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Civware

AI features your customerscan rely on

Search, summaries, drafting and recommendations built into the software you sell. We design them with your product team so they fit how people already use your product, and test them before your customers see them.

Group
Build
First step
A pilot for one feature
You decide
Ship, adjust or drop it
Works with
Your product team and codebase

When it fits

Best when there is a clear user problem the feature solves. Adding AI for its own sake is the usual way these features fail.

  1. 01

    Your users search, read or write a lot inside your product, and some of it could be faster.

  2. 02

    Customers are asking for AI features, and you want to add one that actually gets used.

  3. 03

    Your team can build features, but wants help with testing, cost and model choice.

What we build

  1. 01Search that understands what users mean, not just the words they type.
  2. 02Summaries of long records, threads or documents, with links to the details.
  3. 03Drafting tools that give users a first version to edit.
  4. 04Recommendations based on what similar users found useful.
  5. 05Usage limits and cost tracking per customer or plan.
  6. 06Tests that run in your release process, so changes don't quietly break the feature.

How it works

An AI feature sits inside your product's existing screens, with a plain fallback when it's switched off.

  1. 01The feature works from the records the user can already see.
  2. 02Users can see what an AI result was built from, and say whether it helped.
  3. 03If the AI is off or slow, the product still works.
An AI summary inside your productA product screen with a search box, an AI summary panel and three records below it. The summary is built from the records the user can see, offers Helpful and Not helpful buttons, and the screen still works as plain search if the AI is off.FIG. 01AI INSIDE YOUR PRODUCTYOUR PRODUCTsearch ordersSUMMARYBUILT FROM THE RECORDS BELOWHelpfulNot helpful123IF THE AI IS OFF, SEARCH STILL WORKS
Fig. 01 An AI summary inside your product, built from records the user can already see, with feedback and a plain fallback.

Safeguards

In a product, problems reach every customer at once. These safeguards are built in from the start.

Showing one customer another's data
The feature only works with records the signed-in user is allowed to see.
Unpredictable costs
Usage limits and per-customer cost tracking are part of the build, not added later.
Results that change after a model update
A set of test cases runs before every release, so a change in quality is caught early.
Features users don't trust
Results show their sources where it matters, and users can flag ones that missed.
An AI provider outage
The product keeps working without the feature, and the feature can be switched off per customer.

How to start

First engagement · Pilot

One feature, built with your team

It delivers:

  • A working feature behind a switch, in a test environment
  • Tests that run in your release process
  • Cost estimates per user and per plan
  • A recommendation on whether to ship it
Price
Fixed, agreed before we start
Length
Usually 4 to 8 weeks
Decision pointAt the end, you decide: ship to a small group of customers, adjust, or drop it.
Book a call

Need help choosing the feature first? Start with AI Strategy & Readiness.

Questions

Do you work inside our codebase?

Usually, yes, alongside your engineers and following your review and release process.

Which model will the feature use?

The one that suits the feature's job and cost, chosen during the pilot and set up so it can be changed later.

How do we control costs as usage grows?

Limits and cost tracking are built in per customer or plan, so you can price the feature with confidence.

Can customers turn the feature off?

If you want them to. We usually recommend a per-customer switch for new AI features.

Tell us one job you'd like AI to do

We'll tell you honestly whether AI is the right fit, and what a sensible first step looks like.

One job is enough to start.

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