AI that does real work inside the systems you already run.

We take one workflow that costs your team real hours, build the agents that run it inside the tools you already use, and keep a person's approval on every action that matters. The engagement comes first; the platform grows out of the work.

First workflow live in 4–6 weeks Human approval on every action Runs in your stack, not ours
What we do

Three things you should expect from an AI engagement.

01

Find the waste first

We map one real workflow end to end before writing any code. You keep a written account of where the manual hours, the rework, and the handoff delays actually sit, whether or not you go on to hire us.

02

Ship inside your tools

Agents work against the systems you already pay for: CRM, ticketing, warehouse, inbox. Nobody has to learn a new interface, and the first workflow reaches production in four to six weeks.

03

Keep the veto

Every consequential step waits for a named person. Approvals, overrides, and a full record of what the agent read and did are built in from the first workflow rather than bolted on after an incident.

How it works

Four weeks to a mapped workflow. Six to a live one.

Four stages, every time. Each has an owner on your side and produces something written that you keep.

WEEK 1

Map

We sit with the people doing the work and document every step, system, and exception. You keep the map.

WEEK 2

Scope

Together we pick the slice worth automating and the steps that should stay with a person. Fixed scope and fixed price, agreed before anyone builds.

WEEKS 3–5

Build

Agents wired into your systems, with approval gates and logging from the first commit, and a weekly demo on your real data.

WEEK 6+

Run

Running with your team and measured against the baseline from week one. We hand over the runbook and stay on for support.

Built and running

One we built: an SMS concierge for hotels.

It answers guests directly, acts in the property's own systems, and stops where the front office draws the line. It is one build of several; the pattern underneath it is what we bring to any workflow.

Room 412 · SMS
run 4182 · late checkout T+0.00s Streaming
Your rules are on human-in-the-loop
Full trace retained Every prompt + response logged Rollback available
Read

It reads the request and the records you connect it to, and nothing else, through credentials your team can revoke.

Decide

You draw the line. Anything with money, capacity, or reputation attached waits for a named person before it goes anywhere.

Act

Nothing is sent or written until someone clears it, so a request that is still pending never turns into a promise you have to keep.

Illustrative console, taken from our own build with guest and property details replaced.

The concierge is one build. The work underneath it is what we do everywhere else: mapping the process, designing the AI-enabled workflow, putting agents inside your systems, retrieving answers from your own documents, and the governance that makes any of it safe to run.

Process streamlining AI-enabled workflows Agents in your systems Retrieval over your docs Governance & audit
How we run

The same standards, whatever the workflow.

Whatever we build runs inside your systems, under your rules, with a record of every action it takes.

Scope

Whole workflows, not single tasks

We take a process from intake to resolution: the judgement calls, the system updates, and the exceptions that used to land on somebody's desk.

Systems

Connected to the tools you already pay for

CRM, ERP, ticketing, warehouse, inbox. Every connection runs on credentials your team issues, scopes, and can revoke at any time.

Security

SOC 2 Type II in progress

Your data stays in your tenancy and is never used to train a model. Every run leaves an audit trail, and our sub-processor list is available on request.