AI features for the product you already have

Give your product an assistant that gets real work done.

COGNI.BUILD connects an assistant to your product’s data and tools, so customers and teams can get answers, create what they need, and take action without leaving your app.

See three working examples ↓Talk about my product ↓

Fits your productUses your permissionsManaged through launch

Things we get rightSix of them. Each one running.
Live

“Why did North America jump last month?”

+0%vs. the six-month average
184 closed orders3 campaigns7 months

Answers from your own data

Not the internet. The orders, records and history your product is already sitting on.

ASTER & ROW Thanks for making
Northstar a hit.

Take 10% off your next order with code NORTHSTAR10.

Shop the collection
2 responsive emails · rendered

Makes the finished thing

A real email, a real report, a real work order — not a description of one.

Waiting for Jordan Send 2 campaigns to 3,258 contacts
Approve and sendCancel
✓
Sent and logged3,258 delivered · 0 duplicates

Acts only when you say so

It proposes. A person decides. Nothing reaches a customer on its own.

Vibration at 2× shaft speed is up 41% Sensor feed ↗

Live sensor feed · housing B
Baseline 5.9Now 8.4 mm/s

Shows where it got that

Every claim carries the thing behind it. You can check it instead of trusting it.

“What do we know about the Whitfield account?”

DADana · Legal

Renewal in March. An unsigned amendment and an open dispute.

AXAlex · Sales

Renewal in March, usage 18% above plan. Nothing outstanding.

Answers to the right person

Two correct answers. Alex is never told a dispute exists — not even that one exists.

0moments considered
0worth interrupting for
she is mid-sentencenothing has changeddismissed twice today

Knows when to say nothing

It can help before anyone asks. Almost always, the right move is to stay out of the way.

Answer from real business dataCreate useful workTake approved actionShow where every answer came from

Who this is for

Your product has always had the answers. It just had no way to say them.

The burning question someone brings to your product usually has an answer sitting right there in your data. No screen was ever built for it, so they file a ticket, export to a spreadsheet, or give up. We give your product a way to say what it already knows.

Publishing & research“What is unusual about how this judge rules?”

Reporters, editors and subscribers over news, filings and archives.

Draft work must never reach a subscriber.
Healthcare operations“Which of my patients fit this new guidance?”

Clinicians at the bedside, administrators in service review.

Every figure cites its guideline, or it is not shown.
Field service“Has this failure pattern happened anywhere else?”

Technicians on site with manuals, fault histories and parts.

Works on bad connections, in a plant room.
Government & permits“What would it take to get this approved?”

Residents chasing their own case, officers processing it.

Residents see their record. Only their record.
Education“Where is my class actually falling behind?”

Instructors and coordinators over curriculum and materials.

Aligned to the standard it claims to be aligned to.
Logistics“Which lanes are quietly costing us money?”

Dispatchers over loads, carriers and exceptions.

No booking happens without a person confirming it.
Commerce“What would this look like on me?”

Shoppers deciding, merchandisers explaining.

Shows your real product, not a generic one.
Agriculture“Why did this field underperform the one next to it?”

Advisors and growers over field data and agronomy guidance.

Recommendations carry the source they came from.

These are starting points, not limits. The interesting questions are usually the ones nobody has been able to ask yet — and those are the ones we like most.

See it working inside three very different products

See what your product could do for the people using it.

These are not chat windows with canned answers. Each prototype works through a real task—reading business data, using the right tools, creating a finished result, and asking before it acts.

CClearviewRevenue workspace
⌕ Search accounts, contacts, and reports
JMJordan Miles
Follow-up analysisNorth America sales
JM

How have sales been this past month compared to the last six months?

Prototype behavior These flows use realistic sample business data. Nothing sends, captures, or changes a real system.

Three sample products. Yours is the one that matters.

Tell us the workflow you want to improve and we will show you the same thing running against your product.

Show us your product ↓

The other half of the job

Those three showed it doing what you asked. This is what it does when you don’t.

Help nobody requested, on work already in progress. It is the most useful thing an assistant can do inside a product and the easiest to make hostile — because the whole problem is earning attention you were never given.

RRelaySupport desk

MO Maya Ortiz

SC

Where is my order? It was supposed to arrive Tuesday and I have not heard anything from anyone.

Today · 9:14 AM
Your replyMaya is typing

Sample support data Seventeen features like this one, firing three times per person per day, was 25% of one deployment’s entire AI spend — on suggestions nobody asked for. Restraint is a design decision, not a setting.

The same assistant, for everyone signed in

Reading is one half. Doing is the other.

An assistant that reaches your data inherits a problem your product solved years ago: not everyone is allowed to see the same things, or change them. COGNI.BUILD asks your product who this is — before it reads anything, and again before it offers anyone a button.

OneWhat each person can see

The same question, asked by two people with different access. Both answers are correct. Try the switch — it shows what breaks when this is built the common way.

The same question, two peopleBoth answers are right. That is the hard part.
Live

“What do we know about the Whitfield account?”

Permissions checked
DA
DanaLegal

Read 11 of 11 documents

Renewal is up in March. There is an unsigned amendment and an open dispute over the usage clause.

