AI Automation & Workflow Agents
Someone on your team is still doing a repetitive task by hand. We automate it around the tools you already use, not a new platform to learn.
Is this you?
- Someone on your team does the same repetitive task dozens of times a week by hand
- Leads, tickets or invoices pile up faster than anyone can process them properly
- You have looked at Zapier-style tools and they still fall short of what you actually need
- You want it watched and logged, not a black box you have to trust blindly
How we solve it
We look at the specific task, how often it happens and how much judgement it actually needs, then tell you honestly whether removing the person from it is worth doing at all.
A narrow agent connected to your existing tools, with a human checkpoint wherever the stakes are high. Every run logged, so the work gets done without you having to watch it happen.
What’s included
- One real workflow, automated end to end across your existing tools
- Narrow agents scoped to a clear task, not open-ended access
- A human checkpoint wherever a mistake would actually cost you something
- Every run logged, every failure surfaced, nothing silent
- Full ownership of the code and accounts, no lock-in
Where this tends to pay off
- Lead intake, qualification and CRM data entry
- Support tickets triaged, tagged and routed automatically
- Invoices, receipts and records extracted from documents
- Reports assembled from several systems on a schedule
- Follow-ups and reminders sent without someone tracking them
- Internal knowledge base turned into an answer-ready chatbot
Connected to the tools you already use
The goal is fewer new tools, not more. Most automations sit across whatever you already run, these are the ones we connect to most often.
Gmail
Slack
Notion
Google Sheets
HubSpotVisibility over blind trust
Every automated run is logged somewhere you can see it. If something fails, it fails loudly and gets flagged, not silently, three weeks before someone notices the reports have been wrong the whole time.
Narrow agents, scoped to one clear task, with a human checkpoint wherever a mistake would actually cost you something, that is what keeps automation reliable instead of risky.
Before you
commit.
See all services Software that takes a repetitive, rule-based piece of someone’s job and does it without a person triggering each step, using AI where judgement or unstructured data is involved and plain code where it is not. A lot of what gets called AI automation is mostly ordinary automation with one AI step doing the part a spreadsheet formula could never do, reading a messy email, extracting a field from a scanned document, deciding which category something falls into.
Automation works on your existing business, connecting the tools you already use so a repetitive process runs itself. An AI SaaS product is new software you would sell or run as your own platform. If you are trying to save time on something your team does today, that is automation, this page. If you are building a product with AI inside it, that is covered on our AI SaaS development page instead.
For a scoped, well-defined action, yes, and that is deliberately how we build them. An agent with a narrow job, updating a record, drafting a reply, categorising a ticket, is reliable because there is a small number of ways it can go wrong. An agent given an open-ended goal and broad access is not, so we do not build those. Anything with real financial or customer consequences gets a human checkpoint before it commits.
Most CRMs, support desks, spreadsheets, email, and anything with an API or a way to move data in and out, which by now is nearly everything. We look at what you already run before proposing anything, the goal is fewer new tools, not more.
By the workflow. We look at the specific process, agree what counts as done, and quote a fixed price for automating it. Ongoing monitoring or extending it to a second process is a separate, optional conversation, not something bundled into an unclear retainer.
It is visible immediately rather than discovered a month later, every run is logged and failures are surfaced, not swallowed. Where a mistake would be costly, a person reviews before anything commits. Where it would not, the system fixes itself on the next run and you can see exactly what happened either way.
No. You own the code and the accounts either way, but most clients leave the ongoing running to us on a support arrangement rather than hiring for it. If you do have a developer, they inherit clean, documented automations rather than a black box.
Based on 100+ successful projects
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