data & ai

turn your data into ai capabilities for what’s next

bring ai into the systems, decisions, and workflows that move your business forward.

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ai needs more than a model to change how business gets done.

the real opportunity lies in what ai makes possible across the business, from better decisions and faster processes to entirely new ways of working.

22%

of organizations have successfully scaled ai across multiple business units or adopted an ai-first approach.

Gartner, 2026

39%

of organizations report that ai is contributing to enterprise-level ebit.

McKinsey, 2026

70%

of technology leaders say teams across their business are deploying technology faster than IT can track.

IBM, 2026

91%

of surveyed executives say they do not fully understand their ai dependencies across vendors, models, and infrastructure.

IBM, 2026

25%

of ai initiatives have delivered the expected roi over the last few years.

IBM, 2026

A hand interacting with a holographic AI interface
AI creates business value when data, technology, & strategy align.

what surrounds ai determines what it can deliver.

the model is only part of what makes ai work. what it knows, where it operates, how people use it and what the business needs from it shape what it delivers.

01

data

it has to know enough to be useful.

give ai reliable context from data that is available, connected and trusted.

02

intelligence

it has to reveal something worth acting on.

turn data into meaningful insights that help people make informed decisions.

03

engineering

it has to hold when the business depends on it.

engineer ai into the systems, products and workflows where it has to perform reliably.

04

people

it has to work for the people using it.

design ai around how people actually decide, create and work, with the context and control they need.

05

business

something has to change because of it.

connect ai to the business outcome behind the investment, whether that means revenue, cost, speed, customer experience, risk or capability.

ai works better when everything around it works together.

from strategy and data to engineering and adoption, connect every layer around the outcomes your business needs.

see how ai can help you
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A team member smiling while working with AI-driven tools

everything you need to move ai forward.

whatever stage you are at, connect strategy, data, ai, and engineering around the problems you need to solve and the outcomes you need to achieve.

01

Data & AI Strategy

Know where AI can create value.

Define the right priorities, use cases, technology, and operating model to move from AI ambition to measurable business outcomes.


Data & AI Strategy · AI Roadmaps · Use-Case Prioritization · Investment Planning · AI Operating Models

02

Data Platforms & Engineering

Build the data foundation AI depends on.

Connect, modernize, and engineer enterprise data so it is accessible, reliable, and ready for analytics and AI.


Data Architecture · Data Platforms · Data Engineering · Cloud Data · Data Modernization · Data Integration

03

Analytics & Decision Intelligence

Turn data into better decisions.

Connect business data, analytics, and intelligence to help teams understand what matters, act sooner, and make better decisions.


Decision Intelligence · Advanced Analytics · Predictive Analytics · Business Intelligence · Data Visualization

04

Generative & Agentic AI

Put intelligence into the work.

Build enterprise agents and generative AI that use organizational knowledge to improve experiences, automate workflows, and augment how teams work.


Enterprise Agents · Generative AI · RAG & Knowledge Assistants · Agentic Workflows · LLM Orchestration · AI Integration

05

Responsible AI & Governance

Make AI trustworthy at scale.

Establish the ownership, policies, controls, and oversight needed to make AI secure, reliable, responsible, and trusted by decision-makers.


AI Governance · Data Governance · Privacy, Security & Compliance · Model Risk · Responsible AI

06

AI Integration & Adoption

Make AI part of how your business works.

Embed AI into existing systems and workflows, then monitor performance, support adoption, and continuously improve what you put into production.


AI Integration · AI Deployment · MLOps & LLMOps · Performance Monitoring · Adoption · Continuous Improvement

Distil.ai is a SaaS platform designed to help marketers collect data from all the platforms they use into one central Customer Data Layer then deploy that to multiple tools without the use of the business's engineering team.

As you can imagine if you manage to get this right in your business it saves a huge amount of money at the same time as it increases the effectiveness of all your marketing. But from our point of view, it's a complicated task to wrap this up into a simple UX.

Gerry McNicol, CEO of BIG Data Consulting

Gerry McNicol

CEO, BIG Data ConsultingExeter, United Kingdom

The team went out of their way to really understand our business, our clients’ use cases, and our challenges so as to help us deliver the best possible product.

During the project, we saw how competent the team was in the areas that mattered, such as, User Experience, Prototyping, and Visual Design. The project was on time and ensured our development schedules were respected throughout. The quality of work we’ve received has also been top-notch. Very pleased with the end result.

Raphael Morozov, Chief Technology Officer at Eurofins

Raphael Morozov

Chief Technology OfficerLos Angeles, CA

helped us imagine a custom interface for a healthcare product in a matter of days. I was impressed with the speed of execution, responsiveness iterating based on input over the weekend, and the quality of the UX we got - which was ready to share with my executive partners.

Nate Beyor, Managing Director & Partner at BCG

Nate Beyor

Managing Director & Partner, BCGGlobal Leader – Healthcare

Heartfelt thanks to the team for the outstanding work on the project.Your dedication, creativity, and collaboration were instrumental in making our website launch a success. From planning and design to development, testing, and final delivery, every contribution made a difference. We deeply appreciate the effort, responsiveness, and professionalism demonstrated throughout the process.

Krishna Peesapati, Chief Operating Officer at Covalense

Krishna Peesapati

Chief Operating Officer

the team transformed our concept into a scalable, end-to-end solution with precision, innovation, and a commitment that felt like working with our own in-house team.

With their expertise, we transformed StudioPod into a seamless, professional solution combining convenience and top-notch quality.

Chris Bailey and Joseph West, Co-Founders of Studio Pod

Chris Bailey & Joseph West

Co-Founders

Working with this team has been such a joy. We have an outsourcing relationship that has stood the test of time. One of the biggest positives fo us has been the team’s ability to take an idea from scratch, think through it, and design every step in the interaction model.

Brijesh Patel, Chief Technology Officer at Inquisit Health

Brijesh Patel

Chief Technology Officer

i’ve been incredibly happy with the effort. the team made a significant and important contribution to our product, and we couldn’t have asked for anything more.

Itai Gurari, Founder & CEO of Judicata

Itai Gurari

Founder & CEO

where ai engagements break apart, ours stays connected

the difference is not another methodology. it is keeping the work connected to the business, from the decision to invest through to the outcome delivered.

01

business-led from the start

the business priority sets the direction.

we start with what needs to change, then determine where ai can create meaningful value. technology is a means to the outcome, not the starting point.

02

strategy stays connected to execution

the people shaping the strategy stay close to the work.

instead of handing strategy over to another team, we carry the thinking into data, experience, engineering, and delivery, so decisions evolve with what we learn.

03

enterprise realities shape what gets built

the hard parts are considered before they become blockers.

data, security, integration, governance, architecture, workflows, and operating models are brought into the conversation early, so solutions work within the enterprise, not just in a pilot.

04

experience and adoption are part of the solution

a working technology is not the same as a working business solution.

we design for how people will use, adopt, govern, and operate what gets built, connecting technology to the way the organization actually works.

05

capability grows with the business

the goal is not one successful ai initiative.

we help you build the capability to do more over time, starting with the immediate opportunity and expanding as the business case, confidence, and mandate grow.

Move from AI potential to business value.

Whether you’re deciding where to invest, what to build, or how to scale, we’ll help connect the right strategy, data, technology, and execution.

Let’s talk
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