Experiment
- Gofer build agent
- EAI Curate Data
- App preview
Describe it in a sentence. Enterprise AI builds it as a four-step app, with sign-in, permissions, hosting and security reviews already done.
Brand your apps. Build it for one client, then pick the next and the same app wears their colours and voice.
Move the sliders. Each new client takes about an hour: name them, check it, share it.
Assumes your time is worth $150 an hour, and about an hour for each new client.
Revenue from one build
$72,000
Meet Gofer, our process agent
Gofer is the Enterprise AI agent that maps how your client works today, across email, spreadsheets and phone calls. It cuts what isn’t needed and distils a complex process into a simple workflow, ready to build.
Try it on a real process
Gofer
Turns any process into four steps
Here’s how we get a campaign email out for Nike today:
That’s 12 steps across 6 tools, and 4 of them are re-typing or chasing. Here’s the same job in four:
Each feature is a switch, not a project. Switch one on and a step in your app gets faster and smarter, for every client this build serves.
12 real problems, and the AI feature that fixes each one.
AI builds fast. EAI Curate keeps you in control: one view of every workflow, the data behind it and the clients it serves, so you can see how it all connects.
The steps in Campaign email, the AI on each one and the data it reads.
Brief. A checklist makes sure nothing is missing before it starts, and the audience comes from Run Club members.csv.
Every step, and the AI and data it uses, on one map. Nothing hidden inside a prompt.
Tables, records and files in one place, with a search layer your AI reads from.
Each client has their own data, users and brand. Change the workflow once and every client gets it.
Bring your own AI
Your team may already have Claude, Codex or Cursor, and more people are building with them every day. Connect it to Enterprise AI, type /eai and describe the app. It lands in EAI as a four-step app, ready to sell.
npx install eaiYour team accesses your apps with the identity provider they already use.
Give each person the right access for their role and workspace.
Workspace-scoped access keeps each client’s work in its own space.
Each workspace is assigned a region that guides where its app traffic goes.
Review recorded actions with the person, time and affected resource.
Approve a tested version before it reaches your users.
Three kinds of team build on Enterprise AI. Each starts with one workflow.
Give client one a tailored result, keep an authorised delivery foundation, then adapt it for client two while confidential material stays contained.
For example: turn an authorised delivery method into a reusable foundation, with each client’s data kept separate.
Help teams find missing evidence, focus review effort and take the next authorised action from one case flow.
For example: move supplier evidence from intake to a review-ready case, with final approval kept with a named reviewer.
Combine reusable workflow capability with your product context, customer relationships and market expertise.
For example: add a controlled workflow to a customer journey, with integration, product and support responsibilities agreed before release.
NoteThese are illustrative workflows, not customer results. Named stories are published once their evidence, wording and customer permission are approved.
Pick a plan and how many credits you need each month.
Everything in Experiment, plus
Everything in Pro, plus
Everything in Team, plus
Build it once for one client. Make it right for the next one in a sentence.