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AI development / Agents & workflow automation

AI agents.
Connected to the work.

Design assistants around business tasks, the tools they need and the decisions people should retain.

Give an assistant a defined job.

An agent might gather information for a meeting, prepare a document for review, organize a service request or coordinate steps across business applications. The useful starting point is a task with clear inputs, permitted actions and a way to check the result.

We map the current workflow before deciding which parts need AI judgment and which should remain ordinary application logic. Predictable calculations, access checks and record updates need dependable implementation. AI can help interpret the request, work with context and decide how to use the available tools within those boundaries.

Memory, tools and a usable interface.

Our work on GearHead spans continuity across conversations, business context, tool use and visible controls. The user needs to understand what the assistant knows, what it has done and what still needs attention. A confirmation should reflect the actual result of an action.

For your project, we define the relevant history and knowledge, who can access it and how it stays current. We also plan how the user reviews drafts, corrects a misunderstanding or takes over when a task cannot be completed.

Handle the difficult requests.

People use shorthand, refer to earlier work and combine several requests in one sentence. A workflow needs a way to resolve the relevant records, ask for genuinely missing information and report partial completion clearly. A failed connection should not turn into a claimed success.

Evaluation uses representative tasks and failure scenarios, including unavailable services, uncertain matches and actions requiring approval. Scope includes how actions are recorded, how failures are surfaced and what ongoing monitoring the team needs.

Begin with a workflow you can evaluate.

Bring a recurring task and examples of the information involved. We can map the systems, identify the decision points and propose an initial scope. The proposal should make the intended behavior, acceptance criteria, operating costs and support responsibilities explicit.

Explore our own implementation.

GearHead brings business context, connected tools and workspace controls into a small-business assistant.

Inside GearHead →
Destination-page design preview. Final content, routing and GearHead editing are part of the implementation.
GearHead AI / Sanitized dashboard screenshot
Enlarged GearHead work dashboard

Product screenshot supplied by Paul or published on GearHead’s site. This preview is not connected to a live account.