Signet by Circle Square
We build and run AI agents inside your business, every one of them reviewed, logged, and owned by a named human. So when a client, an auditor, or your own board asks who decided what, and on what basis, the answer is already written down.
Set it up
We build your Claude setup: connected, loaded with your knowledge, and used.
Write the rules
Security and AI policies, signed, and a platform to keep them current.
Automate or build
Agents for a workflow. Custom software when it needs to be software.
Then embed
A named engineer inside your business. That's where this goes.
The gap
Your team already uses AI. They opened a chat window, pasted something in, and got something useful back. That part is finished: the awareness gap closed a year ago.
What almost no business has is an agent doing a job. Something that reads the inbox every morning, drafts the response, files it in the right system, and knows when to stop and ask a person. 74% of leaders say AI has improved productivity, yet no single function has moved past pilot for more than about a quarter of them.
The distance between those two numbers is not enthusiasm. It is the last mile: connecting to the systems you actually run, working with data that is actually messy, and having someone accountable when it gets something wrong at 2am.
"Couldn't we just have AI do it?"
You could, and that is the trap. An agent that nobody reviews, nobody logs, and nobody signs for is a liability dressed up as a solution. The moment a client, an insurer, an auditor, or opposing counsel asks"who decided this, and on what basis?", the gap becomes the story.
Nobody signs their name to a chatbot's output. We sign ours.
Adoption figures: Upwork, The State of AI Within SMBs, 2026. Regulatory references: Colorado ADMT Act (SB 26-189), NYC Local Law 144, EU AI Act.
Offerings
Every one stands alone and is priced alone. Nothing obligates the next thing. They connect because each engagement makes the next one cheaper (your context pack carries forward), not because we bundle them.
01 · Build the environment
We come in and build your Claude setup: connected to your real systems, loaded with your real knowledge, and actually used by your team.
$2,900 – $12,900Four modules · take what you need
Start here if: your team has access to AI and it hasn't changed how anyone works. Most clients start here.
What's included, line by line02 · Write the rules
Security and AI policies written around how your business actually operates, and signed by a named person who stands behind them.
$4,900 – $8,900Fixed fee · signed attestation on every policy
Start here if: a questionnaire is in someone's inbox, your renewal is close, or your people are using AI tools you never approved.
What's included, line by line03 · Publish and maintain
Somewhere for your policies to actually live: current, shareable, and ready when someone asks.
$495/moYour live governance portal · month to month
Start here if: you have policies and they're a PDF in a folder nobody has opened since the day they were signed.
What's included, line by line04 · Automate a workflow
One agent does one job, unattended, inside a system you already use.
$4,900 → $14,900Blueprint, then Build · $9,900 per agent after the first
Start here if: you can name the process that's bleeding hours and you want it fixed this quarter.
What's included, line by line05 · Build the software
When the answer isn't an agent: it's software you don't have yet. Often with agents inside it.
$6,000/moA 30-hour block each month at $200/hr
Start here if: you've described what you need and realised no product does it.
What's included, line by line06 · Put one inside the business
An AI engineer inside your business, in your standups, your chat, and your backlog.
from $5,900/moA named engineer · 90-day minimum
Start here if: you have more ideas than budget for one-off projects and you'd rather have capacity than a series of SOWs.
What's included, line by lineWhat you'd need
Rather than hand you a rate card, answer these and we will show you the few things that actually apply to your business, and what they cost.
Nothing is sent anywhere. This runs entirely in your browser.
Be honest. Most businesses are further back than they think.
Pick up to two.
Clients, insurers, auditors, a board, a big customer's procurement team.
The honest answer here decides whether this lasts past month three.
Fixed fees. Model and licence costs pass through at cost; we don't mark up tokens. Every engagement carries a written exclusions list and change control.
How to start
AI Readiness Check · 30 minutes · no obligation
Bring a process and we tell you honestly whether an agent can do it, what it would take and what it would cost, or that it cannot, and why. Bring the application and we show you where its AI and security answers do not match how you actually operate. You keep the findings either way.
Book the AI Readiness CheckWho we build for
The method is the same everywhere. The evidence, the vocabulary, and the first thirty minutes are built separately for the three industries we know best.
Legal · 15–75 attorneys
The renewal checklist, the readiness assessment, and the Renewal Dry Run: thirty minutes on your last liability application. You keep the findings.
Signet for law firmsFinancial and wealth management · SEC-registered, $250M–$5B AUM
The pre-exam checklist, the evidence assessment, and the Evidence File: thirty minutes on the artifacts an examiner, a carrier and an acquirer each want.
Signet for financial and wealth management firmsManufacturing · $10M–$150M
The Quote Clock checklist, the assessment, and thirty minutes on your own RFQ numbers. We say honestly whether an agent helps.
Signet for manufacturersFree tool
Every carrier, examiner and enterprise customer has started asking the same question: what is your policy on AI? Most firms do not have one. This builds you a first draft in about ten minutes, specific to the tools you actually use, not a template with your name pasted on top.
AI Use Policy Starter · ten minutes · no cost
Answer four short sets of questions about the tools your people use, the data you handle, and the uses you want off the table. You get a draft you can circulate the same day, plus an honest read on where a generic policy stops being enough for your obligations.
Build my AI use policyThen, if it makes sense
The first engagement is usually Claude Setup, your tenant secured and connected to your systems in about a week, for $2,900, or an Agent Blueprint, the spec and a fixed quote for one agent in two weeks, for $4,900. Each ends with a real deliverable, and neither obligates the next thing.
Signet field notes
Signet · A division of Circle Square
Thirty minutes, no obligation. You keep the assessment either way.
