AI agents that finish the busywork, not just answer questions
Agents that read incoming work, decide the next step, update your systems and draft replies, while your team approves anything that matters.
Where it saves time
Common places businesses start. We help you pick the one with the biggest payoff.
Inbox triage
Sort incoming emails and tickets, tag them and route each to the right person.
Invoice handling
Read invoices, match them to orders and prepare entries for approval.
Lead follow-up
Research new leads, update your CRM and draft personalised first emails.
Report preparation
Pull numbers from several tools and draft a weekly report for review.
Customer onboarding
Collect documents, check they're complete and create the customer account.
Data clean-up
Find duplicates and gaps in your records and suggest fixes.
How it works
- 1
Map the task
We follow the task step by step with your team and agree where a person must approve.
- 2
Build a prototype
A working agent runs on real examples so you can judge its accuracy early.
- 3
Add guardrails
Approval steps, limits and logs are added so the agent can't act outside its role.
- 4
Launch and monitor
The agent goes live with monitoring, and we expand what it handles over time.
What you get
- Agent connected to your email, CRM, sheets or accounting tool
- Approval steps for payments, messages and record changes
- Activity log of every action and decision
- Accuracy testing on your real examples
- Usage and cost limits
- Monthly review and improvements
Built with
Claude
Gemini
LangChain
n8n
Python
We're model-agnostic: the right model depends on your task, budget and data rules, and you aren't locked to one provider.
AI you can safely trust with real work
The most common worries about AI are wrong answers, leaked data and surprise bills. Each one is designed out from the start.
A person approves key actions
Payments, refunds, customer messages and record changes wait for approval until you choose otherwise.
Answers come from your data
Assistants answer from your documents and show their sources, and say so when they don't know.
Your data stays private
We agree upfront where data is stored and processed, and use providers and settings that don't train on it.
Running costs you can predict
Usage limits, cost tracking and the right-sized model for each task, so the monthly bill holds no surprises.
AI agents questions
Straight answers before you start.
Still have a question?
Ask us directly. A real person replies within 24 hours.
How is an AI agent different from a chatbot?
A chatbot mainly answers questions. An agent carries out work: it reads, decides the next step and updates your tools, with approval where needed.
Can an agent make mistakes?
Yes, which is why we test it on your real examples, add approval steps for important actions and log everything it does so issues are easy to spot and fix.
Which tools can it work with?
Most tools with an API or export, such as Gmail, Google Sheets, HubSpot, Zoho, Tally exports and your own databases.
Where should we start?
With one repetitive task that takes hours every week and has clear rules. We help you pick it in the first workshop.
Tell us about your project
Share a few details and we'll come back with honest advice, even if we're not the right fit.
What happens next
Step 1: We reply within 24 hours
A real person reads every message and writes back.
Step 2: 30-minute discovery call
We talk through your goals, users, timeline and budget.
Step 3: Written scope and fixed quote
You get a clear plan and price before any work starts.