AI Strategy Consulting

Our AI strategy consulting helps you decide where AI will actually pay off, test it on your own data, and plan a rollout your team can run. Practical advice from people who build and ship AI products, not slide decks.

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Overview

What is AI strategy consulting?

AI strategy consulting helps a business decide where AI is worth using, what it will cost and how to roll it out safely. A good engagement ends with a ranked list of use cases, a check of your data, a build-or-buy call for each, and a tested proof of concept for the most valuable one.

Challenges

Why AI plans stall before they start

Everyone wants AI, nobody agrees where

Every team has a list of ideas. Without a way to compare them on value, cost and risk, the loudest idea wins, or nothing starts.

Vendors pitch tools, not answers

Each vendor says its product is the answer. You need someone with nothing to sell you to say what fits your data and your budget.

Pilots that never reach production

A demo impresses the leadership team, then stalls because nobody planned for real data, security reviews or the monthly model bill.

Services

Our AI strategy consulting services

Our AI strategy consulting services take you from a long list of ideas to a plan you can fund and a first result you can show:

AI opportunity workshop

We map your workflows with the people who run them and list where AI could save time or create value.

Use case scoring

Each idea ranked by value, effort, data readiness and risk, so you start with the one most likely to pay off.

Data readiness review

We check whether your documents, databases and systems can support each use case, and what needs fixing first.

Build, buy or skip

For each use case, whether an off-the-shelf tool, a custom build or no AI at all is the right call.

Model and vendor selection

OpenAI, Anthropic, Google or open-source models such as Llama, compared on your real tasks for accuracy, cost and privacy.

Proof of concept and roadmap

The top use case tested on your own data, plus a phased plan with costs, timelines and success metrics.

Every engagement is fixed-price, and our AI strategy services are independent of any vendor: we don't resell models or software.

AI transformation consulting that ends with something working

Most AI transformation consulting ends with a long report. Ours ends with a working proof of concept. Because we also build AI products, every recommendation comes with an honest view of what it takes to ship: the data work, the integrations, the monthly running cost and the people needed to keep it going. That's what applied AI consulting should mean.

What you get at the end of an AI strategy engagement

  • A ranked list of AI use cases with expected value, effort and risk
  • A data readiness report with the gaps to close first
  • A build, buy or skip recommendation for each use case
  • Estimated build cost and monthly running cost for the top use cases
  • A working proof of concept for the highest-value use case
  • A phased roadmap with success metrics, owners and timelines

Who we work with

  • Startups: among AI consulting companies for startups, we're one that also builds the product, so the advice is about what to ship first, not what sounds impressive in a pitch deck.
  • Mid-market companies: AI consulting for mid-market companies that want results in months, not a multi-year program.
  • Larger organizations: enterprise AI consulting services for one department or workflow, with security, data residency and compliance built into the plan.
  • Nonprofits: AI where budgets are tight and data is sensitive, like the finance assistant we built for Altruva.

Process

How our AI strategy consulting works

  1. 01

    Free strategy call (week 0)

    We learn your goals, systems and constraints, and tell you honestly whether you need a strategy engagement at all.

  2. 02

    Discovery workshops (week 1)

    We map workflows with your team and collect every AI idea worth considering.

  3. 03

    Scoring and data review (week 2)

    Ideas ranked on value, effort, data readiness and risk, with a build-or-buy call for each.

  4. 04

    Proof of concept

    The top use case built and tested on your real data against agreed metrics.

  5. 05

    Roadmap and handover

    A phased plan with costs and metrics. We can build it with you, or your team can take it from there.

How to evaluate AI consulting firms

Whether you hire a single consultant or a large firm, these checks are the honest answer to how to evaluate AI consulting firms:

  • Ask what they've shipped. Live AI products tell you more than case studies about pilots.
  • Check they'll tell you not to use AI. A good consultant recommends an off-the-shelf tool, or nothing, when that's the honest answer.
  • Ask about running costs. Model bills, hosting and monitoring belong in the plan, not in a surprise invoice later.
  • Ask who builds it afterwards. Advice is easier to act on when the same team can build it, or hand it over cleanly.
  • Ask how they handle your data. Where it goes, who can see it, and whether any model trains on it.

Case studies

Why choose Outstep as your AI strategy consultant

We're an AI strategy consultant that also builds, so our advice comes from AI products that are live today:

“The Outstep Technology team partnered with us on both the strategy and development of our Earthly Insight web and mobile applications. Outstep is more than just a development team, they are true partners. Their impact on the success of Earthly Insight was significant, from shaping the product vision to delivering high-quality execution. When someone asks me for a trusted development partner, Outstep is the first team I recommend. If you're looking for a partner to help plan, design, and build a product, I highly recommend working with Outstep and their team.”

Matthew Plotkin

Matthew Plotkin

Founder, Earthly Insight

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FAQ

AI strategy consulting FAQs

What is AI consulting, and how is AI strategy consulting different?

AI consulting covers any expert help with AI, from picking tools to building systems. AI strategy consulting is the first step: deciding where AI is worth using, in what order and at what cost, before money goes into building.

How much does AI strategy consulting cost?

A focused AI strategy engagement with Outstep typically costs $1,500–$3,000. A proof of concept for the top use case is priced separately, usually $3,000–$6,000. You get a fixed price after a free call.

How long does an AI strategy engagement take?

Discovery, scoring and the roadmap usually take 2–3 weeks. A proof of concept for the top use case takes another two to six weeks.

Do we need clean data before we start?

No. Checking your data is part of the work. We'll tell you which use cases your data supports today and what to fix for the rest.

Will you recommend off-the-shelf AI tools?

Yes, when they're enough. ChatGPT Team or Microsoft Copilot often cover general productivity. We recommend a custom build only where it clearly pays off.

Can you build what you recommend?

Yes. We're also an AI development company, so the same team can build the roadmap; see our AI Development and AI Agent Development services. Or we hand the plan to your own team.

When should we hire AI consultants instead of working it out in-house?

Hire AI consultants when you need to decide quickly, your team hasn't shipped AI before, or you want an independent view on vendors and costs. If your team already runs AI in production, you may only need a short review.

Is AI business consulting the same as AI strategy consulting?

The terms overlap. AI business consulting often looks at how AI changes a whole business model; AI strategy consulting is narrower and more practical: which use cases to start with, how to test them and what they'll cost to run.

Contact

Find out where AI will pay off for you

Tell us about your business and the ideas on the table. We'll reply within one business day with honest next steps and, if it makes sense, a free strategy call.

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