What kind of work can an AI agent automate?

Repetitive back-office processes with a predictable pattern: processing emails and their attachments, extracting and categorising data, updating records in a CRM or ERP, generating documents and routing work to the right person.

What happens when the agent is unsure?

It stops and escalates. We build confidence thresholds and human review into every workflow, so uncertain cases go to a person instead of being guessed at.

Agents run inside your infrastructure and access controls, process only the data the workflow needs, and log every action. We design to POPIA and GDPR requirements.

How long does an automation project take?

Most start with one workflow and a two- to six-week build. You bring the process knowledge; we bring the engineering. Once the first agent proves itself, we roll the same pattern out to the next process.

AI Automation & Agentic Workflow Tools

Practical AI agents that do the slow back-office admin for you

Most teams lose hours every day to admin that follows the same pattern every time: an email arrives, someone opens the attachments, pulls out the details, and types them into another system. We build AI agents that handle that pattern end to end — with the guardrails, validation and human review needed to trust them in production.

We build production-focused AI agents that automate the manual admin eating up your team's day — pulling email from a shared mailbox, processing attachments, extracting and categorising the relevant data, and posting it into your systems. Real integrations, structured output you can trust, and human review built in.

How we approach it

Start with one real workflow

We pick a single manual process — like processing invoices arriving in a shared mailbox — and map every step, edge case and exception before automating it.

Structured output you can trust

Agents extract and categorise data into defined schemas with validation rules, so downstream systems receive clean, predictable data rather than free-form text.

Guardrails and human review

Confidence thresholds, validation checks and human-in-the-loop approval keep agents from acting on uncertain inputs. Low-confidence cases are escalated to a person, never guessed.

Integrated with the systems you already use

Agents connect through shared mailboxes, CRMs, ERPs, spreadsheets and APIs, with full audit trails recording every action taken.

Frequently asked questions

What kind of work can an AI agent automate?: Repetitive back-office processes with a predictable pattern: processing emails and their attachments, extracting and categorising data, updating records in a CRM or ERP, generating documents and routing work to the right person.
What happens when the agent is unsure?: It stops and escalates. We build confidence thresholds and human review into every workflow, so uncertain cases go to a person instead of being guessed at.
Is our data safe?: Agents run inside your infrastructure and access controls, process only the data the workflow needs, and log every action. We design to POPIA and GDPR requirements.
How long does an automation project take?: Most start with one workflow and a two- to six-week build. You bring the process knowledge; we bring the engineering. Once the first agent proves itself, we roll the same pattern out to the next process.

Need help with ai automation?

Tell us what you are building and we will come back with a practical next step.

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