AI Business Automation
We look at how work actually moves through your business, find the repetitive steps, and automate them with a mix of AI and plain integrations, whichever does the job best.
At a glance
- Timeline
- Discovery takes 1 to 2 weeks. A first set of automations usually goes live within 3 to 6 weeks.
- You get
- Process mapping workshop with your team
- Automation opportunity list ranked by hours saved
- Build of the first two or three automations
- Tools
- n8n, Make, or Zapier, OpenAI and Anthropic APIs, Custom Node or Python services, Your CRM and help desk APIs
- Price
- A fixed, written quote. Free to ask.
Page reviewed October 2026
What this covers
Most automation projects start with a tool: 'we should use AI for something'. Ours start with a process. Where does your team copy data between systems? Which emails get the same reply every time? What report takes someone half of every Monday? Those are the places where automation pays for itself.
Not every step needs AI. Moving a form submission into your CRM is a simple integration. Reading a messy PDF invoice and pulling out the line items is where a language model earns its keep. We use AI where judgment or unstructured text is involved, and plain rules everywhere else, because rules are cheaper, faster, and easier to trust.
Every automation we build has a person in the loop where mistakes would be costly, logging so you can see what happened, and a clear owner on your team. We measure hours saved before and after, so you know whether it was worth it.
Is this right for you?
You'll get the most out of it if any of these sound familiar:
- Staff spend hours each week copying information between tools.
- The same customer questions or internal requests come in every day.
- Work stalls because one person is the only one who knows the process.
- You've tried Zapier recipes, but they break and nobody maintains them.
What you get
Included in a typical engagement:
- Process mapping workshop with your team
- Automation opportunity list ranked by hours saved
- Build of the first two or three automations
- Human review steps for high-stakes actions
- Logging, alerts, and error handling
- Documentation and team training
How it works
Discovery takes 1 to 2 weeks. A first set of automations usually goes live within 3 to 6 weeks.
Map the work
We sit with the people who do the work and document each step, tool, and handoff.
Pick the targets
We rank opportunities by time saved, risk, and how hard they are to build.
Build and test
Automations run alongside the manual process until the results match.
Hand over
Your team gets documentation, alerts, and a named owner for each automation.
What affects the price
Every quote is fixed and written down before work starts. These are the things that move it:
- Number of processes automated
- Systems involved and whether they have APIs
- AI usage volume (model costs scale with use)
- Compliance or review requirements
Mistakes we plan around
The problems we see most often when this work is rushed:
- Using AI for steps a simple rule would handle more reliably.
- Automating a broken process instead of fixing it first.
- No alerting, so failures go unnoticed for weeks.
AI Business Automation questions
What kinds of tasks can AI automate?
Anything involving reading or writing unstructured text: sorting emails, extracting data from documents, drafting replies, summarizing calls, and classifying requests. Paired with integrations, it can then act on that information in your other systems.
Will this replace people on our team?
In our experience it mostly removes the parts of the job people dislike, like data entry and copy-paste, so they can spend time on work that needs judgment. How you use that time is your call.
Is our data safe?
We use business API tiers that don't train on your data, keep sensitive information out of prompts where possible, and store logs in your own accounts. For regulated data we'll discuss the options before building anything.
How do we know it's working?
We measure the time the task took before automation and track volume, errors, and exceptions after. You'll see the numbers, not just a demo.
What does it cost to run?
Running costs come from platform subscriptions and AI usage. For most small and mid-size businesses this is modest, and we estimate it before building.
Often paired with
Services clients commonly combine with this one.
- Workflow Automation
Connect your apps so data moves between them automatically instead of by copy and paste.
- AI Chatbot Development
Chat assistants trained on your own content that answer customers accurately and know when to hand off.
- CRM Automation
Lead routing, follow-ups, and pipeline updates handled by your CRM instead of your sales team.
- Reporting Automation
Reports that build themselves from your data, on schedule, instead of eating someone's Monday.
Want a quote for this?
A few sentences is enough. We'll reply within one business day with questions or a suggested next step, and a fixed quote once the scope is clear.
What you can count on
- A fixed, written quote before any work starts
- Code, domain, hosting, and analytics in your name
- A progress update every week during projects
- Monthly plans that run month to month
- A reply within one business day