Delivery Time

2 weeks

Improving data reliability and accurate insights through AI and predictive analytics

Amplifi partnered with a leading research and consulting organization to implement predictive analytics and a private, bespoke LLM to achieve core business goals.

Our partners

The right tech for the job

We design, deliver and optimize across the leading data and AI platforms, and we're agnostic on which is right for you. We support the full analytics lifecycle, from strategy and platform architecture to Analytics Centers of Excellence and data products, delivering, advising or coaching depending on what your team needs.

View all partners

insights

Further reading

Blog
The missing layer in Enterprise AI: Why business meaning matters more than the model Every major data platform is investing in semantic capabilities – but why? Our SVP of AI & Analytics, Ryan Moore, explores what's driving this shift and why capturing business meaning is becoming a critical component of enterprise AI strategy. Download the full paper below!

FAQs

You ask, we answer.

The questions we hear most from data and AI leaders, and how we approach them.

Faster than most expect when the scope is tight. We start with a workshop to define a first use case, then deliver in agile sprints. A focused analytics MVP or proof of concept typically lands in weeks, not months; enterprise platform programs run longer and are phased so value shows early.

It depends on scope, maturity and delivery model. Advisory and coaching costs less than running a full program on your behalf. An initial assessment gives you a scoped roadmap and a clear view of investment before you commit to anything larger.

Almost certainly. Our teams work daily across Microsoft Fabric, Power BI, Databricks, Snowflake, Dataiku, Tableau and Azure, and we’re platform-agnostic on recommendation. If your platform isn’t listed, just ask!

Not entirely, but in parallel at minimum. AI and analytics built on untrusted data produce untrusted answers. Where foundations are weak, we address them alongside delivery through our Trusted Data Foundations practice rather than waiting for a perfect state that never arrives.

Start with a business case, not a technology. We help you quantify the value of a specific use case, the cost of the status quo and the resources required, so leaders see outcomes and ROI rather than a request for tools.

Let's start a conversation about data.

Send us a message and one of our data experts will get back to you as soon as possible.