← How we engage

Extends Managed OI

AI Apps

Not every role belongs in the ops workspace. We build shopfloor, vendor, and field apps with Zipdata as the backend — so new user groups feed Operational Intelligence without a second system of record.

The question

Which roles sit outside your systems today — and what would change if their work landed in the live picture automatically?

We design the audience-facing app and the workspace behind it together: which Entities hold the truth, who may write, what agents prepare next, and how approvals stay on the platform side.

What this adds to OI

New user groups contribute to — and receive from — Operational Intelligence without living in the ops console. One governed backend; the right thin client for each role.

In practice

What this looks like for a real client.

A manufacturer needs shopfloor operators to log inspections and holds, and suppliers to confirm ETAs and upload certs — without giving either group a full ERP seat. We ship focused apps: capture and status on mobile or web, Zipdata workspace as the system of record. Agents watch the new Entities, briefings include shopfloor and supplier signal, and consequential writes stay governed. The same pattern covers vendor portals, field audit apps, and customer self-service — new roles enter the OI loop by design.

How it works

Designed as part of your Managed OI engagement.

01

Name the role into OI

We define who uses the app, what they must capture or see, and which watches, briefings, or agents should consume their signal.

02

Model truth in the workspace

Typed Entities become the single source of truth. No parallel database, no sync drift between the app and ops.

03

Ship the thin client

Focused UI — shopfloor, vendor, or field — connected through the secured API. Permissions enforced server-side.

04

Connect agents and pilot

Agents enrich and act on the new records. We pilot with real users on both sides — app audience and OI operators — then stay on as the surface expands.

Role of AI

Not a generic chatbot. Specific techniques, applied to specific data.

Agents on the workspace handle work that should not live in the thin client — extraction, matching, drafting, routing. Entities store the governed record. The secured API exposes only what each role needs to read or submit, without bypassing audit.

Selected engagements

Not slides. Shipped work, running in production.

What you get

Shipped into your OI engagement

  • App brief: audience, entities, API contract, and permissions
  • Workspace entity model wired for the new role
  • Production thin-client app on the secured platform API
  • Pilot plan and operating notes for the OI team

What we need

What we need from your team to begin

  • Target audience and the ops owners who will use their data
  • What the app must read or write, and approval rules for writes
  • Brand and channel requirements for the client surface
  • Pilot group on both the app and OI operator sides

Timeline

A practical delivery cadence, not an open-ended discovery.

Week 1

Role, entities, and API scope

Workflow mapping, entity model, read/write contract, and wireframes. Working schema by Friday.

Weeks 2-4

Workspace and app build

Entity provisioning, agent hooks, API bindings, thin-client UI, and internal testing on live records.

Weeks 5-6

Pilot inside OI

Real users on the app; ops consuming the signal in briefings and watches. Fixes and expansion plan.

Industries

Where we have delivered this service.

Manufacturing

Shop-floor inspection apps, quality hold review, vendor self-service, shift handover

CPG & Retail

Field auditing apps, loyalty portals, in-store visibility capture

Pharma

Field force reporting, invoice capture portals, pharmacy master-data apps

Good fit

When this service is the right answer

  • Shopfloor, vendor, or field roles that should feed Managed OI
  • Capture apps that pair with Automations & Ingest pipelines
  • Portals where data must live in the platform, not a separate backend

Honest call

When this is not the right choice

  • The workflow is purely internal — Sources and Agents already cover it
  • A standard SaaS already solves most of the need
  • You need a consumer app at massive scale with offline-first requirements

Start the engagement

Start with the role that sits outside your live picture today.

We scope this as part of Managed Operational Intelligence — deliver a working result in weeks, and stay on so the picture keeps getting sharper after go-live.

What is OI? →