Custom AI agents
Purpose-built agents for defined tasks. Designed around your workflows, decision points, and operating limits.
CUSTOM AI AGENTS & SYSTEMS
Built for the
way you work.
Your business has its own moving parts.
Your AI should know how they fit together.
We design and build custom AI agents that connect your tools, move work forward, and keep people in control.
Purposeful engineering. Practical intelligence.
THE IRONWOOD APPROACHFIG. 01 / SYSTEM DESIGN
STRONG FOUNDATIONS. CONNECTED POSSIBILITIES.
Designed around your businessConnected to your systemsBuilt with human oversight
01 / PROPOSED SERVICES
Less friction.
More forward.
Good automation starts with understanding the work. These proposed service areas bring the pieces together into a system with a clear purpose.
Find your starting pointSystems that work together
Connect approved tools, applications, and data so your AI has the context to do useful work.
Support beyond the build
Evaluate behavior, maintain integrations, and help your team operate and improve the system as needs change.
02 / INTELLIGENCE IN PRACTICE
Start with a real piece of work.
A few ways a custom system could help.
Illustrative workflows, ready to explore.
ILLUSTRATIVE WORKFLOW
From incoming request
to a considered next step.
Gather the relevant context, prepare the work, and route the next action to the right person for approval.
THE OPPORTUNITY
Less time moving information.
More attention on the decision.
EXAMPLE / REQUEST HANDLING01—04
- 01Receive the requestA new request enters the workflow.
- 02Gather contextFind relevant information in approved tools.
- 03Prepare for approvalA person reviews the proposed action.
- 04Act and reportCarry out the authorized step and record it.
Concept walkthrough. No tools are connected or actions performed.
03 / HOW WE WORK
Clear steps.
Solid foundations.
From the first question to a working system,
each stage has a purpose.
- 01
Understand the work
Map the workflow, the people involved, and what a useful outcome looks like.
- 02
Design the system
Define the tools, permissions, approval points, and measures of success.
- 03
Build. Test. Refine.
Build a focused pilot. Evaluate the results and exceptions against agreed criteria.
- 04
Deploy with a plan
Prepare for operation, train your team, and plan ongoing review and maintenance.
04 / THE IRONWOOD STANDARD
Intelligence needs
structure.
Useful AI needs more than a good prompt. It needs boundaries, visibility, and people who know when to step in.
Founded by Aaron Campbell.
Built around practical systems engineering.
Defined permissions
Specify what the system can access and which actions it may take.
People at the decision points
Design approval and exception paths for work that needs human judgment.
Visible, reviewable work
Plan for activity records, evaluation, and supervision throughout the system's life.
A FEW USEFUL ANSWERS
Before we build.
Where should we start?
Start with one recurring workflow: what comes in, what your team does, which tools are involved, and where the work gets stuck. We can use that to define a useful first scope.
Do we need to replace our current tools?
The starting point is understanding the systems you already use. Integration options depend on available APIs, data access, permissions, and the workflow. Those details are assessed during design.
How much autonomy should an agent have?
That depends on the task and the consequence of an error. The design should identify what can happen automatically, what needs approval, and what should be escalated to a person.
What does a project cost?
Scope comes first. Tools, integrations, data requirements, evaluation, and support needs all affect the work. Commercial terms are defined for a specific engagement.
LET'S FIND YOUR STARTING POINT
What could work
better?
Tell us about the repetitive task, the disconnected tools, or the process that takes more effort than it should.
One workflow is a good place to begin.
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