MessyOrg

Discover

AI strategy & use-case discovery

Work out where AI is genuinely worth applying in your business, and where it isn't, before anything gets built.

Discover
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Illustrative technology work scene using MessyOrg’s public website and planning materials

The problem this solves

Most organizations don't lack AI ideas. They lack a way to tell which ideas are worth building, which are already solved by a tool they own, and which would create more work than they remove.

What the work involves

  • Walk through how work currently moves through your team, including the spreadsheets and manual steps nobody documents.
  • Identify the processes where AI or automation changes the outcome, not just the interface.
  • Rule out the ideas that look attractive but depend on data you don't have or decisions you can't delegate.
  • Sequence what's left so the first thing built is the thing that pays for the next.

What you end up with

  • A written shortlist of use cases, each with the problem it solves and what it depends on.
  • A recommended starting point, with the reasoning behind it.
  • An honest list of what we'd advise against, and why.

A good fit if

  • You've been asked to "do something with AI" and need a defensible plan.
  • You have several competing ideas and one budget.
  • You want to know the cost of a project before committing to it.

Pricing

Clear starting points. Custom scopes.

MessyOrg publishes starting points so organizations can understand the approximate level of investment before beginning a conversation. Final scope and investment are determined after we understand the problem, integrations, complexity, security requirements, timeline and desired outcome.

Get a scoped quote

How we engineer it

Practices we use at every stage.

The same practices we use on our own internal builds, following the six stages of how we work. Highlighted stages matter most for this service.

  1. 01 Discover

    Key stage
    • Mapping existing tools, data and manual steps before proposing changes
    • Writing the problem down in plain language before choosing technology

  2. 02 Design

    • Planning data, user roles and permissions up front
    • Designing screens that work on phones as well as desktops

  3. 03 Build

    • Secure sign-in with role-based access
    • Database rules that keep each customer's records private
    • Connecting payments, email and outside services

  4. 04 Verify

    • Automated tests for pricing, permissions and key workflows
    • Security and production-readiness reviews before launch
    • Payments tested in test mode before going live

  5. 05 Launch

    • Custom domains, page titles and search basics set up
    • Written handoff notes and walkthroughs for your team

  6. 06 Care

    • Usage limits and spending caps on AI features
    • Error monitoring and a clear process for fixes
How we work

Also available

Other ways we get involved.

Build

Lovable implementation

Design and build working applications on Lovable, with the integration, data and production work that comes after the first version.

Build

Internal tools & applications

Replace the spreadsheets, shared documents and manual handovers that your operation quietly depends on.

Connect

API & system integrations

Make the systems that hold related information talk to each other, reliably and in one direction of truth.

Is this your mess?

Tell us what's going on and we'll recommend next steps.

Start a projectSee how we work