Reporting collation, document handling, data entry, lead routing: the work that fills your team's week but never moves the needle. We build automations, increasingly run by AI agents that handle the judgment steps, that take it off their plate for good.
Speak to an expert →Traditional automation moves data when a trigger fires. Agent-run automation goes further: it reads, classifies, decides, and drafts, the steps that used to need a person, with human review exactly where it matters.
Common workflows we automate:
Reporting collation, commentary, and distribution.
Document intake, extraction, and routing.
Lead scoring, routing, and CRM hygiene.
Cross-platform data synchronisation.
Invoices, contracts, briefs, and purchase orders read by agents that extract the data, classify the document, route it to the right system, and flag anything unusual for human review. Hours of manual handling become minutes of oversight.
Agents that assemble reporting from your platforms, annotate it with the commentary your team currently writes by hand, and distribute it on schedule. Your Monday morning report writes itself, and flags the anomalies worth your attention.
Lead handling, campaign QA, data sync, and escalations run continuously in the background, with every action logged and reviewable.
We document the repetitive processes consuming your team's time and rank them by hours saved and error risk.
We choose the right tool for each job, Zapier, Make, n8n, or an AI agent for steps needing judgment, and design workflows with error handling and visibility built in.
We build in stages, run automations in parallel with the manual process until trust is earned, then cut over.
Every automation is documented and observable, so your team owns the system rather than depending on us.
Let's discuss how workflow automation can drive measurable results for your business.
Book a call →Traditional automation follows fixed rules: when X happens, do Y. Agent-run automation adds judgment: an AI agent can read an unstructured document, decide how to classify it, draft the response, and know when to hand off to a human. That covers the workflows rules alone could never automate.
The ones with high volume, clear rules or patterns, and painful error costs: reporting collation, document intake, and lead routing are the usual winners. We rank candidates by hours saved and error risk during the mapping phase, so the first build pays for the programme.
Gradually and verifiably. New automations run in parallel with the manual process until output matches, consequential steps keep a human approval gate, and everything an agent does is logged. Autonomy is earned with evidence, not assumed.