We identify, redesign, and automate the operational workflows consuming your team's time — replacing manual, error-prone processes with intelligent automation that runs 24/7 without additional headcount.
Every organisation has workflows that consume disproportionate amounts of time, create disproportionate numbers of errors, and frustrate the people responsible for them. Data re-entered from one system to another. Reports that take a day to compile. Approval processes that take a week via email. These do not appear on any strategic priority list — but collectively they consume 20–40% of a knowledge worker's week.
We approach automation with a "why before how" discipline. Not every workflow should be automated — some are infrequent enough that the automation cost exceeds the benefit, some are too nuanced for rules-based logic. We map your workflows first, quantify the current cost, identify the automation opportunity, then design the right solution — which might be a simple integration, an AI agent, or a completely redesigned process first.
Connect your CRM, ERP, HRMS, finance system, and other tools into a coherent operational fabric. Data flows where it should, when it should.
Automate repetitive, rules-based tasks that cross system boundaries — data entry, report generation, document routing, status updates.
For workflows too complex or variable for RPA — AI agents that read context, make judgment calls, and handle exceptions without human intervention.
Trigger-based automation that reacts to business events in real time — new customer, completed order, overdue payment, failed delivery.
Dashboards and alerting on automated workflows. Know what's running, what's failing, and where bottlenecks remain.
Before any automation is built — process mapping, waste quantification, and redesign. Bad processes automated are still bad processes.
Map every significant workflow, quantify current time cost and error rate, and rank automation opportunities by ROI.
Challenge every candidate process — should it be automated, redesigned, eliminated, or left as-is? We recommend against automation where it doesn't make sense.
Integration strategy, tooling selection (n8n, Make, custom API, RPA, or AI agent), and data flow design.
Sprint-based build with real data and real edge cases from week one. Not a lab environment — your actual workflows.
Post-launch monitoring, exception handling review, and continuous optimisation as workflows evolve.
A 200-person company with a 3-day manual onboarding process — contracts, system access, equipment requests, orientation scheduling, all via email chains. We automated the entire flow triggered by an HRIS event.
Onboarding from 3 days to 45 minutes. Zero manual handoffs. New hires fully set up before their first day.
A retail chain processing 600+ invoices monthly across 12 suppliers — different formats, different approval rules, manual ERP entry. We built a document AI pipeline with routing logic and ERP integration.
92% of invoices processed automatically. Human review time from 40 hours per month to 4.
A B2B company with a leaky pipeline — leads falling through gaps, follow-ups missed, CRM out of date. We built an event-driven automation layer across HubSpot, email, and their proposal tool.
Follow-up response time improved 5×. Pipeline visibility increased from 40% to 95% accuracy.
We are tool-agnostic. We use n8n, Make, Zapier, custom APIs, RPA tools (UiPath, Automation Anywhere), and custom AI agents — the right tool for the specific workflow, cost profile, and maintenance requirements.
A single workflow automation takes 2–4 weeks. A multi-system automation programme covering 5–10 workflows takes 2–4 months. We always start with the highest-ROI workflow first.
That is exactly the kind of problem we enjoy. Complex, exception-heavy workflows are where simple RPA fails and where AI-powered agents create the most value.
Yes — every automation is fully documented, tested, and handed over with runbooks. You should be able to maintain and extend it without us.
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Reaching out from: Workflow Automation.