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AI strategy and hands-on engineering

We build agentic systems that turn chaos into clarity.

The best of strategy consulting, paired with hands-on engineering. We find where AI pays off in your week, build inside the tools you already use, and stay until your people run the system.

  • Strategy
  • Agents
  • Knowledge
  • Product

Recent engagements

A consumer subscription app growth consultancyA digital marketing strategy firmA statewide nonprofit resource networkA global mobility law practiceAn AmLaw 100 law firm

Clients across North America, the Caribbean, the Middle East, and Southeast Asia.

What we build

The systems we build.

Software that works inside the tools you already pay for, with a person on your team in charge.

System 01

Agent operations

Routine steps run on their own. Anything that needs a judgment call waits for a person on your team.

Document intakeRouting rulesHuman approvalStatus tracking

System 02

Trusted knowledge

Every answer shows the document it came from, so your people can check it before it goes out.

Cited answersSearch rulesDocument librariesAccess permissions

System 03

Client portals

Clients see what you have received and what happens next, without sending a status email.

Secure uploadClient loginReview queuePublishing rules

How we work

You know the work. We know the tools.

You work directly with the strategists and engineers who scope the project, write the code, and train your team.

Meet the team

How an agent works with your team.

Watch an incoming engagement letter get read, checked against sources your team approved, and handed to a reviewer.

An animation of an agent-operations system: a new document arrives in the intake queue, an agent reads it and checks it against three sources the team has approved, a reviewer approves it, and the client portal updates to say the engagement letter is ready to sign.

Want a workflow like this for your team?

Most AI engagements end with a strategy deck.

Ours end with systems your team runs every day.

Reviewing intake at 7am. Answering from sources your team approved. Telling your clients what happens next.

The deck was never the deliverable.

How we work together.

Three clear steps from ranking your ideas to a working system your own people run.

Step 01. Decide

We learn how your team works, rank your ideas by effort and value, and show you where AI pays off. You get one clear decision to fund.

Step 02. Build

We build inside the tools you already use, alongside the people who will run the system.

Step 03. Operate

We train your team on live work, hand over a clear guide, and set up regular checks so the system stays reliable.

Staying in control

What ships with every system we build.

Not a certificate. Six practical safeguards that ship with every system we hand over.

  • Built in your environment

    Runs on your systems, under your own access rules.

  • Approved sources only

    It reads only the documents you clear for it.

  • A named owner

    One person on your team owns it and knows how it runs.

  • A readable runbook

    Clear instructions written for the people who use it.

  • Scheduled quality checks

    Regular reviews catch answers that start to slip.

  • A written safety contract

    We agree on the agent's limits in writing before it runs.

We run our own business on the systems we build: production AI agents on a set schedule, each with its limits agreed in writing.

Foregrounds for Good

Reduced rates for mission-driven organizations.

Small nonprofit teams deserve thoughtful tools and the support to use them well.

Foregrounds for Good

Start withthe businessproblem.

Thirty minutes. Tell us what's slow or manual today, and we'll tell you honestly whether we can fix it.

30 minutes