Manual finance reconciliation
Finance and operating records stop matching.
Records stop matching between finance tools, CRM systems, payment platforms, and spreadsheets, so teams spend time checking rather than deciding.
Sound familiar?
Your team is losing hours to spreadsheets, inboxes, and manual workarounds.
ActionStar helps growing teams fix the messy processes between their tools - the duplicate entry, late reporting, approval chasing, and fragile spreadsheets that slow everything down.
Start the 2-minute workflow check
Not sure where to start? The check helps structure the issue.
Send an enquiry instead
Already know what's broken? Send context directly.
Good fit signals
This is probably worth fixing if...
If these feel familiar, there is usually a process gap costing more time than the team has stopped to measure.
01
The same data is entered into more than one system.
02
Reports need exports, clean-up, and manual checking before leaders trust them.
03
Approvals happen through inboxes, chats, and informal follow-ups.
04
Customer, finance, and operational records do not quite match.
05
One person knows the workaround everyone else relies on.
06
You know the process is inefficient, but not exactly where to start.
If two or more of these feel familiar, start with the workflow check.
Start the 2-minute checkBefore
Form
Sheet
Inbox
Manual input, copy-paste, chasing updates.
After
CRM
Live Integration
Dashboard
Connected data, clear ownership, live visibility.
Founder-led operations automation
Built by someone who has lived the problem.
ActionStar.ai is run by Liam Read, a data analyst and automation builder with hands-on experience across finance operations, reporting, CRM clean-up, APIs, n8n, HubSpot, Power BI, Excel, SharePoint, and internal workflow design.
Before ActionStar, I worked inside finance and operations teams where the biggest blockers were rarely the tools themselves - they were the gaps between them.
You'll get a direct reply from Liam, not a sales sequence.
Workflow check
Not sure where to start?
The 2-minute check helps you name the process that is costing time, creating risk, or depending on workarounds.
Common bottlenecks
The best first project is usually close to the pain.
ActionStar looks for operational bottlenecks where better systems, cleaner reporting, automation, or an AI assistant can remove repeated friction.
Manual finance reconciliationFinance and operating records stop matching.+
Records stop matching between finance tools, CRM systems, payment platforms, and spreadsheets, so teams spend time checking rather than deciding.
This sounds familiarWeekly reporting packsReports need exports, clean-up, and manual checks.+
Repeated exports, copy-paste steps, and manual formatting make reporting slower and more fragile than it needs to be.
This sounds familiarCRM duplicate dataCustomer records are duplicated, incomplete, or hard to trust.+
Unclear matching rules, inconsistent fields, and missing context make sales and operational follow-up harder to trust.
This sounds familiarInbox approvalsApprovals move through messages instead of a clear workflow.+
Scattered approvals create unclear ownership, weak status tracking, and limited audit visibility.
This sounds familiarSystem handoversWork moves between tools through re-entry and copy-paste.+
Information moves between people and tools through re-entry, copy-paste, and undocumented judgement calls.
This sounds familiarSpreadsheet-dependent operationsA spreadsheet has quietly become business-critical infrastructure.+
Useful working models become hidden operating systems, with fragile formulas, version issues, and reporting delays.
This sounds familiarHow ActionStar helps
How the work usually starts
We map the process, find the repeated manual work, then build the smallest useful system, report, or integration that removes it.
Discover
Map the bottleneck, the people involved, the systems in play, and the decisions waiting on better information.
Design
Shape a cleaner operating flow before choosing automation, reporting, integration, or AI assistant patterns.
Build
Implement the workflow, reporting layer, integration, controls, and practical handover needed for adoption.
Improve
Monitor the system, refine reporting, maintain automations, and keep improving as the business changes.
Founder-led proof
Built from hands-on finance and operations experience.
Reporting packs, reconciliations, CRM data, HR/payroll handovers, and automation projects inside growing teams shaped the ActionStar approach. No invented testimonials, no borrowed logos, just practical experience with the work that usually sits between systems.
Founder project experience
Selected automation projects
Practical systems, reporting, and workflow projects that shaped the ActionStar approach.
A CRM enquiry process that starts building the record before anyone picks up the phone
Problem: Enquiries needed cleaner company context, structured CRM records, and faster team follow-up.
Built: Built an enquiry workflow that enriches company and contact records using submitted domains, creates structured CRM records, routes the opportunity, alerts the team, and acknowledges the prospect automatically.
Improvement: Reduced manual research and made the first response process more consistent.
See details
Problem: Enquiries needed cleaner company context, structured CRM records, and faster team follow-up.
Built: Built an enquiry workflow that enriches company and contact records using submitted domains, creates structured CRM records, routes the opportunity, alerts the team, and acknowledges the prospect automatically.
Improvement: Reduced manual research and made the first response process more consistent.
Enquiry form -> company enrichment -> CRM records -> team notification -> acknowledgement email
n8nTwenty CRMenrichment APIsFirecrawlMicrosoft 365
Document intake that becomes structured data instead of manual admin
Problem: Uploaded documents needed repeatable extraction, validation, and downstream review.
Built: Built document-processing workflows that extract structured fields from uploaded files, validate the output, and log the result for downstream review and reporting.
Improvement: Created a clearer path from document intake to reviewable operational data.
See details
Problem: Uploaded documents needed repeatable extraction, validation, and downstream review.
Built: Built document-processing workflows that extract structured fields from uploaded files, validate the output, and log the result for downstream review and reporting.
Improvement: Created a clearer path from document intake to reviewable operational data.
Document upload -> extract -> classify -> validate -> log -> review
document parsingstructured JSON schemascloud loggingBigQueryAPIs
Reporting that moves from exports and clean-up to a repeatable monthly flow
Problem: Finance and operational reporting relied on repeated exports, spreadsheet manipulation, and manual checks.
Built: Connected finance and operational data to reduce repeated exports, spreadsheet manipulation, and manual reporting steps.
Improvement: Made recurring reporting and reconciliation work more structured and repeatable.
See details
Problem: Finance and operational reporting relied on repeated exports, spreadsheet manipulation, and manual checks.
Built: Connected finance and operational data to reduce repeated exports, spreadsheet manipulation, and manual reporting steps.
Improvement: Made recurring reporting and reconciliation work more structured and repeatable.
Finance data -> operational data -> reconciliation logic -> reporting model -> review
Xero workflowsdebtor reportingAcumatica APIsExcel modelsPower BI
HR and payroll handovers that stop relying on copy-paste
Problem: Employee and leave information had to move between HR and payroll systems with consistent rules.
Built: Mapped employee and leave information between HR and payroll systems, applying field mappings, policy rules, date logic, deduplication, and workflow routing.
Improvement: Reduced avoidable re-entry and made policy-dependent workflow steps easier to manage.
See details
Problem: Employee and leave information had to move between HR and payroll systems with consistent rules.
Built: Mapped employee and leave information between HR and payroll systems, applying field mappings, policy rules, date logic, deduplication, and workflow routing.
Improvement: Reduced avoidable re-entry and made policy-dependent workflow steps easier to manage.
HR data -> field mapping -> policy rules -> date logic -> payroll workflow
HiBobHumaansEmployment Heron8n
Next step
Find the process that is slowing you down.
Use the quick workflow check if you want a lower-friction first step, or send an enquiry if you already know what is slowing the team down.
Step 01
Send a rough description of the bottleneck.
Step 02
Liam reviews it and replies within one working day.
Step 03
You get a practical next step - even if the answer is 'this is not the right fit yet.'