The process works, but only because people keep pushing it
The fastest capability gain in most businesses is removing the work that should never have needed a person.
01
Request arrives
email · form · portal
02
Read & classified
type · urgency · owner
03
Context gathered
ERP · CRM · history
04
Rules applied
thresholds · policy
05 · Exception
A person decides
only when the rules say so
06
Action taken
posted · sent · scheduled
07
Recorded
every step, every time
Where it fits
If your team is chasing it, it is a candidate.
Orders are re-keyed from email into the system. Invoices wait in an inbox for someone to forward them. Approvals happen in a chat thread and are then recorded somewhere else. Reports are assembled by copying figures between spreadsheets. Each step is small; together they consume days of skilled time every week and introduce errors at every hand-off.
The business has usually grown faster than its processes. What was manageable at ten transactions a day is a bottleneck at a hundred, and hiring more people to push paper is the expensive answer.
- The same data entered into two or more systems by hand01
- Approvals that depend on someone remembering to chase02
- Documents moving through inboxes, shared drives and messaging apps03
- Month-end or period-end work that relies on a handful of people and late nights04
- Errors discovered downstream that trace back to a manual step05
- Growth plans that would require hiring simply to keep processing volume06
The approach
Rules where rules are enough, AI where judgement is needed
We map the workflow end to end, including the informal steps that never appear in the official procedure. Then we decide, step by step, what should be deterministic, what needs AI to read or classify unstructured input, and what must remain a human decision. Most production automations are hybrids, and the most reliable parts are usually the simplest.
1. Process mapping
We document how the work actually flows today, with volumes, timings and failure points, using your real cases rather than an idealised diagram.
2. Step classification
Each step is marked as rule-based, AI-assisted or human. This is where most of the design value lies and where over-automation is avoided.
3. Build on the right tools
Depending on your systems, we build on an established automation platform, native system features, or custom services. The choice is driven by reliability and maintainability, not novelty.
4. Exception design
Every automation defines what happens when input is unexpected: who is notified, what they see, and how the case is resolved and recorded.
What we build
Workflows we automate
Illustrative of what a system in this area can include. Every build is designed from your workflow, not from a catalogue.
- 01Document workflowsCapture, classification, extraction, validation and routing for invoices, orders, contracts, delivery notes and forms.
- 02Approval automationRequests routed to the right approver with context, escalations on delay, and decisions written back to the system of record.
- 03Sales and CRM automationLead capture, enrichment, assignment, follow-up reminders and pipeline hygiene without manual updating.
- 04Finance and invoice workflowsSupplier invoice matching, payment run preparation, expense handling and reconciliation support with exceptions surfaced for review.
- 05Operations workflowsOrder processing, scheduling, status updates and customer notifications triggered by real events rather than manual checks.
- 06Hybrid rule-and-AI automationsDeterministic flows with an AI step where unstructured input, such as an email or a scanned document, must be understood.
Automation should make control easier, not weaker
Human authority · exceptions routed to a named owner
A well-designed automation records every step, so accountability improves compared with a process that lived in inboxes. Decisions that carry financial, legal or customer risk are placed with named approvers, and the system makes those approvals faster and better informed rather than removing them.
- Approval thresholds and approvers configured explicitly, not buried in code
- Exceptions routed to a person with the full context needed to decide
- An audit trail for every automated action and every human decision
- A clear way to pause an automation and fall back to the manual process
Built around the systems you already run
Workflow automation lives in the connections between your existing tools. We work through supported integrations and APIs and avoid brittle approaches such as screen scraping wherever possible. If a system cannot be connected reliably, that constraint shapes the design rather than being discovered later.
- ERP and accounting (SAP, Microsoft Dynamics, Oracle NetSuite, Odoo, Tally, Xero, QuickBooks)
- CRM (Salesforce, HubSpot, Zoho CRM, Pipedrive)
- Email and document sources (Microsoft 365, Google Workspace, scanned PDFs)
- E-signature and contract tools
- Automation platforms (Power Automate, Make, n8n, Zapier) where they fit
- Messaging channels for notifications and approvals, where compliant
- Spreadsheets that currently act as systems of record
How an engagement runs
From bottleneck to running automation
1. AI Leverage Call
We talk through the workflow that hurts most and confirm whether automation, integration or a process change is the right first move.
2. AI Opportunity Blueprint
End-to-end process map, step classification, tooling decision, exception design and a sequence of workflows to automate.
3. Automation Sprint
One meaningful workflow automated and running on real transactions, with the people who own it involved throughout.
4. Production intelligent system
The automation hardened with monitoring, alerting, documentation and handover to your team.
5. Ongoing optimisation
Volume and exception review, extension to adjacent workflows, and adjustments as your systems and processes change.
Scope grows only as value is shown. The next workflow is chosen, not assumed.
Bring us the process people complain about
If a workflow depends on re-keying, chasing or copying, it is a candidate. Describe how it runs today, roughly how often, and which systems it touches. Discuss an AI opportunity with us and we will tell you what could be automated safely and what should stay in human hands.
Questions about this service
Is this AI, or is it traditional automation?
Usually both, and the distinction matters. Rule-based automation is predictable and cheap to run, so it handles every step that can be defined precisely. AI is added only where the input is unstructured or the step needs interpretation, such as reading an email or classifying a document. We tell you which is which.
Our process has many exceptions. Can it still be automated?
Yes, provided exceptions are designed in rather than ignored. The automation handles the standard path, recognises when a case falls outside it, and routes that case to a person with the context to resolve it. Over time, recurring exceptions can become new rules.
Will we depend on you to keep it running?
No. Automations are documented, monitored and handed over so your team can operate them. Ongoing optimisation is available if you want us to keep improving the workflow, but it is a choice rather than a dependency.
What if our systems do not have APIs?
Many older or niche systems still offer exports, database access or file-based integration that can be used reliably. Where a system genuinely cannot be connected, the design places a human step at that boundary and automates everything around it.
Where is capability hiding in your business?
Bring one workflow that costs your team more time than it should. We will tell you honestly whether AI, automation or a better system belongs there.