Audit
We look at how the work actually happens. Repetitive tasks, bottlenecks, things people already hate doing. Sorted into now, later, and not realistic.
Automate
Automate the work you're doing by hand.
For any business, not just app teams. We start with a plain-English look at what's repetitive and worth fixing, then build the automation — a simple tool if that's enough, an agent workflow if it isn't. Powered by Hermes Agent, the same engine we run our own delivery on.
The path
Audit. Quick wins. Then the deeper agent work, if it earned it.
Most businesses don't need a platform. They need someone to say "do this first" — and then do it with them.
Quick wins
One to three high-impact, low-effort automations. A simple tool if that's enough. An agent workflow if it isn't. You should feel the difference within weeks.
Agent workflows
Once the quick wins hold, we take on the heavier processes — the ones that need judgement, multiple steps, or run on a schedule. This is where Hermes Agent does the work.
Train & retain
Role-specific use of AI in the work people already do — not a generic chatbot demo. Then we keep the automations alive as things change.
Concrete workflows
Things that already hurt, running without someone doing them by hand.
Some of these come from app teams. Most come from any business running a repeated process every week.
Customer / support triage
Pulls reviews, tickets, or emails, groups them, flags the urgent ones, routes the rest. Less inbox archaeology.
Reporting & release coordination
Watches a pipeline or a data source, gathers what's needed, posts the summary — instead of chasing it in a thread every week.
Document & data processing
Invoices, forms, spreadsheets — extracted, checked, and pushed into the system that actually needs the data.
CRM & data sync
Polls one system, transforms it, pushes it to another. The integration work nobody wants to do manually twice a week.
Research & monitoring
Recurring competitor, market, or lead research, summarised and delivered on a schedule — the thing someone's doing on a Sunday evening right now.
Your version of the above
If the pain is a repeated process with a clear output, it's a candidate. If it's a vague wish for "AI", the audit is the honest place to start.
How we talk about it
Proof is operational, not theoretical.
Most of our own delivery already runs through agents we operate — cloud work, client reporting, research. The human job is to orchestrate, review, and own the outcome. That's the same shape we build for clients.
Hermes Agent is the runtime underneath — open-source, provider-agnostic, messaging-capable (Slack, Teams, email, and more). You don't need to care about that name unless you want to. You care that the workflow runs, that you can see what it did, and that someone accountable is still attached to it.
We can host and run the workflow for you, or build it into your own infrastructure. That decision comes after the first one is real, not before.
Next
Start with the audit, or skip straight to a workflow you already know.
If you're already trying to build a new AI-native product rather than automate an existing process, that's the other offer.