Managed AI for small & mid-sized business

In a year, the best AI ideas in your company should come from your people, not from us.

ScaleSight AI is a managed AI service. Our team runs one secure AI workspace for your whole company under a ceiling you set, and ships new templates, agents, and workflows into it every month, out of a library built once and given to every client. ScaleSight AI also builds scoped AI projects on their own, with a start date and an end date.

That ceiling and written rules about who checks what are not what you are buying. They are what make it safe for your people to start building their own quotes, summaries, and reports.

Book a readiness review What good looks like
  • Everything built before you arrived
  • Budget split by team, capped
  • A record of what AI is used for
  • Your work stays yours

What we are building toward

A few automations is where this usually stops.

Four workflows, a renewal, and nobody inside the company able to build the fifth. ScaleSight AI is working toward people who keep finding the next one without being asked.

You will know it is working before any report tells you

  • The person who closes your books sets up something that drafts the month-end summary, and mentions it to you after it is already working.
  • The question in a meeting stops being “could AI do this?” and becomes “has anyone already?”
  • Somebody asks us to check something they built, instead of asking us to build it.
  • A new hire’s first week starts from what your team already worked out, not a blank page.

The test we hold ourselves to

After a year, who found your last three AI use cases? If the answer is ScaleSight AI, you bought automations. If the answer is your own people, you have something that compounds.

We cannot sell you a culture, and neither can anyone else. What ScaleSight AI can do is run the conditions that make one possible: spend bounded so experimenting is safe, one place where good method is visible instead of private, and something new landing every month. At the quarterly review our team tells you honestly whether it is happening.

The library

Somebody else already paid to build half of your AI workflows.

The work that is the same in every business gets built once. Every ScaleSight AI client gets all of it, including everything built before they arrived.

Built once, delivered to everyone

Proposals, quotes, meeting summaries, job postings, onboarding packets, customer replies. Close to identical in every business, so ScaleSight AI builds each one properly once instead of charging every client to solve it again.

Your own work never leaves your workspace

Anything built on your documents, your data, or the specific way your company does a job stays in your workspace and is never shared with another client. The library is the generic half only, and ScaleSight AI writes down which half a thing belongs to before building it.

It compounds while you are not looking

The more companies ScaleSight AI runs this for, the larger the library is on the day a new client starts. A company joining in month twenty opens nineteen months of generic work, and none of another client’s private work.

Maintained, not just piled up

A workflow that worked in January is weaker by September, because models and prices change. ScaleSight AI re-points the library to better or cheaper models and re-tests it. An unmaintained library stops earning its place.

A software license cannot do this for you. An hourly consultant will not: they are paid to build your thing once, then start from zero on the next client.

Two ways to work with us

A managed service that runs your AI, and a team that builds with it

Managed AI is ongoing: ScaleSight AI runs the workspace, sets the allowances, and ships new work every month. An AI Build Project has a scope, a start, and an end. You can take either one on its own.

Ongoing managed service

Managed AI

Your people are already using AI, on accounts you cannot see and a bill nobody has added up. ScaleSight AI puts all of it in one workspace under a ceiling you set, and puts a team on making sure it gets used.

  • Control: every seat carries a monthly usage allowance, and ScaleSight AI sets that allowance by team and department rather than per person, reviews it against real use every month, and brings you the changes worth approving. Pricing is per seat plus usage, under a ceiling you set.
  • Collaboration: one workspace the company owns instead of forty personal accounts. Shared prompts, projects, and templates are visible to colleagues and reusable by them, and what a person keeps private stays private.
  • Governance: a report on the kinds of work going through the workspace, by department, plus written review points for anything with money or a customer on the other end. That record is where next month’s build list comes from.
  • Acceleration: new templates, agents, and workflows handed over every month, with short recorded training at each handover so somebody has shown your team how to use them.
  • Model agnostic: nothing ScaleSight AI builds is tied to one AI company. Routine work runs on whichever model does it well for the least money, which is one of the levers that keeps a month’s work inside its allowance.
See Managed AI
Project work

AI Build Projects

The AI work that is too specific to come out of a box. Scoped in writing, built, tested against your real past cases, and handed over with the people trained to run it.

  • Scoped in writing before anything is built: the work it replaces, the steps, what a person still checks, and what finished looks like.
  • The hours we need from your team are in the scope before you sign, not discovered afterwards.
  • One accountable owner, and written status against milestones.
  • Everything built is model agnostic, so a model change means re-pointing, not rebuilding.
  • Handed over working: documentation, trained users, and the workflow already running in the business.
See AI Build Projects

What we do

Contain the risk. Compound the return.

Four jobs, in two halves. Most providers sell one half: either the upside or the restraint. ScaleSight AI is one team doing both, on one invoice.

Contain the risk

The money and the judgment, bounded before any of this scales.

Set the budget, then split it across the teams.

ScaleSight AI sets each team’s monthly allowance, watches it while the month is running, and holds total spend under a ceiling you set.

Know what AI is being used for, and who checks it.

ScaleSight AI reports the kinds of work your company hands to AI, by department, and writes down where a person signs off before anything leaves the building.

Compound the return

Method that accumulates instead of resetting every time somebody starts over.

One place to work, so good method spreads.

ScaleSight AI sets up the shared spaces and shows your people how to publish the jobs worth keeping, so the next person opens a method instead of inventing one.

The library grows every month.

ScaleSight AI ships new templates, agents, and workflows into your workspace every month, most of them built for another company first, which is why they cost you nothing extra. Nothing built on your data leaves your workspace.

See what each one involves

Why ScaleSight AI

The software is the easy part

There is no shortage of places to buy AI seats. What is scarce is somebody doing the work afterwards: setting the allowances, reading the usage report with you, and building the next thing from what it says.

