Which AI Engagement Do You Need? A Decision Guide

Last updated: October 2026. External figures are attributed and dated in the text. This guide uses none; prices and durations are as listed on the engagements page.

In short: Start at the rung that matches where you are. NewGenApps publishes six AI engagements, and three questions place you on them: is anything already built, can you state one use case in a sentence, and do you want a result or a standing team? No clear use case points to AI in a Day (from $2,500) or AI Compass (from $5,000). One use case points to POC in 3 Weeks (from $15,000). A stalled pilot points to AI Rescue (from $25,000), a validated use case to AI Production Build (from $40,000), and continuing work to Your AI Team (from $10,000 per month). The first step, a 30-minute call, is free.

Where should a company start with AI?

Start at the stage you have actually reached, not the one that sounds most ambitious. Each engagement produces one specific output: a ranked shortlist, a costed roadmap, a verdict on one use case, a recovered or retired pilot, a running system, or a standing team. Each output is the input to the next, so the useful question is which you already hold and which you are missing.

Two mistakes follow from not asking that question: paying for an output you already hold, and funding a rung before its input exists, such as a production build with no written definition of what "working" means on your data. This is our judgement, not a measured result. Skipping rungs is legitimate when you hold the input: the published fit for the AI Production Build is a team whose use case is already validated (engagements page). If you are unsure what you hold, the free 30-minute call is the cheapest way to find out.

What types of AI consulting engagement are there?

Six, grouped by purpose. Two help you decide: AI in a Day, and AI Compass, the opportunity audit. One proves a single use case: POC in 3 Weeks. One recovers stalled work: AI Rescue. One puts a validated use case into production: AI Production Build. The sixth, Your AI Team, is a standing capability rather than a project. Five are scoped stages; the sixth is month to month after an initial term of typically three months. Price drivers are in how much AI consulting costs.

Decision table: situation, engagement and starting price

Your situation	Engagement	What you get	Starting price
Unsure where AI would pay off	Free 30-minute call (book)	A view of where AI pays off and where it does not	Free
Several ideas compete, or a board wants a plan	AI in a Day	Ranked shortlist (value, effort, risk); a "where to start" page; a "not yet / not this" list	from $2,500 per one-day session
A sponsor needs a costed roadmap before funding	AI Compass	Costed roadmap; red, amber or green data-readiness scorecard; recommended first proof; executive readout	from $5,000, credited toward a subsequent build; typically 2 to 6 weeks
One defined use case, and a go or no-go needed on your data	POC in 3 Weeks	Working proof on real data; independent evaluation against a bar agreed in Week 1; build, refine or do-not-build call	from $15,000; 3 weeks
A pilot that demoed well and then stalled	AI Rescue	First-week triage ending in a recover, re-scope or retire verdict; remediation and handover if recoverable	from $25,000, credited toward a subsequent production build; about 90 days
A validated use case that must run in production	AI Production Build	Production build in your stack; outcome monitoring; independently verified deployment; runbooks	from $40,000, phased
Continuing need for senior AI capability, without hiring a team	Your AI Team	Small senior pod; rolling backlog; monthly strategic review; no-lock-in exit at no extra charge	from $10,000 per month for the smallest pod

Source: NewGenApps engagements page. Prices are in US dollars and are starting points.

How do three questions place you on the ladder?

Answer them in order. The first two place you on a rung; the third decides whether a standing team follows it.

Is something already built? If a pilot demoed well and then stalled, start with AI Rescue, whose first week ends in a recover, re-scope or retire verdict. If a validated use case now has to run in production, start with the AI Production Build. If nothing is built, go to question 2.
Can you state one use case in a sentence, with a named owner, a decision it would change and data you can reach? If so, the open question is whether it works on your data at a cost and speed you can accept: that is the POC in 3 Weeks. If not, choose by who must be convinced. AI in a Day gives a ranked starting point in one working day; AI Compass gives a sponsor a costed roadmap and a data-readiness verdict to fund against. If you cannot name any use case, start with the free call.
Do you want a result or a standing capability? If the need is one outcome, the rung from question 1 or 2 is your answer. If the work will keep coming, and you do not want to hire and manage a team, Your AI Team can follow any of them as a continuing capability (see what an AI retainer includes and build versus buy for an AI team).

These questions are a heuristic built from the published fit of each engagement, not a scored instrument; a real situation can sit between two rungs. Deeper guides: how to prioritize AI use cases, what an AI proof of concept should prove, how to rescue a failing AI project and the 5-signal pilot diagnosis.

