Services
Opportunity assessment & roadmapping
Where AI pays back, ranked and sequenced. This is AiRE's front door: a structured assessment of where AI earns its keep across your organisation, from the front line to the back office, turned into a costed, sequenced roadmap. We start from the work your teams actually do, size the return honestly, and leave you with a plan you can fund and act on, not a slide of possibilities.
The process we optimise
The process we optimise: how you decide where to invest in AI
The business process here is capital allocation for AI, the decision your leadership makes about where money, engineering time and attention go. That decision exists to produce return, not activity: it should send scarce resource to the handful of use cases that pay back soonest and carry the least delivery risk. Most organisations run this decision on opinion, vendor enthusiasm and whoever argued loudest in the last meeting, which is why pilots multiply and payback stays vague. Opportunity assessment and roadmapping optimises the decision itself. We start from what your teams actually do, size the return honestly, and hand back a costed, sequenced plan you can fund. This is AiRE's front door, and it is deliberately a two-to-four-week piece of work, not a standing engagement.
Before and after
What changes when the system is rebuilt
Before: prioritisation by opinion
- Scattered pilots running in parallel with no shared scoring, each sponsored by a different team.
- Prioritisation led by opinion and vendor pitches rather than value and feasibility.
- Proofs of concept that demonstrated something once and then stalled with no route to production.
- No honest number on payback, so the board cannot tell a real opportunity from an expensive experiment.
After: a costed plan you can fund
- One opportunity map across your functions, from the front line to the back office.
- A ranked backlog scored the same way for every use case, on value and on feasibility.
- A sequenced roadmap with costs attached, so the first move is fundable, not aspirational.
- An executive briefing that says where to start and why, in terms your finance function accepts.
How we think about it
We start from the objective, then work outwards
The same discipline runs through every engagement: understand what the process is for, then design the system to serve it and measure against it.
Start from what the investment decision has to achieve
We begin with the objective of the allocation decision itself: to direct scarce resource to the AI work with the highest risk-adjusted return for your organisation. We agree what return means for you in this cycle, whether that is cost taken out, capacity released, revenue protected or risk reduced, and we agree the constraints the plan must respect. Everything downstream is scored against that objective rather than against novelty.
Map the current work honestly through interviews and a process inventory
We interview leaders and the people doing the work, then inventory the processes each function actually runs. We are looking for where time, error and delay genuinely accumulate, not where AI sounds impressive. This is the honest read: some celebrated ideas turn out to be small, and some unglamorous back-office steps turn out to be where the money is.
Score and sequence around the work, not around a tool
Each candidate is scored on value and on feasibility, then sequenced so early moves build the data, access and confidence that later moves depend on. We design the roadmap around your workflows and your readiness rather than fitting your organisation to a platform someone already chose. Sequencing is where most of the value sits: the same backlog in the wrong order stalls.
Measure the plan against the objective before you fund it
We cost the roadmap and test it back against the original objective: does the first tranche of spend produce the return we agreed to chase, and can you tell within one cycle whether it worked. You leave with a plan that carries its own success measures, so funding it is a decision with evidence behind it rather than a leap.
An engagement, step by step
A representative engagement, drawn from how we structure this work:
- Week 1
Leadership interviews and process inventory
We interview your leadership and a spread of the people who run the work, and inventory the processes across the functions in scope. By the end of the week we have a shared, honest picture of where effort and error actually sit and what return this cycle is meant to deliver.
- Weeks 1 to 2
Opportunity scoring against value and feasibility
Every candidate use case is scored the same way, on the value it would release and the feasibility of delivering it against your real data and constraints. Opinion and vendor preference are set aside in favour of a consistent frame, which usually reorders the list people walked in with.
- Weeks 2 to 3
Costed sequencing
We turn the ranked backlog into a sequence, costing each move and ordering it so early wins build the data and confidence the harder moves need. The output is a roadmap you can put a budget line against, not a wish list.
- Weeks 3 to 4
Executive briefing and handover
We brief your executive team on where to start and why, walk through the costs and the success measures, and hand over the map, the scored backlog and the roadmap. You leave able to fund the first move and to judge, within a cycle, whether it paid back.
The deliverable is a decision you can act on, not a deck of possibilities: a costed, sequenced plan with the reasoning attached, ready to fund.
What you get
- Opportunity map across your functions
- Prioritised use-case backlog, ranked by value and feasibility
- Costed roadmap with clear sequencing
- Executive briefing on where to start and why
How it typically runs
Typical engagement: 2 to 4 weeks, 1 to 2 consultants, fixed price.
Diagnose
Weeks 1 to 2
Prioritise
Weeks 2 to 3
Roadmap
Weeks 3 to 4
Brief and hand over
Week 4
Indicative timeline. Every project is scoped individually: book a discovery call and we will provide a detailed proposal within 48 hours.
Where it fits
This practice is delivered through one of the two QuantSpark engines.
Proof
Opportunity assessment & roadmapping in the field
We are still tagging the library by practice. In the meantime, the full body of documented work is one click away.
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