Service
An AI opportunity assessment answers three questions in order: where is this business losing time, revenue, capacity or visibility; could AI realistically address it; and what should be built first. We run it in two stages — a free Scan, then a paid Roadmap when the Scan finds something worth pursuing.
A short questionnaire and a focused conversation about your largest operational bottlenecks. You leave with one to three identified opportunities, a recommended first project, preliminary feasibility, a preliminary value estimate, and recommended next steps. It identifies potential projects — it is not a free custom build, technical architecture, security audit, or complete implementation plan.
The full assessment: stakeholder interviews, workflow mapping, a current performance baseline, process cost analysis, data-readiness review, software and integration review, risk and privacy considerations, opportunity prioritization, buy-versus-build analysis, proposed architecture, success metrics, estimated implementation cost, and a 90-day action plan. Roadmap fees may be credited toward an approved implementation.
Does the information the workflow needs already exist somewhere reachable, in a usable state? This is the single most common reason a promising idea does not proceed.
Do your existing platforms expose the access needed to read and write what the workflow requires, on the plan tier you are actually on?
Is the process consistent enough to automate, or does it vary by person? An undocumented process must be agreed before it can be built.
Is there a named internal owner, and will the team reviewing the output actually use it? Adoption failures are not technical failures.
Questions
An AI readiness assessment determines whether a business can realistically implement AI in a given workflow, by examining four things: whether the required data exists and is usable, whether existing systems allow the necessary integration, whether the process is consistent enough to automate, and whether there is an internal owner and a team that will adopt it. It is distinct from an AI strategy document, because its output is a go or no-go on specific workflows rather than a general direction.
An opportunity assessment ends with a costed, prioritized shortlist of specific workflows and a plan to build the first one. Strategy consulting typically ends with a direction and a set of recommendations. The practical difference is what happens next: an assessment is written so that implementation can begin from it, including proposed architecture, success metrics and estimated cost.
Yes, and you keep the findings whether or not you engage us further. It is free because it is also how we qualify — roughly speaking, it establishes whether there is a measurable problem and an internal decision-maker committed to solving it. If there is not, we will say so, which saves both parties a longer conversation.
Rough numbers on the workflow that bothers you most: how many people touch it, how often it runs, roughly how long it takes, and which systems are involved. You do not need documentation, a data audit, or an internal AI policy. If you have a sense of what the problem costs you annually, bring it — but not having quantified it is normal and is part of what the Roadmap produces.
Then we tell you, and that is a legitimate outcome. Frequently the honest finding is that a process needs documenting first, that an integration or a configuration change in existing software solves the problem more cheaply, or that the volume does not justify the implementation cost. Recommending the most practical solution rather than the most complicated one includes recommending no AI at all.
Get started
Show us where your business is losing time, revenue, capacity or visibility. We will help determine whether AI can solve it — and what the first practical step should be.
hello@askgeeks.ai · Vancouver, BC · remote across Canada & the US