Process Improvement, Automation & AI

Simplify manual work, strengthen controls and use automation safely.

Linkomo Solutions helps finance and operations teams reduce spreadsheet dependency, clarify ownership, improve workflows and identify safe opportunities for automation and AI.

Common client situations

Monthly close involves too many manual steps, workarounds and reconciliations.
Billing, invoicing and cash collection are partially manual and difficult to track end to end.
Finance team spends more time gathering and fixing data than analysing or advising.
Process ownership is unclear, leading to errors, delays and missed controls.
There is interest in automation or AI but uncertainty about where it applies safely.
Handoffs between local, regional and central teams create gaps, duplications and exceptions.

What we help with

Finance process clean-up

Monthly close routines.
Payroll-to-billing reconciliation.
Invoice creation and validation.
Accounts receivable visibility.
Cash application and remittance matching.
Contract-to-invoice alignment.
Billing completeness checks.
Working-capital control.
Handoffs between local, regional and central teams.

Pay-bill-cash visibility

If work was performed or someone was paid, was the customer billed correctly, on time, and was the cash collected?
End-to-end traceability from service delivery to invoice to receipt.
Identification of unbilled work, delayed collections and billing gaps.

Back-office efficiency

Identify repetitive manual work: downloading reports, copying data between systems, processing email submissions, manually entering invoice data or searching contracts for recurring answers.
Prioritize improvements by time saved, error risk and control impact.

Secure automation and AI

Document reading and structured PDF extraction.
Email classification and routing.
Invoice matching and reconciliation drafts.
Exception reporting and flagging.
Process documentation and mapping.
Sensitive data, client information, financial information and personal data require clear rules, access controls and security decisions before automation is introduced.

Automation should not remove control. Sensitive data, client information, financial information and personal data require clear rules, access controls and security decisions before automation is introduced.

Typical outputs and deliverables

Finance process assessment and improvement plan
Pay-bill-cash visibility model
Month-end close improvement roadmap
Process documentation and responsibility matrix
Automation opportunity assessment
AI use-case evaluation with risk and control notes
Workflow design with exception handling
Back-office efficiency analysis
Controls and audit trail documentation

Improve efficiency without losing control.

Start with an assessment of where manual work, unclear ownership and missing controls are creating the most risk and wasted time.

Discuss your situation