AI Consulting Services for Small and Mid-Sized Businesses

An AI consultant finds the tasks where AI will return real time, picks the right tool for each and sets the rules before anyone relies on it. For a small business that means reviewing a normal week of work, ranking a short list of use cases, checking who can see which data and designing one pilot with a clear measure.

Onboarding starts with a scoping call, then a written scope naming the teams, systems and admin access involved. Discovery interviews and system reviews follow, remotely or on site in the regions we cover. For the rollout itself we set up the workspace on the chosen plan, tie accounts to your company sign-in, apply the data and sharing settings, train staff by role in their everyday apps and hand over a short usage policy. Each step has a named owner on your side and on ours.

NetSys offers free project discovery and quotes paid work around the workflows, systems, permissions and implementation needed. Typical hourly, pilot and maintenance rates are in the comparison above. The quote separates implementation, licenses, API usage and ongoing support.

Timing follows the path the plan picks: a pilot on a tool you already license is quickest, AI connected to your own systems takes longer, and custom software takes longest. The custom CRM with an AI layer in our published hedge fund case study was a six-month build. Every phase gets a date in the plan.

The ones we see most: data that is scattered or overshared, so the tool answers from the wrong files; no owner for the tool after launch; staff using personal accounts because the approved option arrived late; pilots with no baseline, so nobody can say whether the tool helped; and connectors given write access before anyone defined which actions need a person's approval. Each has a fix that belongs in the plan rather than in a rescue later: permission cleanup first, a named owner, business accounts from day one, a measured pilot and an approval step on any action.

A standing owner for the tools. Depending on the support scope, NetSys can handle licenses and seat changes, access and connector reviews, user questions, new use cases, vendor changes and scheduled governance reviews. Support can cover the AI tools alone or sit inside a managed IT agreement where we already run the tenant. Billing is confirmed in the quote.

AI consulting is advice on where and how a business should use artificial intelligence, delivered as a plan rather than a product. A useful engagement covers use cases, tool choice, data readiness, security and running cost, and ends with a pilot you can measure. NetSys adds a security review, because AI tools inherit whatever access you give them.

Start with the task rather than the brand, because the right tool depends on where the work lives. Microsoft 365 Copilot suits work inside Microsoft 365, since it only surfaces data each user can already view. ChatGPT Business and Claude Team suit drafting, analysis and assistants outside the tenant, and the Enterprise plan of each adds administration features for larger firms. Custom builds suit tasks that cross several systems. Our Claude consulting and ChatGPT Business setup pages describe each implementation.

Mostly for the reading and writing around client work: first drafts of proposals and reports, summaries of interviews and meeting notes, search across past deliverables and a first pass at data analysis. The rules matter more than the tool. Client material should go only into business accounts the firm controls, under terms that exclude training on your content, and a consultant should review every client-facing output before it leaves the firm.

Both. NetSys works from one office in Brooklyn, and interviews and system reviews can run on site across New York City, Nassau and western Suffolk, Westchester, Rockland, North and Central Jersey, the northern Jersey Shore and lower Fairfield County, CT. Elsewhere in the US the engagement runs remotely, and any visit is scoped in advance.

Both: NetSys is a managed IT and cybersecurity company, founded in 1998, with an in-house AI practice. That matters in AI consulting because much of the risk in AI is about access: which files a tool can read, which account it acts through and where prompts are stored. The engineers who advise on AI also run those controls.

Yes. We can take the project from discovery through the agent configuration, client-owned Twilio setup, custom backend code, integrations, testing and launch support. Examples include reception, support-desk intake, booking, employee training and mock sales prospects. The implementation proposal defines the workflow, responsibilities, costs and acceptance criteria.

No. Part of the consulting work is finding out which data is usable for which task. Some tasks need very little, such as drafting from a template; others, such as answering from your own files, need the files in one place with sensible permissions. The assessment records the data each candidate task depends on and what fixing it would take, so you can see the preparation cost before choosing a pilot.

A short one, yes. Staff are often already using AI tools, so the policy states which tools are approved, what information must never be pasted into them, such as client records or passwords, and who to ask when unsure. It does not need to be long to be useful. We draft it with you during the assessment and tighten it once the pilot shows how people actually use the tool.

Tasks where a wrong answer is expensive and hard to spot, tasks done a few times a month that will never repay the setup, and tasks whose data is scattered across systems nobody can connect. Giving legal, medical or financial judgments to an AI without review is a poor fit as well. We list these in the assessment with the reason, because knowing what not to automate saves as much as the pilot that works.

Ask who will do the discovery and whether they will interview the staff who do the work, how a pilot is measured, which tools they recommend and what they earn from them, what happens to your data, what you keep if you stop after the assessment, and who supports the result. A sound firm answers in writing, quotes a fixed scope and is willing to say that some of your tasks are not worth automating. Guaranteed savings before anyone has looked at your data are a reason to keep looking.

Yes, if they meet the workflow and data access requirements. NetSys compares what your current licenses and systems can do with other options. A pilot can run in your existing workspace, and we only recommend changing tools when the scope or safeguards require it.

For an assessment and a pilot, a fixed scope. The deliverables are known in advance, so the price can be too, and an hourly rate on open-ended discovery rewards slow work. Hourly or capped billing fits better once a build is under way and the scope is still moving. Whatever the model, ask for any hourly rate to be stated in the proposal, for running costs to be separated from the fee, and for a written definition of done.

We choose the right tool for the organization's ecosystem, create the governance program and explain it in a webinar-style team meeting. Individual one-to-one onboarding then connects each employee's approved tools and shows them how to use the program in their work. About 10–14 days later, after people have practiced, a second session goes deeper into their workflows and questions.