Recurring report
Collect data from spreadsheets, CRM, APIs, files, or email, normalize it, calculate the required metrics, and deliver the report on schedule.
I build an operational workflow for a recurring process: data collection, checks, calculations, statuses, a report, an alert, or a simple internal interface.
This fits when the process already exists and its losses are visible: team hours, errors, delays, manual handoffs, or dependence on one person.
The output is not another manual summary, but an operational workflow around the data.
We start by measuring the operational loss, not by counting features: how often the process repeats, how many people touch it, and what an error or delay costs.
People repeatedly reconcile the same data, update statuses, check conditions, or prepare the same reports.
A missed request, incorrect amount, late status, or outdated version creates a real operational risk.
Excel, CRM, client portals, email, messaging apps, CSV files, and APIs must be manually assembled into one view.
There is a process owner, and it is possible to describe what is checked, which result is needed, and when a person must intervene.
The standard tool helps, but custom logic, integrations, or output formats still live in adjacent spreadsheets and chats.
For example: a recurring report, automated reconciliation, alert, shortlist, status panel, or a unified backend layer.
Not an attempt to automate the entire business, but one useful first release: a report, reconciliation workflow, dashboard, alert, shortlist, or internal interface.
Collect data from spreadsheets, CRM, APIs, files, or email, normalize it, calculate the required metrics, and deliver the report on schedule.
Check amounts, statuses, duplicates, missing records, overdue items, discrepancies, and other conditions that are currently reviewed by hand.
Collect source data, filter it with rules and an LLM, and score companies, candidates, partners, objects, or market signals.
A simple interface or report showing process status, problem areas, owners, and events that require action.
A working area for the team: requests, statuses, comments, owners, actions, change history, and basic roles.
A backend layer connecting a website, CRM, external APIs, spreadsheets, messaging apps, a database, and reports into one operational workflow.
Three types of systems from my product experience. Company names and internal metrics are omitted; every client solution is rebuilt around that client's data and rules.
Regularly retrieve metrics from external systems and perform repeatable actions according to defined rules and KPIs.
A Python/FastAPI service with API data collection, thresholds and rules, scheduling, a decision log, error handling, and notifications.
The same architecture applies to reconciliations, control reports, statuses, alerts, and other recurring operations.
Regularly refresh a shortlist of potential partners or target entities using several data sources and consistent criteria.
Scraping, normalization, filters, LLM analysis, result storage, and a working shortlist for the team.
It is a complete workflow from sources and rules to a usable result, without rebuilding everything manually each time.
Receive, normalize, and forward events between applications, trackers, external APIs, and an internal backend.
API endpoints, format normalization, deduplication, retries, error logs, reconciliation, and delivery control.
This is practical experience with unstable APIs, format changes, data loss, and production incidents.
A focused sprint that turns a manual report, summary, reconciliation, or recurring process into a working tool in 2-4 weeks.
You show how the report, summary, shortlist, or control workflow is currently assembled.
We define what belongs in the first working result and what should wait for a later phase.
We define sources, fields, checks, calculations, roles, notifications, errors, and the output format.
I implement the backend, source connections, processing, reporting, interface, notifications, or API integrations.
We run the workflow on real data, test errors and edge cases, and I hand over instructions and known limitations.
If the process is not yet described technically, we begin with discovery. If the scope is already clear, we can move directly into the sprint.
Review the sources, manual steps, risks, first useful release, and expected budget range.
You receive the first-release boundaries, source list, and a recommended next step. If a sprint starts within 14 days, the assessment fee can be credited toward it.
The main format for manual reporting, reconciliation, research, API integrations, alerts, and internal tools.
A first working release that can be used and developed further.
For work spanning several processes, departments, complex roles, many sources, or a full product.
Split into stages with a clear outcome and acceptance criterion for each stage.
For tools already in use: monitoring, fixes, new reports, rule changes, and continued development.
New modules and major changes are estimated separately.
The first sprint should solve one useful process, not turn into an endless attempt to automate the entire company.
Included: process review, data-source design, connections to APIs, spreadsheets, files, email, or messaging apps, plus backend logic and a database where needed.
Included: validation, filtering, and calculation rules, a report, dashboard, alert, or simple interface, basic logs, instructions, and handoff.
Not included: automating the entire business at once, an enterprise-scale BI/DWH program, or advanced interface design as a separate product.
I do not run paid media or promise sales growth. I work with data, processes, reporting, integrations, and internal tools.
I do not take on work without a process owner, access to data or sample files, and a clear acceptance criterion.
If an off-the-shelf product covers 80-90% of the requirement, it is usually more rational to use it. Custom work is justified when the workflow is genuinely specific.
We first define one useful result. We do not build a large system until the necessary data, actions, and decisions are clear.
How the report or summary is assembled, which files and systems are involved, who owns each step, how often it runs, and where it fails.
We determine whether the task fits discovery, a sprint, or another format.
We define sources, rules, risks, the output format, and the contents of the first release.
I implement the tool, run real data through it, and test errors and edge cases.
Demo, instructions, known limitations, stabilization, and a plan for further development.
I work across engineering, product, and delivery. I quickly make sense of poorly defined tasks, identify a useful first outcome, and deliver a version that can be used, validated, and developed further.
There is no extra management layer: I personally handle the first conversation, discovery, first-release scope, technical design, implementation, and outcome control. I work remotely with teams in different countries.
Short answers about manual reporting, data, SaaS, and AI.
A dashboard displays data. The problem often begins earlier: data sits in different systems, exports are unstable, validation rules do not exist, and nobody knows which version is current.
I build the operational workflow: sources, processing, checks, reporting, alerts, or an interface.
Yes. If the task is not fully defined, discovery clarifies sources, constraints, risks, the first working result, and the likely budget range.
Yes, where it adds value: classification, research, text analysis, drafting, search over data, or entity selection. High-impact actions are designed with rules, logs, and human control.
Spreadsheets, CSV, CRM, APIs, databases, email, messaging apps, files, client portals, and other sources when access is available and the task is clear.
A process owner, sample data, access to sources or test exports, a description of the current manual workflow, and a clear acceptance criterion.
Describe the steps, data sources, frequency, and cost of an error. I will tell you whether a sensible first release can be isolated and what budget range to expect.
I will review the task and usually reply within one business day. If it requires a closer review, I will get back with a short assessment within 1-2 business days.