How do the six engagements fit together?

As a ladder in which each rung's output feeds the next. AI in a Day produces a ranked shortlist and a first move. AI Compass turns it into a costed roadmap with a recommended first proof. The POC in 3 Weeks tests that proof on your real data and ends in a build, refine or do-not-build recommendation. The AI Production Build (see what it includes) runs the validated case in production, and Your AI Team operates and extends it. AI Rescue enters mid-ladder, for work that already exists.

You can stop at any rung. The POC counts a reasoned "do not build" as a successful outcome, AI in a Day lists what to defer, and AI Rescue keeps a real off-ramp after week one (engagements page). The AI Compass and AI Rescue fees are credited toward a subsequent build, on the terms in the engagement letter.

What if your situation fits two rungs?

Four checks settle most close calls: a budget to approve, a named use case, a written bar already cleared on real data, and a stalled pilot. The table pairs each with the rungs it separates. Regulated work cuts across all of them: if the output will feed a regulated decision, say so in the first conversation, because access controls, audit evidence and review steps add work wherever it does (NewGenApps, how much AI consulting costs, September 2026).

Close calls and tie-breakers

If you hesitate between	The tie-breaker
AI in a Day and AI Compass	Must someone approve a budget on the output? If so, take the costed roadmap.
AI Compass and POC in 3 Weeks	Can you already name the use case? A compass chooses between candidates; a proof tests one.
POC in 3 Weeks and AI Production Build	Has the use case cleared a bar agreed in writing, on real data? If not, prove first. A passing proof means worth building, not ready to run.
POC in 3 Weeks and AI Rescue	Is there an existing pilot that stalled? Rescue starts from what exists; a proof starts from a question.
AI Production Build and Your AI Team	Is it one scoped system, or continuing demand? A build is phased and milestone-gated; a team is month to month.

When should you not hire an AI consultant at all?

When the problem is not yet a decision someone owns, when ordinary software would solve it, or when the data it needs does not exist. Four cases, in our judgement:

No one owns the decision. If no named person can say what would change if the AI worked, and agree what "working" means, a proof has nothing to be graded against. The POC's pass bar is agreed with you in Week 1, so someone must be able to agree it.
A fixed rule would do. If the right answer is a rule over structured inputs that rarely changes, ordinary software is usually cheaper to build, run and audit than a model. AI earns its place where inputs are unstructured or the rules cannot be written down.
The data does not exist, or you cannot reach it. If you already know the data is not captured or is blocked, the first spend belongs in the data. AI Compass rates data readiness per system, but do not buy a rating for an answer you have.
A product you can buy already does the job. Buy it. The booking page describes the first call as mapping where AI pays off in your business and where it does not (checked 2026-10-13), so hearing "not here" is within its scope.

If you cannot yet measure success, fix that first; measuring AI ROI in production shows what to instrument. "Not yet" is a legitimate answer at every rung.

What does the free 30-minute call cover?

A 30-minute working session on Google Meet, with no deck and no pitch, run by a senior engineer rather than a sales representative (booking page, checked 2026-10-13). You describe the problem; a sentence is enough to start. The session maps where AI would pay off in your business and where it would not, and scopes what a first proof of concept would involve. You leave with a view of what that proof would show, roughly what it would take and whether it is worth doing. It costs nothing (engagements page) and carries no obligation (booking page). If you would rather write first, use the contact form.

How much does it cost to start?

The first step costs nothing, and the first paid rung starts at $2,500, for AI in a Day. Prices are in US dollars, shown as starting points and set against a scoped engagement after the free call, so you see the deliverable and the price before you commit (engagements page). On the AI Production Build and Your AI Team, model usage, third-party licenses and cloud infrastructure are separate: billed at cost, or paid directly by you. Questions worth asking any firm are in how to choose an AI partner.

What terms run across the engagements?

Three published terms run across the ladder, each where it applies. First, independent verification, the basis of production AI, proven: every engagement that builds something ends with independent verification on the running system, and the person who builds it does not sign it off (the principle is in the data-integrity contract). Second, scope and price before you commit, for all six. Third, a way out where one is published: a POC can end in "do not build", AI Rescue keeps an off-ramp after week one, and Your AI Team has a structured, no-lock-in exit at no extra charge. The method is on How we work; past work is described by sector, never by client, on the Work page.