Expertise
We map your workflows, audit your stack, and hand you a plan.
Workflow mapping, technology audits, tool selection, AI strategy, and build-vs-buy analysis. Hire us for the plan alone, or as the first phase of a build we then deliver.
The premise
Why we start with the brief.
AI has made building faster. It has also made research, drafting, scoping, and planning faster.
A vague brief now produces a vague result faster and at a larger scale. The brief, the prompt, and the specification decide more of the outcome than they used to. Our work is to find the full story behind the request, identify the decisions that shape the build, and write the specification a team can build from.
Our approach
Three steps from request to written plan.
- 01Step 1
Discover
We go through the request, the operations behind it, and the systems involved, until we have the full picture.
- 02Step 2
Decide
We lay out the decisions that matter, weigh the tradeoffs, and recommend a direction on tools, architecture, sequence, and scope.
- 03Step 3
Document
We write the plan a team can build from: a specification, a roadmap, or an architecture diagram, depending on the work, written precisely enough that nothing is lost between the plan and the build.
What we deliver
The five things we deliver.
- Workflow mapping and designWe map how work moves through your business: who hands off to whom, where decisions stall, what data follows the work and what gets lost on the way. We do this before tool selection, automation, or implementation, so the tool is chosen to fit a workflow that already works.
- Technology auditsA review of what you are running, what it costs, and what it does for the business: platforms, integrations, custom builds, and the gaps between them. You get a written report of what works, what does not, and what is worth fixing first.
- Tool evaluation and selectionWe assess what you need, compare the current options against it, and recommend the one that fits. We are not tied to a platform, and when nothing on the market fits we say so and scope the custom build instead.
- AI strategyA plan for where AI fits in your operations: which use cases to pursue, in what order, on what data foundation, and what your team needs before it starts. It covers model choice, data readiness, evaluation criteria, and governance, so those are settled before any AI work is approved.
- Build vs. buy analysisWhether to license a platform, extend one you already have, or build custom. We run the comparison on cost, fit, and maintenance, and we say when the answer is to license and not build. We have the engineering team to deliver either path.
Next step
Book a discovery call.
Tell us the request and what is behind it. You leave the call knowing what a plan would cover and whether it is a standalone project or the first phase of a build.
30 minutes. No commitment.