EKO / For owners, CFOs and senior managers
How to reduce manual management reporting work
Reporting automation starts with agreed metric definitions and sources. Systems can collect data and highlight variances, while managers check the evidence and make decisions.
A process design approach, not a ready-made product or a delivered client case.
Why reports disagree
Departments may define revenue, payments, debt and task status differently. Spreadsheets update at different times and corrections lack a history. Combining files does not resolve these differences. Agree definitions, periods, cut-off dates and metric owners first.
Start with a decision, not a large dashboard
Choose one management question: which obligations await a decision, where a variance occurred or which tasks are overdue. Specify the source, calculation and owner action for every answer. A pilot should test usefulness rather than the number of charts.
How collection could work
Scheduled exchanges collect data from available systems. Checks flag gaps, duplicates and inconsistent reference data. The report shows freshness and source record links. If a source is unavailable, the report should flag incomplete coverage rather than present old data as current.
Where a digital colleague can help
AI can draft a summary of variances and questions for responsible people. Numbers must come from verified calculations and sources. An agent’s hypothesis is not an established cause. Important conclusions require human review.
What to measure before and after
Compare time from period close to a finished report, manual transfers, corrections and the share of metrics with verified sources. Reduced delay matters only if agreed accuracy and completeness are maintained. No savings percentage is guaranteed in advance.
Preparing the first pilot
Bring a non-confidential report example, definitions of key rows and a source list. Choose one report, period and user group. Agree freshness, tolerances and acceptance criteria. Further expansion depends on the test results.
Common questions
Do we need a new BI platform?
Not necessarily. A pilot may produce an agreed spreadsheet, page or summary in an existing tool. We choose the format after the audit.
Can AI explain financial variances on its own?
It can propose hypotheses and collect supporting information from available sources. An accountable specialist checks causes and management decisions.
Moscow and other Russian cities
Our priority is small and medium-sized businesses in Moscow. Other target cities include Saint Petersburg, Novosibirsk, Yekaterinburg, Kazan, Nizhny Novgorod, Krasnoyarsk, Chelyabinsk, Samara, Ufa, Rostov-on-Don, Omsk, Krasnodar, Voronezh, Perm and Volgograd. Feasibility, delivery format and any on-site assessment are agreed for each task. This list does not imply offices in those cities.
Let’s examine your process
Describe your source systems, manual steps and desired result. Scope, timing and cost are agreed after the audit.
Discuss your project ↗