AI and automation consulting
Find where AI and automation can create real value
Independent advice for organisations that want to use AI and automation well, and be ready to use them.
Trusted by organisations across 7 industries and 35 countries
Our philosophy
AI should solve a business problem, not create another project
Many organisations feel pressure to “do something with AI” but aren’t sure where to start or whether they’re ready.
- Unclear use cases
- Data that isn’t ready or trusted
- Manual, duplicated processes that could be automated
- Pilots that never become part of daily work
- Concerns about risk and responsible use
We help you understand where AI and automation can make a meaningful difference, then turn that into a practical plan.
What we help you solve
From readiness to a roadmap you can act on
We help you find where AI and automation can make a real difference, and what needs to be in place first.
Assess your AI readinessAssess AI readiness
Check whether your data, technology, processes and people are ready. Take the survey
Identify and prioritise use cases
Find where AI can create genuine value, and where it can’t.
Explore automation opportunities
Find manual, duplicated and inefficient processes that can be simplified or automated.
Understand data and technology needs
See what AI and automation require from your systems and data.
Build an AI roadmap
A practical path from experiment to measurable value.
Support responsible adoption
Put ownership and safeguards in place as you scale.
Our approach
AI readiness depends on more than the technology
AI succeeds or stalls on what surrounds it. We don’t start with a tool or a platform. We start with the five areas that decide whether AI and automation deliver, and where your organisation stands in each. Not sure where you stand? Take the 10-minute AI readiness survey.
Starting with the business problem, not the tool
Making sure AI supports your strategy, not the other way around
AI projects stall when nobody can say what problem they solve. We help you connect AI and automation to your business objectives before any tool is chosen.
We help organisations:
- Link AI ambitions to business objectives
- Identify and prioritise use cases by value, feasibility and risk
- Decide where automation is a better answer than AI
- Build a roadmap from experiment to measurable value
The result: a short list of opportunities worth pursuing, with a clear reason for each.
Checking the foundations AI depends on
Making sure your data is ready to be used
AI is only as good as the data behind it. We look at whether your data is accurate, accessible and well managed before anything is built on it.
We help organisations:
- Assess data quality, completeness and access
- Understand where data lives and how it flows
- Identify gaps that would limit AI and automation
- Improve the governance needed to trust the results
The result: clarity on what your data can support today, and what to fix first.
Understanding whether your technology can support it
Making sure your technology can support AI and automation
Legacy platforms and disconnected systems can limit what AI and automation can do. We assess what you have and where it helps or holds you back.
We help organisations:
- Assess existing technology and integration points
- Identify legacy and capability gaps
- Evaluate platforms and solutions independently
- Reduce unnecessary complexity before adding more
The result: a clear view of what you can build on and what needs to change.
Building the skills and confidence to use it
Making sure your people can use AI and automation with confidence
Technology alone doesn’t change how work gets done. We consider the people who will use it, manage it and be affected by it.
We help organisations:
- Assess skills and confidence with AI and automation
- Define roles and ownership
- Plan adoption so new ways of working stick
- Align teams around common objectives
The result: people who are equipped to use AI and automation effectively.
Putting the right safeguards in place
Making sure AI is adopted responsibly
As AI and automation spread, risk, ownership and responsible use matter more. We help you put clear guardrails in place from the start.
We help organisations:
- Set clear ownership and decision-making
- Identify risks and responsible-use considerations
- Define policies and standards for AI use
- Keep people accountable for decisions that matter
The result: a path to scale AI and automation with confidence and control.
Is this right for you?
Who this is for
- Organisations paying for technology they don’t fully use
- Teams with overlapping systems or tools
- Leaders facing renewals who want to know what they really need
- Organisations whose manual or duplicated processes slow teams down
The outcome
What you’ll receive
- A clear view of your digital estate
- Insight into usage, overlap and waste
- Prioritised optimisation opportunities
- A quantified ROI improvement plan
How we work
From idea to impact
We don’t believe in AI for AI’s sake. Our approach starts with your business objectives, then connects the people, processes, systems and data needed to make AI and automation work.
- 01
Assess
We establish how ready you are today. We look at your objectives, data, technology, processes and people to see what AI and automation could build on, and what would hold them back.
- 02
Identify
We identify where AI and automation could make a real difference. This could include manual or duplicated processes, repetitive reporting, data that isn’t ready, or systems that don’t connect.
- 03
Prioritise
Not everything needs AI, and not everything should be automated. We prioritise opportunities by value, feasibility, risk and readiness, so you focus on the few that matter most.
- 04
Roadmap
A practical roadmap of what needs to happen, when and why. Including the data and technology each opportunity needs, it gives your teams a clear route from first idea to working solution.
- 05
Delivery
Where required, we work alongside your teams to turn the roadmap into reality, bringing in the specialist expertise needed to move from pilot to measurable outcomes.
Testimonials
What Our Clients Say
Jamie Dormandy, Director of Operations, Make-A-Wish UK
Jenny Cook, VP Affiliate Development and Support, Make-A-Wish InternationalSuccess stories
How we’ve helped
Make-A-Wish
Helping Make-A-Wish harness data and technology to improve processes and deliver greater impact.
IMTFA
Helping a leading organisation transform supplier reporting with automated data and improved visibility.
ICD
Helping ICD streamline invoice reconciliation through automated workflows and integrated data processing systems.
Wellbeing People
Helping Wellbeing People rebuild its wellness platform with scalable architecture and modern development practices.
FAQs
Frequently asked questions
Straight answers to common questions about AI and automation.
Still have a question? Talk it through with our team, with no obligation.
Book a strategy conversationWhat is AI and automation consulting?
AI and automation consulting helps organisations decide where AI and automation can make a meaningful difference, check whether their data, technology, processes and people are ready, and plan how to adopt them responsibly. It starts with the business problem, not the tool.
How do we know if we’re ready for AI?
A quick way is our 10-minute AI readiness survey. It shows your strengths and where to focus next across data, people, systems and strategy. We can also assess your readiness in more depth.
Where should we start with AI and automation?
Start with a business problem, not a tool. Identify where AI or automation could help, check that your data and processes can support it, and begin with a small number of high-value opportunities. We can help you prioritise them.
What’s the difference between AI and automation?
Automation follows set rules to complete repetitive tasks, such as moving data between systems. AI handles tasks that involve prediction, language or patterns that rules can’t easily cover. Many projects use both.
Can you help us automate manual processes?
Yes. We identify manual, duplicated and inefficient processes and explore where they can be simplified, redesigned or automated. We prioritise by value, feasibility and risk, so you start where it makes the biggest difference.
OMNIADIGITAL podcast
Why data and AI strategy starts with people
In this episode, Lucy Lynch talks to Tiankai Feng, Director of Data & AI Strategy at ThoughtWorks and author of Humanising Data Strategy and Humanising AI Strategy.
They explore why strategy has to start with people, how creativity helps teams collaborate, and why optimism is one of the most underrated tools in the data profession.
Listen to more episodesAI and automation, made practical
Ready to find where AI and automation can help?
Whether you’re exploring AI for the first time or want to automate work that’s holding your teams back, we’ll help you get clear on your readiness, your priorities and where to start.
No obligation. Just a conversation about your goals.
