Find out which processes are worth improving with AI
Know what one of your processes costs today, what AI could realistically change, and what the new way of working would cost to deliver and run. Then decide whether the value justifies the investment.
- Free for your first process
- One process at a time
- Deep assessment: 2 days
A 120-person law firm. Six people do the first-pass review of 2,400 commercial contracts a year.
Behind the numbers: the time of 2.5 people freed up, outside counsel cut from £40k to £15k a year, and £35k a year of new AI running cost.
VerdictWorth a pilot on one contract type, with a lawyer checking every output.
A 90-person property manager looking after 3,000 homes. Eight coordinators handle 9,000 maintenance requests a year.
Behind the numbers: the time of two coordinators freed up, out-of-hours call handling cut from £36k to £20k a year, and £42k a year of new AI running cost.
VerdictA long payback. Fix how requests come in first, then pilot AI triage on one portfolio.
A 250-person manufacturer. Five inspectors check 1.2 million parts a year on one production line.
Behind the numbers: the time of two inspectors freed up, and £38k a year of new running cost for the cameras and the AI model.
VerdictDo not fund the whole line on these numbers. Test a narrower scope first, or wait until volumes rise.
Illustrative examples with made-up figures, not client results. Savings count only the time that is redeployed or not replaced.
Book a demo for your processProcess economics: what does it cost today, and what could AI change?
A lower technology price or a faster task does not settle the investment case. We compare the whole process today with a realistic future way of working, then account for the cost of getting there. These are the four figures in each example above.
- 01 · BaselineWhat does the process cost today? Internal labour, technology, infrastructure, suppliers, contractors, oversight and controls, from where the process starts to where it ends.Your view: current annual process cost.
- 02 · Future modelWhat would it cost to run with AI? The changed activities alongside the people you keep, your existing technology, the cost of running AI, human oversight and assurance.Your view: annual running cost with AI.
- 03 · Cost of changeWhat must you invest to get there? The one-off investment and the practical dependencies needed to move from today’s process to the new one.Your view: upfront investment and conditions.
- 04 · Economic caseWould the benefits justify the cost? Potential cash impact, costs you will not have to add later and time freed up, each shown separately. In the Deep assessment, payback and best, expected and worst cases too.Your view: potential value over time.
Total cost of ownership, in plain terms: what it costs to keep the whole process working, not just what the AI technology costs. Annual running costs and one-off investment are kept separate in the case.
For leaders asking: where can AI help us?
You have a process that costs too much, takes too long or creates avoidable work. You need to know whether AI could improve it enough to justify the change.
- Where should we start?Process owners and operationsUnderstand where effort, handovers and rework create cost, and what a better process could look like.
- Will the value add up?Finance leadersSee the full cost of change, and tell apart potential cash savings, costs you avoid and time freed up.
- What would it take?Technology leadersSurface the data, system and control dependencies, including the work and judgement people keep.
- What should we commit to?Business leadersBring the operational, financial and technology views together around a reasoned next move.
- Start with a named process and a decision to makeYou can be exploring an opportunity or preparing a case for investment. Either way, the Light assessment is free for your first process.Book a demo for your process
Your process. Its costs. A clear plan for AI.
We start with the problem and the work behind it. The person who runs your process describes how the work really runs today; InfraTech examines the cost drivers, challenges the assumptions and shapes a practical future way of working.
We use Purple’s DeltaLite workbench to organise process information, compare economic scenarios and support owner review. Think of it as an economic rehearsal before a pilot: modelling the case does not prove technical performance or achieved savings.
Click a panel to see what happens at each step.
- 01
Understand how work gets done
Agree where the process starts and ends, and the goal. Surface the activities, costs and friction that matter to the decision. - 02
See where AI could help
Consider what to simplify, what AI could assist and what to redesign, and where people keep judgement and control. - 03
Weigh the benefits against the costs
Look at future costs and how much your team would really use the change. Cash impact, costs avoided and time freed up are shown separately. - 04
Choose what to do next
Review the findings and the open assumptions. Choose the evidence and the commitment you need to move forward.
Built around your buying decision. The output is only useful if it helps you decide, so each assessment ties what we learn about the process to a practical next step, with the reasoning and the uncertainties visible.
See the potential. Spend with confidence.
Move from a broad productivity ambition to a clear view of the potential business value, the costs and what has to be true for it to work.
- Find where time and money go. See where effort and cost come from, including avoidable handovers and rework. Decide what to simplify or redesign before deciding where AI fits.A more focused opportunity to investigate.
- See what saved time is really worth. Separate potential cash impact, future costs avoided and time freed up, and see how each could turn into business value.Figures your finance team can test.
