CUSTOM AI

Tools built around your operations.

When off-the-shelf tools don’t fit, we design a practical AI application that does.

ILLUSTRATIVEDiscoveryProblem + dataPrototypeTest with real examplesIntegrateConnect systemsDeployLaunch + monitor

The problem, and our approach

THE PROBLEM

Generic software forces your process to bend around it, and valuable knowledge sits in documents nobody can search.

OUR APPROACH

We prototype quickly, evaluate quality against your real examples, and only then integrate and deploy.

How it works in practice

Document assistants

Ask questions across contracts, manuals and notes, with sources shown.

  • Citations to source text
  • Access controls
ILLUSTRATIVE
DateAmountPartyRenewal

Extracted facts are flagged for human review.

Internal tools

Small applications that automate a specific team task.

  • Built around your steps
  • Simple interfaces
ILLUSTRATIVE
Internal tool · demo
Summarize this client file
Summary ready. 3 items need review.

Evaluation before launch

We test with real examples and agree on what “good enough” means.

  • Test sets
  • Clear success measures
ILLUSTRATIVESample evaluation scores

Where it fits

  • A document assistant for a professional firm.
  • Search across SOPs and manuals.
  • Internal tools that connect to your systems by API.

Possible integrations (confirmed during discovery):

APIsDatabasesCloud storageEmail

Built with trust in mind

HUMAN REVIEW

High-impact outputs are reviewed by people, and evaluation results are shared before launch.

PRIVACY BY DESIGN

We discuss access, data minimization and provider data practices before implementation. We make no compliance claims we can’t verify.

HONEST LIMITS

AI can be wrong. We test outputs, set clear limits and tell you when simpler tools fit better.

A clear path from idea to impact

Discover

We learn your business, systems and goals.

Design

We pick the highest-value opportunity and a practical solution.

Implement

We configure, integrate, test and refine.

Optimize

We measure results and improve as needs evolve.

Scope, timing and support depend on the project.

Frequently asked questions

What does a custom AI project involve?

Discovery, prototyping, integration, evaluation and deployment, with checkpoints so you can review progress.

Can you start with a prototype?

Yes. A small prototype is a sensible way to test an idea before a full build.

Who owns what we build?

Ownership terms are agreed in writing at the start of a project.

Let’s find the right AI opportunity for your business.

Tell us what you want to improve. We’ll suggest a practical next step.