Integrations & APIs
Your systems don't share data. Orders fall through.
We connect your CRM, billing, warehouse, and support tools so information moves without a human copying it between tabs.
What we do · AI
AI & Automations
Your team copies data between systems. Your tools do not talk to each other. AI pilots stall before reaching customers. We fix all three, with one team from start to launch.
−38%
Typical drop in manual support tickets after intake automation goes live
10d
Typical window from signed brief to first automation running in production
Week 3
Built for volume spikes and exception routing
How we work
Tell us what is eating your week.
We start with the boring parts. Data moving between systems, triggers that actually fire, and a clear path when something falls outside the rules. No new platform to learn. We work inside what you already have.
Most AI projects look fine in a demo. They break when real volume shows up, or when an edge case nobody thought about lands in an inbox with no next step. We build for week three, when volume spikes and exceptions need a routed path with a response target.
Usually it is the same few places: the sales team updating the CRM by hand, support answering repeat questions, finance pulling numbers from five spreadsheets, marketing waiting on IT for a connection. If that sounds like your Monday, we have done this before.
Four ways we typically tackle it: Integrations & APIs to get systems talking, workflow automation for the repeat tasks, AI inside existing tools where your team already works, and AI chatbots for websites when visitors need answers, initial screening, or a handoff before your team replies.
The full AI picture sits on the overview page. WordPress-specific work is on the WordPress agency page. If you need the strategy layer first, Tech Strategy & Consulting is the place to start.
What we cover
Four areas of work.
Workflow automation
Your team does daily what software could handle
Order intake, supplier routing, approvals, status updates: automated where volume justifies it, with a routed path for anything that needs judgment.
AI inside your existing tools
AI that works where your team already works
Your CRM, helpdesk, and internal docs get AI-assisted drafts and answers. Tested against real content before it touches a customer.
AI chatbots for websites
Visitors get answers before they move on
Website-trained assistants answer repeat questions, check if visitors are a good fit, and hand off to a human when the conversation needs judgement.
What ships
What you get when we are done.
Demo day is easy. Week three is when volume spikes, AI spend creeps up, or a queue backs up with nobody watching. **We document what happens when things go wrong, before launch.**
✓
Connections to your source systems, with a written map of what data moves where
✓
Connections that are safe to rerun without duplicating data, plus a log of failed runs and how to retry them
✓
Processing sized for your busiest week, with load tested against real volume
✓
A place for requests that do not match the rules, with routing to the right person
✓
Tests that confirm AI answers are still accurate after changes, with spending limits per team
✓
A dashboard your operations manager can read: speed, error rate, and cost per automated job
✓
Written notes on personal data rules and how long data is kept
Fit
Who this work serves.
Good fit
Teams where manual work is eating budget
Sales teams copying data into CRM by hand. Support teams answering the same ten questions. Finance teams assembling reports from five spreadsheets. Marketing teams waiting on IT to connect the new tool. If that describes your week, this is the right conversation.
- Companies with real customer volume and compliance constraints
- Leaders who will name an owner for exceptions before we write code
- Stacks where connected systems are the product, with integration scoped from day one
Better to clarify first
When another step should come first
If you need a deck to justify a vendor you already picked, or a twelve-month AI programme with no live date, we will name the safer first step and save everyone the quarter.
- Nobody owns data quality or what happens when automation hits an edge case
- Procurement needs a big-four logo more than something running in production
- The project cannot name a measurable outcome within 90 days
Recent results
What changed after we shipped.
What broke
A B2B services client had intake buried in email
Support copied order details from inboxes into three systems by hand. Errors showed up Friday afternoons. Nobody owned the handoff when a field did not match.
What we built
Intake automation with a contact for exceptions
We connected email intake to the CRM and warehouse tools, routed mismatches to one person, and set spending limits per team. First automation went live in twelve business days.
What moved
Ticket volume dropped 38 percent in 60 days
Manual intake tickets fell by a median 38 percent within two months. One person still handles exceptions. The team stopped copying the same fields every morning.
Recent work
Three recent projects.
EdTech · Tech Consultant & Dev
4countries
home-music-teachers.de · .at · .ch · .nl (Dutch + English)
↗
AI · Fractional CTO
Relaunch2024
Conversational AI vendor. full site relaunch and marketing page system for sales enablement.
↗
B2B Media · Fractional CTO
4markets
vegconomist.com · vegconomist.de · vegconomist.fr · vegconomist.es · cultivated-x.com
↗Plan the work
Choose the workflow before choosing the model.
AI automation project cost
Production price ranges, pilot traps, and an editable opportunity scorecard.
AI automation for operations
The commercial solution for teams moving data and decisions by hand.
Automation tools compared
Where no-code tools hold, where custom services are justified, and what operations inherits.
FAQ
Questions teams ask before approving automation scope.
What is included in AI and automation engagements?
We map how the work runs today, connect the tools, build the automated path, and leave you with reporting on volume, cost, and reliability. Same team from start to finish.
How quickly can we launch a first automation?
A first working automation typically goes live in ten to twenty business days when system access and a test environment are already in place.
How do you avoid AI pilots that stall?
We scope only use cases with clear owners, measurable success criteria, and a date for going live. If those conditions are missing, we stop before build starts.
What does an AI automation project actually look like, from start to finish?
We start by watching how the work actually runs: which tasks repeat, how long they take, where errors show up. Then we wire triggers, data moves, exception handoffs, and monitoring on top of tools you already use. First working automation typically goes live in 10 to 20 business days. One person stays in the loop for anything requiring judgment.
How do you connect AI automation to older systems without replacing them?
We build a connection layer that works with your existing systems without changing them. The automation connects through this layer. Your existing system stays as it is. We write down what needs to change when you are ready to upgrade, but nothing breaks in the meantime.
How does AI inside existing tools work in practice?
We add AI features directly to your CRM, helpdesk, or internal knowledge base. Before touching real customers, we run tests to confirm AI answers still work correctly, set spending limits per team, and set rules for what personal data the AI can see. You get AI-assisted drafts and answers inside the tools your team already uses, with no new platform to learn.
- 10d Typical window to the first production automation
- With system access and a test environment
- −38% Median ticket-volume drop after intake automation
- Measured 60 days after launch
- Hard caps Team-level spending limits before production traffic
- Cost reporting finance can read
Start here
Ready to talk.Send us the brief.
or book a 15-minute call →or email us directly →
Not sure where to start? Send the page, workflow, or backlog causing the problem. We will tell you whether it needs a scope call, a short diagnostic, or a different first step.