AI Transformation
Skip the hype. We find where AI genuinely changes your economics, prove it on your own data, then build it into the way you work.
Overview
Most AI initiatives stall somewhere between the demo and the day-to-day. We start from the other end: the decisions, workflows and customer moments where AI can make a measurable difference, in any sector. We prove the strongest idea with a working prototype on your own data before anyone signs off a big budget, then build it into your systems so it gets used every day, not admired once in a pilot.
How we work
From first conversation to measurable results
- 01
Map the decisions and workflows where AI can make a measurable difference, and the ones where it can't
- 02
Take an honest look at your data, systems and risks before committing to a direction
- 03
Prototype the strongest use case on your own data in weeks, not quarters
- 04
Build it properly: secure, observable and integrated with the tools your people already use
- 05
Redesign the workflow around the new capability and train the people who will use it
- 06
Measure the impact in production and keep improving as your data grows
The difference
Why Unitary Tech
- 01
Strategists and engineers in one team, so every AI plan is one we know how to build
- 02
Prototype first: you see AI working on your data before you commit serious budget
- 03
Model-agnostic by design, so you are never locked into one vendor's roadmap
- 04
Responsible by default, with privacy, bias checks and human oversight built in from day one
- 05
No sector boundaries: we bring what works in one industry to problems in another
Strategy & Innovation
Related services
Digital Strategy and Transformation
A bold plan, and the change to deliver it.
Technology Consulting
Make the right technology bets.
GTM Strategy and Planning
Launch with a plan, not a prayer.
Insights
Ideas worth reading
Building for the businesses software forgot
Family workshops, independent restaurants and traditional trades are one of the largest underserved markets in technology. Seven lessons from building our own products for them.
Legacy modernization without the big bang
Big-bang rewrites fail for predictable reasons. Replace the systems you depend on one capability at a time, with value delivered along the way.
Sustainable tech: balancing growth and green
Wasted computing power is wasted money. Five levers that cut cost and carbon together, and where the genuine trade-offs begin.
Frequently Asked Questions
Something else on your mind? Ask us directly.
Where should we start with AI?
With a problem, not a model. A short discovery finds the two or three use cases with the clearest value and the fewest blockers, and we prototype the strongest one so you can judge it on evidence rather than promises.
Do we need a lot of data?
Not always. Modern foundation models can do a great deal with the data you already have, and we will tell you honestly when a use case needs more. Checking data readiness is part of every discovery.
How do you keep our data safe?
Your data stays under your control. We decide with you where models run, what they can see and how their outputs are reviewed, and we document it so your compliance team can sign off with confidence.
How soon will we see results?
A working prototype usually arrives within weeks of starting. Timelines for production depend on scope and integration, and we agree them with you once the prototype has proven its value.