  • Our team sets the allowances, not just the software. Team-level quotas exist in more than one product. What ScaleSight AI sells is somebody doing the work: setting each team’s allowance at setup, reviewing it against real use every month, flagging which team is close to a limit while the month is still running, and bringing you one decision to approve.
  • A price rise somewhere else is not your rebuild. No single AI company leads at everything: one is ahead on generating an image, another on live web research, another on reasoning across a long contract, and another is just the cheapest way to draft a follow-up email. ScaleSight AI sends each job to the model that does it well, and your people never have to know which one they are using. Nothing ScaleSight AI builds sits inside one company’s model, so when a price moves or a model is retired, our team re-points it and re-tests it against the cases it was accepted on. That is a cost you never see, which is the point of paying for it.
  • We state the pricing model, including the part that varies. Managed AI is priced per seat plus usage. It is not flat and it is not unlimited, and ScaleSight AI says so before the contract rather than on the first heavy invoice. The variable part is visible in real time, attributed by team and department, and capped where you set it.
  • You keep the work if you leave. The prompts, templates, and documents your people create in the workspace belong to your company. Ask for the term, the notice period, and the export terms before you sign, and ScaleSight AI will send them in writing. An exit answer belongs in an agreement, not in a marketing claim, so read it there.

Data and security

“Where does our data go when someone types it into that box?”

On a free consumer account you cannot answer that. ScaleSight AI runs on a SOC 2 Type II audited platform, sends you the written terms before you sign, and says plainly which company the audit actually belongs to.

See how your data is handled
  • SOC 2 Type II audited platform
  • Tenant-isolated
  • No training on your data
  • US-hosted

Questions

The questions we get asked most

What is managed AI, and what does ScaleSight AI actually do?

Managed AI is a managed service where an outside team runs a company’s AI workspace for it. ScaleSight AI does that for US companies of roughly 20 to 500 people where nobody owns AI as a job title: one secure workspace, allowances set by team under a ceiling the client sets, a report on what work is going to AI, and new workflows every month.

What should we budget for managed AI?

ScaleSight AI engagements start at $250 a month, and above that the budget follows the seat count. Plan on these monthly ranges: up to 10 seats, $250 to $500; 10 to 25 seats, $500 to $1,175; 25 to 100 seats, $1,175 to $3,800. The $250 minimum is where a team of five or fewer lands. Seats above the first ten are budgeted at lower rates, so the budget grows more slowly than the team does. These are seats rather than headcount, because a client seats the people whose work happens on a screen: a 60-person manufacturer commonly seats 20 to 30 and plans against the middle range rather than the top one. Where a company lands inside its range depends on how large the allowances need to be and how much setup the first month carries. These are planning figures rather than a quote, and AI Build Projects are budgeted separately.

Our AI bill keeps climbing. How do we get control of it?

ScaleSight AI puts three things in place: one company account instead of scattered personal subscriptions, a usage allowance on every seat, and a total ceiling the company sets. ScaleSight AI also routes routine work to lower-cost models so each allowance goes further. Spend still varies with use. It varies inside a limit the client chose, and it is visible by team and by department while the month is still running.

How is this different from Microsoft 365 Copilot, and what do I tell my IT provider?

Copilot, ChatGPT, and Claude are products a company licenses and then owns the job of driving. ScaleSight AI is a team that runs the program: allowances set by team and department, a report on what kinds of work AI is being used for, review points for anything with money on the other end, and new workflows built and delivered every month. ScaleSight AI is also not tied to any one of them, so a price rise or a retired model does not become your rebuild, and each job goes to whichever model does it best. ScaleSight AI works alongside an existing IT provider rather than replacing them. The two questions worth asking your provider are who sets the team budgets, and who builds the workflows after launch.

Employees are pasting client data into ChatGPT. What do I do about it?

ScaleSight AI moves the activity into a workspace the company controls, then writes the policy around what people are actually doing. Blocking AI outright pushes the same behavior onto personal phones, where nothing is logged. Once the work is in one place, ScaleSight AI reports what is being handled, sets rules for who can reach which sources, and defines where a person signs off.

We gave everyone ChatGPT and nothing changed. Why?

A blank chat box gives an employee no starting point and no reason to break an existing habit, so the licenses sit unused. ScaleSight AI delivers ready-made templates, agents, and workflows for jobs people already do every week, keeps delivering them every month rather than only at go-live, and runs short recorded training at each handover.

Can someone build AI workflows for us? We do not have time to do it ourselves.

Yes. AI Build Projects is ScaleSight AI’s project work, and it is available on its own or alongside the Managed AI service. ScaleSight AI scopes the work in writing, builds it, tests it against your real past cases, and hands it over documented with the users trained. It has a start date and an end date. Clients who want it maintained afterwards put it on the managed service; clients who do not, own it as it stands.

You build workflows once and give them to every client. Does our work end up at another company?

No. Anything built on your documents, your data, or the specific way your company does a job stays inside your workspace and is never shared with another ScaleSight AI client. What is shared is the generic half: drafting a proposal, summarizing a meeting, writing a job posting. Before anything is built, ScaleSight AI writes down which side of that line the work falls on. If a workflow needs your data to work at all, it is yours alone.

You have no client names or case studies. Why should we believe you?

ScaleSight AI does not publish client names, logos, or case studies. What a buyer can check instead is method: the pricing model stated before the contract, ScaleSight AI’s written security terms, a project scope that names the hours and the review points before anything is built, and a walkthrough on a call using one of your own recurring jobs. Judge the parts that are checkable now rather than a story you cannot verify.

All questions

Find out what AI is already costing you.

The readiness review is where every engagement starts. Where AI is already being used, what data it is touching, what it costs across the expense reports, and what it would take to bring it under control. You get the findings whether or not you go further.

Book a readiness review See how it works