Sales & follow-up
Summarize inquiries, organize lead context, draft responses, and surface missing information before the next conversation.
Custom AI agents for your businessMore work done.
More work done.
Less on your plate.
Give the repetitive work a capable teammate. We build AI agents that use your business context, work with your tools, and turn requests into useful next steps.
GH / AGENT WORKSPACEInteractive example
The request
Give every good lead a next step.
A new inquiry came in. Review the project and prepare a follow-up.
Website inquiry + CRM record
A scripted preview of a workflow we can build for your team.
From request to reviewReady to try
- 01Read the inquiry
- 02Check project fit
- 03Draft the next step
- 04Ready for your review
Your result appears here
Choose a workflow and run the example to see how the agent organizes the task.
Start with the workOne well-built agent.
One well-built agent.
A little breathing room.
We start with a repeatable task that takes too much of your team's time, then design the agent around the way your business actually runs.
Client service & delivery
Organize requests, prepare project briefs, answer questions from approved documentation, and flag work that needs a person.
Operations & reporting
Turn notes into action items, prepare recurring reports, compare records, and keep the team informed about what needs attention.
Built into your businessThe useful part is
The useful part is
everything it connects.
An agent needs the right information, a defined job, and a clear place to put the result. We build those connections together.
01 / CONTEXT
What it knows
Your processes, approved documents, CRM records, and project history.
CRMDocumentsRequests
Your custom agent
Reads the context, follows the workflow, and prepares the next step.
03 / OUTPUT
What gets done
A useful draft, organized work item, report, or approved action in the right tool.
DraftsTasksReports
From idea to everyday useBuilt carefully.
Built carefully.
Useful daily.
We scope the workflow, connect the right systems, and test it with the people who will actually use it.
- 01
Pick the first job
Identify the repetitive task, define a good result, and choose how to measure whether the agent helps.
- 02
Connect the context
Map the data sources, tools, and access the agent needs. Keep its job and responsibilities explicit.
- 03
Build, test, refine
Run representative tasks, review the outputs with your team, and tune the workflow before rollout.
- 04
Put it to work
Launch with clear review points, activity visibility, and an agreed plan for monitoring and improvements.
Before we build.
Is this just a chatbot?
It can include chat, but the goal is useful work. An agent can combine business context and connected tools to prepare a brief, update a workflow, or produce a report.
Can it use our existing software?
We review your tools during scoping and confirm available integrations and access requirements. The connections we agree on become part of the build.
How much control do we have?
We define which actions can run automatically and which should come back to your team for review. You'll know what the agent is doing and where to step in.
What does a project cost?
Cost depends on the task, integrations, data preparation, and support required. We define the build scope and ongoing model or platform costs before you commit.
Let's build something useful.
Keep exploringMotion graphics that make your message moveWhat would you love to take off your plate?
Tell us about the work that keeps repeating. We'll help you find a useful place to start.
Start a conversation