AI Implementation Services

AI Implementation Services
That Leave Your Team in Control

Anar Agency provides AI implementation services for companies with 10 to 500 people. We pick two or three workflows, build the AI systems, connect your data, add guardrails and cost caps, train one owner on your team, and hand over ownership in 60 to 120 days. Engagements run $2,000 to $15,000 per month.

No strategy deck. We build the first working system with you, prove it pays, and hand over the keys. Plain language the whole way.

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What are AI implementation services?

AI implementation services are the build work that turns "we should use AI" into a system that runs every day: the workflow is chosen, the tools are set up, your data is connected, the rules and spend caps are in place, the output is checked, and someone on your team knows how to run it.

Most AI consulting sells you a plan. You pay, you get a deck, and nothing changes. The hard part of AI is not the idea. It is the build: connecting your data, setting guardrails, checking quality, and controlling cost. Most of what looks like an AI problem is really an operations problem wearing an AI costume, and the fix is operational.

We are an AI and automation agency. We do the build. You get working systems your own team runs, and you keep ownership of every piece when we are done. If you want the strategy side first, start with our AI consulting firm page.

What does an AI implementation consultant actually do?

Six things, in this order, for every workflow we take on:

What we implement

Lead and sales pipelines

Forms, routing, follow-up, and tracking that turn traffic into booked calls. Every lead lands in your CRM, your inbox, and your sheet.

AI phone and follow-up agents

An AI receptionist that answers, qualifies, and books calls, built with the consent rules for AI calling written in from day one.

AI agents with guardrails

Custom agents that do real work inside limits you set: what they can touch, what they spend, and how their output gets checked.

Data and knowledge systems

A retrieval layer over the tools you already use, so your AI can answer from your real company knowledge without a data overhaul.

Quality and cost controls

Simple checks that tell you the work is good, and spend caps that stop runaway costs before they start.

Team training and handover

Plain-language documentation and training for the person who will own the system after we leave.

How much do AI implementation services cost?

Our engagements run between $2,000 and $15,000 per month, billed monthly, not by the hour. The first phase is 60 to 120 days. Three things move the price:

You should see a working, measured system inside the first month. If a provider cannot show working output that fast, ask why.

AI implementation partner vs consultant vs in-house team

Owners ask us this more than anything else. The honest answer is a sequence, not a choice.

OptionGood atWatch out for
Implementation partner (us)Shipping the first proven workflows fast, installing the operating habits, training your ownerMake sure handover is in the contract, not a promise
Hourly consultantAdvice, audits, second opinionsHours add up and nobody owns the build
In-house AI hireRunning a portfolio of working systems long termHiring before you have a proven workflow burns months of payroll on exploration

The full math is in AI Consultant vs In-House Team: The Real Math, and the ownership question in Who Owns AI in Your Company. Read them before you talk to us or anyone else.

How the engagement works

01

Prove (60 to 120 days)

We write the roadmap in the first two weeks, then pick two or three painful workflows, build the AI systems, and measure them against your before numbers. Working output in the first month.

02

Transfer

We train one owner on your team. Our job shifts from building to teaching. Everything is documented in plain language.

03

Scale

Your team runs the portfolio. We come back for the hard parts: new builds, audits, and upgrades. You are never dependent on us.

Framework: Prove, Transfer, Scale

Prove that a workflow pays before you staff it. Transfer it to a named owner before you scale it. Scale only what your own team can run. Skipping the transfer step is how capability walks out the door with the vendor.

Who we build for

Owner-run companies with 10 to 500 people where one missed call or one slow follow-up costs real money. The industries asking us most right now:

We are based in Phoenix, Arizona and work with companies across the United States. Valley companies can start with an in-person kickoff through our Phoenix AI consulting page.

Is this for you?

Yes, if: you run a company with 10 to 500 people, you want AI doing real work this quarter, and you want your own team to end up in control.

No, if: you want a research report, you need enterprise procurement cycles, or you want to outsource thinking about your own business forever.

Questions owners ask us

What are AI implementation services?

AI implementation services are hands-on work that puts AI to use inside a business: choosing the workflows, building the systems, connecting company data, adding guardrails and cost limits, checking output quality, and training the team that will run it. It is the build, not the plan.

What does an AI implementation consultant do day to day?

An AI implementation consultant maps one workflow at a time, sets up the tools, connects your data, writes the rules the AI must follow, tests the output against your before numbers, documents everything in plain language, and trains your team. It is hands-on work, not a report.

How much do AI implementation services cost?

Our engagements run between $2,000 and $15,000 per month depending on scope. The first phase is 60 to 120 days. You should see a working, measured system inside the first month. If a provider cannot show working output that fast, ask why.

What is the difference between hiring an AI consultant and just buying an AI tool?

A tool gives you a blank box. A consultant gives you a working system: the tool connected to your data, wrapped in rules about what it can touch and spend, checked for quality, and handed to a trained person on your team. Most companies that buy the tool alone are still at the experiment stage a year later.

AI implementation partner vs consultant vs in-house team: which is right?

For most companies under 500 people the answer is a sequence, not a choice. A partner ships the first proven workflows in 60 to 120 days, one internal owner takes over as those workflows stabilize, and specialists come back only for the hard parts. Hiring a full AI team before you have a proven workflow burns months of payroll on exploration.

What is an AI implementation roadmap?

An AI implementation roadmap is a short, ordered list of workflows to automate, what each one needs (data, tools, rules, an owner), what it should cost to run, and how you will know it is working. We write one in the first two weeks and then build against it. A roadmap without a build behind it is a strategy deck.

How long does AI implementation take?

The first working system lands inside the first month. The first phase, where two or three workflows are built and measured, takes 60 to 120 days. After that your team runs the systems and we return for new builds, audits, and upgrades.

Do we need to be technical to work with you?

No. Most of our clients are not technical. We explain everything in plain language, we document what we build, and we train your team on it. You keep ownership of every system when the engagement ends.

Can you build on Claude, ChatGPT, or Gemini?

Yes. We build on the major model providers and keep your systems model-agnostic, so you can switch vendors as prices and capabilities change. You are never locked in through us.

Do you work with companies outside Phoenix, Arizona?

Yes. We are based in Phoenix and work with companies across the United States. Everything we build runs online, and the training and handover happen over video calls.

Sources and standards we build against
NIST AI Risk Management Framework (we align guardrails and review steps to it) ↗OWASP Top 10 for Large Language Model Applications (the security checks we build against) ↗Anthropic: Building Effective Agents (the agent patterns we use) ↗Stanford AI Index (yearly data on business AI adoption) ↗

Bring us one workflow that wastes your team's time.

In 15 minutes we will tell you what we would build, what it would cost to run, and how you would know it is working. No pitch deck.

Book a 15-Min Chat →