Which workflows to automate first
Rank candidate workflows by value and feasibility, with an editable prioritisation matrix for your own numbers.
Finance, HR, IT and operations still copy data, chase approvals and send reminders by hand. We pick the workflows worth automating, build on platforms you already license where possible, and keep people on judgement calls.
Software routes requests, fills documents, sends reminders and updates records; people handle judgement. Good candidates run often, follow clear rules, have few exceptions and hurt when missed or done wrong; rare, judgement-heavy or changing ones do not. See which workflows to automate.
In larger organisations, back offices run the same process hundreds of times across departments and sites:
Requisitions routed by amount, department and budget; limits enforced, full history.
Read from email or scans, matched to orders and receipts, queued for ERP approval.
HR events trigger accounts, licences, equipment and access removal, so nothing depends on memory.
Credit checks, documents and contract sign-off across sales, finance and legal.
Close checklists, reconciliation reminders, policy acknowledgements, audit evidence.
IT and facilities requests closed with approvals; scheduled reports without manual exports.
Spanning several applications? It needs system integration underneath. Emails, PDFs or free text? AI document processing extracts the data for a person to review and AI agents handle interpretation, while the workflow applies your rules and approvals.
What you already license usually suffices; new tools only when they clearly justify their cost, and outgrown workflows move to an integration platform or small custom service. Naming a product implies no partner status.
Fill this in for one workflow. If you cannot answer most items, clarify the process before automating it.
Moving information between systems? Also see the integration readiness checklist.
Walk through it with the people who do it, including unwritten exceptions and workarounds.
Output: Workflow map.
Score steps on frequency, rule clarity, exceptions and cost of mistakes; some stay manual on purpose.
Output: Prioritised automation backlog.
Explicit approval points, exception routing, logging and a manual route that still works.
Output: Working automation in test.
Test normal cases, exceptions and failures; pilot with real users before full switch-over.
Output: Test evidence, pilot notes.
Hand over runbook and rule ownership, train users and maintainers, and pick the next workflow.
Output: Runbook, training, updated backlog.
No package prices: estimates in naira from an agreed scope, taxes shown separately.
We do not quote savings figures in advance. Mapping records how often each task happens and how long it takes today, so you can estimate the effect with your own numbers and judge whether it is worth it.
Validation checks, approval points for important steps and a log of every action. Exceptions go to a person, and the manual fallback keeps work moving if you pause it.
Where it genuinely helps, such as reading an invoice or drafting a summary for review, never as the final decision-maker for consequential outcomes. We explain limits, data handling and cost first.
A high-volume, rule-based process with visible pain and a willing owner, such as purchase approvals or supplier invoice intake. An early success builds confidence for harder ones.
Rank candidate workflows by value and feasibility, with an editable prioritisation matrix for your own numbers.
AI reads documents into your systems, routes requests and forecasts from data, with people reviewing exceptions.
AI agents complete routine process steps across your systems, with approvals and a full audit trail.
Describe it in a few sentences. We will reply to talk through whether automating it is worthwhile and where to start.