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Field Guide 05Decide

How to choose an AI implementation partner.

Five ways to get AI working in a mid-sized company, plus the option of waiting. What each one costs to engage, what you keep at the end, who runs the system after launch, and the questions that separate one provider from another.

Decide6 topics15 min readUpdated September 2026
The short answer

An AI implementation partner is the firm that takes an AI project from idea to a working system inside your business. To choose one, compare the options on four things: what they deliver (a plan, code, software or a running system), how they price it, what you own at the end, and who runs the system and answers for it after launch. That last question separates the options more than any other.

What an AI implementation partner does.

Getting AI working in a business takes five kinds of work: finding the workflows worth doing, building or configuring the system, connecting it to the tools your team already uses, getting people to use it, and running it after launch. An AI implementation partner covers some or all of that work. Most buying mistakes come from assuming a provider covers a part it does not.

Before you compare firms, write down which of the five you need someone else to carry, and which you can carry yourself. A company with a strong operations lead and an IT manager needs something different from a company where the owner is also the COO.

The six options.

Every provider you talk to fits one of these categories, or sells a mix of two.

  1. Traditional consulting.Strategy, a diagnosis and a roadmap. Strong on business context and on getting leadership agreement. The build is usually a separate project, often with someone else.
  2. An AI dev shop.Engineers who build to a specification. Strong on custom work. The business case, the specification and the running of the system after launch usually sit with you.
  3. AI software.Products you license and configure yourself. Quick to buy and easy to trial. The setup, the adoption and the fit with your workflow are yours to carry.
  4. Hiring in-house.A person or a team on your payroll. Full control and knowledge that stays close to the business. Hiring takes time, and one hire rarely covers every kind of work above.
  5. An AI operating partner.A provider that finds the work worth doing, installs a system in the tools you already use and runs it for a fixed monthly price, reporting the results in dollars.
  6. Waiting.A real option when no workflow is costly or frequent enough to pay back yet. What waiting costs is the value of the work you keep doing by hand.

For StrikeArc's own side-by-side view of these categories, see how StrikeArc compares.

How each option is priced.

The pricing model tells you what the provider is really selling. Hours sell effort and licenses sell access. A fixed monthly price sells an outcome that someone has to keep delivering.

OptionUsual pricing modelWhat pushes the cost up
Traditional consultingDay rates, or a fixed project feeScope, seniority and the length of discovery
AI dev shopA project fee, then change orders and a support contractCustom integration and changes after sign-off
AI softwarePer seat or per use, billed monthlySeats, usage and add-on modules
Hiring in-houseSalary, benefits, recruiting and toolsSeniority, time to hire and management time
AI operating partnerA fixed monthly subscriptionThe number of systems live
WaitingNothing up frontThe hours and errors of the work done by hand

Quotes built on different models are hard to compare side by side. The fix is to price one workflow, for one year, including the cost of running it after launch. How to do that, and what each model tends to leave out, is in what AI consulting costs. For the line items of a whole project, read the full cost of an AI project.

What you keep, and who runs it after launch.

Twelve months after launch, each option leaves you holding something different, and someone different answering the phone when it breaks.

OptionWhat you keepWho runs it after launch
Traditional consultingA report and a roadmapYou, or the next provider
AI dev shopCode someone has to maintainYou, unless you buy support
AI softwareLicenses and their renewalsYou, with the vendor's help desk
Hiring in-houseKnowledge held by the people you hiredYour team, while it stays
AI operating partnerSystems running in your tools, reported monthlyThe partner, accountable for the result
WaitingThe way things run todayNobody

Ask every provider the same question: a year after launch, who fixes it when it breaks, and who tells me what it earned?

A partner scorecard.

Ask each provider on your shortlist the same six questions and write the answers down. The weak answers are easy to spot once they sit next to each other.

QuestionA strong answerA weak answer
What do we get at the end?A named working system, or a named document, and which one"Recommendations" with no owner
How is the price built?A fixed price per outcome or per monthOpen-ended hours with no cap
Which systems will it touch, and with what access?Named systems, read-only where possible, revocable at any time"Full access to get started"
Who runs it after launch?A named role, with the cost stated up front"Your team will take it from here"
How is the result measured?A baseline before launch and a measure in dollars or hoursActivity reports and usage charts
What happens if we stop?What you keep, and how access is removedAn unclear exit, or code you cannot run

Add one more question for the meeting itself: who will we actually work with? A good provider names the roles that lead the engagement, do the build and run the system.

Red flags in a proposal.

  • A long discovery phase before anything is priced.
  • Hourly pricing with no cap and no defined output.
  • No named owner for the system after launch.
  • A demo on sample data, with no plan for your own systems.
  • Results described as activity: models trained, prompts written, meetings held.
  • No baseline, so no way to prove the return later.

Where StrikeArc fits.

StrikeArc is an AI operating partner for the mid-market. It starts with StrikeArc Scout, the Intake & Diagnostic, which is free: StrikeArc Scout scores every play in the StrikeArc PowerPlays Library against your answers, and a person walks you through the readout, with the value at stake, the top plays and the do-not-build list. The readout is yours to keep either way.

You then choose how to own a play. The subscription is $7,500 a month, including one play installed per quarter, plus run, optimization and ROI reporting on everything live. A one-time install is $20,000 per play, installed and handed over. Nothing in our library fits? Custom Discovery is $10,000, then a Custom Build and a Custom Subscription priced from the Discovery findings. You can see the prices in full or see how the path works.

In one line

Not another advisor, tool, or implementation shop. One partner responsible for making AI work in the business.

The topics in this guide.

TOPIC 01AI consulting costHourly rates, project fees and fixed monthly pricing, and how to compare quotes built on different models.Read the topic
TOPIC 02AI consultant, agency or in-houseA neutral decision guide across every way to get AI working.
TOPIC 03Questions to ask an AI consultantThe questions that separate providers, with a full scorecard.
TOPIC 04Fractional chief AI officerWhat the role covers, where it stops, and when a company needs one.
TOPIC 05Build vs buy AIWhen a custom build earns its cost, and when a system installed and run for you fits better.
TOPIC 06What an AI operating partner isHow the model works for owner-led companies.

Questions owners ask.

What does an AI implementation partner do?

It takes an AI project from idea to a working system inside your business: finding the work worth doing, building or configuring the system, connecting it to your tools, getting people to use it and, with some partners, running it after launch.

How much does an AI implementation partner cost?

It depends on the pricing model: day rates, a fixed project fee, software licenses, salaries, or a fixed monthly subscription. StrikeArc publishes its prices: StrikeArc Scout is free, the StrikeArc PowerPlays Library subscription is $7,500 a month including one play installed per quarter, and a one-time install is $20,000 per play.

Should we hire in-house or use a partner?

Hire when you have a steady pipeline of AI work, can recruit and keep the people, and want the knowledge on your payroll. Use a partner when you want a few workflows working and run without building a team.

What should we ask a provider before we sign?

Ask what you get at the end, how the price is built, which systems it touches and with what access, who runs it after launch, how the result is measured, and what you keep if you stop.

Can we start with one workflow?

Yes, and it is the safest way to start. Pick the workflow with the clearest measure and a named owner. StrikeArc's one-time install covers a single play for $20,000, and the subscription adds a play each quarter.

Keep reading.

Bring your shortlist

Ask us the same questions you ask everyone else.

Book an intro call

Thirty minutes with the exec who owns the problem. Bring the scorecard, and we will answer every line of it.