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 firm, build systems your people can rely on, and stay through adoption.
Recent engagements
An AmLaw 100 law firmA global mobility law practiceA consumer subscription app growth consultancyA digital marketing strategy firmA statewide nonprofit resource network
An AmLaw 100 law firmA global mobility law practiceA consumer subscription app growth consultancyA digital marketing strategy firmA statewide nonprofit resource network
Clients across North America, the Caribbean, the Middle East, and Southeast Asia.
The systems we build.
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
Client portals
Clients see what you have received and what happens next. No status email required.
Secure uploadClient accessReview queuePublishing controls
Watch an agent take a document from intake to sign-off.
This is the kind of system we build. The agent reads what comes in, checks it against sources your firm approved, and hands the judgment call to a person. The same pattern runs client intake at a law firm, vendor onboarding in an operations team, new-hire paperwork in HR, or grant reporting at a nonprofit.
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 firm has approved, a reviewer approves it, and the client portal updates to say the engagement letter is ready to sign.
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 firm approved. Telling your clients what happens next.
The deck was never the deliverable.
How an engagement runs.
Step 01. Decide
We interview the people closest to the work, map what actually constrains it, and choose where the investment belongs. No 200-slide readout — a decision.
Step 02. Build
Forward-deployed engineering. We design, prototype, and ship alongside the people who will use the system, inside your environment.
Step 03. Operate
Every system gets an owner, documentation a human can read, and review points that catch drift. We train the team and stay through adoption.
Inside the build
AI strategy and opportunity design
We interview the people closest to the work and choose where the investment belongs.
Agentic systems and automation
Agents that do the routine steps and leave the judgment calls to your people.
Knowledge and document systems
Retrieval built on the sources your firm approved, so an answer can be checked.
Product and web engineering
The client-facing surfaces and the systems behind them.
Selected work.
The situation, the decisions and the systems delivered.
Two distinct brands, one connected platform.
One website became two distinct brand sites, with a cost calculator and weekly emails summarizing new inquiries.
A knowledge system built around trusted sources.
Client information, instructions for recurring AI tasks and a history of completed work brought together for a consultancy's team.
A statewide services directory, checked against its sources.
Reviewed service listings against providers' own websites and delivered records with the evidence behind each decision.
How a system stays trustworthy after we leave.
Not a certificate. A set of practices that ship with every build.
Built in your environment
The system runs on your infrastructure, under your firm's own access rules.
Approved sources only
The system reads the documents you cleared for it, and nothing outside them.
A named owner
One person inside your firm owns the system and answers for it.
Documentation a human can read
Written for the team that runs it, not for the people who built it.
Review points that catch drift
Scheduled checks on the output, so a system that starts slipping gets caught.
A written safety contract
The agent's limits, set down and signed before it touches anything.
We run our own firm on the systems we sell: production AI agents on schedule, each with a written safety contract.
The people who scope the work build it.
Start withthe businessproblem.
Thirty minutes. You describe what's slow, manual, or opaque today. We tell you honestly whether we're the right firm to fix it.
30 minutes