Correct for Dana

AX
AlexSales

Read 8 of 11 documents

Renewal is up in March and usage is tracking 18% above plan. Nothing outstanding on the account.

Correct for Alex

Alex is not told the dispute exists. Not the contents, not the fact of it — because the three documents he cannot open were never searched in the first place.

Sample business dataTry the other setting
TwoWhat each person can do

Same screen, same assistant, different buttons. A customer reschedules their own delivery. An employee issues a credit. A manager opens a claim with the carrier.

Order #1842Customer access

What can I do about this delivery?

You can hold the delivery until Monday or add delivery instructions. Because the package is already in transit, the address cannot be changed.

Uses this customer’s order and available self-service actions

Two things you should not have to take on faith

You control where it looks. You can prove what it says.

Where your information lives

You choose how far anything travels. Most customers take the middle or the right-hand column, and we will tell you honestly which one you actually need.

What happens to…Stays with youSplitRun for you
Your contentNever leavesNever leavesHosted
Your customers’ questionsNever leavesNever leavesHosted
Settings and consoleYoursHostedHosted
Who runs it day to dayYour teamSharedUs

Nothing you give us is used to train a model. The assistant can only reach the information you connect and only for the person who is signed in.

How you know it is any good

Most AI projects stall at the same place: someone changes a prompt, someone else says it feels worse, and nobody can prove either way. We build the answer to that before we launch.

  • We collect real questions. Fifty of them, from conversations your people actually had — not invented examples.
  • We mark what a good answer looks like. Including the ones where the honest answer is “I don’t know.”
  • Every change has to beat the last one. If a change makes those fifty answers worse, it does not ship.
  • You see the scoreboard. Quality stops being a matter of opinion and starts being a number you can look at.

This is the part teams skip, and it is the reason most internal AI features quietly stop being used six months in.

Where this came from

We built this once, in production, before we ever wrote it down.

COGNI.BUILD is not a framework somebody invented on a whiteboard. It came out of a working assistant, shipped inside a real product with real customers and real permission rules — then generalized so it could be moved to another product without starting over.

Then we did the uncomfortable part: we graded the original system against our own specification, in writing. Some of it passed. Some of it was partial. And in four places the specification turned out to be wrong rather than the code — so we changed the specification.

We would rather show you the scorecard than the sales deck.

If you already tried this once

You already have an assistant. It isn’t good enough.

This is the most common situation we walk into: something got built, it demos fine, and nobody quite trusts it. It works well enough to be awkward to replace and badly enough that it needs replacing.

That is usually not a technical problem. It is that no one can prove whether a change makes it better, and no one wants to be the person who says the current one isn’t working.

  1. 01
    Run both, side by side

    Same questions, both assistants, nobody switched over. No risk, and it produces the comparison every later conversation needs.

  2. 02
    Score them on real questions

    We build the question set from what your users actually asked the existing one. Its answers become the bar to beat.

  3. 03
    Move one place first

    The screen with the clearest owner — not the busiest one. Everything else stays exactly where it is.

  4. 04
    Retire the old one in public

    With the comparison on the table, so the decision is settled once instead of relitigated every quarter.

How we work

Two ways to start. Both of them small.

You bring the product and the customer problem. We do the work required to make the first one useful, safe and maintainable — and we stay with it after it goes live.

Start here if you have nothing yet

A managed first launch

One workflow, built into your product, launched and then managed. Not a prototype you have to finish yourself.

Scope
One workflow, one screen, one group of users
Typical time to live
Six to eight weeks
What you provide
The workflow, access to the information, one decision-maker
What you get
A working feature, the question set behind it, and a team that keeps it working
  1. Weeks 1–2One workflow, one screen, ten real users. We resist adding a second of anything.
  2. Weeks 3–4Fifty real questions from those ten people become the quality bar.
  3. Weeks 5–6Permissions, evidence and approvals wired to your existing rules.
  4. Weeks 7–8Live with your team, measured, and watched.
Start a managed launch ↓
Start here if something already exists

An assessment

We look at the assistant you already have and tell you, in writing, what is wrong with it and what to fix first.

Scope
Your existing assistant, scored against the whole checklist
Typical time
Two weeks
What you provide
A walkthrough, and someone who can answer questions about it
What you get
A ranked plan, in dependency order, with effort estimates
  • What is already right — so you stop paying to rebuild it
  • What is partly there and what it would take to finish
  • What is missing, ranked by value per day of effort
  • What gets more expensive the longer you wait, and by how much
Get an assessment ↓
How to pick the first oneThe best starting point happens often, has a clear outcome, and depends on something your product already knows.Score one workflow in three minutes →Explore AI integration for your SaaS product →Estimate your AI operating budget →
  • Customers keep asking the same question about their own account
  • Your team keeps preparing the same kind of summary or follow-up
  • People miss a feature because nobody tells them it applies to them
  • A manual handoff slows down an otherwise good experience

Tell us where people get stuck

Show us your product. We’ll show you the first thing worth building.

A few questions, and no sales sequence afterwards. We read every one of these and come back with a specific opinion about your product — not a brochure.

  • A reply from a person, usually within one business day
  • A view on whether this is worth doing for you at all
  • No obligation, and no drip campaign

Prefer email? [email protected]