System 01
Agent operations
Routine steps run on their own. Anything that needs judgment stops and waits for a person.
Document intakeRouting rulesHuman approvalStatus tracking
AI strategy and implementation experts
We build agentic systems that turn chaos into clarity.
The best of strategy consulting, paired with hands-on engineering. We scope where AI belongs in your business, build systems your people can rely on, and stay through adoption.
- 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
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.
System 02
Trusted knowledge
Every answer shows the document it came from, so your people can check it before it goes out.
Source-checked answersRetrieval rulesDocument librariesAccess controls
System 03
Client portals
Clients see what you have received and what happens next. No status email required.
Secure uploadClient accessReview queuePublishing controls
How we work
You know the work. We know the tools.
Strategy and engineering in one team, from the first conversation to the system your people run.
About usWatch an agent take a document from intake to sign-off.
The agent reads what comes in, checks it against sources your team approved, and hands the judgment call to a person.
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 one like this for your team?
Most AI engagements end with a strategy deck.
Ours end with agents that still work for you after we've gone.
Reviewing intake at 7am. Answering from sources your team approved. Telling your clients what happens next.
The deck was never the deliverable.
How an engagement runs.
Step 01. Decide
We map the work with the people who do it, then choose where AI pays off. You get a decision, not a slide deck.
Step 02. Build
We build inside your tools, alongside the people who will use the system.
Step 03. Operate
Every system gets an owner, a readable runbook and scheduled checks. We train your team and stay through adoption.
Selected work.
256old web addresses accounted for in the move
Two distinct brands, one connected platform.
13client workspaces on one knowledge system
A shared system for repeat client analysis.
1,457listings checked against providers' own websites
A statewide services directory, checked against its sources.
Have a project like these?
What ships with every system
How a system stays trustworthy after we leave.
Not a certificate. A set of practices that ship with every build.
Built in your environment
Your infrastructure, 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 answers for it.
Documentation a human can read
Written for the team that runs it.
Review points that catch drift
Scheduled checks catch output that starts to slip.
A written safety contract
The agent's limits, signed before it starts.
We run our own business on the systems we sell: production AI agents on schedule, each with a written safety contract.
Foregrounds for Good
Reduced rates for mission-driven organizations.
Small nonprofit teams deserve thoughtful technology and the support to use it well.
Foregrounds for GoodStart 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