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THE WORK BETWEEN THE TOOLS

What are
Managed AI
Workflows?

A managed AI workflow uses AI to carry out a defined business process, with the information it needs, checks on its output and people responsible for the result.

FROM REQUEST TO RELIABLE RESULTMANAGED
Your systems
Your knowledge
Your people
The right context. Every time.

Business rules, approved information and a clear definition of done.

Company standardsTask instructionsPermissions
01 / AI does the workDefined steps · selected tools
02 / Review gateChecks · human approval
Approved work, delivered.Back into your workflow ↗
Measure the result. Improve the system. Repeat.
A managed workflow has an owner at every step.
A PRACTICAL EXAMPLE

From an incoming request
to an approved response.

A customer asks for a quote. A managed workflow finds the right account, checks the request against your product information, drafts a response using approved pricing rules and sends it to the responsible person for review.

Once approved, the response can move into the system your team already uses. The workflow records what happened, surfaces missing information and makes it possible to see where time was saved—or where it still needs work.

The AI is one part of that process. The surrounding context, integration, review and accountability make it useful as a business system.

THE FOUNDATION

Four things every business
using AI needs to get right.

01 / CONTEXT

Give AI the
whole picture.

Use current business information, clear instructions and the right permissions for each task.

02 / CONTROL

Decide what
needs approval.

Define where automation can act and where a person must review a result or an exception.

03 / OWNERSHIP

Know who
is responsible.

Make failures visible, name an owner and document how the team can recover.

04 / IMPROVEMENT

Improve from
real evidence.

Track useful outcomes and review changes before introducing them to the live workflow.

Why a good prompt
isn't enough over time.

Individual AI experiments often work because one person remembers the missing context, catches the mistakes and moves the result into the next system. As more people and more tools get involved, that informal process becomes hard to repeat.

New models and capabilities arrive weekly. A promising update can change cost, behavior or compatibility. Someone needs to evaluate those changes against your actual work, keep instructions current and decide what is ready to use.

We make those responsibilities explicit. Your company gets an understandable architecture, a team that knows how to work with it and a way to improve without starting over whenever the tools change.

Managed doesn't mean
you lose control.

You choose who builds, who operates and how much your team learns along the way.

01 / DO IT YOURSELF

Build it with
a better foundation.

For builders who want the knowledge, architecture and source code to own their AI workflows.

$2,500 DIY starting package
  • AI workflow courses and implementation guidance
  • Factory Line architecture and factories with source
  • Weekly workshops available for questions and feedback
Explore DIY
03 / DONE FOR YOU

Move forward.
We'll own the foundation.

For companies that want an experienced partner to manage core AI workflows and implementation.

Managed for you scoped proposal
  • Everything in DIY and DWY
  • Operational and administrative ownership
  • Major implementation decisions managed
  • Your choice of involvement and knowledge transfer
Explore DFY
START WITH YOUR WORK

Where is your team
doing too much by hand?

Bring a process, a bottleneck, or an idea. We'll help you decide what to automate, what to keep under human review, and where to begin.