- Get the numbers behind the decision. See today’s process cost, the investment, the future running cost and the potential payback, plus the assumptions that could strengthen or weaken the case.A firmer basis for the next investment decision.
Exploring AI or ready to invest? Choose your starting point.
Start with a first estimate, or build a fuller economic case. Each assessment covers one process and ends with a decision you own.
Light AI Process Assessment
For teams asking: “Is this process worth exploring for AI?” A first, indicative view before you commission anything deeper.
Free for your first process
- Frame the opportunity. Agree where the process starts and ends, who owns it and the business goal.
- Understand today’s costs. Discuss volumes, effort, supplier and technology spend.
- Explore the potential change. Consider where AI could help, the work people keep and the future costs.
- Make the next step clear. Review a first estimate of the economics, the key assumptions and what still needs checking.
What you gain: a first estimate of what the process costs today, a comparison with what it could cost with AI, and the key assumptions to check next.
Your decision: go Deep, refine the process scope or pause.
Deep AI Process Assessment
For teams asking: “Does this opportunity justify investment?” A standalone assessment of one identified process and how it could run with AI.
2 days, one process
- Establish the baseline. Map the activities, friction, dependencies and the full process cost: people, systems and suppliers.
- Shape a practical future model. Identify AI use cases, the work people keep and the controls.
- Test the economics. Test realistic take-up, investment and running costs across conservative, expected and ambitious scenarios.
- Review the case together. Challenge the assumptions with the process owner and the people who need to agree.
What you gain: a case checked and agreed with the person who runs the process: current and future costs, investment, potential cash impact, payback, scenarios, risks and assumptions.
Your decision: move to a scoped pilot, revise the approach or hold off on investment.
A decision before a delivery commitment. Start Light to explore. Agree a Deep scope when you need a fuller case. No implementation commitment is required, and if the case stacks up, InfraTech can design, build and run the solution.
Your questions, answered.
What is AI process advisory?
It is InfraTech’s structured assessment of whether changing a business process with AI makes economic sense. We compare the process today with how it could run with AI, making costs, potential value, assumptions and practical dependencies visible so you can decide what to do next.
How is this different from estimating hours saved?
Hours saved describe a possible productivity change. Process economics asks what the whole process costs before and after that change, including the work people keep, AI running costs, oversight and the investment. It also asks how freed time would become useful business value: time freed up is not automatically a cash saving.
Should we choose Light or Deep?
Choose Light if you want a first view of whether a process is worth investigating further. It is free for your first process. Choose Deep when you have an identified process and need a fuller economic case to support an investment decision. We can help you choose during the demo.
What will we receive from the Deep AI Process Assessment?
A case checked and agreed with the person who runs the process. It covers current process costs, the proposed AI-enabled workflow and the responsibilities people keep, investment and running costs, potential payback and scenarios, plus risks, dependencies and a record of the assumptions. Together, we review whether to scope a pilot, refine the approach or pause. The case uses information supplied by your team, so estimates and evidence gaps stay visible. We do not observe your systems directly, and the review is not an audit or a guarantee of savings.
What should our team bring?
A named process, its owner and the business outcome you want to improve. Share what you have on volumes, effort, people, supplier and technology costs, plus known friction and controls. We identify missing inputs with you and agree the scope before the Deep assessment.
Do we need to commit to a wider transformation programme?
No. The advisory starts with one process, and the Deep assessment is standalone. Its purpose is to help you decide whether to progress, revise the approach or hold off on investment.
What role does the Purple platform play?
InfraTech leads the advisory engagement. We use Purple’s DeltaLite workbench to structure process information, explore future operating models, model economics and support the process owner’s review.
Does the assessment guarantee savings?
No. The economic case depends on your inputs, future costs and the changes your organisation can realistically adopt. Time freed up, future costs avoided and cash impact are treated separately, so the decision is clear about potential value and uncertainty.
Can InfraTech build what the assessment recommends?
Yes. If the case stacks up, InfraTech can design, build and run the solution through its Digital engineering, AI governance and AI Operations as a Service teams. That is your choice: the assessment does not commit you to it.
Could AI improve the way you work? Let's find out.
Book a demo for your process. Tell us which outcome your process delivers and what decision you need to make. We will show you how InfraTech works out the economics, and agree whether Light or Deep is the right place to start.
- Bring a process name, its owner and the business outcome you want to improve.
- Discuss what it costs today, what might change and what you need to know.
- Agree whether to start Light or scope a Deep assessment.
Start with the advisory
Book a demo for your process. The Light assessment is free for your first process, and you decide what happens next.Book a demo for your processGo straight to Digital engineering
Not looking for process economics? If you already know what you want to build, jump straight into our agentic AI engineering solutions.Explore Digital engineering
Prefer to speak? Call 020 3866 1180.
