Know Where AI Fits Before You Build
We look at how your business actually runs, find where AI would save real time or money, and rank the options by impact, effort and risk. For each one you get an honest answer: build it, buy something that already exists, or leave it alone.
Overview
We begin with your processes and your numbers, not with a list of tools, so the ideas come from where time is really being lost.
Every opportunity is scored on impact, effort, risk and data readiness, so you can see what to do first and what can wait.
For each idea we say whether to build it, buy it or skip it, with the reasoning written down so you can challenge it.
The report and roadmap belong to you. You can act on them with us, with another team, or in-house.
Most businesses are not short of AI ideas. They are short of a way to tell the good ones from the expensive ones. A tool gets bought, a pilot gets started, and six months later nobody can say what it saved.
The first decision is the cheapest one to get right.
We look at how your business actually runs, find the places where AI would save real time or money, and rank them by impact, effort and risk. For each one you get a plain verdict: build it, buy something that already exists, or leave it alone. We do not sell you the build to justify the audit, and sometimes the honest answer is that you do not need AI yet.
We begin with your processes and your numbers, not with a list of tools, so the ideas come from where time is really being lost.
Every opportunity is scored on impact, effort, risk and data readiness, so you can see what to do first and what can wait.
For each idea we say whether to build it, buy it or skip it, with the reasoning written down so you can challenge it.
The report and roadmap belong to you. You can act on them with us, with another team, or in-house.
AI Consulting & Strategy
Start with an audit of one team or the whole business. Either way you finish with a decision you can act on.
We review your processes, tools and data to see where AI could help and what stands in the way, from messy records to systems that cannot be connected.
A ranked list of where AI would pay off, each scored on impact, effort, risk and data readiness, so the first project is chosen on evidence.
For each opportunity, a clear recommendation on whether to build something custom, adopt an existing product, or leave the process as it is.
A sequenced plan with rough costs, expected savings and the order to do things in, written so you can take it to whoever approves the budget.
What data the tools would see, where a wrong answer would hurt, who signs off, and which rules or customer promises limit what you can automate.
How We Rank
An idea that sounds good can still be a poor first project. These four questions are how we tell the two apart.
What we look at
We put a number on the hours, errors or lost revenue involved today, using your own figures wherever you have them.
The question it answers
Is the prize big enough to matter?
What we look at
We estimate what it takes to build and run, including the connections to your existing systems and the people who must change how they work.
The question it answers
Can this be live in weeks or only in quarters?
What we look at
We ask what a wrong output costs, who would see it, and whether a person can catch it before it matters.
The question it answers
What must stay in human hands?
What we look at
We look at the records the tool would depend on: whether they exist, are accurate, and can be reached.
The question it answers
Does the groundwork need doing first?
Scores are shown with the reasoning behind them, so you can disagree with one and see how the ranking changes.
The Verdict
Every opportunity ends in one of three answers. The third is the one most consultants avoid giving, and the one that saves you the most.
When it is specific to how you work
When a good product already exists
When AI is the wrong tool
How We Work
A typical engagement runs in six steps. You can stop after any of them with something useful in hand.
We learn what your business does, where it hurts, and what you have already tried, and agree which teams or processes are in scope.
We talk to the people doing the work and look at the tools and records they use, because the real process is rarely the documented one.
Each idea is rated on impact, effort, risk and data readiness, and the list is ranked with the reasoning shown.
For the top idea, we try the part most likely to fail, such as running a model on a sample of your real documents, before anyone commits budget.
You get a written report with the verdicts, the sequence, rough costs and expected savings, and we walk your team through it.
You choose whether to build with us, hand the plan to another team, or park it. There is no obligation to continue.
Our advice is not tied to one vendor or tool, but these are the platforms we build on and can assess from experience.
Why us?
If a process is not worth automating, or a product you can buy does it better, we will say so, even when it means no build for us.
Our estimates come from shipping these systems, so the effort and cost figures reflect what the work really takes.
Every recommendation comes with its reasoning, so you can explain it to your team, your board or another vendor.
Keep Going
Most teams start with one of these and add the next once it is running.
Internal tools and copilots built around how your team actually works.
View DetailsVoice agents that answer every call, book appointments and route the caller.
View DetailsModel APIs wired into your own product, with evaluation and cost control.
View DetailsChatbots, automation and custom AI tools — the full list of what we build.
Browse ServicesTell us how your team spends its week. We'll tell you where AI would help, where it would not, and what to do first.