About
Setting the bar
for Data & AI
TechGuidr is an independent Data & AI consultancy. We help organisations decide what is worth doing, transform how the business works, including its data, systems and products, and operate and improve what they run, with commercial judgement and hands-on engineering in the same team and no vendor commission behind the advice.
Built for tomorrow. Delivering today.
Why we exist
Technology has never been easier to buy. Knowing what is worth doing is harder
Businesses now have more data, more AI and more people trying to sell them an answer. The difficult part is working out which problems are worth solving, what should be bought, built, fixed or left alone, and then making the answer work inside a real business.
TechGuidr sits on the client’s side of that decision, between business judgement and technical reality, and stays there through delivery to the commercial outcome.
We work with mid-sized and larger organisations, research and information businesses, and private equity investors and their portfolio companies, usually through the CEO, CFO, CIO, CTO, chief data officer or head of AI.
Who is behind it
Founded by someone who still builds
Dan Warrener founded TechGuidr after more than 25 years in technology, so that the people who give the advice can also deliver it.
- Started in finance, then software engineering, e-commerce and web development
- Enterprise data warehouses and business intelligence on large, important projects
- Early Azure analytics at Microsoft, on tooling that became Power BI
- Built a data and advanced analytics practice in consulting
- Global Data & AI Lead for Microsoft’s Retail & Consumer Goods Solutions Team, 2022 to 2025
- Technology leadership on enterprise platforms: engine fleets, universities, SaaS
- Still hands-on: conceived, designed and built Answerable and Foreseeable
In Dan’s words
“I’ve deliberately kept close to the tech, to be the unicorn type that can hold his own in the boardroom but then get hands on and actually build what I talk about.”
Read Dan’s story in full
“I started in finance then moved into software from there progressing into enterprise data, building warehouses and business intelligence, usually for large and not only exciting but important projects. I spent years at Microsoft in the early days of Azure, centralising analytics for games studios on tooling that later became Power BI. From 2022 to 2025 I was Global Data & AI Lead for Microsoft’s Retail & Consumer Goods Solutions Team. I’ve spent most of my career in the consulting world from building a data and advanced analytics practice to leading technology in businesses where a fleet of aircraft engines, a university sent home overnight and a fragmented enterprise platform each needed a system that worked at a scale very few work across. I’ve also worked with digital natives and startups. My ethos has always been leave a place better than when I found it. I’ve deliberately kept close to the tech, to be the unicorn type that can hold his own in the boardroom but then get hands on and actually build what I talk about.
I founded TechGuidr because I could see what was happening in the market, the need for a shift in the approach for helping businesses and important for me to build the business I would love to work for. I still do the architecture and the engineering, I conceived, designed and built Answerable and Foreseeable from scratch.”
The people
Founder-led, with specialists where the work needs them
We keep the core team senior on purpose and assemble the right capability around each problem rather than pushing work through layers of junior consultants.
Dan Warrener
Founder & CEO
Started in finance, then more than 25 years in technology, from software engineering, e-commerce and web development to enterprise data and leadership, including Global Data & AI Lead for Microsoft’s Retail & Consumer Goods Solutions Team from 2022 to 2025. Still hands-on.
- Data & AI
- Strategy
- Architecture
- Product
- Transformation
- Complex delivery
Peter Storer
Associate, Product, Experience & Adoption
Brings a plain-speaking, vendor-neutral view from his own technology advisory work with small and medium-sized businesses. At TechGuidr he leads on product, customer and user experience, change and adoption, so what gets built is what people take up.
- Product
- Customer and user experience
- Change
- Adoption
- Work redesign
Clare Warrener
People & Operations Lead
Leads the people, culture and day-to-day operations behind TechGuidr, helping make sure the business and the team around client delivery run properly.
- People
- Culture
- Operations
Around that core, named specialists join each engagement where the work needs them, agreed before work starts. We work alongside clients’ own teams, and with investors and consulting partners who need someone senior behind an important engagement.
What others say
What people who have worked with Dan say
“Dan can cut through the noise, find the root cause, and clearly formulate solutions.”
“That rare ability to lead by inspiration, and in doing so, lead his teams to exceptional results.”
“Dan's insight shifted how we approach AI adoption. Clear, strategic, and grounded in human behaviour.”
What you can hold us to
The GUIDR principles
How everyone at TechGuidr thinks and acts, and what clients, partners and anyone who joins us can hold us to.
Grounded in reality
Start with what is true, not what the technology promises. Baseline what matters, measure what changed, and if the number did not move, say so.
Useful over impressive
Working outcomes over theatre and jargon. Knowledge, access and documentation stay with the client, never engineered into dependency.
Independent in judgement
The answer can be buy, build, use what you have, fix it or stop. No vendor commission changes it, and any interest in our own products is disclosed.
Do the work
Senior people stay close to the architecture, engineering and delivery, so they understand the consequences of the advice.
Responsible by default
Scope, price and exclusions are agreed first, and if we underestimate a fixed scope the client does not fund our mistake. We use AI to work faster, and a named person stands behind every important output.