You don't need another AI tool. You need an AI structure.

We capture how your business actually works, govern it in one place, and build AI on top that your team can check. We work with founder-led companies, one workflow at a time.

// generic AI knows the internet.
// it doesn't know your pricing logic,
// your voice, or your rules.
// we build the part that does.

Start with what you run

Path 01 · Construction & AEC

Your best estimator prices jobs nobody else can touch.

And he is one resignation away from taking that pricing with him. Change orders leak margin that nobody catches until closeout. Meanwhile half the office quietly runs its own AI on private prompts and personal subscriptions the company neither sees nor owns.

1.1

The quoting engine

We start where the risk is worst. We capture how your chief estimator prices work, the logic and the judgment behind it, and make that the baseline every bid starts from. Throughput goes up, and the knowledge stays when people leave.

1.2

Change-order capture

The same captured pricing logic then watches the paperwork nobody has time for. It flags the scope changes that should have become change orders and drafts them for a human to approve. That is margin you already earned.

1.3

Submittal and spec checking

And because the record now lives in one governed place, submittals and specs get checked against it before they go out the door instead of after they come back.

The numbers these move · estimating throughput · change-order margin capture · rework

Twenty minutes on your estimating workflow tells you whether this is worth building. Book the call →

Path 02 · Manufacturing & OEM

What sales sold, what engineering specced, and what shipped should match.

When they don't, the rework to reconcile them eats margin every month, and the person who knows why they drifted apart is planning to retire. Every quote and every datasheet depends on knowledge that lives in two or three heads.

2.1

One product truth

We start by putting what your company makes, every capability and every certification, in one governed place. Sales claims, specs, and customer answers all draw from it, so they stop contradicting each other.

2.2

The quoting engine

That same record then feeds quoting. Your best estimator's pricing logic gets captured and applied to every quote, not just the ones he touches.

2.3

The marketing engine

The same truth also feeds marketing. We built this pattern first at a UL508A control-panel manufacturer: content that comes out in the company's voice, on the company's facts, without an engineer rewriting every draft.

The numbers these move · rework rate · quote cycle time · on-time delivery

Twenty minutes on your quoting or spec workflow tells you whether this is worth building. Book the call →

Path 03 · Agencies & professional services

The proposal went out clean, confident, and on time. Which price list did it use?

It pulled from three, and nobody in the office can say which numbers the client saw. Your brand voice lives in one person. Client answers depend on who picked up. More AI access made the drafts faster and the checking slower.

3.1

The proposal engine

We start with the document that wins you work. Proposals get built on one governed set of price lists and capability statements, so the numbers in the draft are the numbers you meant.

3.2

The content engine

The same foundation then carries your voice. Drafts come out sounding like the firm, on the firm's facts, whoever produces them.

3.3

Client answers

And when a client asks a question, everyone answers from the same approved knowledge, at the speed of the person who knows it best.

The numbers these move · proposal cycle time · rework rate · response time

Twenty minutes on your proposal workflow tells you whether this is worth building. Book the call →

A tool versus a structure

Five differences you can check without a demo.

	A tool	A structure
What it knows	It knows the internet.	It knows your business, captured and governed.
How it behaves	It does whatever each person prompts.	It follows your rules: approvals, permissions, escalation.
When your best person leaves	The knowledge walks out with them.	The knowledge stays in the structure.
Over time	It goes stale.	It compounds. Every approval and correction feeds it.
Who's accountable	Nobody is.	A named owner is, with human gates and an audit trail.

How an engagement runs

Each step has to earn the next one.

A twenty-minute call

You pick the workflow that queues behind you most. We walk it end to end and mark where the time goes. No charge.

Architect Workshop

We spend a half day with you and your key decision-makers, map how the business actually runs, and find three to five places AI moves a number you already track. Fixed price: $5,000.

Discovery

One to two weeks produces the plan: what we found, what it's worth, what it takes.

Build and measure

Four to six weeks builds one workflow against one metric, with targets signed before we start.

Expand

Additional workflows build on the same governed record, so each one lands faster than the last.

We charge a fixed price per project, never by the hour. Stop at any point and keep everything built to date.

The rule we build on

If AI drafts the work, how do you keep the decisions good?

Every owner we talk to asks that question sooner or later. Our answer is a standing rule: no black box, anywhere. AI never tells your people what to do, and it never owns a customer relationship. A human reviews every seam that involves money, anything irreversible, or anything a customer sees. Every agent has a named owner and a kill switch.

The test we hold ourselves to: if the AI went silent tomorrow, your team could still explain the work, judge it, and do it.

Who we are

Daniel Obodovski

Founder, Silent Intelligence · Co-founder, SMBai

Co-author of The Silent Intelligence: The Internet of Things, one of the first books on the machine-to-machine shift. As Director of Business Development at Qualcomm he led the commercial launch of multiple machine-to-machine businesses, several of which started as R&D concepts.

Since then he has sold and led strategy and technology projects for Qualcomm, Samsung, Arm, LG and Google X, and for private-equity-owned companies in logistics and manufacturing. Trained in philosophy and linguistics rather than engineering, he has spent twenty-five years inside engineering teams, which is why the method starts with how people actually work.

Michael Job

Co-founder, SMBai

Michael spent ten years in new product development at Rexnord and Zurn Elkay, starting on the shop floor and ending up running the programs. He built the development process itself: the gate reviews, the schedules, the rules for what ships and what waits. More than fifty embedded hardware-software programs ran through it, and he led the launch of more than twenty products.

He works in the Lean tradition, learned on Kaizen events and DMAIC projects: map what actually happens, find where the time goes, and fix the process before automating any of it. He has since built a go-to-market from a blank page for a switchgear manufacturer, and now builds AI agent workflows hands-on: intake design, assembly, and the review gates that keep a person accountable.

One of us has run the discovery-and-architecture motion for Fortune 500 clients; the other has run the floor where the process either works or does not. You get both in the same room for the length of the engagement, not a partner at the pitch and juniors afterwards.

Next step

Twenty minutes on one of your workflows.

Pick the one that queues behind you most. We walk it end to end, mark where its information lives and who owns it, and tell you straight whether there is anything here worth building. If there is not, we will say so.

20 min

no charge

Book a time →

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daniel@gosmbai.com · michael@gosmbai.com