demystified.ai

How it works

Start with one workflow and a business case.

Follow one workflow with the people who run it. Measure the current process, then test whether a redesigned system improves it enough to justify the cost.

We start with your existing tools. The Map shows what can connect, what needs to change, and what should stay in human hands.

Map the work. Build what holds up.

Start with one workflow and a baseline. Agree the scope and price before each stage. You can stop after the Map.

  1. AI Opportunity Map

    Follow the current work, measure its time and cost, and choose the first pilot.

    You bring
    A workflow owner, recent examples, and the tools your team uses.
    You get
    A workflow map with delays, systems, information, access, and human review points. An assessment of AI feasibility, likely operating effect, build complexity, and the recommended pilot.

    Do the numbers justify building a pilot?

  2. Production Pilot

    Redesign one workflow, connect the required systems, build it, and run it with your team.

    You bring
    One workflow, a baseline, test examples, and approved access.
    You get
    A working system, failure tests, human review, and a comparison with the baseline that includes staff effort and running costs.

    Does it work well enough, and do the economics hold?

  3. Expansion

    Extend what proves useful to more teams, adjacent workflows, or higher volumes.

    You bring
    Evidence from the pilot and the next business priority.
    You get
    A rollout scope with a budget and owner. More systems or autonomy only where reliability supports it.

    What has earned a larger role?

  4. AI Operations

    Keep the deployed system useful as models, costs, and your company's work change.

    You bring
    The operating system and the coverage your team needs.
    You get
    A separate agreement covering monitoring, failure review, changes, permissions, cost checks, and staff adoption.

    Who owns what after launch?

I'll need a workflow owner, examples of the work, and access agreed with your team.

See controls & ownership

Put a request through its paces.

Choose a workflow. Follow the work, check the human decisions, then throw a missing detail at it. This is an illustrative walkthrough; your systems and baseline shape the build.

See the full quote workflow, before and after

Before

  1. Request arrives
  2. Someone hunts for context
  3. Information is copied between systemsWhy is this happening twice?
  4. Someone drafts the response
  5. Manager reviews itThe queue has a queue.
  6. Someone updates the source system

Redesigned

  1. Request arrives
  2. System gathers approved contextOnly the records and systems this workflow needs.
  3. AI prepares the work
  4. Human reviews price and termsThis decision stays with a person.
  5. Approved action updates the source system

Missing context? Ask the owner.
Connection fails? Use the manual process.

What changes in the quote example?

People stop repeating the lookup and data entry. The system prepares a draft with sources, then waits for approval. Compare completion time, review effort, errors, and running cost with the original process.

See controls & ownership

Before a pilot, agree the test.

A useful demonstration is only the start. Write down what would justify putting this workflow into regular use.

The baseline

How often does this happen? Count handling time, waiting, errors, and the cost of today's workaround.

The full cost

Include the build, subscriptions, usage, maintenance, and the people still reviewing the work. Capacity only becomes cash savings when spending decreases.

The boundary

Name the owner, approved data, human decisions, failure path, and what the pilot is allowed to change.

The decision

Agree the test period and success threshold before starting. Use the results to expand, revise, or stop.

Talk through the first workflow

Bring a workflow that's slowing the team down.

In a 30-minute call, we'll walk through a recent example and decide what to explore next. If the economics or access don't support a build, I'll say so.

Talk with Kyleor come build in Build Lab