AI DECISION ADVISORY · GLOBAL

The hard AI decisions, made before you spend on the build.

Aura Consulting helps founders and operating teams decide where AI belongs, which models and architecture to use, and what it will really cost. Then we stay on as technical lead so the decisions hold.

Led by Anu Sharma. Previously at Google X (Twitter) Intuit Palantir

01 — THE REAL PROBLEM

Most AI projects are won or lost at the decision, not the build.

Before anyone writes code, three calls determine whether the project works. Getting them wrong is expensive to find out later.

DECISION 1

Should this use AI at all?

Sometimes the right answer is a direct data source, a rules engine or a better process. We tell you when AI is the wrong tool, and where it earns its place.

DECISION 2

Which model, and which architecture?

Accuracy, cost per task, speed, data sensitivity and vendor risk all pull in different directions. We make the trade-offs explicit and pick one.

DECISION 3

What do we build first?

A first version small enough to test with real users and focused enough to finish. We cut the scope down to what proves the idea.

Anu spent years as a forward deployed engineer, embedded inside customer teams, making exactly these calls where the stakes were real. Aura Consulting is that judgment, available before you commit your budget.

02 — HOW WE WORK

Start with a decision. Scale only if it pays.

We don't write production code. We make the decisions that determine whether a build succeeds, then help you choose and brief the right builders and keep them honest.

STEP 1 START HERE

AI Decision Sprint

A fixed-fee, one to two week engagement that turns an idea into decisions you can act on.

  • Use-case assessment: AI or something simpler
  • Model and architecture recommendation
  • Cost, risk and data review
  • Build-ready spec and first-version scope
  • Shortlist of builders or vendors to brief

STEP 2

Build oversight

We act as your technical lead while the builders you've chosen do the work.

  • Review of work against the spec
  • Scope and decision control as things change
  • Milestone and quality checkpoints
  • You contract directly with your builders

STEP 3

Fractional AI advisor

An ongoing monthly retainer for the AI decisions that keep coming up after launch.

  • Model, vendor and cost reviews
  • Roadmap and prioritization
  • Support for leadership and product teams
  • Hands-on workshops for non-technical staff

03 — SELECTED WORK

Real engagements, real decisions.

Client names are withheld by agreement. Details available on a call.

Mining & metals · Ongoing

Helping a global mining company decide [the decision, in plain words]

The decision
[One or two sentences on what had to be decided]
What we did
[What Aura assessed, recommended or built]

[Headline result, e.g. hours saved, cost avoided]

Hospitality · Restaurant & spa

More bookings across restaurant and spa by growing the group's traffic footprint.

The decision
Where to invest to bring more of the right guests to a hospitality group's restaurant and spa.
What we did
Expanded the group's online footprint so more guests found it, [name the levers: AI search, local search, content, creators].

[+X% bookings over Y months]

04 — INSIDE A SPRINT

From a rough idea to a plan your builders can start on.

01

Frame

Pin down the goal, the users, the data and the constraints.

02

Assess

Test the idea against simpler options, real data and real costs.

03

Decide

Choose the model, architecture and first-version scope, and write down why.

04

Hand off

Deliver a build-ready spec and help you brief the right builders.

ALSO — AI DISCOVERABILITY

It's not SEO anymore. It's AEO.

Customers now ask ChatGPT, Gemini, Perplexity and Google's AI answers before they ever open a list of links. We help companies become the source those answers name. It pairs well with a decision sprint when growth is part of the goal.

8% vs 15%

How often people clicked a traditional search result when an AI summary appeared, versus when it did not.

Source: Pew Research Center, July 2025.

05 — ABOUT

Led by someone who has made the calls.

Aura Consulting is led by Anu Sharma, a former engineer at Google, X, Intuit and Palantir, where she worked as a Forward Deployed Engineer embedded in customer teams on hard, high-stakes problems.

She advises founders and operating teams on their hardest AI decisions, and she practices what she advises: she has built an audience of 650K+ across YouTube, LinkedIn, Instagram and X by making her own work easy to find and easy to trust.

Founded with Srishti Sharma. Independent, global, and small on purpose, so the people you meet are the people doing the work.

THE PRINCIPLE

Use AI where it earns its place.

Sometimes the best answer is a direct data source or a simpler process. We will tell you when AI is the wrong tool, and show you where it is the right one.

06 — QUESTIONS

Straight answers.

What is an AI Decision Sprint?

A fixed-fee, one to two week engagement that turns an AI idea into decisions you can act on: whether AI is the right tool, which model and architecture to use, what it will cost and risk, and a build-ready spec. You leave with a written plan your builders can start from.

Do you build the software yourselves?

No. Aura Consulting does not write production code. We make the decisions that determine whether a build succeeds, help you choose and brief the right builders, and stay on as technical lead so the work matches the plan.

Who is this for?

Founders with a product idea who need a clear, buildable first version, and operating teams in industries such as mining, hospitality and finance who know AI could help but are not sure where, with what, or at what cost.

What does an engagement cost?

Decision sprints are a fixed fee agreed in writing before work starts. Build oversight and advisory retainers are scoped after the sprint. Share your budget and timeline in the inquiry form so we can say quickly whether it is a fit.

What is answer engine optimization (AEO)?

AEO is the practice of making your company easy for AI systems such as ChatGPT, Gemini, Perplexity and Google's AI answers to find, understand and cite. Instead of only ranking in a list of links, the goal is to be the source an AI names when someone asks a question your business should answer.

07 — CONTACT

Start with a conversation.

Tell us what you're trying to build or decide. We'll tell you honestly whether a sprint makes sense.

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