Tool-using agents
Agents that read and write to your ERP, POS, email, WhatsApp and files.
AI services
Agentic AI automation: agents that do the work
AI agents that don't just answer — they act. Quote, verify, post, notify and follow up across your systems, under approval gates and with a full audit trail.
What we offer
What's included
Approval gates
Humans approve payments, orders and customer-facing messages before they go out.
Multi-agent workflows
Specialised agents hand work to each other for complex processes.
Audit trail
Every step, input and decision is logged for review.
From chat to action
An AI agent is given a goal and a set of tools — read an invoice, check stock, create a quotation, send a WhatsApp message — and works through the steps itself. You decide which tools it can use and which actions need a human's approval.
Examples we build
- Reorder agent: watches low stock in your inventory system, drafts purchase orders from supplier price lists and sends them for approval.
- Quotation agent: reads a customer enquiry, checks prices and availability, drafts a quote and emails it after review.
- Recovery agent: reviews overdue installments, sends personalised reminders and logs promises-to-pay.
- Reporting agent: compiles daily sales, expenses and branch performance and posts a summary to management.
Guardrails first
Every agent runs with scoped permissions, spending and volume limits, approval steps for anything sensitive, and a complete log of what it did and why — so automation stays auditable.
FAQ
Frequently asked questions
What is agentic AI?
Agentic AI means AI agents that are given a goal and a set of tools and complete multi-step tasks on their own — such as reading a request, checking data, drafting a document and sending it for approval.
Is it safe to let AI take actions?
Agents get only the permissions you grant, sensitive actions (payments, orders, customer messages) need human approval, and every step is logged.
Which systems can agents connect to?
ERPs, CRMs, accounting software, email, WhatsApp, Google Workspace, databases, spreadsheets and any system with an API.
What processes are good for agents?
Repetitive, rules-based work with clear inputs: quotations, purchase orders, follow-ups, report compilation, data checks and customer reminders.
What happens when an agent is unsure?
It stops and asks a person, attaching what it found — it never guesses on sensitive steps.
Can multiple agents work together?
Yes. We design multi-agent workflows where specialised agents hand work to each other, with a supervisor enforcing the rules.
How do we measure results?
We track time saved, tasks completed, error rates and approval turnaround against your current process.
Where should we start?
With one high-volume, repetitive process. We run a four-week pilot to prove the value before expanding.
Start with one process. Prove it in four weeks.
Pick the process that costs you the most time — we'll run a working pilot on your data.