Usefulness and quality
Correct answers, completed tasks, source accuracy, exceptions, and human review effort.
How we work
Get to useful AI. Get there quickly.
Rapid scoping. Fast delivery. Early ROI.
Choose a meaningful result, build the smallest useful release, and measure its contribution before the next investment.
We scope for early value: better service, more team capacity, or a new source of growth.
The first conversation
Bring an opportunity. Leave with a clearer starting point.
Tell us the outcome, who would use it, the work as it happens today, and the systems involved. We identify a practical first scope and the information needed to price it.
A short description is enough to begin. Detailed discovery or complex platform work can be a separate engagement when the dependencies require it.
A focused first engagement
30-day AI Sprint
One business outcome. A defined scope and fee. Working software and evidence for the next decision.
- Days 1–5
Scope the return.
Choose the workflow, establish its baseline, confirm access, and agree the acceptance criteria.
You get: a build scope and value hypothesis. - Days 6–15
Put the idea to work.
Build the first working slice. Review it against representative tasks and refine it with your team.
You get: working software to evaluate. - Days 16–25
Make it useful.
Connect the agreed inputs and workflow. Test quality, exceptions, review effort, and readiness.
You get: a bounded release and evaluation. - Days 26–30
Measure. Decide.
Compare results with the baseline. Agree what to improve, expand, or stop.
You get: a results brief and next-step plan.
A typical plan for a qualified, bounded scope after agreement and required access are in place. The proposal specifies the fee, schedule, acceptance criteria, and whether the release is a prototype or a live pilot.
Find your starting pointEvaluate the first result
Measure the contribution. Include the cost.
Compare against the current workflow using representative work and the people who will use the release.
Business contribution
Service quality, released capacity, conversion, or additional gross profit—against an agreed baseline.
Operating readiness
Access, reliability, cost per task, support, and clear ownership of decisions and actions.
What could an early return look like?Explore the payback estimate
Start with the economics of one workflow. These editable assumptions are illustrative, not a price quote or a forecast.
Freed time is capacity; cash savings require an actual reduction in spending. Use 0% cash realization when a labor change affects capacity only. Enter additional gross profit after its delivery costs, and exclude any benefit already counted as labor savings. Payback assumes steady monthly benefit after launch and excludes taxes, financing, and ramp-up.
After the Sprint
Expand what earns its place.
Continue into a larger build, connect more systems, modernize in stages, or arrange ongoing engineering and support. If the first scope does not show enough value, use the evidence to change direction.
Commercial terms, ownership, access, deliverables, and support are specified in the engagement. A first release is not a promise to complete an entire platform in 30 days.
Before we begin
A clear start.
A practical path forward.
What does the first conversation cover?
The opportunity, who would use the result, your current workflow, available information, and what a useful first win would look like. We identify the key scoping questions and agree the next step.
What does a Sprint cost?
We quote a defined fee once the first scope is clear. The proposal specifies deliverables, acceptance criteria, timing, dependencies, and any ongoing costs. The estimator above is an illustrative business-case tool, not a NetStartups price list.
What do you need from our team?
A business owner, representative tasks or examples, timely feedback, and access to the agreed systems. We can begin with synthetic or public information while authorized access is arranged.
Can you work with our existing systems?
Yes. We can design integrations and extensions around authorized data and interfaces. We confirm access, technical constraints, and vendor dependencies during scoping.
Who owns the work and controls the data?
Delivery can be structured around client-owned or client-controlled repositories, infrastructure, data, and deliverables. Ownership, third-party licenses, model access, retention, and transition rights are defined in the agreement.
How do you decide whether the AI is effective?
We compare the result with representative tasks and the agreed baseline. Evaluation includes source correctness, completeness, review effort, exceptions, adoption, and business contribution. People retain authority over consequential decisions.
What happens after the Sprint?
We review the evidence together and decide whether to expand, refine, or stop. Production approval and continuing support are separately defined. A prototype does not automatically become a live production service.
Your next move
Let’s make the first result concrete.
Tell us what should change, who it helps, and how you will know it works.