AI agents

AI agent workshops, advice and hands-on delivery

If your team is curious about agents but unsure where to start, we can work through the possibilities together. If you already have a process in mind, we can help design, build and run it.

The work can begin with a workshop, a review of an existing experiment or a small implementation. We will look at the people doing the work, the systems they use and the decisions that still need a human.

The interesting questions tend to appear once an agent meets real work. What information can it see? When should it stop and ask someone? Who notices when its answer is wrong? We work through those details early.

Good fit

Teams with repeated work spread across documents, inboxes and business systems
Leaders who want to test an idea before committing to a larger build
Product teams adding an agent to a service their customers already use

Included

Workshops, technical advice and use-case assessment
Prototypes, integrations and workflow implementation
Permissions, approvals, evaluation and ongoing improvement

Outcome

A useful first step with a clear owner
Less time spent moving information between systems
A workflow your team can inspect, correct and improve

Ways we can help

You can bring us a rough idea, a process that takes too long or an agent that has already been built. We will meet you where the work actually is.

Workshops with the people doing the work

We map a real task from start to finish, including handoffs, missing information and the exceptions people handle by instinct. You leave with a shortlist of opportunities, an honest view of the risks and a sensible first experiment. It is useful for leadership teams and for the staff who will live with the result.

Advice before a larger commitment

We can review a proposal, prototype or supplier plan with you. We look at where the data comes from, what the model can access, how much each run might cost and who owns the system after launch. If a team is already building, we can help them make the architecture and delivery decisions that are slowing them down.

Automation across your existing systems

A useful agent might gather information from a shared inbox, check it against a CRM record and prepare a response for someone to approve. Another might read an incoming document, flag missing details and create a draft record. We connect the steps to the tools your team already uses and keep the approval point where it matters.

Agents inside products and operations

We design and build internal assistants, support tools and customer-facing features that can retrieve relevant context and take a limited set of actions. This includes the interface, integrations, permissions and the less glamorous work of handling a failed tool call or an ambiguous request.

A second look at something already running

If an agent is slow, expensive or getting things wrong, we can trace the workflow and find out why. The fix might be better source data, a narrower task, clearer instructions, fewer tool calls or a human review step. We can also help teams working with OpenClaw or Hermes assess whether their current setup suits the job.

What delivery looks like

We start small enough to learn quickly, then expand only when the evidence supports it.

Pick a job and agree what good looks like

We look at a sample of real work, agree what success means and record the cases that need a person. That gives us a baseline for time saved, accuracy and the effort involved in checking the output.

Build and test in your environment

We connect only the systems the workflow needs, use the least access it can work with and test ordinary cases alongside awkward ones. Drafts and read-only access are often the right starting point before an agent is allowed to change a record or send a message.

Hand it over in a form your team can run

We document the decisions, make failures visible and show people how to correct or pause the workflow. We review usage and cost after launch so you know whether to extend it, change it or stop.

Tell us what your team is trying to get done

Start with a short conversation about the problem and whether this is the right fit.

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Useful Articles

For a closer look at the practical decisions behind an agent project, these articles are a good place to start. why business AI assistants often stall, what makes a useful AI agent system and when an agent is not the right shape at all.