AI Features

Add AI features your customers actually use.

LLM features, agents and search inside the product you already have. We help you pick the ones worth building, ship them, and prove they work, without hiring a data science team.

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20 minutes. Walk away with your first quick win.
What we build

AI features for SaaS, inside the product you have.

01

LLM features

Drafting, summarizing, classifying and extracting, built into the workflows your customers already use.

02

AI agents

Agents that take multi-step actions in your product, with limits, logging and a human check where it matters.

03

Search and retrieval

Answers grounded in your customers' own data, so the AI cites what it knows instead of guessing.

04

Evals and monitoring

Tests that show whether a feature is right before it ships, alerts when it drifts after, and the figure-8 loop, which turns new failures into new tests.

How it works

From idea to shipped feature in weeks.

✓Pick the feature: we look at your product and customers and rank AI ideas by value and cost.
✓Spec it: inputs, outputs, failure cases and how you will know it works.
✓Build it with your team, on your stack, with tests your engineers can run.
✓Measure adoption and cost after launch, and cut what customers don't use.
Related

Often paired with.

01

Fractional CTO

Architecture and model choices owned by someone senior.

02

Fractional CPO

Which AI features to build, and how to price them.

03

AI Code Factory

Supervised AI coding agents that speed up the build.

Common questions

Before you ask.

Do we need a data science team to add AI features?

No. Most AI features today are built on hosted models plus your own data and good engineering. Your existing engineers can own them once they are set up.

Should we build or buy AI features?

Buy when a vendor already solves the problem well and the data can leave your product. Build when the feature is core to what customers pay you for. We help you make that call per feature.

How do we know an AI feature works?

With evals: a set of real examples and expected results the feature is tested against before each release. We set them up with the feature, so quality doesn't depend on someone eyeballing outputs.

What does it cost?

Our advisory hours are month to month: 5 hours a week for $3,500, 10 for $6,500, or 20 for $11,500. Model usage bills to your own provider account.

Get your free AI audit.

Twenty minutes, and we are honest about where AI helps your business and where it doesn't. If there's nothing worth building yet, we'll tell you.

Book your free AI audit